/region of interest .
Authors . | Country /region of interest . | Care recipient . | Definition of informal care . | Sample characteristics of caregivers . | Health measure . | Methods . | matching procedure used . | Results (if applicable subgroup for which effect is found) . |
---|---|---|---|---|---|---|---|---|
Europe | Parent | Providing assistance to a parent, step-parent, or parent-in-law at least on a weekly basis : Intensive informal care (excludes caregivers helping with domestic chores) | Women aged 50–75 | Depression (Euro-D) | PSM | Yes | ↑ Euro-D (Southern Europeans) | |
US | Parent | Spent at least 100 hr since previous wave/in the last 2 years on helping parents/mother/ father with basic personal activities like dressing, eating, and bathing | Men and women aged 50–64, with only a mother alive | Mental health (CES-D 8); physical health (self-assessed health (SAH), diagnosed heart condition and blood pressure) | Simultaneous equation models (2SLS, Arellano-Bond) | N/A | ↑ CES-D 8 (married males and females) ↑ Heart condition (single males) ↓ SAH (married females) ↑ SAH (married males) : ↑ CES-D 8 (married females) ↑ Heart condition (single males) ↑ CES-D 8 (married females) | |
Europe | Parent | Women providing care to elderly parents living in or outside the household in the past 12 months almost weekly or almost daily | Women, aged 50–65 having a parent with bad or very bad health | Self-assessed health; quality of life (CASP-12) | PSM | Yes | ↑ SAH (North and Continental European caregivers) ↓ CASP-12 (Continental European caregivers) ↑ self-realized and pleasure in life (caregivers in Continental and Mediterranean Europe) ↓ able to control life and autonomous (caregivers from Continental Europe) | |
South Korea | Parent (in-law) | Any informal care provided to parents-in-law | Women with living parent (in-law) aged 45+ | Pain affecting daily activities; fair or poor self-rated health; any outpatient care use; OOP spending for outpatient care; any prescription drug use; OOP spending prescription drugs | Simultaneous equation models (2SLS, IV-probit) | N/A | ↑ Pain affecting daily activities, health self-rated as poor, OOP outpatient care (daughters and daughters-in-law) ↑ Any outpatient care use, any prescription drug use (daughters) | |
Japan | Family member living in the same household | A family member in the same household who is in need of care | Males and their spouses aged 50–64 | Employment rate, working hours, self-reported health, satisfaction with leisure time and life | PSM | No | ↓ Likelihood of participating in work No impact on SAH or life satisfaction (results not presented in article, mentioned in text) | |
Japan | Adult relatives with Alzheimer’s disease or dementia | Persons currently caring for an adult relative, with Alzheimer’s disease or dementia | Men and women aged 18+ | Comorbidities; depression (PHQ-9); work productivity (WPAI); SF-36 PCS and MCS; health care resource utilization | PSM | No | ↑ PHQ-9, MDD ↓ SF-36 PCS, MCS and health utilities ↑ Depression, insomnia, anxiety, and pain ↑ Absenteeism, overall work impairment, and activity impairment ↑ Emergency room and traditional provider visits in the past 6 months | |
Europe | Parent | Any caregiving activities to parent (help with personal care and practical household help provided outside or inside the household) : daily, weekly and any frequency of caregiving | Men and women aged 50–70 | Depression (EURO-D); indicator whether someone suffers from ≥4 depressive symptoms | Simultaneous equation models | N/A | ↑ Euro-D, 4+ depressive symptoms (females) | |
US | Individual with Alzheimer’s disease or a physical disability | Caring for an individual with Alzheimer’s disease or a physical disability within the past year | Hispanic Americans aged 65+ | Depression (CES-D 20) | Direct matching | No | ↑ CES-D 20 | |
South Korea | Spouse with dementia | Persons living with a spouse with dementia | Men and women aged 19+ | Physician-diagnosed stroke | PSM | No | ↑ Odds of stroke | |
Australia | Spouse, adult relative, elderly parent (in law) | Any time spent caring for a disabled spouse, adult relative or elderly parent/parent-in-law in a typical week Care burden: Low (less than 5 hr/w), moderate (5–19 hr/w) and high (20 or more hr/w) | 16+ males and females | SF-36 PCS and MCS | PSM | Yes | ↑ PCS (high care) : ↓ PCS (high caregiving females with a job) ↓ MCS (high caregiving females with a job) ↑ MCS (high caregiving males without job) ↓ PCS (low and moderate care) ↓ MCS (moderate and high care) | |
US | Family member or friend | Currently helping ≥1 sick, limited, or frail family member, or friend on a regular basis? Low frequency ≤2 times per week; high frequency ≥3 times per week | Women, 65–80 years old | Walking speed, grip strength, chair stands | PSM | No | ↑ grip strength (low-frequency caregivers) | |
Germany | Unknown | Providing ≥2 hr per day on care and support for persons in need of care on a typical weekday | Women aged 18+ | SF-12v2 MCS and PCS | PSM | Yes | ↓ MCS No effects | |
Germany | Anyone in need | Self-reported informal caregiving to sickness fund to receive allowance Level of care needed | Males and females aged 35+ | Drug intake | PSM + D-in-D | Yes | ↑ Intake of antidepressants, tranquilizers, analgesics and gastrointestinal agents | |
US | Family member or friend | Any care provision in the past month to a friend or family member who has a health problem, long-term illness, or disability | Noninstitutionalized U.S. civilian population aged ≥18 years | Self-assessed mental health; general health; perceived social and emotional support; sleep hygiene | PSM | No | ↑ Report >15 days of poor mental health and inadequate emotional support; ↓ Report fair or poor health (females) ↑ Report fair or poor health (males) ↓ Receive recommended amount of sleep ↑ Fall asleep unintentionally during the day | |
Europe | Partner | Daily or almost daily caregiving activities (help with personal care) to partner for ≥3 months in the past 12 months | Males and females aged 50+ | Prescription drugs usage; the number of doctor visits in the past 12 months; EURO-D depression scale; self-perceived health | PSM | Yes | ↑ Euro-D, ↓ self-reported health; ↑ prescription drug use(females), ↑ doctor visits (females) No effect |
Note: PSM = propensity score matching; 2SLS = two-stage least square; D-in-D = difference-in-difference; IV = instrumental variable; MCS and PCS = Mental Component Scale and Physical Component Scale.
Table 3 presents an extensive overview of the methods per study meeting the inclusion criteria. Three of the 15 studies use simultaneous equation models to estimate the causal impact of providing care. The instrumental variables used in these studies are roughly similar, including indicators of either the health ( Do et al., 2015 ) or the widowhood of the parent ( Coe & Van Houtven, 2009 ; Heger, 2017 ). The F -statistics show that the instrumental variables applied in the main analyses of these studies all have sufficient strength.
Methodology of Reviewed Studies
Authors . | Data source . | Sample representativeness . | Data type . | Sample size . | Study design . | Matching or IV strategy . | Methodological quality . | Family effect . |
---|---|---|---|---|---|---|---|---|
SHARE, 2004–2007 (2 waves) | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | Matched treated/ Control 1,138/3,292 | PSM | Matched on: demographics; family composition; socioeconomic variables; information on parents receiving care; self- reported probability of receiving an inheritance; mental health status and caregiver status at the first wave | Matching quality: matched on caregiver status and mental health in first wave | Not specifically considered | |
HRS, 1992–2004 (7 waves) | Nationally representative for community-based population | Longitudinal | Sample continued caregiving = 2,557 Sample initial caregiving = 8,007 | Simultaneous equation models (2SLS, Arellano-Bond) | death of mother number of boys/girls in the household | Strength of instrument: -statistics: 16–837 (continued caregiving) 6–18 (initial caregiving) | Not specifically considered | |
SHARE, 2004 and 2006/2007 | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | Matched treatment/ control 535/1,825 | PSM | Matched on: socioeconomic variables; employment; family composition; occupation and income; previous SAH, CASP and caregiving status | Matching quality: Matched on caregiving status, SAH and CASP in first wave | Not specifically considered | |
Korean LSA, 2006–2010 (3 waves) | Nationally representative study of noninstitutionalized adults aged 45 years or older | Longitudinal | = 2,528 (daughters-in-law) = 4,108 (daughters) | Simultaneous equation models (2SLS, IV-probit) | IV: ADL limitations of the mother(-in-law) and of the father(-in-law) | Strength of instrument: -statistics: 86 (daughter- in-law) and 37 (daughter) | Aim to avoid family effect by focusing on physical health and care for parents-in-law | |
Japanese panel survey on middle-aged persons, 1997–2005 | Randomly selected from the national population | Longitudinal | Matched treated/control 155/155 (males) 188/188 (spouses) | PSM | Matched on: employment, SAH, retirement, age, education, and wage | Matching quality: Not matched on pretreatment status | Not specifically considered | |
Japan National Health and Wellness Surveys 2012–2013 | Stratified by sex and age to ensure representativeness of adult population | Cross-sectional | Matched treatment/ control 1,297/1,297 | PSM | Matched on: sex, age, BMI, exercise, alcohol, smoking, marital status, CCI (Charlson comorbidity index), insured status, education, employment, income, and children in household | Matching quality: not matched on pretreatment status | Not specifically considered | |
SHARE, 2004–2013 (4 waves) | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | = 3,669 (female) = 2,752 (male) | Simultaneous equation models | IV: Indicator of whether one parent is alive | Strength of instrument: -statistics 18–47 | Estimate family effect by adding health of parent as variable to model | |
HEPESE, 2000/2001 | Representativeness not discussed in the article | Longitudinal (one wave used) | Matched treatment/ control 57/57 | Direct matching | Matched on: age, gender, socioeconomic status, self-reported health, and level of acculturation | Matching quality: not matched on pretreatment status | Not specifically considered | |
Korea Community Health Survey, 2012–2013 | Representative of the entire community- dwelling adult population in South Korea | Cross-sectional | Matched treatment/ control 3,868/3,868 | PSM | Matched on: age, sex, education, household income, insurance type, current smoker, current drinker, and stress level | Matching quality: not matched on pretreatment status | Not specifically considered | |
HILDA, 2001–2008 | Representative sample of private Australian households | Longitudinal | Matched treatment/ control 424/424 | PSM | Matched on: age, sex, marriage/partner, children, work hours, income, education, country of birth, chronic health condition limiting work, partner with a chronic health condition, another household member with a chronic health condition, having at least one living parent and baseline year | Matching quality: matched on baseline characteristics (pretreatment) | Not specifically considered | |
Woman’s Health Initiative Clinical Trial, 1993–1998 | Representativeness of sample not mentioned. Participants were recruited at clinical centers across the United States from 1993 to 1998 to participate in clinical trials | Longitudinal | Matched treatment/ control 2,138/3,511 | PSM | Matched on: sociodemographic variables and health (smoking, chronic illnesses, obesity status) | Matching quality: matching on baseline characteristics (not pretreatment) | Not specifically considered | |
GSOEP, 2002–2010 | Representative longitudinal survey of households and persons living in Germany | Longitudinal | Matched treatment/ control 1,235/29,942 | PSM | Matched on: age of mother/father; mother/ father alive; (age) partner; number of sisters; personality traits; socioeconomic variables; health status | Matching quality: Matching on health before treatment Sample stratified by care provision at = −1 | Not specifically considered | |
Techniker Krankenkasser, 2007–2009 | Administrative data from largest statutory sickness fund in Germany | Longitudinal | Matched treatment/ control 5,696/3,125,140 (males) 7,495/2,085,946 (females) | PSM + D-in-D | Matched on: socioeconomic variables; employment; education; work position; health status | Matching quality: matched pretreatment, at baseline only noncarers | Not specifically considered | |
BRFSS, 2009/2010 | Nationally representative survey in the United States | Cross-sectional | Matched treatment/ control 110,514/110,514 | PSM | Matched on: socioeconomic variables; household situation; employment, income, veteran status, immunizations within the previous year, exercise, tobacco use, self-identified physical disability, obesity status; health care access; and survey characteristics | Matching quality: not matched on pretreatment status | Not specifically considered | |
SHARE, 2004, 2006, 2010, 2013 | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | Matched treatment/ control 404/10,293 | PSM | Matched on: socioeconomic variables; household situation; wealth; health status; health and age of spouse | Matching quality: matched on pretreatment covariates + sample stratified by care provision at = −1 | Not specifically considered |
Authors . | Data source . | Sample representativeness . | Data type . | Sample size . | Study design . | Matching or IV strategy . | Methodological quality . | Family effect . |
---|---|---|---|---|---|---|---|---|
SHARE, 2004–2007 (2 waves) | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | Matched treated/ Control 1,138/3,292 | PSM | Matched on: demographics; family composition; socioeconomic variables; information on parents receiving care; self- reported probability of receiving an inheritance; mental health status and caregiver status at the first wave | Matching quality: matched on caregiver status and mental health in first wave | Not specifically considered | |
HRS, 1992–2004 (7 waves) | Nationally representative for community-based population | Longitudinal | Sample continued caregiving = 2,557 Sample initial caregiving = 8,007 | Simultaneous equation models (2SLS, Arellano-Bond) | death of mother number of boys/girls in the household | Strength of instrument: -statistics: 16–837 (continued caregiving) 6–18 (initial caregiving) | Not specifically considered | |
SHARE, 2004 and 2006/2007 | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | Matched treatment/ control 535/1,825 | PSM | Matched on: socioeconomic variables; employment; family composition; occupation and income; previous SAH, CASP and caregiving status | Matching quality: Matched on caregiving status, SAH and CASP in first wave | Not specifically considered | |
Korean LSA, 2006–2010 (3 waves) | Nationally representative study of noninstitutionalized adults aged 45 years or older | Longitudinal | = 2,528 (daughters-in-law) = 4,108 (daughters) | Simultaneous equation models (2SLS, IV-probit) | IV: ADL limitations of the mother(-in-law) and of the father(-in-law) | Strength of instrument: -statistics: 86 (daughter- in-law) and 37 (daughter) | Aim to avoid family effect by focusing on physical health and care for parents-in-law | |
Japanese panel survey on middle-aged persons, 1997–2005 | Randomly selected from the national population | Longitudinal | Matched treated/control 155/155 (males) 188/188 (spouses) | PSM | Matched on: employment, SAH, retirement, age, education, and wage | Matching quality: Not matched on pretreatment status | Not specifically considered | |
Japan National Health and Wellness Surveys 2012–2013 | Stratified by sex and age to ensure representativeness of adult population | Cross-sectional | Matched treatment/ control 1,297/1,297 | PSM | Matched on: sex, age, BMI, exercise, alcohol, smoking, marital status, CCI (Charlson comorbidity index), insured status, education, employment, income, and children in household | Matching quality: not matched on pretreatment status | Not specifically considered | |
SHARE, 2004–2013 (4 waves) | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | = 3,669 (female) = 2,752 (male) | Simultaneous equation models | IV: Indicator of whether one parent is alive | Strength of instrument: -statistics 18–47 | Estimate family effect by adding health of parent as variable to model | |
HEPESE, 2000/2001 | Representativeness not discussed in the article | Longitudinal (one wave used) | Matched treatment/ control 57/57 | Direct matching | Matched on: age, gender, socioeconomic status, self-reported health, and level of acculturation | Matching quality: not matched on pretreatment status | Not specifically considered | |
Korea Community Health Survey, 2012–2013 | Representative of the entire community- dwelling adult population in South Korea | Cross-sectional | Matched treatment/ control 3,868/3,868 | PSM | Matched on: age, sex, education, household income, insurance type, current smoker, current drinker, and stress level | Matching quality: not matched on pretreatment status | Not specifically considered | |
HILDA, 2001–2008 | Representative sample of private Australian households | Longitudinal | Matched treatment/ control 424/424 | PSM | Matched on: age, sex, marriage/partner, children, work hours, income, education, country of birth, chronic health condition limiting work, partner with a chronic health condition, another household member with a chronic health condition, having at least one living parent and baseline year | Matching quality: matched on baseline characteristics (pretreatment) | Not specifically considered | |
Woman’s Health Initiative Clinical Trial, 1993–1998 | Representativeness of sample not mentioned. Participants were recruited at clinical centers across the United States from 1993 to 1998 to participate in clinical trials | Longitudinal | Matched treatment/ control 2,138/3,511 | PSM | Matched on: sociodemographic variables and health (smoking, chronic illnesses, obesity status) | Matching quality: matching on baseline characteristics (not pretreatment) | Not specifically considered | |
GSOEP, 2002–2010 | Representative longitudinal survey of households and persons living in Germany | Longitudinal | Matched treatment/ control 1,235/29,942 | PSM | Matched on: age of mother/father; mother/ father alive; (age) partner; number of sisters; personality traits; socioeconomic variables; health status | Matching quality: Matching on health before treatment Sample stratified by care provision at = −1 | Not specifically considered | |
Techniker Krankenkasser, 2007–2009 | Administrative data from largest statutory sickness fund in Germany | Longitudinal | Matched treatment/ control 5,696/3,125,140 (males) 7,495/2,085,946 (females) | PSM + D-in-D | Matched on: socioeconomic variables; employment; education; work position; health status | Matching quality: matched pretreatment, at baseline only noncarers | Not specifically considered | |
BRFSS, 2009/2010 | Nationally representative survey in the United States | Cross-sectional | Matched treatment/ control 110,514/110,514 | PSM | Matched on: socioeconomic variables; household situation; employment, income, veteran status, immunizations within the previous year, exercise, tobacco use, self-identified physical disability, obesity status; health care access; and survey characteristics | Matching quality: not matched on pretreatment status | Not specifically considered | |
SHARE, 2004, 2006, 2010, 2013 | Representative for the noninstitutionalized population aged 50 and older | Longitudinal | Matched treatment/ control 404/10,293 | PSM | Matched on: socioeconomic variables; household situation; wealth; health status; health and age of spouse | Matching quality: matched on pretreatment covariates + sample stratified by care provision at = −1 | Not specifically considered |
Note: SHARE = Survey of Health, Ageing and Retirement Europe; HRS = Health & Retirement Study; HEPESE = Hispanic Established Populations for the Epidemiologic Study of the Elderly; HILDA = Household, Income & Labour Dynamics in Australia Survey; GSOEP = German Socio-Economic Panel; BRFSS = Behavioral Risk Factor Surveillance System; PSM = propensity score matching; 2SLS = two-stage least square; D-in-D = difference-in-difference; IV = instrumental variable.
Most articles ( n = 12) use a matching design to compare caregivers and noncaregivers. As mentioned in Method section, we only included studies that matched respondents on the health of the caregiver to avoid omitted variable bias. Six ( Brenna & Di Novi, 2016 ; Di Novi et al., 2015 ; Kenny et al., 2014 ; Schmitz & Westphal, 2015 ; Stroka, 2014 ; de Zwart et al., 2017 ) of the 12 matching studies follow the approach of Lechner (2009) by matching on precaregiving variables and only comparing caregivers with noncaregivers who both did not provide care last year.
Only two of the studies under review ( Do et al., 2015 ; Heger, 2017 ) specifically accounted for the family effect. Do and colleagues (2015) argued to avoid picking up the family effect by focusing on (a) physical health effects and (b) females who provide care to their parents-in-law. As the family effect relates to worrying about an ill family member, the authors assumed that these worries do not affect the physical health of the caregiver. They furthermore assumed that this family effect is absent or at least smaller if one’s parent-in-law falls ill rather than one’s own parent. Heger (2017) aimed to disentangle the family effect from the caregiving effect and estimated the family effect by including a variable representing “poor health of a parent” and the caregiving effect by including a variable representing “informal caregiving” in the model. None of the other studies accounted for the family effect, thereby potentially overestimating the effect of caregiving on health.
The studies that we review use different methods, which complicates comparing effect sizes across studies because, even if estimated on the same study sample, the methods would yield estimates of the effect that are valid for other subgroups of the study samples. With a matching design, caregivers are matched to similar individuals who do not provide care. These studies hence estimated the average treatment effect on treated (ATET): the health impact of informal care for the current informal caregivers. When using instrumental variables in simultaneous equation models, the local average treatment effect (LATE) is estimated. This represents the health impact of caregiving for those who started caregiving in response to the instrument, that is, illness or widowhood of a parent.
Hence, there are two potential methodological reasons for any observed differences in effect size between studies included in this review. First, effect sizes could differ as the ATET measures the impact of any form of caregiving while the LATE measures the impact of caregiving in response to severe illness or decease. Second, some studies do not account for the family effect, which leads to different estimates.
The various definitions of informal caregiving and the variety of outcome measures further complicate comparison of the findings of these studies. The definition of informal caregiving differs per study from providing care to a parent ( n = 5) or spouse ( n = 1), caring for anyone/a family member or friend ( n = 5), and informal care for someone with a specific illness (e.g., dementia; n = 2). Lastly, two studies ( Fukahori et al., 2015 ; Hong et al., 2016 ) proxy for informal caregiving by defining caregivers as persons living together with a family member or spouse in need. Although these studies aimed to estimate the impact of informal care, and as such adhere to the inclusion criteria, these rough measures of informal care might lead to underestimations of the caregiving effect because many noncaregivers may be misclassified as caregivers.
In addition, various health measures were used to estimate the impact on health. Studies focus on the mental health impact ( n = 3), the physical health impact ( n = 4), or both ( n = 8). These health states are measured via either validated health measures, drug prescription data, or information on health care usage. The studies also differ in their specification of caregiving, for example, by restricting the sample to respondents who provide more than 2 hr of informal care per day.
The studies included in the review provide a fairly coherent picture. All studies find a short-term negative effect for certain subgroups of caregivers, except for the study by Fukahori and colleagues (2015) . An explanation for this latter finding could be the very rough proxy of informal care used in this study: household members were assumed to provide informal care when someone in the household needs care.
While all but one of the studies found a negative effect on the short term, there are interesting differences in the effect sizes between and within the studies. The studies estimating mental health effects all found that caregiving might result in higher prevalence of depressive feelings and lowered mental health scores. Estimates of the physical health impact of informal care were less stable and differed in sign. Many studies found negative physical health effects of caregiving ( Coe & Van Houtven, 2009 ; Do et al., 2015 ; Goren et al., 2016 ; Hong et al., 2016 ; Stroka, 2014 ; Trivedi et al., 2014 ; de Zwart et al., 2017 ). These effects relate to a wide variety of physical health outcomes such as increased drug intake ( Stroka, 2014 ; de Zwart et al., 2017 ) and pain affecting daily activities ( Do et al., 2015 ). In contrast to these negative effects, Di Novi and colleagues (2015) , Trivedi and colleagues (2014) , and Coe and Van Houtven (2009) found positive effects of informal caregiving on physical health for some specific subgroups. How physical health is measured appears to be crucial: when measured by self-assessed health, the short-run impact of caregiving is positive, whereas negative health effects are found when outcomes are measured by intake of drugs and reported pain. Di Novi and colleagues (2015) claimed that the positive impact of informal care on self-assessed health could be the result of a bias related to reference points. They argued that spending time with a person who is in poor health could lead to an increase in self-assessed health because people may take the poor health of the care recipient as a reference point, even though the objective health level of the caregiver could have decreased.
Next to differences with regards to the health outcomes studied, large heterogeneity exists with regard to the subgroup of caregivers for whom the effects are applicable. Many studies only estimated caregiving effects for females as they assumed that mostly women provide or are affected by informal care ( Brenna & Di Novi, 2016 ; Di Novi et al., 2015 ; Do et al., 2015 ; Rosso et al., 2015 ; Schmitz & Westphal, 2015 ). Studies that did separately estimate health effects for males and females often found that health effects are larger or solely present for females ( Heger, 2017 ; Stroka, 2014 ; de Zwart et al., 2017 ). Marital status also seemed to be of effect according to the study of Coe and Van Houtven (2009) , which in most cases solely found health effects of informal care for married individuals.
The intensity of provided care appears to be another source of heterogeneity in the health effects of caregiving. Various studies compared average or moderate caregivers with intensive caregivers based on the hours of care provision. These studies ( Brenna & Di Novi, 2016 ; Heger, 2017 ; Stroka, 2014 ) found larger health effects when more intensive care is provided.
A clear conclusion regarding the longer-term effects of informal caregiving cannot yet be drawn. As all studies used survey data, many were unable to estimate longer-term caregiving effects. Only five studies estimated effects over a longer period ( Coe & Van Houtven, 2009 ; Kenny et al., 2014 ; Rosso et al., 2015 ; Schmitz & Westphal 2015 ; de Zwart et al., 2017 ). Both Schmitz and Westphal (2015) and de Zwart and colleagues (2017) did not find any longer-term effects of informal caregiving on health. Schmitz and Westphal concluded that there might not be large scarring effects of care provision; de Zwart and colleagues mentioned that selective attrition may have biased their results. The other three studies estimating longer-term effects found mixed results, showing both positive and negative effects of informal care. Kenny and colleagues (2014) found negative health effects 2 years after the start of caregiving for working female caregivers and positive effects for nonworking caregiving males. Rosso and colleagues (2015) grouped all persons who provide informal care at baseline and found that after 6 years low-frequency caregivers have greater grip strength (representing physical health) than noncaregivers. The authors, however, control for various health measures but not for baseline grip-strength and mention that the effect might be explained by existing precaregiving differences. The study by Coe and Van Houtven (2009) is the only one that compared persons who stopped providing care to persons who continued caregiving for two more years. They found negative mental health effects for females and negative physical health effects for males who continue caregiving.
The aim of this systematic literature review was to understand the causal impact of providing informal care to an elderly person or older family members on the health of the caregiver. Prior reviews concluded that there is a correlation between informal caregiving and health (e.g., Pinquart & Sörensen, 2003 , 2007 ; Vitaliano et al., 2003 ); the studies included in this review indicate that there is a causal negative effect of caregiving on health. This caregiving effect can manifest itself both in mental and physical health effects. Interestingly, the presence and intensity of these health effects differ strongly per subgroup of caregivers. Especially female, and married caregivers, and those providing intensive care appear to experience negative health effects of caregiving. These groups might have several other responsibilities on top of caregiving duties, thereby being more strongly affected by the caregiving tasks.
Our findings highlight the need for caregiving interventions and stress the importance of differentiating interventions by a subgroup of caregivers. There are mainly two kinds of potential strategies: (a) improving the coping skills of the caregiver or (b) reducing the amount of care to be provided by informal caregivers ( Sörensen, Pinquart, & Duberstein, 2002 ). Examples of (a) include support groups that might help caregivers who experience stress and insecurity ( Sörensen et al., 2002 ). Examples of (b) include interventions like subsidized professional home care and assistive technology that could relieve caregivers from some of their tasks (e.g., Marasinghe, 2015 ; Mortenson et al., 2012 ).
Although our study provides interesting insights into the differential impact of informal care on various subgroups of caregivers, additional research regarding this topic is needed. Understanding why some groups are more affected by informal caregiving than others may help policymakers in facilitating the best support for informal caregivers. Furthermore, given that most empirical studies solely estimated short-term effects, research is needed about the long-term effects of providing informal care to determine whether caregiving has scarring effects.
Facing a broad research question, we aimed to establish a proper balance between precision and sensitivity of our search strategy. To do so, we included the care recipient and the used research design as elements into our search strategy. As a result, we face the risk of excluding studies that did not specifically report the recipients of informal care or the used study design. Furthermore, it is important to note that by focusing on informal care to elderly or older family members, we excluded for example studies looking at provision of care for disabled children. As caregiving stress might differ for such subgroups of caregiving, we cannot generalize our results to the entire population of caregivers.
Our review highlights the importance of accounting for the family effect, that is, the impact of being worried about someone irrespective of providing care, when estimating the caregiving effect on the health of the caregiver. Only two of the studies under review accounted for this effect. Since the family effect might bias the estimates of the caregiving effect on health, disentangling both effects seems an important focus-point for future research.
For now, we conclude that there is evidence of negative health effects of informal caregiving for subgroups of caregivers, which stresses the need for targeted interventions aimed at reducing this negative impact. Investing in support for informal caregivers by offering relieve from caregiving tasks or by organizing support groups might reduce the negative consequences of informal caregiving. As the strength and presence of the caregiving effect strongly differ between subgroups of caregivers, policymakers should aim to target subgroups of caregivers that experience the largest impact of informal caregiving.
This study has been carried out with financial support from the Network for Studies on Pensions, Aging and Retirement. Grant name: Optimal saving and insurance for old age: The role of public-long term care insurance.
None reported.
The authors thank Sara Rellstab for her contributions to the review process and Wichor Bramer for his help with drafting the search query.
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Exploring factors influencing caregiver burden: a systematic review of family caregivers of older adults with chronic illness in local communities.
Purpose of the present study, 2.1. research design, 2.2. data sources, 2.3. inclusion and exclusion criteria, 2.4. selection process and data extraction, 3.1. selected documents, 3.2. general characteristics of selected studies, 3.3. key elements identified through selected studies, 3.3.1. family caregiver burden assessment tool, 3.3.2. care recipient variables affecting caregiving burden, 3.3.3. caregiver variables that affect caregiving burden, 4. discussion, 4.1. limitations, 4.2. implications for practice and suggestions for future research, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.
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No. | Author/Year | Methodological Variables | Content-Specific Variables | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Care Recipient Variables | Caregiver Variables | |||||||||
Design | Location and Sample Size (n) | Burden Measurement | Chronic Illness/Disability State among Surveyed Older Adults | Mean Age | % of Female | Dominant Relationship with Older Adults | Mean Age | Average Care Duration | ||
Lu et al., 2015 [ ] | Cross-sectional | China n = 494 older adult–caregiver dyads | 24-item Chinese Caregiver Burden Inventory : Self-administered questionnaire | Musculoskeletal condition/more than two-thirds of the older adults needed assistance to complete more than two out of ten activities of daily living or equivalent (70.6%) | 83.393 | 51.4% | Children/son-in-law/daughter-in-law: 71.9% | 62.645 | - | |
Kristaningrum et al., 2021 [ ] | Cross- sectional | Indonesia n = 327 DM patients and their families | ZBI : Self-administered questionnaire | Diabetes mellitus | 45–65 | 48.6% | Child: 47.1% | <45 | - | |
Roudriguez-Gonzalez et al., 2021 [ ] | Cross- sectional | Spain n = 148 care recipients, 135 caregivers | Zarit Burden Interview : Self-administered questionnaire | Chronic illness/ADL mean | ≥80 | 91.1% | - | 55–64 | ≥6 years | |
Faison et al., 1999 [ ] | Cross- sectional | USA n = 88 caregivers of older chronically ill persons | BI(Burden Interview) : Self-administered questionnaire | CVD, neurological disorder, psychiatric disease, dementia, Endocrine disorder, etc. | - | 77% | Daughters: 54.5% | 53.5 | >5 years | |
Schandl et al., 2022 [ ] | Cross- sectional | Sweden n = 319 family caregivers | The Caregiver Burden Scale : Self-administered questionnaire | Esophageal cancer (adenoCa.) | 67 | 86% | Spouse: 83% | 66 | - | |
Schwartz et al., 2020 [ ] | Cross- sectional | USA n = 560 informal caregivers | the 22-item Zarit Burden Interview : Self-administered questionnaire | Cancer/ADL mean 2.8, IADL mean 5.0 | - | 77% | Spouse/significant other: 42% | 52.6 | - | |
Hooley et al., 2005 [ ] | Cross- sectional | Canada n = 50 patients and 50 primary caregivers | ZCB (Zarit Caregiver Burden) : Self-administered questionnaire | CHF, HTN, DM, MI | 72 ± 11 | 80% | Spouse: 66% | 61 ± 14 | - | |
Unnikrishnan et al., 2019 [ ] | Cross- sectional | India n = 205 caregivers of patients with cancer | ZBI (Zarit Burden Interview) : Self-administered questionnaire | Cancer | 52.6 | 48% | Children: 38% | 42.4 | <6 months | |
Iecovich, 2008 [ ] | Cross- sectional | Israel n = 114 primary caregivers | Zarit scale : face-to-face interview | Frail older people | 79.58 | 67.5% | Adult child: 70.3% | 52.89 | 5.42 years | |
Alshammari et al., 2017 [ ] | Cross- sectional | Saudi Arabia n = 315 informal caregivers | ZBI-22 : Self-administered questionnaire | Chronic problems or disabilities, cognitive impairment, and senility | 70–80 | 52.7% | Children: 69.8% | 18~27 (43.8%) | ||
Brinda et al., 2014 [ ] | Cross- sectional | India n = 85 primary caregivers who provided assistance for ADL and accompanied their older care recipients to health facilities | ZBI-22 : Self-administered questionnaire | Stroke, dementia, falls, incontinence WHODAS II mean score: 35.2 ± 13.5 | 74.3 ± 6.7 | 80% | Co-residence 87.1% | 44.2 ± 14.1 | 38.6 h/week | |
Chan et al., 2018 [ ] | Cross- sectional | Singapore n = 274 patient–caregiver dyads | ZBI-22 : Self-administered questionnaire | BI means: 19.48 ± 5.59 Dementia: 50.4% NPI-Q mean: 7.37 ± 6.59 | 85.29 ± 8 | 65% | Children: 70.8% | 59.1 ± 10.5 | 88.96 ± 66.13 h/week | |
Chen et al., 2015 [ ] | Cross- sectional | Taiwan n = 108 caregivers of disabled older adults who received home care services with intact cognition | Caregiver Burden Scale : Self-administered questionnaire | Total dependence on caregivers: 63.89% ± 25.88 BI score of >/=60:19.86 | 80.53 ± 7.17 | 65.74% | Spouse: 81.48% | 74.03 ± 6.02 | 17.50 ± 7.52 h/day | |
Choi et al., 2012 [ ] | Cross- sectional | South Korea n = 267 caregivers | Burden Scale : Self-administered questionnaire | Arthritis, hypertension, diabetes mellitus, dementia, stroke, cancer, heart disease | - | 62.5% | Children: 47.4% | - | >10 years (40.5%) | |
Freeman et al., 2010 [ ] | Cross- sectional | Japan n = 160 older adults and 84 caregivers | Japan-ZBI (J-ZBI) Burden Index of Care (BIC) : Self-administered questionnaire | BI mean scores 80–89 years: 86.7 ± 27.0 90–99 years: 63.5 ± 31.2 100 + years: 44.2 ± 33.9 | 95.35 ± 7.15 | 88.09% | Children: 54.4% | 63.7 ± 12.75 | 8.5 ± 7.8 h/day | |
Limpawattana et al., 2013 [ ] | Cross- sectional | Taiwan n = 150 informal caregivers | ZBI-22 : Self-administered questionnaire | Hypertension, diabetes, gastric disease, musculoskeletal disease, eye disease, respiration trace disease, and stroke | - | 80.67% | Children: 48.67% | 51.2 ± 13.7 | 60 month | |
Ong et al., 2018 [ ] | Cross- sectional | Singapore n = 285 caregivers | ZBI-22 : Self-administered questionnaire | Hypertension, hyperlipidemia, diabetes mellitus, mental illnesses including dementia | >60 | 64.6% | Children: 78.6% | 40–65 | - | |
Sabzwari et al., 2016 [ ] | Cross- sectional | Pakistan n = 350 caregivers | Perceived Caregiver Burden Scale : Self-administered questionnaire | Arthritis, hypertension, diabetes, memory, and agitation requires assistance: 45.7% With an assisted device: 13.7% Bedridden: 3.4% | 71.1 ± 10.1 | 68.9% | Daughter in law 34% | - | 47.23 ± 15.5 years |
Name of the Assessment Tool | Mean Range in Selected Studies | Range of Scale | Interpretation of Scores | Summary of Findings |
---|---|---|---|---|
Zarit Burden Inventory Japanese version of Zarit Burden Interview (J-ZBI) | 24.09 | 0–88 | 0–20: no or little burden 21–40: little to moderate burden 41–60: moderate to severe burden 61–88: severe burden | Little to moderate burden |
Short version of the Zarit Burden Interview | 29.42 | 12–60 | Moderate level of burden | |
ZBI’s short version for palliative care | 19.6 | 7–35 | 17 or more points: “severely” burdened | Higher scores correspond to a greater caregiving burden |
24-item Chinese Caregiving Burden Inventory | 24.85 | 0–96 | Higher scores indicate a higher degree of burden | High score indicates a high level of burden |
Caregiver Burden Scale | 25.13 | 0–60 | Resulting scores were used to represent the level of burden. Compared with low caregiver burden, high to moderate burden was associated with reductions in all HRQL aspects. | |
Caregiver Burden Scale | ≥2 | 1–3.99 | 1.00–1.99: low burden 2.00–2.99: moderate burden 3.00–3.99: high burden | High to moderate caregiver burden |
Personal Variables | ||
---|---|---|
Age | Freeman, 2008 [ ] | Care recipient age increases, and it becomes a heavier burden on their caregivers. |
Functional ability (ADL/IADL, BI) | Lu, 2015 [ ] | Functional health was associated with all five dimensions of burden. |
Roudriguez-Gonzalez, 2021 [ ] | Burden severity increases significantly with the level of dependence. | |
Faison, 1999 [ ] | Increases in ADL were associated with increases in caregiver burden. | |
Schwartz, 2020 [ ] | ADLs associated with high CGB included feeding and toileting. | |
Brinda, 2014 [ ] | The dependent older people and the time spent on ADL increased the burden on caregivers. | |
Sabzwari, 2016 [ ] | The higher the physical and cognitive dependence, the greater the burden on the caregiver. | |
Chronic illnesses | Roudriguez-Gonzalez, 2021 [ ] | Care related to incontinence has the greatest effect on burden. |
Faison, 1999 [ ] | A significant correlation was observed between incontinence and caregiver burden. | |
Hooley, 2005 [ ] Brinda, 2014 [ ] Sabzwari, 2016 [ ] | Increased caregiver burden is associated with disease burden. CVD, Parkinsonism, higher disability, and urinary incontinence significantly worsened the burden. Stroke was significantly associated with perceived caregiver burden. | |
Behavioral problem Cognition/Mental disorder | Lu, 2015 [ ] Roudriguez-Gonzalez, 2021 [ ] Sabzwari, 2016 [ ] Lu, 2015 [ ] Hooley, 2005 [ ] Sabzwari, 2016 [ ] | Behavioral problems seemed to be the most demanding stressor of caregiver burden. Burdens are aggravated when the patient has behavioral problems. The behavioral problem of the older people was a predictor of increasing the burden on caregivers. Caregiver’s cognitive status affects different dimensions of caregiver burden. Caregiver burden and patient depression score were significantly correlated. Older people with difficulty sleeping were predictors of a higher caregiver burden. |
Personal Variables | ||
---|---|---|
Age | Schandl, 2022 [ ] | Younger family caregivers were more likely to have a higher burden on caregivers. |
Unnikrishnan, 2019 [ ] | Caregivers of patients who were of older age had moderate to severe burden. | |
Limpawattana, 2013 [ ] | The age of caregivers had a positive relationship with ZBI scores. | |
Sex | Unnikrishnan, 2019 [ ] | Female caregivers had moderate to severe burden. |
Freeman, 2008 [ ] | Male caregivers experienced lower levels of burden compared to female caregivers. | |
Marital status | Schwartz, 2020 [ ] | Variables associated with high CGBs included married people. |
Relation | Faison, 1999 [ ] | Sons reported significantly less burden than did either daughters or others. |
Freeman, 2008 [ ] | Male caregivers, who are biological children, experienced lower burdens than female caregivers. | |
Education | Lu, 2015 [ ] | The higher the level of education, the higher the level of developmental burden. |
Schwartz, 2020 [ ] | High CGBs have been reported at educational levels above 4-year college degrees. | |
Duration of caregiving | Lu, 2015 [ ] | Shorter informal care hours were associated with lower levels of physical burden. |
Brinda, 2014 [ ] | Time spent on helping ADL and on supervision increased the caregiver’s burden. | |
Limpawattana, 2013 [ ] | Duration of care had a positive relationship with ZBI scores. | |
Health status | Roudriguez-Gonzalez, 2021 [ ] | Poor caregiver health also contributes to burden levels. |
Schwartz, 2020 [ ] | Self-reported poor health was reported as a high CGB. | |
Hooley, 2005 [ ] | ZBI scores were associated with an increased number of medications and comorbidities. | |
Chen, 2015 [ ] | Lower physical health and higher caregiver burden scores. | |
Choi, 2010 [ ] | There were significant correlations between health status and the burden of the family caregiver. | |
Limpawattana, 2013 [ ] | Self-reported health status had a positive relationship with ZBI scores. | |
Employment status | Roudriguez-Gonzalez, 2021 [ ] | Not being retired also contributes to burden levels. |
Unnikrishnan, 2019 [ ] | Caregivers of patients who were unemployed had moderate to severe burden. | |
Freeman, 2008 [ ] | Employed caregivers experienced less burden than unemployed caregivers. | |
Income | Schwartz, 2020 [ ] | Higher income levels were reported as higher CGBs. |
Hooley, 2005 [ ] | Caregivers with lower income had higher caregiver burden ZCB scores. | |
Limpawattana, 2013 [ ] | Self-reported income had a negative relationship with ZBI scores. | |
Sabzwari, 2016 [ ] | Financial impact had a strong correlation with perceived caregiver burden. | |
Support (family, social) | Iecovich, 2008 [ ] | Caregiver burden increased according to the availability of formal community-based services. |
Choi, 2010 [ ] | There were significant correlations between family support and caregiving burden. | |
Ong, 2018 [ ] | Caregivers with a higher level of social support experience a lower level of burden. |
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Choi, J.Y.; Lee, S.H.; Yu, S. Exploring Factors Influencing Caregiver Burden: A Systematic Review of Family Caregivers of Older Adults with Chronic Illness in Local Communities. Healthcare 2024 , 12 , 1002. https://doi.org/10.3390/healthcare12101002
Choi JY, Lee SH, Yu S. Exploring Factors Influencing Caregiver Burden: A Systematic Review of Family Caregivers of Older Adults with Chronic Illness in Local Communities. Healthcare . 2024; 12(10):1002. https://doi.org/10.3390/healthcare12101002
Choi, Jin Young, Seon Heui Lee, and Soyoung Yu. 2024. "Exploring Factors Influencing Caregiver Burden: A Systematic Review of Family Caregivers of Older Adults with Chronic Illness in Local Communities" Healthcare 12, no. 10: 1002. https://doi.org/10.3390/healthcare12101002
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BMC Geriatrics volume 21 , Article number: 105 ( 2021 ) Cite this article
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This article has been updated
The theme of young family caregivers of older relatives is still partially uncovered, although the phenomenon is increasing worldwide. This Systematic Literature Review discusses methodological and content issues of ten articles covering this topic, in order to contribute to increase the knowledge and provide suggestions for designing effective support services for adolescent young caregivers. To this purpose, the findings of this review are framed within the caregiving stress appraisal model (renamed CSA model) elaborated by Yates’ and collegues, in order to highlight differences between young caregivers and the older ones.
