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

Spillover Effects of Mental Health Disorders on Family Members' Health-Related Quality of Life: Evidence from a US Sample
复制标题

DOI:
10.1177/0272989x211027146
复制
发表时间:
2021-08-11
影响因子:
3.6
通讯作者:
Devine, Beth
Devine, Beth
中科院分区:
医学3区
文献类型:
--
作者:
Lee, Donghoon;Kim, Yeonil;Devine, Beth

文献摘要

被引文献

相似文献

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.