Journal article

Regression Discontinuity Designs in Health A Systematic Review

Michele Hilton Boon, Peter Craig, Hilary Thomson, Mhairi Campbell, Laurence Moore



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 ..

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Awarded by Medical Research Council

Awarded by Scottish Government Chief Scientist Office

Funding Acknowledgements

This work was supported by the Medical Research Council (core funding grant numbers MC_UU_12017/14 for L.M.; MC_UU_12017/15 for P.C., H.T., M.C., and M.H.B.; doctoral studentship 1517742 to M.H.B.) and the Scottish Government Chief Scientist Office (SPHSU14 to L.M.; SPHSU15 to P.C., H.T., M.C., and M.H.B.). The funding body had no input into the design of the study, the collection, analysis, or interpretation of data, or the writing of the manuscript.