Multiple databases including PubMed, Web of Science, Scopus, ProQuest - Psychology Database, CINAHL Complete - EBSCOHost were used to carry out a systematic review of the literature. Additional references were retrieved from experts contacted and research knowledge. The selected articles underwent both methodological appraisal and contents analysis: for every article an appraisal score was calculated and themes and sub-themes were identified.
Out of the ten included studies three were mixed methods, six qualitative and one quantitative. Nine reached a high quality methodological score and one medium. Four main themes emerged from the content analysis: aspects of the caregiving relationship; effects of caregiving; coping strategies; recommendations for services, policy and research.
Selected studies explored practical features of the relationship between young caregivers and older family members (tasks performed, motivations, coping strategies) and highlighted both positive and negative outcomes on young people’s everyday life condition and future development. Nevertheless, these evidences were often limited to small samples that did not allow to make generalizations. More studies are needed including large samples in order to deepen the different aspects of caregiving and design tailored support services.
Peer Review reports
Family caregivers, or informal or unpaid caregivers, provide 80% of long-term care in Europe, representing the bulk of health and social care to older or disabled people [ 1 ]. About 17% of the population in Europe [ 2 ] and 18.2% in the U.S. [ 3 ] is responsible for providing long-term care to older and disabled relatives.
Recent demographic and epidemiological changes, e.g. the extension of life expectancy and the increasing share of older people with multiple chronic diseases, might determine the growth of health and social care demand, thus increasing the number of family caregivers needed [ 2 ]. In the family context, the provision of care can be considered as a continuum starting with caring about i.e. with low levels of care responsibility, moving on to taking care, i.e. increasing care responsibility, up to providing intense and regular assistance. According to the literature, family caregivers are classified as “primary caregivers”, i.e. persons who provide the majority of caregiving tasks [ 4 , 5 , 6 , 7 ]; “secondary caregivers”, i.e. carers who assist primary caregiver in making decisions and complete his/her hands-on care [ 8 ]; “tertiary caregivers”, i.e. carers providing periodical and additional support to primary caregiver and do not make decisions on the cared recipient but help with issues do not directly concerning healthcare e.g. grocery and homework [ 9 ]. Finally, “auxiliary caregivers” provide an extra-support to primary caregivers for bettering the assistance: they provide companionship to the care recipients (e.g. grandparents), try to meet their emotional needs and participate in social activities with them [ 10 ].
As regards the tasks, the family caregivers perform, on a voluntary basis, a wide range of activities requiring different levels of effort, from company to help in carrying out the activities of daily living (ADLs) up to psychological and emotional support. The effects of care on different life realms of caregivers have been largely documented by the literature, such as anxiety and depression [ 11 ], relational strains [ 12 ], social isolation that may lead to perceived stress and loneliness [ 13 ]. Moreover, providing care and exposure to the suffering of a loved one can increase the risk for psychological and physical morbidity [ 14 ].
Despite the increasing number of male caregivers [ 15 ] the primary family caregiver is typically an adult and almost always a middle-aged woman [ 16 , 17 ]. Nevertheless, in developed countries several changes in the labour market and in family settings, e.g. increasing number of employed women, lack of strong family networks, living in single parent families [ 18 ] can turn young people into family caregivers. Sometimes, young family caregivers help adult relatives, i.e. their parents, and provide assistance to a frail or disabled family member, e.g. grandparent or sibling [ 19 ] thereby playing the role of auxiliary caregivers [ 20 , 21 ]. However, parents might need care themselves because of mental illness and/or physical disability and, in this case, young children have to take on the role of primary caregiver [ 19 , 22 , 23 ].
The definition of young caregiver differs across countries, according to the level of awareness of the civil society and of research carried out on the topic [ 24 ]. In the literature, there are different interpretations concerning the age brackets identifying a caregiver as young. In fact, there are more [ 25 , 26 , 27 ] and less extensive interpretations of the age range identifying both young caregivers [ 28 , 29 ] and young adult caregivers [ 19 , 25 ]. This heterogeneity could make it difficult to compare findings from different studies, as deepened in the Methods section.
A second difficulty is the low level of self-awareness; many youngsters, indeed, do not recognize themselves as family caregivers [ 30 , 31 ]. This can happen because their culture of affiliation takes it for granted that they have to cover this role in the family, or because caring is considered as an extension of family relations [ 32 ]. Poor self-awareness may lead to a third problem: identification, which could entail resultant difficulties for recruitment and enrollment of young caregivers in research and support programs [ 18 ].
Even though there is still a dearth of quantitative cross-national studies on young family caregivers, several statistics and surveys at national level provided important information for grasping the dimension of the phenomenon, though taking into account different age ranges and, moreover, not allowing a full comparability of findings. For example, in the U.S. one fifth of caregivers was aged between 18 and 34 [ 3 ], in Canada over 1 million youth between the ages of 15–24 years (28.2% of the whole population in that age range) provided some kind of unpaid child and elder care [ 33 ], while in Australia one in twenty people (5.6% or 151,600 persons) aged 15–24 years were young caregivers [ 34 ].
Concerning Europe, in the last decade a growing attention has been paid to young caregivers, particularly in the UK, where, in 2011, there were 178,000 unpaid young caregivers (5 to 17 years-old), i.e. 19% more than in 2001 [ 35 ]. A recent cross-national survey [ 36 ] carried out in six European countries (Italy, the Netherlands, Slovenia, Sweden, Switzerland, and the UK) showed that out of 9,298 respondents, 28% were adolescent young caregivers (aged 15–17). A further exploration of the same database showed that 16.9% of adolescent caregivers aged 15–17 were caregivers of grandparents [ 37 ], suggesting the need for proofing the experience of young and adolescent caregivers of older relatives. Regardless of the age of the care recipient, when in the household a situation of disability and/or a chronic health condition occurs, young people may increase their level of involvement in carrying out basic domestic chores such as cleaning and tidying and they can start to help family members in need of care perform the activities of daily living e.g. dressing, eating, washing, up to provide support through medical care [ 38 , 39 ]. When the person in need of care is old, young people are pushed to provide care by the unavailability or unwillingness of the adult family members. Thus, young people provide care for contributing to the family ecosystem and/or in response to a request of parents, especially when the latter are working caregivers [ 40 ].
Young caregivers of older care recipients perform a wide range of caring activities: personal hygiene and meal preparation [ 40 , 41 ], help for instrumental activities of daily living, companionship and emotional support [ 42 ].
If, as highlighted above, the care activity can have a negative impact on the physical and mental health of adult family caregivers, this can happen all the more to young people and adolescents who, being still in a developmental age, can present psychological and emotional fragility [ 41 ]. According to the literature, young caregivers identify significant worries and problems in relation to their well-being, and these come over and above any ‘normal’ adolescent difficulties [ 43 ]. In particular, they report bad physical health [ 44 ], high levels of stress [ 45 ], fear and nervousness [ 46 ]. Moreover, they can run the risk of depression [ 47 ] and mental illness [ 48 ] and experience health inequalities, social, educational and employment exclusion [ 28 , 49 , 50 ]. These findings are enriched by studies that compared young adult caregivers with their non-caregivers peers, in which caregivers had significantly higher levels of symptoms of depression and anxiety than non-caregivers [ 51 ]. Following this comparative approach between young adult caregivers and non-caregiving peers, one study stated that young adult caregivers appear to be at risk for impairment in sleep quality, which in turn might impact health [ 52 ]. Furthermore, young caregivers reported less reliance on problem-solving coping, higher somatization and lower life satisfaction if compared with non-caregivers [ 53 ]. Nevertheless, several studies pointed out even possible positive effects of caregiving on adolescent and young people, e.g. learning coping skills for the future, feelings of gratification, a closer relationship with the cared for person [ 42 ] and a greater empathy [ 29 ]. A recent study comparing the impact of caregiving among adolescent young caregivers of grandparents to adolescent caregivers of other care recipients (i.e. other relatives and friends) [ 37 ] showed that the quality of the relationship between the young caregiver and his/her grandparent can mitigate the negative impact of caregiving, e.g. frustration, sense of inadequacy and mental health problems. Despite the increasing number of young people providing assistance to their relatives across the world, the aforementioned studies representing an exception, young family caregivers are not sufficiently considered by the literature, especially those caring for older family members with functional disability, in most cases grandparents [ 21 , 37 ].
The main goal of this systematic literature review is to cover this gap in knowledge by exploring how scientific literature treats the topic of young and young adult caregivers of older relatives, from a methodological as well as a content-based perspective. Hence, a methodological appraisal was carried out and the findings of selected articles were then analyzed, in order to reply to the main research questions, as suggested by Petticrew et al. [ 54 ]:
What are the methodological characteristics of the articles included in this review?
What are the main findings that emerge from these studies?
In particular, what are the experiences, motivations, and caregiving impact of two groups of young caregivers of older relatives: children (or caregiving youth) under age 18 and young adult caregivers?
What are challenges and open questions that arise from the selected articles and that could suggest future research and policy directions?
The findings related to the last three research questions are framed in a specific conceptual framework, in particular the caregiving stress appraisal model (renamed CSA model) proposed by Yates et al. [ 55 ]. This model draws upon both the stress model presented by Pearlin et al. [ 56 ] and the appraisal model presented by Lawton et al. [ 57 , 58 ]. Given that the CSA model [ 55 ] is focused on caregivers of all ages, not specifically on young caregivers, it allows us to compare the caregiving experience lived by young (adult) caregivers described in the articles selected by this systematic literature review to the caregiving experienced by caregivers of other ages.
The CSA model [ 55 ] explores the relationships between caregiving stressors and caregiver well-being, measured in terms of risk of depression, in a representative community sample of disabled elders and their adult informal caregivers. This conceptual framework, as previously written, is based on the strengths of two different models: the stress model presented by Pearlin et al. [ 56 ] and the appraisal model elaborated by Lawton et al. [ 57 , 58 ]. The model proposed by Pearlin [ 56 ] treats stress as stemming from the way caregivers’ lives become organized and the effects of this organization on their self-judgments. According to this approach, stress is a consequence of a process including the socioeconomic characteristics and resources of caregivers and the primary and secondary stressors to which they are exposed.
In particular, primary stressors are hardships and problems anchored directly in caregiving, while secondary stressors are related to two categories: the strains experienced in roles and activities outside of caregiving, and intrapsychic strains, involving the diminishment of self-concepts. Coping behaviors and social support can potentially intervene as mediating factors at multiple points along the stress process. Lawton et al. [ 57 , 58 ] proposed a conceptual model that adds to the Pearlin findings the importance of the individual appraisal and reappraisal process. According to this, the appraisal of a caregiving stressor is a subjective process accounting for the social, cultural, and economic characteristics of the caregiver.
Furthermore the caregiving is a dynamic process that involves caregivers, care recipients and other psychological and relational aspects. Starting from the strengths of these two models [ 56 , 57 , 58 ], the CSA conceptual framework [ 55 ] links caregiving stressor, caregiving appraisal and potential mediators to caregiver well-being. In particular, this model is composed of five interrelated factors: 1) the variables of care recipient needs for care or “primary stressor” (i.e. cognitive impairments, functional disability and problems behaviours); 2) caregiver’s primary appraisal (i.e. hours of informal care, that is the response to the care recipient’s health conditions). This process includes both subjective elements (e.g. appraisal of the care recipient’s needs of care) as well as objective ones (e. g. measure of caregiving work); 3) mediators that could change the effects of the stressor on the caregiver’s well-being. These are classified as external (e.g. use of formal services) and internal (e.g. levels of global mastery, quality of the relationship between the caregiver and care recipient, and emotional support available to the caregiver). According to Lawton et al. [ 57 ], “mastery” could be defined as a positive view of one’s abilities and the related behavior during the caregiving process; 4) the caregiver’s secondary appraisal (i.e. the caregiver’s perception of being “overloaded”, that is the caregivers’ capability of determining their own feelings about caring); 5) outcomes, i.e. psychological caregiver’s well-being, measured by risk of depression.
According to this model, caregiving is a complex process in which two separate caregiver’s appraisals affect the relationship between the stressors and the outcomes. Hence, the outcomes of the caregiving experience are a subjective process, strictly related to the psychological, social, cultural, and economic characteristics of the subject. Furthermore, CSA model [ 55 ] highlights the association between the caregiver’s overload and consequent depression, and the poor quality of the relationship with the older care recipient, especially in case of cognitive and behavioural problems.
According to this conceptual framework, that is based on the experiences of caregivers of all ages, the authors discuss the findings of this systematic literature review in order to highlight differences related to the caregiving experience of young (adult) caregivers.
In order to answer the above mentioned research questions, the authors first carried out a methodological appraisal using the Mixed Methods Appraisal Tool (MMAT) [ 59 ], and then the contents of each selected article were analyzed thematically. As regards the methodological appraisal, MMAT is designed for the appraisal stage of systematic mixed studies reviews, i.e., reviews that include qualitative, quantitative and mixed methods studies, with the exclusion of non-empirical papers, such as review and theoretical papers. The MMAT includes criteria for appraising the methodological quality of five categories of studies: (a) qualitative studies, (b) randomized controlled trials, (c) non-randomized studies, (d) quantitative descriptive studies, and (e) mixed methods studies. For each study category, MMAT provides two groups of questions: 1) two screening questions aimed at exclude that the paper is not an empirical study and thus cannot be appraised using the MMAT; 2) five questions targeted to evaluate the methodological distinctive specific characteristics of the appraised study.
Each criterion is rated on a categorical scale: yes, no, and can’t tell. A quantitative appraisal score was calculated by applying the scoring system proposed by Pluye and colleagues [ 60 ]. According to them, the presence/absence of criteria (yes/no) may be scored 1 and 0, respectively. Thereafter, a ‘quality score’ can be calculated as a percentage: [(number of ‘yes’ responses divided by the number of ‘appropriate criteria’) × 100] [ 60 ].
In this systematic review, first and second authors independently appraised the methodological quality of each study; the results of each appraisal were compared and any disagreements were solved through intervention of the third author and discussion among the authors.
Finally, after calculating the above mentioned appraisal score for each article, we synthesize methodological quality results in three different categories:
Low score= < 35%
Medium score= from 36 to 70%
High score= from 71 to 100%
As regards the content analysis, in order to examine characteristics, conditions and needs of young caregivers of older relatives, the content of each article was analyzed adopting the constant comparison technique [ 61 ]. According to the latter, each study was read by each researcher independently and the contents are codified in order to highlight concepts that were raised from the study. Then, these codes were constantly compared with the findings of the other selected studies to the purpose of identifying common themes and conceptual categories. At the end of this analytical stage, the researchers compared the outcomes of their independent research in order to identify commonalities and to discuss any disagreement. The categories emerged from the studies were grouped according to their similarities into overarching themes, as shown in the section Results.
PubMed, Web of Science, Scopus, ProQuest - Psychology Database, CINAHL Complete - EBSCOHost were accessed by the first author (B. D’Amen) on January 27, 2019, for the sake of conducting a comprehensive search using a combination of Boolean operators and terms related with the topic. Given that the focus of this review is the relationship between young and young adult caregivers and older care recipients, two different groups of terms were selected for the identification of the articles. A pilot search was conducted in the selected databases, after which some minor changes were made to correct search words. In particular, for the caregiver category we used the terms: young caregivers , young carers , young adult caregivers , young adult carers . Considering the care recipient category, we used the following terms: older family members , older people , older adults and elderly .
These two groups of terms were combined in search strings constructed using the Boolean operator “AND”. Following this search strategy, a total of 3,947 articles were identified through database searching, 26 additional articles were added through bibliographic research and researchers’ knowledge. From the 3,973 articles, 1,481 duplicates were identified manually and then removed. Four different eligibility criteria were applied for the selection of the articles. The first one was the age range of young and young adult caregivers. As Joseph et al. [ 38 ] stated, there is no single definition of both young and young adult caregiver. In particular, as already mentioned in the Introduction, the analysis of the literature on young and young adult caregivers reveals that there is quite a bit of variation in the definition of the age range of these categories of individuals. For example, Aldridge et al. [ 28 ] defined young caregivers as children, adolescents and teenagers under 18 years, while Beach [ 29 ] defined them as young people aged 14 to 18 years. Later, Fruhauf et al. [ 26 ] defined people aged 7 to 29 as young caregivers. The same happened for the definition of young adults. Dellmann-Jenkins et al. [ 25 ] have defined subjects aged 18 to 40 years as young adult caregivers, whilst Becker et al. [ 19 ] included in this category those aged 16 to 24.
Given these differences concerning the age brackets, the authors selected a wide age range, up to 40 years, in order to be as much inclusive as possible. Another eligibility criterion regarded the age of care recipients, set at 60 years onwards. Although there are commonly used definitions of old age (i.e. 65 years old), there is no general agreement on the age at which a person becomes old. Given this lack of a standard numerical criterion, in this literature review we adopted the cutoff point of 60 years to refer to the older population, according to the United Nations [ 62 ]. Moreover, the selected articles had to be focused on real life cases of caregiving, which means that, accordingly, studies merely focused on perceptions or beliefs about caregiving were excluded. Finally, this systematic literature review included articles written in English. These eligibility criteria were applied for the screening of the 2,492 studies. Thereafter, 2,192 articles were excluded through the analysis of both title and abstract and 300 full articles were assessed for eligibility. At the end of this selection process, the total number of articles included in the analysis was 10 (Fig. 1 ).
