Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 40

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

The Associations Between United States Medical Licensing Examination Performance and Outcomes of Patient Care

Norcini, John, Grabovsky, Irina, Barone, Michael A, Anderson, M Brownell, Pandian, Ravi S, Mechaber, Alex J·2024·Academic Medicine

Abstract

Purpose: The United States Medical Licensing Examination (USMLE) comprises a series of assessments required for the licensure of U.S. MD-trained graduates as well as those who are trained internationally. Demonstration of a relationship between these examinations and outcomes of care is desirable for a process seeking to provide patients with safe and effective health care. Method: This was a retrospective cohort study of 196,881 hospitalizations in Pennsylvania over a 3-year period (January 1, 2017 to December 31, 2019) for 5 primary diagnoses: heart failure, acute myocardial infarction, stroke, pneumonia, or chronic obstructive pulmonary disease. The 1,765 attending physicians for these hospitalizations self-identified as family physicians or general internists. A converted score based on USMLE Step 1, Step 2 Clinical Knowledge, and Step 3 scores was available, and the outcome measures were in-hospital mortality and log length of stay (LOS). The research team controlled for characteristics of patients, hospitals, and physicians. Results: For in-hospital mortality, the adjusted odds ratio was 0.94 (95% confidence interval [CI] = 0.90, 0.99; P < .02). Each standard deviation increase in the converted score was associated with a 5.51% reduction in the odds of in-hospital mortality. For log LOS, the adjusted estimate was 0.99 (95% CI = 0.98, 0.99; P < .001). Each standard deviation increase in the converted score was associated with a 1.34% reduction in log LOS. Conclusions: Better provider USMLE performance was associated with lower in-hospital mortality and shorter log LOS for patients, although the magnitude of the latter is unlikely to be of practical significance. These findings add to the body of evidence that examines the validity of the USMLE licensure program.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/acm.0000000000005480

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 18 references

Research works printed but not linked: 3

  1. Barone, Summary report and preliminary recommendations from the Invitational Conference on USMLE Scoring (InCUS), March 11–12, 2019
  2. Moore, 2021, Introduction to the Practice of Statistics
  3. Kane, 2006, Educational Measurement, 17

Cited by

Metadata

Authors
Norcini, J., Grabovsky, I., Barone, M. A., Anderson, M. B., Pandian, R. S., & Mechaber, A. J.
Venue
Academic Medicine
Published
2023-10-09
Volume
99
Issue
3
Pages
325-330
ISSN
  • 1040-2446
  • 1938-808X
Cited by
40
References
18
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.