The Impact of Caregiving

Abstract This thesis studied methods that facilitate the inclusion of informal care in economic evaluations of health care programmes. Economic evaluations that include informal care inform policy makers about the broader impact of interventions in society, and help them to allocate public budgets more efficientl

The monetary value of informal care: obtaining pure time valuations using a Discrete Choice Experiment

Background Interventions in health care often not only have an efect on patients, but also on their informal caregivers. Caregiving can have a profound impact on the health and wellbeing of carers. Ignoring these spillovers in economic evaluations risks labelling interventions mistakenly as cost-efective, at the expense of informal caregivers. Objective This paper investigates willingness-to-accept (WTA) values for an hour of informal care, corrected for positive and negative impacts of informal care, to facilitate the inclusion of informal care hours on the cost side of economic evaluations without double-counting spillover efects. Methods A discrete choice experiment (DCE) was conducted among a representative sample of the adult population in the Netherlands (n=552) in September 2011. An experimental design minimizing the D-error was used to construct choice sets with two unlabelled alternatives with the attributes ‘hours caregiving’, ‘monetary compensation for caregiving’ and seven impacts of caregiving. To operationalize the random utility model, we used a panel mixed multinomial logit (MMNL) parameter model. For calculation of WTA, we used both population-level parameters and individual-level parameters. Results The mean WTA for an additional hour of informal care, corrected for positive and negative impacts of informal care, was €14.57. The signs of the coefcients were all in the expected directions. Conclusions This study reports a preference-based monetary value for informal care, corrected for other impacts. This valuation facilitates the inclusion of informal care hours on the cost side in economic evaluations without double-counting any spillover efects included on the efects side

Measuring the impact of caregiving on informal carers: a construct validation study of the CarerQol instrument

__Abstract__ __Background:__ Informal caregivers provide a significant part of the total care needed by ill or disabled persons. Although informal care is often the preferred option of those who provide and those who receive informal care, caring can nevertheless be very straining. This study investigates construct validation of an instrument of the impact of caregiving, the CarerQol. __Methods:__ Data was collected among adult caregivers (n = 1,244) selected from the general population using an online questionnaire in October 2010, in the Netherlands. The CarerQol measures and values the impact of informal care. The CarerQol measures subjective burden (CarerQol-7D) and well-being (CarerQol-VAS). Construct validation comprised clinical, convergent and discriminative validity tests. __Results:__ Clinical validity was supported by statistically significant associations of CarerQol-VAS and caregivers’ health, income and employment status, care recipients’ health, and the relationship between caregiver and care recipient. Convergent validity was supported by positive associations of CarerQol-VAS with the two positive CarerQol-7D dimensions (fulfillment and support) and negative associations with the five negative CarerQol-7D dimensions (relational problems, mental health problems, problems combining daily activities, financial problems and physical health problems). Moreover, CarerQol-VAS was negatively associated with other instruments measuring caregiving burden. __Conclusions:__ Construct validity tests in a large, heterogeneous sample of caregivers show that the CarerQol validly measures the

Measuring care-related quality of life of caregivers for use in economic evaluations

__Background__ Informal care is often not included in economic evaluations in healthcare, while the impact of caregiving can be relevant for cost-effectiveness recommendations from a societal perspective. The impact of informal care can be measured and valued with the CarerQol instrument, which measures the impact of informal care on seven important burden dimensions (CarerQol-7D) and values this in terms of general quality of life (CarerQol-VAS). The CarerQol can be included at the effect side of multi-criteria analyses of patient interventions or in cost-effectiveness or utility analysis of interventions targeted at caregivers. __Objective__ At present, utility scores based on relative utility weights for the CarerQol-7D are only available for the Netherlands. This study calculates CarerQol-7D tariffs for Australia, Germany, Sweden, UK, and US. __Methods__ Data were collected among the general population in Australia, Germany, Sweden, UK, and US by an Internet survey. Utility weights were collected with a discrete choice experiment with two unlabeled alternatives described in terms of the seven CarerQol-7D dimensions. An efficient experimental design with priors obtained from the Netherlands was used to create the choice sets. Data was analyzed with a panel mixed multinomial logit model with random parameters. __Results__ In all five countries, the CarerQol-7D dimensions were significantly associated with the utility of informal care situations. Physical health problems were most strongly associated with the utility for informal care situations. The tariff was constructed by adding up the relative utility weights per category of all CarerQol-7D dimensions for each country separately. __Conclusion__ The CarerQol tariffs for Australia, Germany, Sweden, UK, and US facilitate the inclusion of informal care in economic evaluations

The monetary value of informal care: obtaining pure time valuations using a Discrete Choice Experiment

__Background__ Interventions in health care often not only have an efect on patients, but also on their informal caregivers. Caregiving can have a profound impact on the health and wellbeing of carers. Ignoring these spillovers in economic evaluations risks labelling interventions mistakenly as cost-efective, at the expense of informal caregivers. __Objective__ This paper investigates willingness-to-accept (WTA) values for an hour of informal care, corrected for positive and negative impacts of informal care, to facilitate the inclusion of informal care hours on the cost side of economic evaluations without double-counting spillover efects. __Methods__ A discrete choice experiment (DCE) was conducted among a representative sample of the adult population in the Netherlands (n=552) in September 2011. An experimental design minimizing the D-error was used to construct choice sets with two unlabelled alternatives with the attributes ‘hours caregiving’, ‘monetary compensation for caregiving’ and seven impacts of caregiving. To operationalize the random utility model, we used a panel mixed multinomial logit (MMNL) parameter model. For calculation of WTA, we used both population-level parameters and individual-level parameters. __Results__ The mean WTA for an additional hour of informal care, corrected for positive and negative impacts of informal care, was €14.57. The signs of the coefcients were all in the expected directions. __Conclusions__ This study reports a preference-based monetary value for informal care, corrected for other impacts. This valuation facilitates the inclusion of informal care hours on the cost side in economic evaluations without double-counting any spillover efects included on the efects side