The PRISMA flow chart for reporting the study screening process
The three authors carried out the selection process independently: the first author reviewed 2,101 articles, the second author 250 and the third author 141 articles. The results of this selection process were checked by the authors independently. In particular, the screening process carried out by an author, say the first, was checked by one of the other two in order to verify the accuracy of the selection process described in the PRISMA chart [ 63 ]. Applying the eligibility criteria, each author ended up with the same results obtained by the colleagues.
This review includes 10 studies and their main methodological and content characteristics are described in the following section.
Concerning the selected studies, six are qualitative, one quantitative and three follow mixed methods. Moreover, three studies adopt a comparative approach. In particular, Dellmann-Jenkins et al. [ 25 ] compared adult children and grandchildren as family caregivers; Dellmann-Jenkins et al. [ 40 ] explored differences between young adults who were primary caregivers to impaired older relatives and young adults who had yet to take on caregiver roles; Fruhauf et al. [ 26 ] analysed caregivers according to age.
Table 1 provides an overview of the main characteristics of the studies: data were extracted from each study by the three authors and the results were collected and classified by the first author.
The selected studies cover a time ranging from the late nineties to 2013. The sample size ranges from a minimum of six to a maximum of 80 subjects; three articles included in the sample even young caregivers’ parents [ 27 , 41 , 42 ], whilst the others were focused only on young caregivers. Concerning the characteristics of caregivers, the articles provide evidences on 255 young individuals, 190 females and 65 males. The age ranges from 7 to 40 years. The selected articles considered different types of caregiving, categorized on the basis of the amount of assistance provided and the related burden. Three studies [ 25 , 40 , 64 ] were focused on primary caregivers [ 4 , 6 ], four [ 27 , 41 , 42 , 65 ] on auxiliary ones [ 9 ], and three articles [ 5 , 26 , 29 ] included different types of caregivers, with a prevalence of auxiliary ones. Out of a total of 255 caregivers included in the selected studies, 53% were primary caregivers, 15% secondary [ 8 ], 3% tertiary and 29% auxiliary [ 26 ].
On the other side, the number of care recipients was not always specified, so it is not possible to quantify the cases of multi-caregiving. The age of the cared-for older people ranges from 60 to 96 years and the sex was specified only in three articles [ 27 , 65 ], whilst in the other studies this was not reported, or can be partly deduced from the relationship between caregiver and care recipient. Concerning the type of pathology/health issues, two articles [ 5 , 25 ] did not provide information, whilst two more [ 29 , 41 ] were focused on care recipients with Alzheimer’s disease or dementia. The remaining studies concerned cared-for older people having various pathologies, cognitive or physical limitations.
As previously written, the methodological appraisal was carried out through the MMAT, the critical appraisal tool developed by Hong and colleagues [ 59 ].
According to the appraisal process described in the section methods, the results related to the methodological quality of the selected articles are summarized in the table below (Table 2 ).
Considering the score system, almost all selected articles had a high methodological quality, except for a qualitative study [ 65 ] that got a medium score. The main critical aspect of quantitative and mixed method studies concerned the sample size, considered too small to be representative of the target population. The limited number of individuals involved in these studies was justified by the authors of the articles with the difficulty of reaching young caregivers, due to the lack of awareness and knowledge around this issue. In their opinion, therefore, the small sample size should be considered as a limitation concerning the target population rather than a weakness of the research studies design in itself.
As regards the qualitative studies, the structure of the interviews was not always explained, and in the medium score article the description of the coding and analytical process was not so accurate, so it was not possible to understand the bias that could come from researcher beliefs.
The review highlighted four major themes: aspects of the caregiving relationship, effects of caring, coping strategies and recommendations for services, policy and research. Each theme has been organized in sub-themes that are dealth with in depth hereunder.
Motivations.
The motivations pushing a young person to take on the care of an older relative are multiple and often interconnected, e.g. affection and bond with the older person [ 5 , 25 ] and the will to avoid his/her institutionalization (e.g. in nursing homes) [ 25 , 40 ]. In some cases, contextual/familiar conditions, including the lack of availability of assistance from more adult relatives [ 25 , 40 ] or being childless [ 25 , 40 ], can be drivers of youth caregiving. Considering the CSA model [ 55 ] adopted as conceptual framework of this review, these findings confirm the relevance of the personal motivations and of the subjective appraisal in the caregiving relationship also for the youngest. However, given that these motivations could be often multiple, in the case of young caregivers it is important to adopt a wider definition of the first and the second factors, that in the above mentioned model are related to the “variables of care recipients’ needs (or primary stressor)” and to the “primary appraisal”, by considering the role of external factors, such as the contextual/familiar conditions, that in some cases might have a role in the caregiving relationship and its effects for the youngest. Usually, the quality of the relationship with parents is not an aspect influencing the willingness to provide care, but young people often help simply because there is a practical need for assistance [ 41 ]. However, in the case of primary caregivers, there are differences related to their roles: grandchildren seem to be driven more by feelings of attachment, while children have feelings of filial obligation towards the cared-for person [ 25 ].
Caregiving is perceived as an experience for returning the care that older people had provided in the past to the youngsters [ 5 ]. In the case of auxiliary caregivers, those most involved in caring tasks were individuals with higher levels of cohesion and lower levels of conflict in intergenerational relationships, coupled with a positive history of interactions with their grandparents [ 65 ]. These findings suggest us to deepen the CSA model [ 55 ], by considering the quality of the relationship not only as “mediators” of the caregiving relationship, that might mitigate the impact of the stress, but also as a “driver” that contributes to foster the caregiving relationship between young or young adult caregivers and older patients.
Caregiving has also been defined as a case of role reversal, in which young caregivers find themselves caring instead of receiving care [ 5 ]. As for the perception of the subjects involved in the caregiving relationship, one study [ 27 ] highlighted how grandchildren recognize themselves as auxiliary caregivers, while mothers are perceived as engaged in more caregiving activities than fathers. The care recipients are accepted and understood by young caregivers because of their illness, though these perceptions are mediated by the information given by parents. Accordingly with the CSA model [ 55 ], in particular with the process of appraisal, these findings confirm the relevance of the subjective perceptions of the caregiving role experienced by the youngest as factors involved in determining the sense of the overall caregiving relationship. Thus, the latter is not a simple response to specific care needs, but includes subjective meanings that could play a significant role in providing care and in determining its effects.
The analysis of selected articles showed that young caregivers carry out a wide range of activities, ranging from helping the cared-for older people in performing ADLs [ 41 , 65 ] and instrumental activities of daily living (IADLs) [ 41 ], to companionship, assistance for shopping, personal hygiene, meal preparation [ 40 ] and emotional support [ 65 ]. Sometimes caregiving activities are based on parental directives [ 26 , 27 ], although in some other cases the youngest take the initiative to carry out certain activities that can be particularly appreciated by the care recipient, such as shaving of the legs [ 26 , 27 ]. Even though the variety of caregiving tasks is dependent on both grandchildren’s developmental/emotional condition and care recipients’ caring needs [ 27 ], young people provide more care when they are more attached to grandparents and when their parents experience a greater care burden [ 41 ].
Negative effects.
The effects of caregiving are analyzed from the perspective of the current conditions experienced by young caregivers and in some cases, too, from the perspective of the implications for future life [ 5 , 40 , 41 , 42 ]. With regard to negative aspects stemming from the caregiving relationship, compared to the contingent living conditions, young people report feelings of anxiety, depression [ 26 ], anger and/or resentment [ 27 ], sadness mingled with compassion [ 27 ], and a sense of guilt, deriving from the fact that one often wanted to do something else [ 26 ].
Many young caregivers declare that they feel fear, a feeling often resulting from health conditions of the care recipient [ 5 , 25 , 27 , 64 ] and the feeling that these may worsen. These feelings can be accompanied by frustration, generated in young people by tasks that go beyond their skills [ 26 ]. Youngsters usually state that, although they know the technical terms related to the disease of the care recipient, they find it difficult to understand them [ 27 ]. Moreover, they do not understand what they must do in a dangerous situation [ 26 ] and they complained of a lack of information on the care recipient’s health condition [ 27 ]. Furthermore, young caregivers do not know the level of knowledge and skills required to provide care properly [ 41 ]. Accordingly with the CSA model [ 55 ], these findings confirm the relevance of the “primary appraisal”, focused on the care recipient’s health conditions, and the sense of “mastery”, considered as internal resources and “mediator” of the caregiving effects, in determining negative outcomes of the caregiving relationship. Frustration can be often caused by a decrease in free time to dedicate both to themselves [ 40 ] and to other relationships [ 5 , 25 , 42 ], including those with their own peers [ 42 ] and with other family members [ 25 ], which could make it difficult to establish intimate relationships [ 25 , 64 ]. Concerning young adult working caregivers, even the effects of caregiving in the professional sphere are manifested in feelings of frustration, whose origin is the lower possibility of career advancement, mobility [ 5 , 25 , 40 , 64 ], and greater absenteeism from work [ 25 , 40 ].
The negative effects of caregiving also affect self-image, with the perception of being different from other friends and relatives [ 5 ], and the feeling of experiencing a premature role reversal [ 5 , 64 ]. In addition, caregiving involves a greater difficulty in differentiating from the family of origin [ 64 ], an important issue for the construction of individual autonomy whose negative impact on the subsequent marital quality and career choices has been documented [ 66 , 67 ]. Caregiving has also particularly negative effects on the future life of young caregivers, leading them to develop negative views and feelings about ageing [ 42 ]. Particularly important is the role of fathers, in the construction of a sense of social responsibility: when the father provides care, young caregivers might develop less social responsibility and a more negative attitude towards assistance [ 41 ].
As for the positive aspects associated with care, young caregivers experience an improvement in their self-image, with a greater awareness of their abilities [ 5 , 25 , 26 , 40 , 64 , 65 ], feelings of gratification and satisfaction [ 42 , 65 ], and the acquisition of new skills [ 26 , 42 ]. Particularly positive effects on the relational context in which young caregivers experience benefits have been observed not only in the relationship with older people but also with other individuals [ 5 , 25 , 29 , 40 , 42 , 64 ]. Moreover, one study [ 29 ] underlines that providing assistance can have a positive impact on family relationships, especially with siblings, and greater intimacy within the mother/adolescent relationship [ 40 ].
The caregiving relationship can be at the origin of new relational possibilities: some young caregivers, in fact, to cope with the lack of time and not to deprive themselves of meaningful relationships, include friends in their daily care tasks/routines [ 5 , 26 ]. In these cases, caregiving is transformed from a factor of social isolation to an opportunity for integration by sharing personal life challenges with peers. Particularly positive effects concern the improvement of some behavioural characteristics, since caregiving can make young people wiser and patient [ 5 ]. Providing assistance can positively predispose them to provide care in the future as well, to their partner or children [ 5 , 41 ], and give them a more positive representation of long-term care for older parents [ 41 ] and greater sensitivity to ageing issues [ 5 ]. These findings suggest that positive effects of caregiving could be related to an active role of the youngest in managing the outcomes of the caregiving process, so the sense of “mastery” stated by the CSA model [ 55 ] is confirmed as an important mediator in reducing distress and in fostering the caregivers’ well-being.
To mitigate the negative effects of caregiving, young caregivers could develop different strategies: the use of positive memories with care recipients [ 26 , 42 ], the minimization of their health conditions [ 26 ], positive self-evaluation of one’s role as caregiver, and humour [ 42 ]. The stress from the caregiving relationship is also managed through the adoption of particular habits, such as, for example, sports and religious activities [ 5 , 26 , 42 ], and by receiving support from friends [ 5 ].
Most young caregivers receive informal support from family, friends, neighbors and the church. Formal support is less frequent and concerns health services and participation in mutual help groups. Particular barriers for the use of formal services are represented by the lack of both economic resources and information regarding available services [ 25 ].
Concerning the needs expressed by young caregivers, the possibility of receiving emotional support from other caregivers of the same age, low-cost health services for older people, and their transport to facilitate daily activities [ 25 , 40 ], are particularly relevant. In particular, according to the CSA model [ 55 ], these findings confirm the relevance of emotional support as a mediator factor able to reduce the negative outcomes of the caregiving relationship. Only one among the selected papers [ 26 ] compared young grandchildren (aged 7–17) and adult children (aged 21–29) by focusing on caregiving outcomes and caregivers’ needs. This study suggests that younger grandchildren experienced more frustration, anger, guilt, anxiety while developing more behavioral (i.e. avoidance, outside activities) and cognitive coping strategies (i.e. focusing on positive memories, denial, humor) than adult grandchildren. Moreover, the different developmental stage that young and adult grandchildren were living influenced their need, e.g. young grandchildren needed help for understanding what the care recipient’s health condition may entail and adult grandchildren needed more intimacy, as they were in a phase of life in which it is important to build up intimate romantic relationships.
The analysis of the selected articles highlighted implications for research and support services, in particular specific service delivery recommendations. Concerning formal services, it would be desirable to promote the creation of caregiver support groups for the whole family [ 26 ]; this support should be established within the educational system and facilitated by school counsellors [ 42 ] or offered through existing ageing social service providers [ 27 ]. To facilitate the use of services, it would be useful to carry out a need assessment, in order to propose targeted and effective interventions, and to promote a greater knowledge of any support groups present on the territory, especially if they are free [ 25 ].
These actions should help the management of different types of stressful factors, including: lack of time to develop relationships, difficulties in managing married life, managing both early career difficulties and psychological discomforts arising from premature role reversal [ 25 ]. Caregiver support groups and training workshops specifically designed for multigenerational caregiving families are needed. The latter, for example, would assist parents in explaining grandparents’ physical/cognitive decline to their children [ 27 ]. Although young caregivers need to be recognized, identified and supported as a distinct group of vulnerable children [ 26 ], information on the impact of caregiving should also be disseminated in the clergy, which appears to be a particularly significant source of spiritual support [ 25 ]. Furthermore, workplaces should also have specific counsellor services and flexible work opportunities to support young caregivers in building their professional lives and to better reconcile work and care responsibilities [ 25 ].
The studies included in this review analysed the experience of young and young adult family caregivers of older relatives, who represent an under-investigated category of family caregivers [ 21 ].
The mainly qualitative approach and research designs of the reviewed studies focused on small collectives give evidence of the scholars’ need for drawing the young family caregivers’ profile and the caregiving dynamics they experience. Given the different role of caregivers included in the selected studies (i.e. primary, secondary, auxiliary and tertiary), this literature review allows us to capture the experience of young and young adults caregivers of older people from different perspectives. Moreover, the reviewed studies have explored the practical aspects of the caregiving relationship (tasks performed, motivations, meaning, coping strategies), and the amount of care provided, thereby confirming the classification of young and young adult caregivers into primary [ 19 , 22 , 23 ] and secondary/auxiliary [ 20 , 21 ].
The comparative approach adopted by three studies [ 25 , 26 , 40 ] allowed us to better understand the experiences and the different effects of caregiving connected to the role played by young and young adult caregivers in the family environment (i.e. adult children vs grandchildren or caregivers vs non-caregivers), and to their age [ 26 ].
In accordance with the literature [ 16 , 17 ], the selected studies showed that among young family caregivers, females are more involved than males in caregiving activities.
As far as the impact of caregiving is concerned, this review increases the knowledge about the impact of caregiving on young caregivers’ psychological health [ 45 , 47 ] and social life [ 28 , 49 , 50 ]. Accordingly with the literature [ 68 ], this review showed that caregiving activities can have, even simultaneously, a positive and a negative impact on the youngsters’ different life realms. For example, some studies highlighted an improvement in self-image [ 5 , 25 , 26 , 40 , 64 , 65 ], and one of these [ 5 ] even reported a worsening on it. Some studies underlined negative effects on social life in and outside the family environment [5; 25, 64, 42], while others recorded positive ones [ 5 , 26 ].
Moreover, this review allowed us to raise the specificities of caregiving relationship between young people and older relatives in comparison to the caregiving experience of adult caregivers, as conceptualized in the CSA theoretical framework [ 55 ]. In this regard, the results suggest that the CSA model [ 55 ] is just partly applicable to young caregivers for reasons that are mainly due to the young age of the caregivers. In particular, according to this model indeed, the subjective appraisal of the elder’s need for care determines the amount of care which the caregiver thinks it is to provide, so assuming that caregivers are able to appraise the care recipient’s disability and the more suitable response to his/her needs. Conversely, young caregivers may not be able to make a realistic appraisal of the care needs, due to their young age and the dearth of experience and knowledge. Moreover, the CSA model [ 55 ] considers the “overload” a secondary appraisal, so assuming that caregivers are able to identify their level of overload by assessing their own situation and their feelings about caring. This perspective seems to be not appropriate for describing the experience of young caregivers and their level of self-awareness. Furthermore, given that this review highlights that the young caregivers provide more care when their parents experience greater care burden [ 41 ], the role of the parent’s burden in providing care should be taken into account for determining the hours of informal care (“primary appraisal” in the CSA model [ 55 ]) and the young caregivers overload (“secondary appraisal” in the CSA model [ 55 ]). Conversely, a common point of CSA model [ 55 ], which considers adult family caregivers, and the results of this review, focused on young family caregivers, lies in the quality of the relationship between the adult family carer as an element which can affect the perception of the caregiving experience and so the caregivers’ well-being.
The youngsters, even knowing the terms related to the cared-for illness and responding to the parents’ requests for help, often do not fully understand pathology risks [ 26 ]. This exposes them to greater feelings of inadequacy, fear, and frustration [ 26 ] than adult caregivers on whom they often rely for information acquisition [ 27 ], thereby confirming the findings of Järkestig-Berggren et al. [ 46 ]. These findings suggest to improve the Yates model [ 55 ] by highlighting the relevance of this mismatch between the care demand and the young caregivers’ knowledge and emotional resources as factors that could play an important role in determining the caregiving outcomes. Moreover, given that the awareness of this mismatch could encourage adult family members to reshape the requests to young caregivers, this could be an important factor able to reduce the young caregivers burden. Despite these theoretical consequences, this mismatch should be taken into account by professionals responsible for health and social care services and policy makers, in order to provide training interventions and support policies for young and adult caregivers. A relevant aspect that has to be added in the CSA model [ 55 ] is the relevance of supporting young caregivers in understanding the care recipient’s illness. This is related to a communication aspect that could be included in the set of factors stated by the CSA model [ 55 ] and directed at how caregivers appraise the needs for care (primary appraisal). Furthermore, as stated by the CSA model [ 55 ] and confirmed by Chappell et al. [ 69 ] the perceived social support, such as emotional support from family and friends, is strongly related to caregiver’s well-being and unrelated to the burden. Given that the emotional support is relevant also for young caregivers [ 25 , 40 ], providing interventions that address this aspect or specifically focused to develop skills to elicit desired emotional support from family and friends is an important aspect for improving caregivers’ quality of life even with caregiving burden in their lives.
Finally, in light of the insights on the role of the father caregiver in influencing children’s perception of caregiving experience and social responsibility [ 41 ], the relationship of the caregiver with other family members might provide an interesting reading key to identify those “family-embedded” factors that contribute to determine the effects of caregiving on young people in the present as well as in the future (e.g. the willingness to keep on providing care).
A key-point in research on young caregivers is the lack of a homogeneous definition of the age range for identifying a young caregiver and of a categorization of different sub-groups of caregivers according to their age. The latter might indeed help scholars capture how motivation to care, needs for help and coping strategies change in different phases of life.
Conscious of this general bias, the selected studies were not without specific weaknesses. The first limitation is the small sample size and the co-presence of individuals carrying out different caregiving activities. Thus, future studies should consider whether to include in samples youngsters playing the role of primary, or secondary or auxiliary caregivers, or whether to include all these categories, and how to control the confounding factors that each role entails (e.g. amount of care and caregiving activities).
