Regression Discontinuity Designs in Health: A Systematic Review.

ABSTRACT:

Background

Regression discontinuity designs are non-randomized study designs that permit strong causal inference with relatively weak assumptions. Interest in these designs is growing but there is limited knowledge of the extent of their application in health. We aimed to conduct a comprehensive systematic review of the use of regression discontinuity designs in health research.

Methods

We included studies that used regression discontinuity designs to investigate the physical or mental health outcomes of any interventions or exposures in any populations. We searched 32 health, social science, and gray literature databases (1 January 1960 to 1 January 2019). We critically appraised studies using eight criteria adapted from the What Works Clearinghouse Standards for regression

SUBMITTER: Hilton Boon M 

PROVIDER: S-EPMC7707156 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature