[Health-related quality of life assessed by EuroQol in caregivers of home care stroke patients]

Health State Utility Values in People With Stroke: A Systematic Review and Meta-Analysis

Background Health state utility values are commonly used to provide summary measures of health-related quality of life in studies of stroke. Contemporaneous summaries are needed as a benchmark to contextualize future observational studies and inform the effectiveness of interventions aimed at improving post-stroke quality of life. Methods and Results We conducted a systematic search of the literature using Medline, EMBASE, and Web of Science from January 1995 until October 2020 using search terms for stroke, health-related quality of life, and indirect health utility metrics. We calculated pooled estimates of health utility values for EQ-5D-3L, EQ-5D-5L, AQoL, HUI2, HUI3, 15D, and SF-6D using random effects models. For the EQ-5D-3L we conducted stratified meta-analyses and meta-regression by key subgroups. We screened 14 251 abstracts and 111 studies met our inclusion criteria (sample size range 11 to 12 447). EQ-5D-3L was reported in 78% of studies (study n=87; patient n=56 976). The pooled estimate for EQ-5D-3L at ≥3 months following stroke was 0.65 (95% CI, 0.63-0.67), which was ≈20% below population norms. There was high heterogeneity (I2>90%) between studies, and estimates differed by study size, case definition of stroke, and country of study. Women, older individuals, those with hemorrhagic stroke, and patients prior to discharge had lower pooled EQ-5D-3L estimates. Conclusions Pooled estimates of health utility for stroke survivors were substantially below population averages. We provide reference values for health utility in stroke to support future clinical and economic studies and identify subgroups with lower healthy utility. Registration URL: https://www.crd.york.ac.uk/prospero/. Unique Identifier: CRD42020215942.

Effect of care manager support on health-related quality of life of caregivers of impaired elderly: one-year longitudinal study

The aim of this study was to identify factors related to the health-related quality of life (HRQOL) of caregivers providing continuing home care for the impaired elderly focusing mainly on care managers' support given to caregivers. Two interviews over a course of 12 months were conducted with 42 caregivers. The questionnaire items for the caregivers included demographic variables, HRQOL, the satisfaction level of care managers, coping ability, and depressive state. For the impaired elderly, the questionnaire items included demographic variables, abilities of activities of daily living, dementia assessment, and depressive state. The mean age of the caregivers was 66.1+/-8.8. By logistic regression analysis with HRQOL as a dependent variable, the caregivers' physical QOL was significantly related to the depressive state of impaired elderly and the caregivers' satisfaction with their care manager, whereas the caregivers' mental QOL was significantly related to the caregivers' sense of coherence and satisfaction with their care manager. These results suggest that the care managers' support to caregivers who provide continuing home care is important for caregivers' HRQOL.

Incorporating carer effects into economic evaluation

BACKGROUND

Despite great interest in the development of methods used in the economic evaluation of health technologies, the effects of carer costs and quality of life (QOL) on the cost effectiveness of treatments has not been widely explored. Yet carer effects are clearly evident in the literature and relevant to the perspective of many published economic evaluations.

OBJECTIVE

To examine whether patient QOL is associated with carer time and carer QOL.

METHODS

We used two datasets to investigate carer effects. Firstly, we used 40,312 cases from the Health Outcomes Data Repository (HODaR) to assess the relationship between patient utility, using the EuroQoL (EQ)-5D, and the number of days care needed from friends and relatives. The stability of the relationship across patient subgroups was assessed by replicating the analysis in ten disease groups. Secondly, we used 64 cases from a study of patients with Alzheimer's disease and their primary carer. These data allowed us to estimate the relationships between patient and carer utility, using the EQ-5D, and patient utility and carer burden using the Community Dementia Quality of Life Profile (CDQLP).

RESULTS

For carer time, a linear model showed that each 0.1-point reduction in patient utility was associated with a 2.5-day increase in carer time over a 6-week period. A more general model, based on EQ-5D domain scores, was better specified and showed that decreased functioning within each domain is associated with increased carer time. Problems with self-care and usual activities have the greatest impact on carer time. These models do not appear to be stable across different disease groups. For carer utility, the relationships between carer and patient utility have low explanatory power and are poorly specified. A clearer relationship is shown between carer burden and utility, such that when sociodemographic covariates are introduced, the relationship reaches conventional levels of statistical significance (p < 0.05).

CONCLUSIONS

The preliminary work described here shows that improving patient QOL may reduce the need for carer time and improve carer QOL. Incorporating such effects into economic evaluations will change cost-per-QALY estimates, with the size of reduction dependent on the domains of health affected by treatment. Clinical studies need to capture carer data so that we can better understand these effects, and how they impact on economic evaluation.