Secondly, in the selected studies the illness of the care recipient was not sufficiently analysed as a factor influencing caregiving activities and relationships. Hence, particular attention in the design of future studies should be directed to the impact of different types of care recipient’s illness on the youngsters’ perception of the assistance provided. Given that research has shown specific difficulties to care for older people with dementia [ 70 ], it could be interesting to understand whether cognitive and physical impairment generate different feelings and coping strategies among young caregivers [ 26 ].
Another aspect that could be further investigated concerns the context of care i.e. the grandchildren-grandparents housing condition. Cohabiting with the care recipient, indeed, was not within the sample inclusion criteria of the majority of the reviewed studies, and only one article treats this topic [ 27 ]. Nevertheless, in light of the articles cross-reading, living in a multigenerational environment where there is a grandparent in need of care seems to be a driver for involving the youngest in the caregiving activities, especially if the grandparent(s) suffer from cognitive impairment, dementia, Alzheimer disease [ 41 ]. Thus, further studies that deepen the association between the context of care and the involvement of the young family members in the caregiving activities are welcome.
Moreover, the sex gap is worthy of further study to understand possible differences in reacting to adverse or difficult situations due to care between girls and boys. The supports available for and needed by young caregivers were still inadequately explored. Conversely, the analysis of available public support services allows us to understand to what extent welfare state measures are able to identify and help young family caregivers.
The reviewed studies included in the samples mostly white individuals. Recent literature states that belonging to black and minority communities can be a driver for being a young caregiver [ 47 ] and underlines the influence of cultural patterns on the construction of the meaning of care by young family caregivers [ 71 ]. Thus, it would be important to develop studies involving different minority groups, as well as different countries, since all selected studies have been carried out in the U.S.
One study [ 25 ] highlighted how the perception of care burden can change in accordance with the type of relationship and of emotional bond with the care recipient (e.g. children or grandchildren of the cared-for person). Thus, more studies on the influence of the relational bond on the young caregivers’ experience would be welcome. Moreover, research based on larger and longitudinal samples would allow us to analyze how the caregiving relationship evolves over the years and the effects that it might produce on young people even after the death of the care recipient. In this regard, it is interesting to highlight that none of the reviewed studies investigates the association between the duration of care and the effects of caregiving. This is an aspect which deserves more attention from future studies.
It would also be important to plan research studies able to investigate the cases in which the caregiver provides care to more than one person, including the support offered to primary caregivers [ 65 ]. Furthermore, in light of the contradictory findings concerning the caregiving outcomes on youngsters’ physical, psychological and social well-being, future studies should search for possible factors that can favor the predominance of negative or positive effects and the extent to which the latter can compensate the former.
Particular attention should also be paid to spread awareness and knowledge of this phenomenon among health and social service professionals, in order to facilitate the identification of young caregivers, offer them support, and make their recruitment by researchers easier. These actions should be taken into account for improving the young caregivers’ well-being and should be added to interventions focused on developing skills to elicit desired emotional support from family and friends, as argued by the CSA model proposed by Yates et al. [ 55 ] and Chappell [ 69 ]. An important topic for future interventions on young caregivers of older relatives will be to explore ways to help their self-identification as caregivers. Furthermore, future studies should consider the welfare and healthcare systems where the caring relationship took place, since this analysis could help us understand to what extent the reasons for caring are driven by exogenous and systemic factors (e.g. availability of services, tailored policies, informal care networks) or by personal ones (e.g. resilience, psychological sources).
The searches of the articles were limited to five databases (PubMed, Web of Science, Scopus, ProQuest - Psychology Database, CINAHL Complete - EBSCOHost) accessed by the first author over a specific period of time (January 2019). In order to be more inclusive, the authors added studies selected through a bibliographic research. Moreover, the terms and the Boolean operator applied might not be comprehensive: in particular, specific terms related to the subjects, such as “senior”, “grandparent”, “grandchildren”, “children”, and terms related to a specific pathology, were not included as search terms. Given that our search could not cover all the terms related to the main topic of this article, the results of this systematic review could be not exhaustive and, unknowingly and unintentionally, some papers might have been omitted. Another factor that contributed to the reduction of the included studies is the age ranges adopted for defining young (adult) caregivers and older care recipients. In particular, some studies did not exclusively concern the relationship between young (adult) caregivers and older care recipients and include caregivers older than 40 years or care recipients younger than 60 years. Finally, a further limitation concerns the absence of studies located in the USA, Canada, Europe and Australia among the selected manuscripts. In fact, although the interest of the social sciences for intergenerational relations was born in the USA at the end of the last century and it spread to Europe since the early 2000s, few studies have focused on caregiving relationships within the dyad young grandchild-grandparent (aged 60 and over) i.e. mainly between grandchildren and grandparents [ 72 , 73 , 74 , 75 , 76 ]. This represents a limit of this systematic literature review however not attributable to the authors who explored valuable and rich databases.
The phenomenon of young and young adult caregivers of older family members in need of care is still largely uncovered. Further reflections for finding “shared definitions” are needed, as well as quantitatively large sample and mixed-methods studies for deepening the different aspects of caregiving relationships that have been studied so far. In fact, as stated by the CSA model [ 55 ], caregiving is itself a complex experience whose effects and meanings go beyond the mere dyadic relationship between young caregiver and old care recipient, including the whole family. Considering the CSA model [ 55 ], assumed as theoretical model for framed the findings of this review, this article adds some specific factors related to the young age of the caregivers, such as the role of the parents’ burden in determining the young caregivers’ load and the difficulties presented by young caregivers in understanding the care recipient’s illness. These evidences could improve the CSA model [ 55 ] in order to better analyze the young caregivers’ well-being.
The data are available in the articles included in the review.
22 march 2022.
A Correction to this paper has been published: https://doi.org/10.1186/s12877-022-02804-2
Activities of Daily Living
Caregiving stress appraisal (model)
Instrumental Activities of Daily Living
Mixed Methods Appraisal Tool
Preferred Reporting Items for Systematic Reviews and Meta-Analysis
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The authors would like to thank researchers, professionals and organisations who contributed to the ME-WE project. In particular, authors thank the partner organisations of the ME-WE project (www.me-we.eu), namely: Linnaeus University (Sweden), coordinator; Eurocarers (Belgium); University of Sussex (United Kingdom); Carers Trust (United Kingdom); Kalaidos University of Applied Sciences (Switzerland); Netherlands Institute for Social Research (Netherlands); Vilans (Netherlands); National Institute of Health and Science on Ageing (IRCCS INRCA) (Italy); Anziani e Non Solo (Italy); University of Ljubljana (Slovenia).
The study was conducted in the framework of the ME-WE project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 754702. This work was also partially supported by Ricerca Corrente funding from Italian Ministry of Health to IRCCS INRCA. This funding body did not play any role in designing the study nor in data collection, analysis and interpretation, nor in writing this paper.
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D’Amen, B., Socci, M. & Santini, S. Intergenerational caring: a systematic literature review on young and young adult caregivers of older people. BMC Geriatr 21 , 105 (2021). https://doi.org/10.1186/s12877-020-01976-z
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Background: More and more adults in their fifties and sixties are confronted with the need to support their ageing parents. Although many aspects of filial caregiving have been researched, a well-documented and comprehensive overview of the caregiving experience is lacking.
Aim: This study aims for a better understanding of the caregiving experience of adult children by generating an overview of main themes in international research.
Method: A literature review of qualitative studies, focusing on the experiences of adult children caring for their ageing parents, was performed. The electronic EBSCO databases Academic Search Premier, CINAHL and PsycINFO, and Google Scholar were searched to identify relevant qualitative studies published between 2000 and 2017. The 'SPIDER' eligibility criteria directed the approach. The quality of studies included was screened with the assessment sheet designed by Hawker and colleagues. The experiences reported were analysed and themes were synthesized.
Ethical consideration: Ethical requirements were respected in every phase of the research process.
Findings: Nineteen qualitative studies met the inclusion criteria. The quality of the relationship with the parent appears to be an important determinant of the children's caregiving experience. Within this context, three themes were found: caregiving as an emotional rollercoaster, a normatively demanding experience and an opportunity for personal development.
Discussion: Children caring for their ageing parents have to deal with a wide range of contradicting and conflicting norms and values. Implications for healthcare professionals and future research have been discussed.
Conclusion: Caring for ageing parents is a continuous quest for giving the best possible care and living up to one's personal values, within the context of the parent's declining health. Professionals who support filial caregivers should address not only practical responsibilities but also the normative questions and moral considerations caregivers are dealing with.
Keywords: Ageing parents; filial caregiving experience; review.
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Leonarda g. m. bremmers.
Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
Eleonora s. gräler, carin a. uyl-de groot, leona hakkaart-van roijen, associated data.
All relevant data are within the paper and its Supporting information files.
We conducted a systematic literature review to identify and review the concepts and questionnaires used to assess the impact of caregiving on caregivers for adults with a mental disorder. With our study, we aimed to provide an overview and categorize the conceptualization and operationalization of the impact of caregiving, with special attention for the complexity and multi-conceptualization of concepts. Embase, Medline, PsycInfo, Web of Science Core Collection, Cochrane Central Register of Trials, Cinahl Plus, Econlit and Google Scholar were systematically searched for articles from 1 January 2004 to 31 December 2019. Eligible articles were peer-reviewed studies that assessed the impact of caregiving for informal caregivers of adults with a reported mental disorder by means of a questionnaire. The complete study protocol can be found on PROSPERO (CRD42020157300). A total of 144 questionnaires were identified that assessed the impact of caregiving. Based on similarities in meaning, concepts were classified into 15 concept clusters. The most frequently assessed concept clusters were mental health, caregiving burden, other caregiving consequences, family impact, and overall health-related outcomes. The use of concept clusters differed per diagnosis group, with diagnoses, such as schizophrenia, using a wide range of caregiving impact concepts and other diagnoses, such as personality disorders, only using a limited range of concepts. This is the first study that identified and reviewed the concepts and questionnaires that are used to assess the impact of caregiving. Caregiving is researched from a broad array of perspectives, with the identification of a variety of concepts and dimensions and use of non-specific questionnaires. Despite increasing interest in this field of research, a high degree of variability remains abundant with limited consensus. This can partially be accredited to differences in the naming of concepts. Ultimately, this review can serve as a reference to researchers who wish to assess the impact of caregiving and require further insight into concepts and their respective questionnaires.
The mid-twentieth century saw a rise in the international consensus on the need for decentralized psychiatric care and new policy strategies for mental health patients. This consensus resulted in a radical deinstitutionalization movement across the USA, England, Continental Europe, and Scandinavia, with other countries later following suit [ 1 ]. The movement was characterized by a shift of care from the institutions to community-based services, with a strong focus on the reintegration and rehabilitation of patients [ 1 , 2 ]. However, fragmented community-based services often fail to address patients’ complex health needs [ 2 ], as suggested by the high prevalence of incarceration, homelessness, loneliness, victimization, and poor physical health outcomes of patients [ 2 – 6 ]. Consequently, patients are increasingly reliant on the care and support provided by their loved ones, hereinafter referred to as informal care [ 7 , 8 ]. The health care sector relies heavily on informal care, as it complements and substitutes services provided by formal care providers [ 9 – 12 ].
The provision of informal care is often characterized as a significant source of distress for the loved ones of patients and can have a detrimental impact on their daily lives and wellbeing [ 13 ]. Hence, the impact of caregiving should be considered in healthcare practice and policy [ 14 , 15 ]. Perspectives on the impact of caregiving and mental illness have evolved with the introduction of deinstitutionalization [ 16 , 17 ]. Before the turn of the century, caregiver research centered on two concepts, the negative impact of the patient on the caregiver (i.e., caregiving burden) and the negative impact of the caregiver on the patient (i.e., expressed emotion). This research was largely concentrated on caring for patients with schizophrenia; however, burden was also assessed for caregivers of patients with mood disorders. Over the decades, additional concepts have been developed to assess the rewarding aspects of caregiving, such as caregiving reward [ 18 ]. However, Harvey et al. found that caregiver outcomes reported in peer-reviewed articles are still restricted in scope and primarily focus on wellbeing, the caregiving experience, and need for professional support [ 19 ].
Despite the impact of caregiving being studied since the start of deinstitutionalization [ 18 ], the operationalization and conceptualization of these concepts has received limited academic attention [ 20 ]. There are a limited number of conceptual frameworks grounded in psychological and social theories for this caregiving population, with the existing frameworks primarily focused on familial responses to mental disorders [ 21 ]. Consequently, researchers report an inconsistent use of theoretical definitions and operationalization across the same concepts [ 21 , 22 ]. Ergo, the conceptualization and operationalization of the impact of caregiving may vary greatly between studies. To the best of our knowledge, no systematic literature review has yet investigated the conceptualization and operationalization of the impact of caregiving in this caregiver population. A literature review conducted by Schene, Tessler, and Gamache compiled caregiving questionnaires and their respective domains; however, this was limited to one concept, namely caregiving burden [ 23 ].
A complete overview of the conceptualization and operationalization of the impact of caregiving could improve the understanding of these concepts [ 24 ] and aid in determining how they are used in scientific research. By systematically identifying the similarities and discrepancies of concepts and their respective dimensions across questionnaires, an in-depth insight can be gained into the perspectives that are used in caregiver research. These insights may help researchers to select the appropriate concepts and questionnaires and improve comparability of results across studies. Therefore, we conducted a systematic literature review to identify and review the concepts and questionnaires that are used to assess the impact of caregiving on caregivers for adult patients with mental disorders in OECD countries. With our study, we aimed to provide an overview and categorize the conceptualization and operationalization of the impact of caregiving, with special attention for the complexity and multi-conceptualization of concepts.
This systematic literature review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Refer to S1 Table for the completed PRISMA checklist [ 25 ]. The complete study protocol is registered on PROSPERO (CRD42020157300).
The search strategy was constructed a priori with an information specialist using terms related to “informal caregivers,” “mental disorders,” and “questionnaires” [ 26 ]. On December 6, 2019, Embase, Medline, PsycInfo, Web of Science Core Collection, Cochrane Central Register of Trials, Cinahl Plus, Econlit, and Google Scholar were searched. The search was restricted to include articles published from January 1, 2004, onwards. For the complete search strategy refer to S1 File .
We included quantitative and mixed-method studies published in scientific journals, which reported original data and assessed the impact of caregiving by means of a questionnaire. The informal caregivers had to provide care and support to adults with a reported mental disorder. Relevant mental disorders were identified with the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders [ 27 ]. Neurocognitive disorders and delirium were not considered, because the nature of these disorders and conditions is not comparable to other mental disorders [ 28 ] and thus has a significant impact on the reported caregiving experience [ 29 , 30 ]. Additionally, care recipients with a physical comorbidity were excluded because they have different care needs and their caregivers are at a higher risk for adverse outcomes and events [ 31 – 34 ]. Care recipients and caregivers had to be at least 18 years of age. Studies needed to be conducted in countries within the Organization for Economic Co-operation and Development (OECD) region [ 35 ] to avoid cultural specificity that could be caused by differing cultural norms and perceptions [ 19 ]. Lastly, the review was restricted to empirical and peer-reviewed studies that were published in English.
Prior to the formal screening of hits, the selection criteria were piloted and adjusted amongst the research team (LB, LH, IF) using a randomly selected sample of hits (n = 50). A four-stage screening process was implemented using the selection criteria. First, all search hits were imported into Endnote X6, and duplicates were removed using a reproducible de-duplication method [ 36 ]. Second, title and abstract screening were conducted by two independent reviewers (LB, EG). Any disagreements concerning title and abstract eligibility were discussed with the other members of the research team (IF, LH). Third, the full-text articles were retrieved if the review criteria were met or if there was insufficient information in the abstract to assess eligibility. Fourth, full texts were independently screened by two reviewers (LB, IF) and those that met the inclusion criteria were included [ 25 ]. Any disagreements concerning article eligibility were discussed with a third reviewer from the research team (LH).
Data were extracted by the primary researcher (LB) using a data extraction matrix. Relevant data included: country, study design, disorder of care recipient, questionnaire name, questionnaire author, concept studied, dimensions, operationalization of each dimension, and the original target population of the questionnaire. Given that some of the questionnaire data were not reported in the articles, it was sometimes necessary to refer to the questionnaires’ reported source article(s).
All concepts were clustered according to the common phenomenon that they assessed. These clusters formed concept clusters which were then titled using the higher-order concept that they assessed. The concept clusters were generated by LB and then reviewed by the other co-authors (IF, CU and LH).
Meta summaries [ 37 ] were generated for each concept cluster and reported the dimensions of each questionnaire, including their operationalization. If the operationalization of the dimensions could not be found, then this was reported in the meta-summary as “not reported” (NR). For each meta summary, dimensions were grouped by theme. An overview and explanation of all relevant terms can be found in Table 1 .
Term | Explanation |
---|---|
A collection of constructs based on the same abstract ideas and common phenomenon (e.g., all mental health conditions were classified under the concept cluster “mental health”) | |
Constructs that assess the impact of caregiving | |
The internal attributes of a concept | |
The definition of dimensions into measurable factors (i.e., questions) | |
Overarching ideas across dimensions |
To investigate trends, the extracted data were grouped by concept clusters and graphed against the number of times it was assessed from 2004–2019. Additionally, the assessment of concept clusters was determined per diagnosis group.
The systematic search yielded a total of 24,314 reference with 9,772 duplicates. Title and abstract screening resulted in the exclusion of 13,659 papers. A total of 883 full-text articles were reviewed. The main reasons for full-text exclusion were, as follows: did not assess the impact of caregiving (n = 236), performed in non-OECD country (n = 98) or was not a peer-reviewed article (n = 91). A total of 173 papers fulfilled the eligibility criteria and were included ( Fig 1 ).
All articles reported observational study designs, including cross-sectional (n = 131, 75%), case-control (n = 21, 12%), prospective cohort study designs (n = 19, 11%), and case-control and cross-sectional (n = 3, 2%). These studies were conducted in OECD countries across Asia, Australia, Europe, North America, and South America, with a majority of the studies being conducted in the United States of America (n = 33, 19%), the United Kingdom (n = 30, 17%), and Spain (n = 26, 15%). A variety of mental disorders were studied; however, the most common disorders were schizophrenia and other primary psychotic disorders (n = 72, 41%), depressive disorders (n = 19, 11%) and eating disorders (n = 19, 11%). Forty-seven of the articles (27%) did not specify the mental disorder that was studied. For a comprehensive list of study characteristics refer to S2 Table .
A total of 144 questionnaires were identified that assessed the impact of caregiving. Impact of caregiving concepts were categorized into 15 concept clusters, namely caregiving burden , caregiving needs , caregiver service use , characteristics of caregivers , conceptions of mental illness , family impact , mental health , overall caregiving situation , physical health , overall health , quality of life , satisfaction , social impact , work impact , and other caregiving consequences , ( Table 2 ). Three types of questionnaires were identified based on the original target population, namely “specific mental disorder” (n = 32; 22%) “non-specified mental disorder” (n = 46; 32%) and “other” (n = 67; 46%). The specific mental disorders were autism spectrum disorder (n = 3), eating disorders (n = 3), mood disorders (n = 4), personality disorders (n = 4), and primary psychotic disorders (n = 15), and primary psychotic disorders and personality disorders (n = 2). A total of 20 non-validated questionnaires (13%) were identified that were specifically developed for the purpose of those studies.
