Evidence map›Paper›PMID 28833067›Full record

Trial reportHealth services research2018

Estimation of Population Average Treatment Effects in the FIRST Trial: Application of a Propensity Score-Based Stratification Approach.

Jeanette W Chung, Karl Y Bilimoria, Jonah J Stulberg, Christopher M Quinn, Larry V Hedges

Abstract readPragmatic Clinical TrialRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeanette W ChungDepartment of Surgery, Surgical Outcomes and Quality Improvement Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.ORCID 0000-0002-9015-4622
Karl Y BilimoriaDepartment of Surgery, Surgical Outcomes and Quality Improvement Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Jonah J StulbergDepartment of Surgery, Surgical Outcomes and Quality Improvement Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Christopher M QuinnDepartment of Surgery, Surgical Outcomes and Quality Improvement Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Larry V HedgesDepartment of Statistics, Department of Psychology, Department of Medical Social Sciences, School of Education and Social Policy, Institute for Policy Research, Northwestern University, Evanston, IL.

Funding

Accreditation Council for Graduate Medical Education (ACGME)American Board of Surgery (ABS)American College of Surgeons (ACS)Department of Surgery, Feinberg School of Medicine, Northwestern University
6 · The paper itself

Abstract

objective/study questionTo estimate and compare sample average treatment effects (SATE) and population average treatment effects (PATE) 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 ("FIRST Trial"). DATA SOURCES/STUDY

settingSecondary data from the National Surgical Quality Improvement Program and the FIRST Trial (2014-2015). STUDY

designThe FIRST 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 SATE of a policy change on outcomes within an intent-to-treat framework. Propensity score-based poststratification was used to estimate PATE. DATA COLLECTION/EXTRACTION

methodsThis study was a secondary analysis of previously collected data. PRINCIPAL

findingsAlthough SATE estimates suggested noninferiority of outcomes under flexible duty hour policy versus standard policy, the noninferiority of a policy change was inconclusively noninferior based on PATE estimates due to imprecision.

conclusionsPropensity score-based poststratification can be valuable tools to address trial generalizability but may yield imprecise estimates of PATE when sparse strata exist.

Indexed as

Organizational InnovationPolicy MakingPropensity ScoreGeneral SurgeryHumansInternship and ResidencyWorkloadgeneralizabilitymedical educationpropensity score methodsResident duty hourssurgical outcomes

Identifiers

PMID28833067
PMCPMC6051989

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.