Evidence map›Paper›PMID 24556772›Full record

ArticleAcademic medicine : journal of the Association of American Medical Colleges2014

Assessing the effects of the 2003 resident duty hours reform on internal medicine board scores.

Jeffrey H Silber, Patrick S Romano, Kamal M F Itani, Amy K Rosen, Dylan Small, Rebecca S Lipner, Charles L Bosk, Yanli Wang, Michael J Halenar, Sophia Korovaichuk and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Academic medicine : journal of the Association of American Medical Colleges, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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4 · The record

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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

12 authors.

Jeffrey H SilberDr. Silber is professor, Departments of Pediatrics and Anesthesiology & Critical Care, Perelman School of Medicine; professor, Department of Health Care Management, The Wharton School; director, Center for Outcomes Research, The Children's Hospital of Philadelphia; and senior fellow, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania. Dr. Romano is professor of medicine and pediatrics and director, Primary Care Outcomes Research Faculty Development Program, Division of General Medicine and Center for Healthcare Policy and Research, University of California Davis School of Medicine, Sacramento, California. Dr. Itani is professor, Department of Surgery, Boston University School of Medicine, and chief of surgery, VA Boston Health Care System and Boston University, Boston, Massachusetts. Dr. Rosen is professor, Department of Health Policy and Management, Boston University School of Public Health, affiliated with the Center for Organization, Leadership and Management Research, VA Boston Healthcare System, Boston, Massachusetts. Dr. Small is associate professor, Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania. Dr. Lipner is senior vice president of evaluation, research and development, American Board of Internal Medicine, Philadelphia, Pennsylvania. Dr. Bosk is professor, Departments of Sociology and Medical Ethics & Health Policy, and senior fellow, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania. Ms. Wang is a statistical programmer, Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Mr. Halenar is a research assistant, Center for Health Equity Research and Promotion, Veteran's Administration Hospital, Philadelphia, Pennsylvania. Ms. Korovaichuk is a research assistant, Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Ms.
Patrick S Romano
Kamal M F Itani
Amy K Rosen
Dylan Small
Rebecca S Lipner
Charles L Bosk
Yanli Wang
Michael J Halenar
Sophia Korovaichuk
Orit Even-Shoshan
Kevin G Volpp

Funding

Impact of resident work hour rules on errors and qualityR01HL082637 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI VOLPP, KEVIN G · 2005 to 2007
$1.6M
NHLBI NIH HHS R01 HL082637
6 · The paper itself

Abstract

purposeTo determine whether the 2003 Accreditation Council for Graduate Medical Education (ACGME) duty hours reform affected medical knowledge as reflected by written board scores for internal medicine (IM) residents.

methodThe authors conducted a retrospective cohort analysis of postgraduate year 1 (PGY-1) Internal Medicine residents who started training before and after the 2003 duty hour reform using a merged data set of American Board of Internal Medicine (ABIM) Board examination and the National Board of Medical Examiners (NMBE) United States Medical Licensing Examination (USMLE) Step 2 Clinical Knowledge test scores. Specifically, using four regression models, the authors compared IM residents beginning PGY-1 training in 2000 and completing training unexposed to the 2003 duty hours reform (PGY-1 2000 cohort, n = 5,475) to PGY-1 cohorts starting in 2001 through 2005 (n = 28,008), all with some exposure to the reform.

resultsThe mean ABIM board score for the unexposed PGY-1 2000 cohort (n = 5,475) was 491, SD = 85. Adjusting for demographics, program, and USMLE Step 2 exam score, the mean differences (95% CI) in ABIM board scores between the PGY-1 2001, 2002, 2003, 2004 and 2005 cohorts minus the PGY-1 2000 cohort were -5.43 (-7.63, -3.23), -3.44 (-5.65, -1.24), 2.58 (0.36, 4.79), 11.10 (8.88, 13.33) and 11.28 (8.98, 13.58) points respectively. None of these differences exceeded one-fifth of an SD in ABIM board scores.

conclusionsThe duty hours reforms of 2003 did not meaningfully affect medical knowledge as measured by scores on the ABIM board examinations.

Indexed as

AccreditationWork Schedule ToleranceAdultClinical CompetenceCohort StudiesEducation, Medical, GraduateFemaleHealth Care ReformHumansInternal MedicineInternship and ResidencyMaleRetrospective StudiesSpecialty BoardsUnited StatesWorkload

Identifiers

PMID24556772
PMCPMC4139168

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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.