Concept cluster | Concept | Questionnaire (ref.) | Questionnaire type | Specific mental disorder |
---|---|---|---|---|
Caregiving burden | Caregiver Burden Inventory [ ] | Other | - | |
Caregiver Strain Questionnaire [ ] | Non-specified mental disorder | - | ||
Eating Disorder Impact Scale [ ] | Specific mental disorder | Eating disorders | ||
Perceived Burden Scale [ ] | Non-specified mental disorder | - | ||
Self-developed visual analogue scale by Heru & Ryan [ ] | Specific mental disorder | Mood disorders | ||
Zarit Burden Interview [ – ] | Other | - | ||
Caregiver strain | Caregiver Strain Index [ ] | Other | - | |
Caregiver Strain Questionnaire- Short Form 7 [ ] | Non-specified mental disorder | - | ||
Strain Scale [ ] | Other | - | ||
Objective burden | Care-ED [ ] | Specific mental disorder | Eating disorders | |
Self-developed questionnaire by Hielscher et al. [ ] | Non-specified mental disorder | - | ||
Self-perceived pressure | Self-Perceived Pressure by Informal Care Scale [ ] | Other | - | |
Subjective burden | 1992–1993 Family Impact Study [ ] | Non-specified mental disorder | - | |
Burden Assessment Schedule [ ] | Specific mental disorder | Primary psychotic disorders | ||
Caregiver Burden Scale [ ] | Other | - | ||
Schizophrenia Caregiver Questionnaire [ ] | Specific mental disorder | Primary psychotic disorders | ||
Family burden | Burden Assessment Scale [ ] | Non-specified mental disorder | - | |
Entrevista de Carga Familiar Objetiva y Subjetiva/Objective and Subjective Family Burden Interview [ , ] | Specific mental disorder | Primary psychotic disorders | ||
Family Burden and Care Participation Instrument [ ] | Non-specified mental disorder | - | ||
Family Burden Interview Schedule [ ] | Non-specified mental disorder | - | ||
Family Burden Questionnaire [ ] | Non-specified mental disorder | - | ||
Family Burden Questionnaire [ ] | Non-specified mental disorder | - | ||
Family Burden Scale [ ] | Specific mental disorder | Primary psychotic disorders | ||
Interview for Measuring the Burden on the Family [ ] | Non-specified mental disorder | - | ||
Interview Schedule for Families and Relatives of Severely Mentally Ill Persons [ ] | Non-specified mental disorder | - | ||
Perceived Family Burden Scale [ ] | Non-specified mental disorder | - | ||
Self-developed questionnaire Goodman et al. [ ] | Specific mental disorder | Personality disorders | ||
Family burden / Expressed emotion | Family Problems Questionnaire [ ] | Non-specified mental disorder | - | |
Caregiver needs | Caregivers’ Needs Assessment for Schizophrenia [ ] | Specific mental disorder | Primary psychotic disorders | |
Relative’s Cardinal Needs Schedule [ ] | Specific mental disorder | Primary psychotic disorders | ||
Caregiver need for assertive community treatment | Self-developed questionnaire by Sono, Oshima, & Ito [ ] | Non-specified mental disorder | - | |
Caregiver support service need | Behavioral Risk Factor Surveillance System [ ] | Other | - | |
General Social Survey Questionnaire [ ] | Other | - | ||
Caregiver unmet needs | Self-developed questionnaire by Chamba et al. [ ] | Specific mental disorder | Autism spectrum disorder | |
Relative’s need for psychosocial interventions | Relative’s Urgent Needs Schedule- Early Intervention [ ] | Specific mental disorder | Primary psychotic disorders | |
Family needs | Caregiver Needs Survey [ ] | Specific mental disorder | Autism spectrum disorder | |
Family Needs Questionnaire [ ] | Other | - | ||
Caregiver service use | Self-developed questionnaire by Perlick, Hohenstein, Clarkin, Kaczynski, & Rosenheck [ ] | Specific mental disorder | Personality disorders | |
Health care utilization | 2010, 2011, and 2013 EU5 National Health and Wellness Survey [ ] | Other | - | |
Insurance-Medicine-All-Sweden (IMAS) study [ ] | Other | - | ||
Medical care use and expenditure | Medical Expenditure Panel Survey [ ] | Other | - | |
Mental health service utilization and costs | Client Service Receipt Inventory- Service Receipt section [ ] | Other | - | |
Utility of possible sources of support | Family Support Scale [ ] | Other | - | |
Faith behaviors/ practices | Christian Faith Practices Scale [ ] | Other | - | |
Future intention to care | Intention to Care Scale [ ] | Non-specified mental disorder | - | |
Prioritization of personal needs | Self- and Sibling-Care Measure [ ] | Non-specified mental disorder | - | |
Sense of coherence | Sense of Coherence Index [ ] | Other | - | |
Cognitive representations of mental health problems | Illness Perceptions Questionnaire for Schizophrenia- Relatives’ version [ ] | Specific mental disorder | Primary psychotic disorders | |
Knowledge about mental illness | Knowledge Measure [ ] | Non-specified mental disorder | - | |
Mental Health Knowledge Schedule [ ] | Other | - | ||
Mental illness and disorder understanding | Mental Illness and Disorder Understanding Scale [ ] | Other | - | |
Parent’s assessment of eating behaviors and attitudes | Anorectic Behavior Observation Scale [ ] | Specific mental disorder | Eating disorders | |
Public conception of mental illness | Self-developed vignette by Link et al. [ ] | Other | - | |
Adult sibling relationship | Adult Sibling Relationship Questionnaire [ ] | Other | - | |
Expressed emotion | Family Questionnaire [ ] | Specific mental disorder | Primary psychotic disorders | |
Family Attitudes Scale [ ] | Non-specified mental disorder | .- | ||
(Patient’s perception of) expressed emotion | Level of Expressed Emotion [ ] | Non-specified mental disorder | - | |
Family burden/ Expressed emotion | Family Problems Questionnaire [ ] | Non-specified mental disorder | - | |
Family attitudes towards schizophrenia | Attitudes Towards Schizophrenia Questionnaire for Relatives [ ] | Specific mental disorder | Primary psychotic disorders | |
Family communication | Family Communication Scale [ ] | Specific mental disorder | Primary psychotic disorders / Personality disorders | |
Family empowerment | Family Empowerment Scale [ ] | Other | - | |
Family experiences | Family Experiences Interview Schedule [ ] | Non-specified mental disorder | - | |
Family functioning | Family Assessment Device [ ] | Other | - | |
Self-developed visual analogue scale by Heru & Ryan [ ] | Specific mental disorder | Mood disorders | ||
Self-developed visual analogue scale by Heru, Ryan & Vlastos [ ] | Specific mental disorder | Mood disorders | ||
Family quality of life | Family Quality of Life Survey [ ] | Non-specified mental disorder | - | |
Family role | Role Behavior Inventory [ ] | Other | - | |
Family strengths | Family Strengths Scale [ ] | Other | - | |
Parent adjustment | Parent Experience of Chronic Illness [ ] | Other | - | |
Anxiety symptomology | Beck Anxiety Inventory [ ] | Other | - | |
Burnout syndrome | Maslach Burnout Inventory- Human Services Survey [ ] | Other | - | |
Depression | Center for Epidemiologic Studies- Depression [ ] | Other | - | |
WHO World Health Survey [ ] | Other | - | ||
Depressive symptomology | Beck Depression Inventory [ , ] | Other | - | |
Geriatric Depression Scale [ ] | Other | - | ||
Diagnosable psychiatric disorder | Composite International Diagnostic Interview [ , ] | Other | - | |
General Health Questionnaire [ – ] | Non-specified mental disorder | - | ||
Goldberg Anxiety and Depression Scale [ ] | Other | - | ||
Mental Health Inventory-5 [ ] | Other | - | ||
Emotional health | General Social Survey Questionnaire [ ] | Other | - | |
Emotion dysregulation | Difficulties in Emotion Regulation Scale [ ] | Other | - | |
Emotional disorders/ Depression and anxiety | Hospital Anxiety and Depression Scale [ ] | Non-specified mental disorder | - | |
Feelings and expression of anger | State-Trait Anger Scale [ ] | Other | - | |
Grief connected to having a loved one with mental illness | Grief Scale [ ] | Non-specified mental disorder | - | |
Mental disorder | Techniker Krankenkasse [ ] | Other | - | |
Memory errors | Prospective and Retrospective Memory Questionnaire [ ] | Other | - | |
Mental health | Behavioral Risk Factor Surveillance System [ ] | Other | - | |
Mental wellbeing | Warwick-Edinburgh Mental Wellbeing Scale [ ] | Other | - | |
Mood state | Profile of Mood States [ ] | Non-specified mental disorder | - | |
Perceived stress | Perceived Stress Scale [ ] | Other | - | |
Psychological distress | Brief Symptom Inventory [ ] | Other | - | |
Depression, Anxiety and Stress Scale [ ] | Other | - | ||
General Symptom Index [ ] | Non-specified mental disorder | - | ||
Kessler Psychological Distress Scale [ ] | Non-specified mental disorder | - | ||
Non-Specific Psychological Distress and Positive Emotions Scale [ ] | Other | - | ||
Symptom Check List Revised [ , ] | Non-specified mental disorder | - | ||
Psychological wellbeing | Psychological Wellbeing (PwB) Scale [ ] | Other | - | |
Stress | General Stress Scale [ ] | Other | - | |
Subjective distress caused by traumatic events | Impact of Event Scale- Revised [ ] | Other | - | |
Unresolved grief | Mental Illness Version of the Texas Inventory of Grief [ ] | Non-specified mental disorder | - | |
Texas Inventory of Grief- Early Intervention [ ] | Non-specified mental disorder | - | ||
Worry | Penn State Worry Questionnaire [ ] | Non-specified mental disorder | - | |
Appraisal of caregiving experience | Caregivers’ and Users’ Expectations of Services- Caregiver version [ ] | Non-specified mental disorder | - | |
Experience of Caregiving Inventory [ ] | Non-specified mental disorder | - | ||
Awareness of care | Nursing Awareness [ ] | Other | - | |
Caregiving stress | General Social Survey Questionnaire [ ] | Other | - | |
Experiences of violence and aggression | Perceptions of Prevalence of Aggression Scale [ ] | Non-specified mental disorder | - | |
Interaction guilt | Well Sibling Guilt Index (WSIGI) of the Well Sibling Guilt Questionnaire [ ] | Non-specified mental disorder | - | |
Involvement of caregivers in the consumer’s hospital admission | Self-developed survey by the Private Mental Health Consumer Caregiver Network [ ] | Specific mental disorder | Personality disorders | |
Safety fears | Self-developed survey by Labrum & Solomon [ ] | Non-specified mental disorder | - | |
Self-efficacy | General Self-Efficacy Scale [ ] | Other | - | |
Adverse health status | Insurance-Medicine-All-Sweden (IMAS) Study [ ] | Other | - | |
Caregiver wellbeing / Caregiver satisfaction with the support they receive | Caregiver Well-Being and Support (CWS) Questionnaire [ ] | Non-specified mental disorder | - | |
Disability status | Self-developed questionnaire by Csoboth et al. [ ] | Specific mental disorder | Primary psychotic disorders | |
General medical symptoms | Wisconsin Longitudinal Study (WLS) Survey [ ] | Other | - | |
Overall health status | Behavioral Risk Factor Surveillance System [ ] | Other | - | |
Cornell Medical Index [ ] | Other | - | ||
Medical Outcomes Study Short-Form Health Survey [ – ] | Other | - | ||
Self-developed questionnaire by Ali, Krevers, & Skärsäter [ ] | Non-specified mental disorder | - | ||
Wellbeing | 1992–1993 Family Impact Study [ , ] | Non-specified mental disorder | - | |
Physical health | Behavioral Risk Factor Surveillance System [ ] | Other | - | |
Physical Health Rating [ ] | Other | - | ||
Self-developed scale by Greenberg et al. [ ] | Other | - | ||
Risk of developing diabetes | Australian Type 2 Diabetes Risk Assessment Tool [ ] | Other | - | |
Sleep problems | WHO World Health Survey [ , ] | Other | - | |
Somatic symptoms without organic cause | Somatic Symptom Scale [ ] | Non-specified mental disorder | - | |
Care-related quality of life | CarerQoL [ ] | Other | - | |
Health-related quality of life | EuroQoL [ ] | Other | - | |
Health Utilities Index [ ] | Other | - | ||
Quality of life | Quality of Life Index [ ] | Other | - | |
Quality of Life Measure [ ] | Specific mental disorder | Autism spectrum disorder | ||
World Health Organization Quality of Life [ – ] | Other | - | ||
Caregiver wellbeing/ Caregiver satisfaction with the support they receive | Caregiver Well-Being and Support (CWS) Questionnaire [ ] | Non-specified mental disorder | - | |
Caregivers’ perceptions of support from health professionals for them as caregivers | Self-developed survey by the Private Mental Health Consumer Caregiver Network [ ] | Specific mental disorder | Personality disorders | |
Family satisfaction | Family Satisfaction Scale [ ] | Specific mental disorder | Primary psychotic disorders / Personality disorders | |
Family Satisfaction Scale [ ] | Other | - | ||
Global life satisfaction | Satisfaction with Life Scale [ ] | Other | - | |
Marital satisfaction | Marital Adjustment Test [ ] | Other | - | |
Marital Satisfaction Questionnaire for Older Persons [ ] | Other | - | ||
Affiliate stigma | Affiliate Stigma Scale [ ] | Non-specified mental disorder | - | |
Depression-related stigma | Self-developed scale by Griffiths et al. [ ] | Specific mental disorder | Primary psychotic disorders | |
Social isolation | Friendship Scale [ ] | Other | - | |
Social network | Social Network Questionnaire [ ] | Non-specified mental disorder | - | |
Social participation | Wisconsin Longitudinal Study (WLS) Survey [ ] | Other | - | |
Social rejection | Kreisman’s Family Rejection Scale [ ] | Specific mental disorder | Primary psychotic disorders | |
Labor force participation | Self-developed scale by Csoboth et al. [ ] | Specific mental disorder | Primary psychotic disorders | |
Paid and unpaid work impairment | Work Productivity and Impairment Questionnaire [ ] | Other | - | |
Work productivity loss | Insurance-Medicine-All-Sweden (IMAS) study [ ] | Other | - | |
Caregiving consequences | Additional Involvement Evaluation Questionnaire Modules [ ] | Specific mental disorder | - | |
Involvement Evaluation Questionnaire [ – ] | Specific mental disorder | Primary psychotic disorders | ||
Caregiving reward | Self-developed visual analogue scale by Heru & Ryan [ ] | Specific mental disorder | Mood disorders | |
Difficulty and adversity that caregivers experience in trying to manage social and family life, finances, and control over their personal lives | Family Life Difficulty Scale [ ] | Non-specified mental disorder | - | |
Experienced challenges | Self-developed questionnaire by Corsentino et al. [ ] | Non-specified mental disorder | - | |
Financial difficulty | Wisconsin Longitudinal Study (WLS) Survey [ ] | Other | - | |
Instrumental costs | Self-developed questionnaire by Lohrer, Lukens, & Thorning [ ] | Non-specified mental disorder | - | |
Psychiatric patient’s social behavior and its impact upon significant others | Social Behavior Assessment Scale [ ] | Non-specified mental disorder | - | |
Subjective perception of negative and positive aspects of caregiving | COPE Index [ , ] | Other | - | |
Stress-related growth | Stress-Related Growth Scale-Revised [ ] | Other | - |
Conceptualization and operationalization.
The concept clusters are described in detail below. The dimensions and operationalization of each concept (cluster), including all references, can be found in the meta-summaries reported in the S2 File .
Caregiving burden . Caregiving burden assesses the strain and negative consequences of caregiving, with objective and subjective burden emerging as two distinct conceptualizations. Objective burden is the negative occurrences that resulted from caregiving, including the interruption of personal time, missing work, and financial strain. Subjective burden are the affective responses exhibited by the informal caregiver due to their caregiving, including subjective worry and distress. Caregiving burden was assessed for individual caregivers and families that took on a caregiving role. From 28 questionnaires, a total of 70 dimensions were identified. Caregiving burden was operationalized into overall caregiving burden, the impact of caregiving on their daily lives and wellbeing, the caregiver-care recipient relationship, and self-rated incompetence. Overall caregiving burden was assessed as non-specific evaluations of objective and subjective burden and the duration of various caregiving tasks. The impact of caregiving included negative and positive consequences that affected the caregiver’s appraisal of their caregiving situation, their care recipient, and their everyday lives. The effect of caregiving on the caregiver’s everyday life was widespread and included their health, wellbeing, financial situation, work, leisure, and relationships. The effect of caregiving on the family focused on the dynamics of the household, the relationship with their partner, and the impact on individual family members, especially the children. The framing of the caregiver-care recipient relationship was negative and focused on tensions that existed due to the care recipient’s condition and the caregiving situation. Caregiver incompetence was operationalized as the caregiver’s valuation of their caregiving abilities.
Caregiving needs . Caregiving needs refers to the desires and necessities of the informal caregiver due to their caregiving responsibilities. These needs were identified for the family, relatives and other individuals that took on the caregiving role. A total of nine questionnaires operationalized caregiving needs into 25 dimensions. Needs were identified in relation to the caregiving situation and the personal life of the caregiver. Caregiving situation needs were the needs for caregiver support and other needs related to the care recipient’s symptoms and behavior. Caregiver support was identified for different caregiving tasks and caregiver support services. Additionally, caregiver needs in their personal life were identified and operationalized for the caregiver’s social life, work/study, and finances.
Caregiver service use . Caregiver service use is conceptualized as the informal caregiver’s utilization of informal and formal services due to their informal care provision. Caregiver service use was operationalized by six questionnaires into six dimensions. Overall service use was identified as a general service use dimension that considered service use from medical services, community-based and criminal justice service contacts, and different forms of caregiver support use. Caregiver support services included assistance provided to the caregiver on behalf of a variety of informal and formal community-based sources. Medical care use were dimensions that assessed specialized health service utilization (i.e., mental, and physical health services) and primary care service utilization.
Characteristics of caregivers . Characteristics of caregivers are concepts that defined the daily lives of informal caregivers and were impacted by caregiving. Four questionnaires operationalized these concepts into 19 dimensions. These dimensions assessed different aspects of the informal caregiver’s daily life, their caregiving intentions for the future, and sense of coherence. The informal caregiver’s daily life concerned stressful events that could occur, their religion, their involvement in the community, and self-care priorities. The intention to provide care was assessed for different caregiving tasks that the individual would be willing to perform in the future. Sense of coherence refers to the adaptive dispositional orientation of a person that enables them to cope with adverse experiences.
Conceptions of mental illness . Conceptions of mental illness is defined as the informal caregiver’s personal understanding and opinions of mental illness and their care recipient and considered how this was affected by caregiving. This was conceptualized as the informal caregiver’s overall knowledge and their assessment of disease-related behaviors and attitudes. A total of six questionnaires was operationalized into 25 dimensions. Knowledge and understanding of mental disorders were the caregiver’s understanding of the different stages of the patient’s disease trajectory. Stigma emerged as a separate dimension, which concerned the negative or false personal beliefs that the caregiver may have about mental illness or individuals suffering from a mental illness. Personal blame assessed the caregiver’s attribution of blame directed towards themselves and the care recipient for the mental disorder.
Family impact . Family impact is conceptualized as the positive and negative consequences that caregiving and the care recipient have on the family unit. These concepts assessed the family’s dynamics and the family caregiver’s attitudes towards specific mental disorders. Sixteen questionnaires operationalized family impact into 42 dimensions. The dimensions assessed family functioning and communication, expressed emotion, and characterized the family’s caregiving situation. Different aspects relating to family functioning were identified, such as the family’s ability to problem solve and family cohesion. Expressed emotion is a measure of the family environment based on how family members spontaneously talk about their mentally ill relative [ 195 ]. The caregiving situation was characterized by the caregiving tasks that were performed and the family’s responses to caregiving and the care recipient.
Mental health . Mental health refers to informal caregiver’s diagnosable psychiatric disorders, psychological wellbeing and distress, and emotional wellbeing measures that were impacted by caregiving. Thirty-three questionnaires assessed mental health concepts and operationalized them into 65 dimensions. Several psychiatric disorders were operationalized, namely burnout, mood disorders, anxiety disorders, obsessive compulsive disorders, and primary psychotic disorders. Dimensions assessing subjective sense of personal worth were found that assessed the informal caregiver’s purpose in life and personal growth. Negative dimensions relating to emotional wellbeing were identified, such as grief and stress. Environmental mastery is a dimension that assesses the informal caregiver’s self-rated sense of control and competence in managing their external environment and making effective use of their surrounding opportunities. Overall psychological measures were operationalized as either negative (i.e., psychological distress) and positive dimensions (i.e., psychological wellbeing).
