Evidence map›Paper›PMID 41717358›Full record

ArticleProceedings (Baylor University. Medical Center)

The relationship between hospital case mix, academic affiliation, program size, and American Board of Internal Medicine examination pass rates.

Mohammad Abdulelah, Muhammad Ahmed Khan, Samia Nadeem, Khadir Nassar, Zaid S Khoury, Sara K Aldalki, Mohammad Alshraiedeh, Hussein Abdulelah, Hashim Al-Ani

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Mohammad AbdulelahDepartment of Internal Medicine, University of Massachusetts Chan Medical School-Baystate Medical Center, Springfield, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6983-5749
Muhammad Ahmed KhanDepartment of Internal Medicine, University of Massachusetts Chan Medical School-Baystate Medical Center, Springfield, Massachusetts, USA.
Samia NadeemDepartment of Internal Medicine, University of Massachusetts Chan Medical School-Baystate Medical Center, Springfield, Massachusetts, USA.
Khadir NassarFaculty of Medicine, University of Jordan, Amman, Jordan.
Zaid S KhouryFaculty of Medicine, University of Jordan, Amman, Jordan.
Sara K AldalkiFaculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad AlshraiedehFaculty of Medicine, Yarmouk University, Irbid, Jordan.
Hussein AbdulelahDepartment of Internal Medicine, University of Central Florida College of Medicine - HCA Florida North Florida Hospital, Gainesville, Florida, USA.
Hashim Al-AniDepartment of Internal Medicine, University of Central Florida College of Medicine - HCA Florida North Florida Hospital, Gainesville, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: American Board of Internal Medicine (ABIM) certifying exam pass rates are crucial metrics for internal medicine residency programs, as lower pass rates influence accreditation. Additionally, higher scores correlate with lower hospitalist-specific mortality and readmission rates. Prior research identified associations between pass rates and factors such as US Medical Licensing Examination scores and in-training examination performance. However, little is known about how residency training factors such as hospital patient complexity, academic affiliation, region, and program size affect ABIM pass rates. This study aimed to identify determinants of ABIM pass rates to serve as a reference for residency applicants and residency program leaders. Methods: Data from 550 US internal medicine residency programs were analyzed, incorporating publicly available ABIM pass rates (2022-2024), hospital case mix index (CMI) as a surrogate for patient acuity, academic affiliation, geographic region, and program size. Descriptive and inferential statistics were performed using JASP software. Results: The average ABIM exam pass rate for first-time test takers was 86% (standard deviation 11.7). University-based programs had significantly higher pass rates than community-based and community-based university-affiliated programs (F(2542) = 52.70; Conclusion: Higher patient acuity, university-based affiliation, and larger residency programs significantly correlate with higher ABIM pass rates. These findings provide insights for residency applicants upon selecting training programs. Further research is needed to evaluate these factors in relation to clinical competence.

Indexed as

Board pass ratecase mix indexclinical acuityinternal medicine residency training

Identifiers

PMID41717358
PMCPMC12915863

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.