Measuring carer outcomes in an economic evaluation: A content comparison of the Adult Social Care Outcomes Toolkit for Carers, Carer Experience Scale and Care-related Quality of Life using exploratory factor analysis

Background. To incorporate the spillover effects experienced by carers providing informal care in health policy decisions, new carer-related preference-based measures have been developed for use in economic evaluation, which include the Adult Social Care Outcomes Toolkit for Carers (ASCOT-Carer), Carer Experience Scale (CES), and Care-Related Quality of Life (CarerQoL). The aim of this study was to investigate the extent to which these 3 instruments measure complementary or overlapping constructs. Methods. Data were derived from an online survey undertaken with carers residing in Australia. An exploratory factor analysis was conducted to ascertain the underlying latent constructs of the 3 measures. Results. Data from 351 informal carers yielded a 5-factor model describing general quality of life outside caring, problems due to caring, fulfilment from caring, social support with caring, and relationship with the care recipient. Most of the ASCOT-Carer and the CarerQol items loaded onto the first and second factors, respectively. The greatest overlap was observed between CarerQol and CES items loading onto the other 3 shared common factors. Limitations. Online data collection resulted in inconsistent responses, which had to be removed to yield logical data. A convenience sampling approach may have compromised the generalizability of study findings. Conclusion. Although some overlap was observed, the 3 carer-related preference-based measures seem to tap into different constructs of carer-related quality of life and caring experiences and cannot be used interchangeably

Views of older people in the Netherlands on wellbeing: A Q-methodology study

Population ageing and restricted budgets result in the need for an efficient allocation of scarce resources in care services for older people. As these services tend to address more than only health, diverse wellbeing measures have been developed to assess their benefits in economic evaluations. These measures are grounded in research on wellbeing of older people and its determinants. Little is known about possible heterogeneity in this context and the extent to which wellbeing measures cover the aspects of wellbeing that are most important to older people with different views on wellbeing. We conducted a Q-methodology study between December 2016 and October 2017 to investigate the variety in views among people aged 65 and older in the Netherlands on what is important to their wellbeing. A purposive sample of 53 respondents ranked 34 opinion statements according to importance to their wellbeing and explained their ranking during a follow-up interview. Data were analysed using by-person factor analysis to identify common patterns in the rankings of the statements. Five distinct views were extracted in which different aspects were considered important: (I) health, financial security and a li

Estimating Informal Caregiving Time from Patient EQ-5D Data: The Informal CARE Effect (iCARE) Tool

Background: Families and friends provide a considerable proportion of care for patients and elderly people. Caregiving can have substantial effects on caregivers’ lives, health, and well-being. However, because clinical trials rarely assess these effects, no information on caregiver burden is available when evaluating the cost effectiveness of treatments. Objective: This study develops an algorithm for estimating caregiver time using information that is typically available in clinical trials: the EQ-5D scores of patients and their gender. Methods: Four datasets with a total of 8012 observations of dyads of caregivers and a gamma model with a log-link estimated with the Bayesian approach were used to estimate the statistical association between patient scores on the EQ-5D-3L dimensions and the numbers of hours of care provided by caregivers during the previous week. The model predicts hours of care as mean point estimates with 95% credible intervals or entire distributions. Results: Model predictions of hours of care based on the five EQ-5D dimensions ranged from 13.06 (12.7–14.5) h/week for female patients reporting no health problems but receiving informal care to 52.82 (39.38–66.26) for male patients with the highest level of problems on all EQ-5D dimensions. Conclusions: The iCARE algorithm developed in this study allows researchers who only have patient-level EQ-5D data to estimate the mean hours of informal care received per week, including a 95% Bayesian credible interval. Caregiver time can be multiplied with a monetary value for caregiving, enabling the inclusion of informal care costs in economic evaluations. We recommend using the tool for samples that fall within the confidence intervals of the characteristics of our samples: men (age range 47.0–104.2 years), women (age range 55–103 years)

Positive and negative impacts of caring among adolescents caring for grandparents. Results from an online survey in six European countries and implications for future research, policy and practice

Although up to 8% of European youngsters carry out high-intensity care for a family member, adolescent young carers (AYCs), especially those caring for their grandparents (GrPs), remain an under-researched group. This study aimed at addressing the current knowledge gap by carrying out an online survey in Italy, the Netherlands, Slovenia, Sweden, Switzerland, and the United Kingdom. The analysis included a final sample of 817 AYCs aged 15–17 years old. AYCs of grandparents (GrPs) were compared to AYCs of other care recipients (OCRs), in order to identify any difference in positive and negative caregiving outcomes and exposure factors between the two groups. Linear or logistic regression models were built, and multivariate analyses were repeated, including a fixed effect on the country variable. AYCs of GrPs experienced more positive caregiving outcomes than AYCs of OCRs across all six countries. Being female or non-binary, and having a migration background, were associated with more negative outcomes, regardless of the relationship with the care recipient. Further research on intergenerational caregiving outcomes is recommended for shaping measures and policies, which preserve the intergenerational emotional bonds, whilst protecting AYCs from inappropriate responsibilities, undermining their mental health and well-being