Overall caregiving situation . Overall caregiving situation refers to the informal caregiver’s appraisal of their caregiving experience and their involvement in the care recipient’s care. A total of 9 questionnaires assessed the overall caregiving situation . From these questionnaires, 29 dimensions were identified. These dimensions assessed the informal caregiver’s appraisal of their caregiving abilities and situation, caregiver support, and care recipient characteristics. The informal caregiver’s appraisal of their caregiving abilities was largely comprised of self-efficacy. Self-efficacy is the informal caregiver’s perceived ability to succeed in specific situations. Caregiver’s appraisal of their caregiving situation was operationalized into negative and positive dimensions that assessed specific aspects of their caregiving situation, such as interaction guilt and good aspects of the relationship. Caregiving support is the availability and quality of particular caregiver support services. The informal caregiver’s appraisal of the care recipient included negative behaviors, symptoms, and aggression exhibited by the care recipient.
Physical health . Physical health is conceptualized as the caregiver’s overall physical health and specific physical ailments that were impacted by caregiving. From six questionnaires, a total of 14 dimensions were identified. Physical health was operationalized into general health-related characteristics, overall physical health, and physical conditions. General health-related characteristics are factors that may influence the caregiver’s overall physical health, including lifestyle and demographic measures. Overall physical health is the caregiver’s self-rated poor physical health days. Physical conditions are a range of disorders across the major human bodily systems.
Overall health . Overall health is conceptualized as the informal caregiver’s general health status, functioning, and wellbeing due to caregiving. A total of 9 questionnaires assessed overall health and was operationalized into 41 dimensions. The dimensions included the caregiving situation and the informal caregiver’s overall health status. In relation to the caregiving situation, negative characteristics of the care recipient, day-to-day life as a caregiver, safety, and the caregiver-care recipient relationship were identified as relevant domains. Overall health was operationalized as the caregiver’s overall functioning, health, and social wellbeing.
Quality of life . Quality of life is the overall quality of life measures that were impacted by caregiving. Quality of life was conceptualized as general quality of life measures and quality of life measures related to the care and health domains. Six questionnaires operationalized quality of life into 24 dimensions. The domains assessed the caregiver’s environment, which refers to their financial resources, residence, socioeconomic status, and physical environment. The family of the caregiver was evaluated, wherein the dimensions considered the interactions between family members and their overall happiness. Caregiver health was operationalized into domains that assessed their ability to function in terms of their mental, physical, and overall health.
Satisfaction . Satisfaction is defined as a measure of the informal caregiver’s overall fulfilment of their expectations, needs, and wishes in relation to their caregiving situation and other aspects of their life. The concepts were evaluated for families and other individuals that took on the caregiving role. Seven questionnaires operationalized satisfaction into 21 dimensions. Satisfaction with life was operationalized as the informal caregiver’s life being close to ideal, having the important things that they want in life, and having no desire to change anything if they could live their life over. Satisfaction with caregiver support was the caregiver’s satisfaction with respite care, their support from different health providers, and caregiver’s involvement in the care recipient’s treatment. Family satisfaction is satisfaction relating to the functioning of the family as a whole and between spouses.
Social impact . Social impact are the consequences of caregiving on the informal caregiver’s social life and was conceptualized as experienced stigma, social participation, and negative social impact. The concepts were operationalized by six questionnaires with a total of 16 dimensions. The dimensions included the nature of social contacts, social support and participation, and stigma. The nature of social contacts was framed as negative social consequences and the frequency of contact. Negative social consequences included social isolation and rejection. Two different types of social support were identified, namely emotional and practical social support. Social participation evaluated engagement in activities and community-based organizations, such as charitable organizations.
Work impact . Work impact refers to the impact that caregiving had on the informal caregiver’s paid and unpaid work. Three questionnaires assessed work impact-related concepts. From these questionnaires, eight dimensions were identified. These dimensions included productivity loss, labor force participation, and sources of income. Two types of productivity loss were operationalized, namely absenteeism and presenteeism.
Other caregiving consequences . Other caregiving consequences includes impact of caregiving measures that were not domain specific. A total of 10 questionnaires were identified. These concepts were operationalized into 30 dimensions. These dimensions classified consequences based on who was affected by the caregiving situation. Other consequences for the caregiver were operationalized by questionnaires as negative and positive framing of consequences and included consequences for their daily lives, self-development, the relationship with the care recipient, and the caregiving situation.
The five most frequently assessed concept clusters were mental health (n = 75), caregiving burden (n = 65), other caregiving consequences (n = 30), family impact (n = 22), and overall health (n = 22). Mental health and caregiving burden had distinct increases in assessment over the years compared to other concept clusters. The other concept clusters had no clear assessment trends, with some random assessment spikes.
Concept use was determined for all diagnosis groups ( Table 3 ). The distribution of concept use differed per diagnosis group. Select diagnosis groups, namely schizophrenia and other primary psychotic disorders, eating disorders, bipolar disorders, depressive disorders, and autism spectrum disorders, employed a broad scope in impact of caregiving. The other diagnosis groups only used a limited number of concept clusters. For anxiety disorders, autism spectrum disorder, bipolar and related disorders, eating disorders, personality disorders, schizophrenia and other primary psychotic disorders, and trauma- and stressor-related disorders, the most assessed concept cluster was mental health . Quality of life was the most assessed concept cluster for anxiety disorders and obsessive compulsive and related disorders. Caregiving burden was the top concept cluster for attention deficit hyperactivity disorder, depressive disorders, and substance-related and addictive disorders.
Diagnosis group | Number of times assessed | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Caregiving burden | Caregiving needs | Caregiver service use | Characteristics of caregivers | Conceptions of mental illness | Family impact | Mental health | Overall caregiving situation | Physical health | Overall health | Quality of life | Satisfaction | Social impact | Work impact | Other caregiving consequences | Total | |
0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | |
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
2 | 2 | 2 | 0 | 0 | 1 | 10 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 23 | |
8 | 2 | 0 | 0 | 5 | 9 | 1 | 0 | 6 | 0 | 1 | 0 | 0 | 7 | 39 | ||
6 | 0 | 1 | 0 | 0 | 3 | 5 | 1 | 0 | 5 | 3 | 0 | 0 | 0 | 6 | 30 | |
9 | 2 | 0 | 0 | 1 | 2 | 10 | 2 | 0 | 4 | 1 | 0 | 0 | 0 | 4 | 35 | |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 4 | |
5 | 0 | 0 | 1 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | |
27 | 3 | 5 | 0 | 5 | 8 | 34 | 7 | 2 | 8 | 11 | 2 | 5 | 6 | 7 | 130 | |
2 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 7 | |
0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 |
Notes . ADHD = attention deficit hyperactivity disorder; ASD = autism spectrum disorder; ED = eating disorders
This is the first systematic literature review to generate an overview of the questionnaires and concepts used to assess the impact of caregiving. We found that caregiving has a widespread impact on the lives of informal caregivers; however, the assessment of impact was often limited to domain specific measures. Moreover, there was a high degree of variability in the conceptualization and operationalization of the impact of caregiving. Despite the increasing number of publications in this field of research, there is no clear consensus on the use of concepts and questionnaires. The results of the review indicate that over the last 15 years, a variety of concepts were used to assess the impact of caregiving, irrespective of the type of mental disorder and timeframe. The variability can partly be accredited to the terminology used to define the respective area of impact. When concepts were clustered, the impact of caregiving was conceptualized into 15 concept clusters.
In our study, we found that the current conceptualization and operationalization of caregiving impact does not align with theoretical frameworks in the field. The current caregiving research paradigm aims to understand the experience of having a relative with a mental disorder [ 21 ] and allows for the negative and positive assessment of informal caregiving [ 196 ]. These theoretical models include theories of resilience [ 197 , 198 ] and stress-coping approaches [ 199 ] and form the basis of some of the questionnaires that were identified in the review, such as the Experience of Caregiving Inventory [ 22 ]. These respective concepts were classified as other caregiving consequences and overall caregiving situation and address the shortcomings of concepts that are not grounded in psychological and social theories (i.e., caregiving burden ). Caregiving burden is critiqued for being difficult to operationalize [ 21 , 22 ] and unable to recognize the rewarding aspects of caregiving [ 200 ]. However, as evidenced by our review, concepts such as caregiving burden remain popular in caregiving research. This could be due to the historical use of this concept in caregiving research [ 18 ] and methodological limitations of studies that support the negative assessment of informal caregiving [ 196 ].
The assessment of the caregiving impact differed across disease groups, with certain disease groups assessing a range of concepts and others only assessing a limited number of concepts. Further research is needed to determine whether the impact of caregiving is truly less widespread for particular disease groups. This trend appeared to correspond with the number of times that a disease group was studied. Schizophrenia and other primary psychotic disorders were the most studied disease group in our review and have received academic attention since the start of deinstitutionalization [ 18 ]. This may be due to the symptomology of primary psychotic disorders [ 201 ] and disease-related stigma [ 202 , 203 ]. Symptomology of disorders can have a significant impact on caregivers, regardless of diagnosis [ 204 ]. For example, positive symptoms of schizophrenia patients are received differently by caregivers than negative symptoms [ 201 ]. Similarly, caregiver burden has been found to fluctuate due to varying behavior exhibited by bipolar patients across manic and hypomanic episodes [ 205 ]. Nonetheless, peer-reviewed literature is generally focused on investigating the impact of caregiving for specific mental disorders and not symptoms [ 206 – 208 ].
The sensitivity of identified questionnaires may not be sufficient to detect the impact of caregiving for this study population, because almost half of the questionnaires were not originally developed for psychiatric disorders. The lived experiences of caregivers for patients with mental disorders are complex [ 209 ] and differ to that of other informal caregivers [ 33 , 210 ]. They are often left vulnerable to structural discrimination, which can adversely affect their social interactions and access to certain social roles [ 211 – 214 ]. Likewise, the symptoms of severe mental disorders have been identified as strong predictors of depression and anxiety [ 215 ]. Caregivers state that they often have difficulties understanding the symptoms and behavior of their loved ones [ 216 ]. They are also required to navigate fragmented medical, legal, and governmental systems to ensure that their loved ones receive adequate medical care. These formal systems often neglect the informal caregiver and undervalue their role [ 209 , 217 ]. Currently, limited data is available to determine the acceptability, reliability, and validity of questionnaires for this caregiving population [ 19 ]. However, the comparability of questionnaires across studies and conditions should also be considered when selecting a questionnaire.
The results of this review give an initial insight into the operationalization and conceptualization of the impact of caregiving; however, further research is needed to: (a) ensure the completeness of concepts and dimensions, (b) validate the formulation of our concept clusters, (c) explore the prioritization of concepts by informal caregivers, (d) determine whether the lived experiences of this caregiving population warrant the use of specific questionnaires, and (e) investigate how the conceptualization and operationalization of caregiving impact may differ across diagnosis groups.
There are some limitations that should be explored. Firstly, the paper should be scrutinized for categorical bias. Categorical bias could have occurred during the generation of the concept clusters because the process required a degree of personal interpretation. Secondly, the transferability of our findings to other cultural settings is limited, due to the exclusion of non-English publications and non-OECD research. The cultural norms and perceptions concerning informal caregiving has been found to vary greatly across countries and could have impacted our identification of concepts [ 19 ]. Thirdly, studies and questionnaires could not be identified for some mental disorders. These factors may have affected the selection of concepts and their respective operationalization. Lastly, the generalizability of our study was limited to adult caregivers and care recipients. The age of the care recipient and caregiver is a factor that not only alters the caregiving experience, but also plays a role in the impact of caregiving. For example, concepts such as parentification are not relevant for adults and was not included in our concept list but should be considered for minors [ 218 ].
NR = not reported.
The authors wish to thank dr. Maarten F. M. Engel from the Erasmus MC Medical Library for developing and updating the search strategies.
The authors received no specific funding for this work.
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“Young carers”, or “caregiving youth”, have existed on the fringes of the caregiving literature, programming and support for decades, beginning the UK in the early 1990’s (Leu & Becker, 2017 ), which has informed over two decades of targeted young carer programs, services and funding. Yet, the overall inclusion of children and youth into the larger caregiving literature has lagged, often due to social norms or expectations as to what constitutes a “caregiver” and what is considered outside the social constructs of the role children and youth have in families.
Despite these considerations children and youth caregivers persist, as does the extensive care they provide, in relative obscurity. Their hidden nature is exacerbated by their being left outside most state caregiving policy in the developed world, particularly North America, where in the US, national caregiving policy begins at the age of 18 (Kavanaugh et al., 2015 ) or in Canada, where supports are connected to income tax credits geared towards working adults (Stamatopoulos, 2015 ). The lack of attention paid to young carers, particularly in North America, was confirmed by an updated global comparison of in-country awareness and policy responses to young carers (Leu & Becker, 2017 ). Here, and as was the case in its preceding global typology (Becker, 2007 ), the United Kingdom retained its placement as the only “advanced” model of awareness, recognition and social service provisioning for young carers, with no country found to have a fully “incorporated/sustainable” set of legal rights and policy interventions to meet young carers’ needs and promote their overall health, well-being and development (Leu & Becker, 2017 ).
This special issue of Child and Adolescent Social Work Journal, addresses several of these issues, by drawing attention to the lack of research on young carers around the globe, the broader conceptualization and enumeration of these young people, the development of programs and services to support them and their family members, and the unequal conditions of care that are connected to intersecting axes of discrimination, including but not limited to gender, race/ethnicity, sexuality, disability and class.
To start off the special issue, Hendricks, Kavanaugh & Bakitas ( 2021a ) point to the overall lack of attention to young carers in their scoping review of primarily US young carer research. Building off an earlier 2015 scoping review conducted by Kavanaugh et al. ( 2015 ), which found a paltry 22 peer reviewed papers on young carers compared to the thousands of peer reviewed publications addressing adult caregivers, this updated review was only able to find an additional four publications over the ensuing 6 years. Indeed, very few questions poised in the initial review were answered given the small number of studies, including how caregiving varies by race/ethnicity and location. By underscoring the continued lack of attention and awareness paid to young carers in the US, often considered the leader of the developed world, this review re-affirms how far behind the US remains vis-a-vis the basic acknowledgement of the role children and youth play as caregivers, as well as the provision of care supports targeting their unique needs.
The second paper in the series provides an intersectional approach to the unequal conditions of care. In an ethnographic investigation of young carers and their families in the West Midlands (UK), Alexander ( 2021 ) highlights the need for an expanded emphasis on how supportive policies take on a different character (i.e. more or less supportive, more or less punitive) dependent on the social location of the young carer. By drawing on positions of privilege, including but not limited to class, ‘race’/ethnicity and citizenship, Alexander reveals how important markers shape family circumstances and young carers’ experiences within those families. By drawing our focus to the heterogeneity of experience and supports within the broader young carer community, this research draws our focus to how policies can seek to improve and/or alter the experiences of young carers whose often intersecting inequalities contribute to further marginalization of their care work and access to available supports.
Third in the series, we have Bernardi, Chalmers & Heather’s ( 2021 ) contribution highlighting the contradictions seen in adult caregivers—that of the ability to show compassion to others in the form of care, yet struggling with self-compassion. Young carers possessed high levels of compassion, yet were largely unable to feel self-compassion—or identify ways to care for themselves while also struggling to receive the same level of compassion from family members. Moreover, this problem was particularly pronounced among older young carers in the sample, where self-care was seen as a character flaw connected to selfishness and guilt for taking off time for self-care. By teasing out the contradiction whereby young carers are quick to help others before helping themselves, this study corroborated other research demonstrating the tendency of young carers, particularly older ones, to put the needs of others before their own.
Next up, Hendricks, Vo, Dionne-Odom & Bakitas ( 2021b ) put a much-needed spotlight on those caregiving dynamics marked by the concept of “parentification” whereby the young carer takes on of adult roles and responsibilities as either a feature of parental neglect but also parental illness or incapacitation. By teasing out how a lack of support from self and family may have to do with how caregiving is conceptualized, and whether the role of the young carer crosses over into “parenting” the ill parent, this paper teases out the differences and similarities between the young carer and parentification literatures, which for long have been kept separate due to a resistance by young carer scholars to apply the concept of parentification to the case of young carers (Frederick et al., 2020 ). Using the Rodgers’ evolutionary method to amalgamate existing literature on parentification of young carers, the authors review 25 articles to then chart the antecedents, attributes and consequences of parentification among young carers. Their resulting framework provides a fruitful foundation for further research in this currently understudied area while helping to draw catered supports to parentified young carers in order to mitigate its more harmful consequences.
Whether the youth is parentified, or has a lack of support, what is exceedingly clear is the overall need for services for these young people, exemplified in Phelps’ ( 2021 ) paper. The UK has one of the most robust and well established young carer programming in the world, with the majority delivered at the community level with the intent to provide localized and targeted services However, not all young carer families are actually receiving the services. In an evaluation of young carer programs in the Hampshire area UK, Phelps details not only the services needed by young carers and their families, but specifically how the provision of services impacted the well-being of the family as a whole. Results highlight the many ways in which young carers are supported by no longer feeling alone, having similar peers and opportunities for respite. While parents feel supported by having access to staff members who understand their situation, with the opportunity to build relationships with these staff. These data underscore the critical need for not only localized services, but those run by staff who are dedicated to support and engagement with young carers and their families. Sadly, these programs are not replicated across the globe, primarily due to cost and lack of a socialized care system, but most critically due to a lack of awareness and attention paid to the role of young carers.
Kettell’s ( 2021 ) contribution extends the conversation around young carer service provisioning by addressing the absence of a validated tool or measure with which to identify such young people for potential programming. With this in mind, Kettell set out to develop a global screening tool for use with young carers of a family member with a progressive or long-term illness or disability. By working in a participatory fashion with young carers and health, social care and education professionals from the UK, USA and Canada, the resulting Carers’ Alert Thermometer (CAT-YC) contains an identification question followed by 10 areas of need across two themes of ‘current caring situation’ and ‘carer’s health that can be used as a standardized assessment for young carers in any number of settings. Not only can this tool be used to identify the need for supports and appropriately triage young carers for said supports but it can also be used an empirical tool to help establish prevalence estimates in countries that do not nationally enumerate for the presence of informal caregiving among younger populations.
The final contribution in the series bring much of the above discussion together by seeking to assess how young carers feel about their experiences. Here, Hamill ( 2021 ) highlights her development of a new “Feelings About helping” scale to assess feelings of care among a US sample of high-school aged young carers providing care to grandparents. Results highlighted three primary factors, burden, meaning, and negative physiological responses—all critical to informing how support programs can be developed. Moreover, the focus on how youth feel about helping addresses two understudied areas, that of the physiological impacts of care and care provided by young people to older adults. However, what Hamill addresses is that youth are indeed affected physiologically and that we should be drawing more research focus on how our aging population will continue to draw more youth into grandparent caregiving roles.
The papers in this special issue are much needed in the advancement of not only the science of young carer research, but the development and delivery of support programs and services for a uniquely vulnerable, isolated, and understudied caregiving population. The hope for this edition is to not simply add to the literature, but to raise awareness for the broader need to include all caregivers, not merely adult caregivers, in local, national and international research and state policy agendas. It is imperative that we continue to elevate the voices of young carers to caregiving policy and make it widely known that they are a significant and growing caregiver cohort that requires our attention and support.
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Hendricks, B., Kavanaugh, M. S., & Bakitas, M. (2021a). How far have we come? An updated scoping review of young carers in the U.S. Child and Adolescent Social Work Journal . https://doi.org/10.1007/s10560-021-00783-8
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Kavanaugh, M.S., Stamatopoulos, V. Young Carers, The Overlooked Caregiving Population: Introduction to a Special Issue. Child Adolesc Soc Work J 38 , 487–489 (2021). https://doi.org/10.1007/s10560-021-00797-2
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Spinal Cord volume 59 , pages 493–503 ( 2021 ) Cite this article
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Qualitative exploratory study.
To explore the lived experience of SCI caregivers, with a focus on the challenges of their role.
Caregivers of people with SCI living in the community in Switzerland.
Data were collected through semi-structured interviews. Thematic analysis was performed.
