Jeanette W. Chung, Karl Y. Bilimoria, Jonah J. Stulberg M.D., Ph.D., M.P.H., Christopher M. Quinn M.S., Larry V. Hedges Ph.D.
To estimate and compare sample average treatment effects () and population average treatment effects () of a resident duty hour policy change on patient and resident outcomes using data from the Flexibility in Duty Hour Requirements for Surgical Trainees Trial (“ Trial”).
Secondary data from the National Surgical Quality Improvement Program and the Trial (2014–2015).
The Trial was a cluster‐randomized pragmatic noninferiority trial designed to evaluate the effects of a resident work hour policy change to permit greater flexibility in scheduling on patient and resident outcomes. We estimated hierarchical logistic regression models to estimate the of a policy change on outcomes within an intent‐to‐treat framework. Propensity score‐based poststratification was used to estimate .
Data Sources/Study Setting
This study was a secondary analysis of previously collected data.
Although estimates suggested noninferiority of outcomes under flexible duty hour policy versus standard policy, the noninferiority of a policy change was based on estimates due to imprecision.
Propensity score‐based poststratification can be valuable tools to address trial generalizability but may yield imprecise estimates of when sparse strata exist.
Data Collection/Extraction Methods