Spillover Effects on Caregivers’ and Family Members’ Utility: A Systematic Review of the Literature

The illness of a spouse can affect the health of a caregiving partner. We examined the association between the hospitalization of a spouse and a partner's risk of death among elderly people. We studied 518,240 couples who were enrolled in Medicare in 1993. We used Cox regression analysis and fixed-effects (case-time-control) methods to assess hospitalizations and deaths during nine years of follow-up. Overall, 383,480 husbands (74 percent) and 347,269 wives (67 percent) were hospitalized at least once, and 252,557 husbands (49 percent) and 156,004 wives (30 percent) died. Mortality after the hospitalization of a spouse varied according to the spouse's diagnosis. Among men, 6.4 percent died within a year after a spouse's hospitalization for colon cancer, 6.9 percent after a spouse's hospitalization for stroke, 7.5 percent after a spouse's hospitalization for psychiatric disease, and 8.6 percent after a spouse's hospitalization for dementia. Among women, 3.0 percent died within a year after a spouse's hospitalization for colon cancer, 3.7 percent after a spouse's hospitalization for stroke, 5.7 percent after a spouse's hospitalization for psychiatric disease, and 5.0 percent after a spouse's hospitalization for dementia. After adjustment for measured covariates, the risk of death for men was not significantly higher after a spouse's hospitalization for colon cancer (hazard ratio, 1.02; 95 percent confidence interval, 0.95 to 1.09) but was higher after hospitalization for stroke (hazard ratio, 1.06; 95 percent confidence interval, 1.03 to 1.09), congestive heart failure (hazard ratio, 1.12; 95 percent confidence interval, 1.07 to 1.16), hip fracture (hazard ratio, 1.15; 95 percent confidence interval, 1.11 to 1.18), psychiatric disease (hazard ratio, 1.19; 95 percent confidence interval, 1.12 to 1.26), or dementia (hazard ratio, 1.22; 95 percent confidence interval, 1.12 to 1.32). For women, the various risks of death after a spouse's hospitalization were similar. Overall, for men, the risk of death associated with a spouse's hospitalization was 22 percent of that associated with a spouse's death (95 percent confidence interval, 17 to 27 percent); for women, the risk was 16 percent of that associated with death (95 percent confidence interval, 8 to 24 percent). Among elderly people hospitalization of a spouse is associated with an increased risk of death, and the effect of the illness of a spouse varies among diagnoses. Such interpersonal health effects have clinical and policy implications for the care of patients and their families. Copyright 2006 Massachusetts Medical Society.

Parkinson's disease (PD) is a neurodegenerative disorder that imposes an important burden upon the patient's caregiver. This study aims at assessing caregiver burden (CB) and analyzing its relationship with sociodemographic, emotional, and functional factors, as well as health-related quality of life (HRQoL). The following measures were applied to 80 patients with PD: the Hospital Anxiety and Depression Scale (HADS); the EuroQoL (for HRQoL); and PD-specific measures (Hoehn and Yahr staging and SCOPA-Motor ADL subscale). Patients' main caregivers completed the HADS, SF-36, EuroQoL, and Zarit CB Inventory (ZCBI). The ZCBI was found to be a valid and reliable measure in the context of PD. There was a significant association between CB and caregivers' HRQoL (r = -0.29 to -0.64). Mental aspects of caregivers' HRQoL and burden were affected by disability and disease severity. The presence of caregivers' depression had a significant negative effect on both CB and HRQoL. The main predictors of CB were caregivers' psychological well-being, patients' mood and clinical aspects of PD (disability and severity), and HRQoL of patients and caregivers. This study underscores the need to consider the impact of PD on caregivers' well-being. (c) 2007 Movement Disorder Society.

Economic evaluations of health interventions aim to support decision making in healthcare. To effectively do so, evaluations need to include all relevant costs and effects of an intervention. Informal care provided by family or friends is an important element of care for many patients, but can have a profound impact on the health and well-being of carers. Therefore, informal care should be considered in economic evaluations of health interventions. Different methods to do so exist. This paper provides an overview of state-of-the-art methods available for this purpose, illustrated with practical examples. Since the choice of measurement and valuation technique depends on the type and perspective of the economic evaluation, this paper supports researchers in choosing the appropriate techniques to include informal care in their economic evaluation of a health intervention. We discuss the different approaches to measuring and valuing informal care, covering both partial and full valuation methods, allowing inclusion as costs or effects.