The sample included 22 participants (16 women, 15 life partners) with a mean age of 61 years who had been caregivers for an average of 18 years. Caregiving in SCI seemed to be characterized by two phases. The first phase was relatively short and was central to becoming a caregiver; it was marked by challenges related to adjusting to the role of caregiver (e.g., dealing with shock, feeling unprepared). The second phase is lifelong and is characterized by a number of recurrent challenges related to balancing caregiving and personal life (e.g., having to prioritize caregiving over personal wishes, negotiating tasks and workload). Challenges related to lacking appropriate housing, facing financial uncertainty and dealing with bureaucracy were noted during both phases. Caregivers had to deal with these challenges to stay in step with life changes and newly emerging needs.
Informal caregivers have a major role in supporting people with SCI. But their needs are not static. Any strategy to empower them has to adapt to an evolving role characterized by multiple tasks and challenges. A functional relationship between caregivers and care recipients is based on the recognition of their individualities and the different phases of adaptation, which is also an enriching process.
Introduction.
A spinal cord injury (SCI) changes a person’s life overnight, requiring them to relearn the most basic tasks. People with a SCI who do not achieve complete independence rely on support to manage their condition and carry out daily activities. This support contributes to their quality of life and ability to participate in society and is often provided by family members [ 1 ]. Moreover, caregivers provide support not only for mobility and household chores, but also for respiratory care, body care, bowel and bladder management, and eating and drinking [ 2 , 3 ]
Research in the field of other chronic conditions, such as cancer, Alzheimer’s disease, and Parkinson’s disease, shows that caregiving often disrupts the life of the caregiver, including their professional, social, and familial relationships [ 1 , 4 , 5 , 6 ]. Furthermore, studies have reported the perceived impact that the role of caregiving has on a caregiver’s life (e.g., caregiver burden) [ 7 , 8 ].
In the context of SCI, recent reviews of the literature have reported caregivers having high levels of burden, depression and anxiety, physical symptoms, and reduced life satisfaction, as well as feelings of isolation and a loss of identity [ 9 , 10 ]. This might be due to the fact that, unlike caregiving in other conditions, caregiving in SCI can last decades, as the life expectancy of people with SCI has increased, and these caregivers often take on the role in early-middle age [ 9 , 11 ].
Caregiving is an evolving experience that is shaped by an interplay of contextual and relational factors. To better support caregivers, it is necessary to identify the challenges they encounter in caring for a loved one and assess the appropriateness of the healthcare system’s response to their needs [ 12 ]. This study will explore the lived experience of SCI caregivers, with a focus on the challenges that they face over time. While research in the field of SCI has emphasized the caregiver burden (e.g., predictors, impact on health) [ 3 , 13 , 14 ], this study looks at the evolution of the role of caregiver as experienced by those in this position.
This qualitative exploratory study is part of a larger project about informal caregivers of people with SCI in Switzerland. The project included a quantitative study [ 2 ] and a qualitative study with a subgroup of participants. Overall, the latter aimed to identify targets for the empowerment of informal caregivers in terms of support, information services and self‐management resources. Some of its findings are presented in this manuscript.
To recruit participants, we contacted the people with SCI included in the address lists of the national longitudinal survey (Swiss Spinal Cord Injury Cohort Study) [ 15 , 16 ], cross-referenced with the membership database of the Swiss Paraplegic Association and patient databases of the four SCI-specialized clinics in Switzerland. Those with SCI were asked to give the enclosed survey to their primary family caregiver. The caregivers who completed the survey ( N = 717) could indicate in the informed consent form their availability to take part in an interview.
All the caregivers who indicated in the survey, their availability to take part in an interview, were considered potential participants. Among them, we recruited a purposive sample of participants for this study. The participants fulfilled the following inclusion criteria: being >18 years of age, speaking an official Swiss language (French, German, or Italian) fluently, providing at least 10 h per week of care to a family member with SCI who has been a wheelchair user for at least 4 years, and perceiving either a high or low burden in relation to caregiving. This information was retrieved from the survey. To capture a wide range of perspectives on SCI caregiving, we also considered factors that might affect the experience of caregiving [ 17 , 18 , 19 , 20 ] such as gender and age (for caregiver and care recipient), linguistic region, relationship between caregiver and care recipient (partner, parent, adult child), financial expenditures due to caregiving, and number of years of caregiving.
The potential participants were contacted via phone or via email, depending on the contact method that they indicated as preferred in the survey. We tried to join 34 caregivers, of which 22 actually participated in the study. We stopped trying to recruit a potential participant after having called three times at different times of the day or after having sent two reminders without answer.
Participation in the study was voluntary, and written consent was obtained from all interviewees. During the first contact, the researcher would quickly present the aim of the study and what the participation consisted of. If the person showed an interest in participating, the study information and a copy of the informed consent were sent home. Later on, the interview was scheduled. The day of the interview, the researcher would remind the most important issues linked to the declaration of informed consent and the interviewee would sign the document.
Data were collected through audio-recorded semi-structured interviews. The interview guide was developed by CZ and revised in collaboration with the research team. The questions explored the experiences of caregiving and their evolution over time. Knowing from the literature that caregiving can be a disruptive event and that caregivers often reported negative outcomes, we included questions that covered these aspects. In addition, and in line with other scientific literature, we asked questions to uncover the positive aspects of caregiving, as well as resources and strategies that caregivers put into place. The main questions of the interview guide are presented in Table 1 . The questions would guide the conversation but there was the opportunity to follow-up on issues raised by the participants.
Three pilot interviews were conducted to test the interview guide after which no major changes were made, but the wording was improved. The pilot interviews were therefore included in the analysis.
The first author and a trained research assistant (NL) conducted all interviews in the interviewees’ preferred language (German, French, or Italian) and in a location of their choosing (i.e., home, workplace, bar). The interviewers kept a field diary in which they took notes of initial analysis thoughts, interpretations, and questions as well as of feelings during the interviews and first impressions. The interviewers also discussed issues emerged in the conduction of the interviews (e.g., how to best support a caregiver who is crying, how to deal with the own emotions).
The interviews lasted an average of 70 min (±SD = 33), were transcribed verbatim and analyzed following the principles of thematic analysis [ 21 ]. The analysis included both a deductive and an inductive phase: The first author (CZ) conducted the first deductive coding of six interviews and JA and NL of each three interviews. The three researchers met then to compare the coding and solve disagreement. A similar procedure was followed for the inductive coding. The data of each theme were constantly compared to ensure their homogeneity as well as their distinctiveness from other themes. Thematic saturation was reached.
To ensure trustworthiness, the researchers involved in the analysis documented their personal reflections on the data and had regular informal peer debriefings. They also performed investigator triangulation (e.g., by checking preliminary findings and interpretations against the raw data) to reduce researcher bias. They kept track of their discussions on themes, labeling, etc. to remember how and why decisions were made.
The interviews were analyzed in their original language, and excerpts were translated only for the purpose of scientific publications. The software MAXQDA™ (Release 12.2.0) was used to organize and store the data.
More details are presented in the Supplementary file 1 .
The final sample included 22 participants (16 women) with a mean age of 61 years (±SD = 10.4) who had been caregivers for an average of 18 years (±SD = 13.5). The majority of the participants were the life partners ( n = 15) of the care recipient. Participants’ characteristics are presented in Table 2 .
The analysis indicated that the experience of SCI caregiving had two phases. The first phase covered the period in which the family member became a caregiver. In most cases, this happened after the patient’s discharge from their first rehabilitation. However, in some cases, caregiving began later (e.g., partners met after SCI onset and became caregivers once they moved in together). The second phase began after a new routine had been arranged.
Many participants claimed the beginning of caregiving was a “natural” consequence of the relationship they had with the care recipient, anchored in social norms (e.g., a wife is expected to take care of her husband) and an expectation of reciprocity (i.e., she/he would have done it for me) (illustrative quotes are presented in Table 3 , Q1). In their views, being a caregiver was a part of their duties as a mother or life partner (Q2) and some explained that helping was part of their nature or personality (Q3). Among the reasons mentioned for having become caregivers, the participants often referred to a desire to protect the family privacy and to avoid dependence on homecare providers (Q4). However, in other cases, it was the concurrence of certain life circumstances (e.g., being unemployed and a nurse by training when the accident happened); expressions like “I slipped into it” stressed the accidental way the caregiving began (Q5). Other reasons for “slipping into caregiving” were not finding any appropriate assisted living facility or the expectation of the injured person to be assisted by the family member (Q6).
Despite the different ways in which the participants described the beginning of caregiving, they seemed to have experienced a number of similar challenges. The first phase was characterized by specific challenges that seemed to mirror how the caregiving started: unexpected and disruptive. Dealing with these challenges allowed the family member to embed the caregiver role into their life. The second phase was marked by recurrent challenges and subsequent adjustments. In the following, we provide an in-depth exploration of the challenges that characterize the lifelong process of becoming and being a caregiver (Fig. 1 ).
Overview of the findings.
Dealing with the shock.
In situations in which the care recipient and caregiver already had a relationship before SCI onset (e.g., parent–child, partners), the analysis highlighted that the caregiver had to deal with shock and realize that the disability was permanent. The participants reported that during the acute rehabilitation phase they had to understand what happened, manage their expectations for recovery, and start coming to terms with the situation (Q7).
The participants reported a lack of information, training, and guidance (Q8). When looking back, some interviewees stated that the focus was always on the person with SCI and resented a lack of support in preparing them for a “lifetime job” as a caregiver (Q9).
Becoming a caregiver required adaptations in many domains: professional life (e.g., reducing working time), social life (e.g., less time for friends and hobbies), and family life (e.g., moving because the house could not be adapted) (Q10). Even in the cases of caregivers who took on the task years after SCI onset, there was a need to adapt their lives to the new situation (Q11). Adapting their lives and habits gave rise to new routines, which were often fixed and based around the needs of the care recipient (e.g., self-management activities such as emptying the bladder or laying down to prevent pressure injuries) (Q12).
Lacking appropriate housing.
Housing for people with SCI are lacking, in particular for young people, for whom neither nursing homes nor assisted living facilities for individuals with learning disabilities are adequate solutions (Q13). Moreover, caregivers who had started to feel the consequences of ageing wondered about who would take on caregiving when they are no longer able to provide the needed care. This worry especially affected caregivers whose care recipient was not accustomed to receiving assistance from homecare providers (Q14). In some cases, this worry was reinforced by bad experiences with nursing care facilities (Q15).
Several participants mentioned the challenges of dealing with the bureaucracy of insurance providers. They mostly complained about the complexity of the reimbursement system (Q16) or the strict rules (e.g., reimbursement for psychological support) (Q17). Some interviewees also stressed how mentally exhausting the process of applying for reimbursement or allowances could be (Q18).
The participants reported that the often very long procedures to define disability benefits left families in limbo and facing financial uncertainty. The situation could be more or less difficult, depending on their financial situation prior to SCI onset and the caregiver’s work situation. Among the participants facing financial difficulty, some decided to continue working even after reaching official retirement age. Among those who were in a comfortable situation, some expressed worry for the future (Q19).
Having to prioritize caregiving over personal wishes.
Some participants acknowledged that caregiving required sacrifice in terms of personal aspirations and freedom (Q20). Some interviewees stated that they had to give up vocational retraining or new professional experiences because these were not compatible with their caregiver role (Q21). Several others reported having to refuse invitations or give up activities when these did not fit with their caregiving schedule. Many caregivers acknowledged that caregiving affected their ability to make spontaneous plans (Q22).
Some caregivers described how they negotiated their workload and tasks (Q23). For example, the fear of mixing the roles of partner and caregiver led to a clear division of tasks: personal care (e.g., bowel management) was delegated to homecare providers, while the partner took on assistance (e.g., mobility). The analysis highlighted that this negotiation is an iterative process and can be triggered by several factors; for example, caregivers might realize that the situation is not sustainable anymore because of ageing, other commitments, or unclear role boundaries (e.g., being caregiver, life partner, and working partner), or care recipients might develop new needs that require new arrangements (Q24).
Caregiving was often perceived as a full-time job, and a major challenge for caregivers was to find time for themselves (Q25). With good organization, it was possible to create free time, but such organization could be demanding. Some caregivers stressed that an activity had to be worthwhile; otherwise, the planning effort exceeded the pleasure (Q26). Furthermore, in many cases this would require the care recipient to accept external support, which was often undesired (Q27).
This study found that SCI caregiving most often begins unexpectedly and is characterized by two phases. The first phase is relatively short and central to becoming a caregiver, and it is marked by challenges related to adjusting to the role of caregiver and embedding this in their lives. The second phase, which is lifelong, is characterized by a number of recurrent challenges related to finding a balance between caregiving and personal life. The challenges related to housing, bureaucracy, and financial issues take place in both phases. Caregivers have to deal with these challenges to stay apprised of life changes (e.g., retirement) and newly emerging needs (e.g., how to deal with ageing in SCI).
These finding have two major implications. First, by describing how family members become caregivers, a time point in which vulnerable caregivers can be identified is suggested. Second, by describing the challenges and their timing, inputs for developing tailored programs and assessing the adequacy of the services available are provided.
In relation to the first point, the “birth” of a caregiver offers the earliest opportunity to identify people in need of support. Indeed, as past research has documented, becoming a caregiver is a turning point in one’s life trajectory [ 22 ], and for relatives, it seems to be less a matter of choice than a matter of responsibility and reciprocity [ 23 , 24 ]. Considering that feelings of control in caregiving relate to caregivers’ wellbeing and that the decision to become a caregiver is an indicator of control [ 25 ], caregivers who choose to take on caregiving might experience higher levels of control than caregivers who “slipped into it”. In addition, research has shown that less control in caregiving is associated with a lower household income, a lower subjective social position, and a higher objective caregiver burden [ 25 ]. Thus, it might be important to assess these factors to identify vulnerable caregivers in a timely manner.
The moment a person becomes a caregiver is a turning point. However, our findings indicate that being a caregiver is more a process than a state. Consequently, caregivers have to find resources throughout their lives to assist the care recipient without jeopardizing their own well-being. In line with earlier research [ 3 , 26 , 27 ], we believe that routine need-and-outcome assessments may be useful. In practice, rehabilitation clinics could offer a “caregiver checkup” in tandem with the checkup offered to the people with SCI. This is in accordance with Chan [ 28 ], who stressed the importance of considering a caregiver and care recipient as a single unit to promote understanding and preparedness post discharge.
During the “caregiver checkup”, caregivers could be screened with regard to the challenges they may be facing and the care recipient’s health status and functional independence, as these are associated with caregiver outcomes [ 29 , 30 ]. Such support might not only benefit caregivers, it could also positively influence the care recipient and the relationship between the two [ 13 , 31 ]. Furthermore, positive caregiver outcomes would ensure the caregiving is sustainable, thereby contributing greatly to the healthcare system.
The findings of this study might also provide an opportunity to check if the services available support caregivers in addressing the challenges they encounter over time. While adjusting to their new role, caregivers often feel unprepared and struggle with shock. Therefore, the effectiveness of educational programs in increasing caregivers’ confidence and competence in providing safe and effective care could be evaluated, as could the services addressing distress [ 32 , 33 ]. Similarly, the adequacy of services to support caregivers in dealing with challenges linked to housing, bureaucracy, financial issues, and balancing caregiving and personal life needs to be assessed. In Switzerland, several services (e.g., homecare providers, respite care) are available, but their use is limited and dependent on the characteristics of both the caregiver and the care recipient [ 2 , 34 ]. In about half of all cases, there seems to be no need of these services; however, sometimes costs, limited flexibility and care receiver’s rejection of external assistance are barriers to using these services [ 2 ].
Furthermore, our findings suggest that the timing of existing services should be considered. Indeed, a limitation is that most of these services, including caregiver education, are offered during or shortly after discharge from acute care or rehabilitation [ 35 ]. For educational programs this is problematic, as receiving too much information at once or at the wrong time might not be helpful [ 36 ] (p.153). Hence, we endorse the suggestion of Graf and colleagues [ 26 ] to offer support at different points in time. Based on the results of a “caregiver checkup”, rehabilitation clinics could identify caregivers in need and direct them to the appropriate services or provide them with tailored information. Linking caregivers to resources would help them find the appropriate support when it was most needed. In this regard, the introduction of case management programs could also help; in a recent study in Switzerland nearly half of the respondents reported that their need for case management was at best partially fulfilled [ 37 ].
This study has some methodological limitations. First, it relied on the memories of participants, who were reporting their (often very long) caregiving experiences. Prospective longitudinal studies could further explore the specific challenges of caregiving directly after first rehabilitation; however, the fact that saturation was reached supports the existence of several shared challenges. Second, the composition of our sample did not allow for performing comparisons among groups (e.g., caregivers with different relationships with the care recipient, male vs female caregivers). It is nonetheless important to notice that in Switzerland caregivers of people with SCI are mostly life partners and female [ 2 ], as in our sample. Finally, some of the challenges presented in this article might be specific to the Swiss context.
The findings of this study suggest that SCI caregivers go through two phases and that their lives are characterized by continuous adjustment to the ever-evolving role of caregiver. Furthermore, describing how family members become caregivers and the challenges they face over time might help improve the societal response to SCI by developing tailored interventions aimed at equipping caregivers with the necessary knowledge and skills. This will not only benefit caregivers, it is also likely to have a positive impact on the care recipient and the relationship between the two. Caring for caregivers is a way of giving back to these family members who support the healthcare system with their often invisible, but extremely valuable, work.
The transcripts of the interviews analyzed in the current study are available from the corresponding author on request. Transcripts will be provided in the original language (mostly German).
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We would like to express our gratitude to the Swiss National Science Foundation for funding this project as well as to the participants for their time and engagement. We also acknowledge the team of the Informal Care Project for their support and Natalie Lustenberger (NL) for her commitment and rigor in the recruitment and data collection as well as in the transcription of the interviews. We are grateful to Lisa Adey, who carefully checked the translation of all quotes from the interviews. Thank you also to the SwiSCI Steering Committee with its members Xavier Jordan, Fabienne Reynard (Clinique Romande de Réadaptation, Sion); Michael Baumberger, Hans Peter Gmünder (Swiss Paraplegic Center, Nottwil); Armin Curt, Martin Schubert (University Clinic Balgrist, Zürich); Margret Hund-Georgiadis, Kerstin Hug (REHAB Basel, Basel); Laurent Prince (Swiss Paraplegic Association, Nottwil); Heidi Hanselmann (Swiss Paraplegic Foundation, Nottwil); Daniel Joggi (Representative of persons with SCI); Nadja Münzel (Parahelp, Nottwil); Mirjam Brach, Gerold Stucki (Swiss Paraplegic Research, Nottwil); Armin Gemperli (SwiSCI Coordination Group at Swiss Paraplegic Research, Nottwil).
This project was supported by the Swiss National Science Foundation [grant number: 160158]. Open Access funding provided by Universität Luzern.
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Claudia Zanini, Julia Amann, Mirjam Brach, Armin Gemperli & Sara Rubinelli
Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
Claudia Zanini, Mirjam Brach, Armin Gemperli & Sara Rubinelli
Department of Health Sciences and Technology, Health Ethics and Policy Lab, ETH, Zurich, Switzerland
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CZ was involved in the design of the study, supervised data collection, conducted data analysis and interpreted the findings, was responsible for drafting, revising, and finalizing the manuscript for submission. JA was involved in interpreting the findings, drawing implications for practice as well as in drafting, revising, and finalizing the manuscript for submission. SR developed the study protocol and contributed to revising the manuscript. AG and MB developed the study protocol, provided feedback, and approved the manuscript draft.
Correspondence to Claudia Zanini .
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Zanini, C., Amann, J., Brach, M. et al. The challenges characterizing the lived experience of caregiving. A qualitative study in the field of spinal cord injury. Spinal Cord 59 , 493–503 (2021). https://doi.org/10.1038/s41393-021-00618-4
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Received : 06 July 2020
Revised : 23 February 2021
Accepted : 24 February 2021
Published : 19 March 2021
Issue Date : May 2021
DOI : https://doi.org/10.1038/s41393-021-00618-4
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