A quantitative assessment of the frequency and magnitude of heterogeneous treatment effects in studies of the health effects of social policies

Autor: Dakota W. Cintron, Laura M. Gottlieb, Erin Hagan, May Lynn Tan, David Vlahov, M. Maria Glymour, Ellicott C. Matthay
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: SSM: Population Health, Vol 22, Iss , Pp 101352- (2023)
Druh dokumentu: article
ISSN: 2352-8273
DOI: 10.1016/j.ssmph.2023.101352
Popis: Substantial heterogeneity in effects of social policies on health across subgroups may be common, but has not been systematically characterized. Using a sample of 55 contemporary studies on health effects of social policies, we recorded how often heterogeneous treatment effects (HTEs) were assessed, for what subgroups (e.g., male, female), and the subgroup-specific effect estimates expressed as Standardized Mean Differences (SMDs). For each study, outcome, and dimension (e.g., gender), we fit a random-effects meta-analysis. We characterized the magnitude of heterogeneity in policy effects using the standard deviation of the subgroup-specific effect estimates (τ). Among the 44% of studies reporting subgroup-specific estimates, policy effects were generally small ( 0.1 SMDs. For 26% of study-outcome-dimensions, the magnitude of τ indicated that effects of opposite signs were plausible across subgroups. Heterogeneity was more common in policy effects not specified a priori. Our findings suggest social policies commonly have heterogeneous effects on health of different populations; these HTEs may substantially impact disparities. Studies of social policies and health should routinely evaluate HTEs.
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