Spillover Effects of Mental Health Disorders on Family Members’ Health-Related Quality of Life: Evidence from a US Sample

Donghoon Lee, Yeonil Kim and Beth Devine
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Donghoon Lee: Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
Yeonil Kim: Merck Research Laboratories, Merck & Co Inc, Rahway, NJ, USA
Beth Devine: Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA

Medical Decision Making, 2022, vol. 42, issue 1, 80-93

Abstract: Objectives This study aims to characterize the spillover effects of selected mental health disorders (episodic mood disorder (EMD), anxiety, substance use disorder (SUD), schizophrenia, attention-deficit/hyperactivity disorder (ADHD), and dementia) on family members’ health-related quality of life and to compare the magnitude of spillover effects across these types. Methods Using the 2000–2015 Medical Expenditure Panel Survey, households having individuals with mental health disorders were identified. The SF-12 and EQ-5D surveys were used to acquire utility and health status scores for household members. The outcomes in households including an individual with a mental health disorder were compared to those of the control group (absence of individuals with mental health disorders in the household). We also compared a total of 15 pairs of diseases based on the SF-6D scores. A beta generalized estimating equation model was employed. Results Average scores of utility and health status among individuals living with a member with a mental health disorder in the household were statistically lower than those of the control group and; for the SF-6D, met the minimally important difference for SUD, schizophrenia, and dementia. Differences in the SF-6D scores were statistically significant for 5 pairs of the mental health disorders: EMD–anxiety, EMD–ADHD, dementia–anxiety, dementia–ADHD, and schizophrenia–ADHD. Conclusions This study provides evidence of family spillover effects in mental illness using both utility and health status measures from a US representative sample. Integrating this evidence into clinical and policy decision making as well as economic evaluations would allow for a more comprehensive valuation of the societal benefits of mental and behavioral health interventions.

Keywords: beta regression; cost-effectiveness analysis; health-related quality of life; marginal model (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:42:y:2022:i:1:p:80-93

DOI: 10.1177/0272989X211027146

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