Evidence map›Paper›PMID 42091793›Full record

ArticleJournal of general internal medicine2026

Transparency of Alpha Omega Alpha Selection Processes and Bias Mitigation Across US Medical Schools: A Cross-Sectional Mixed Methods Study.

Christine C Cheston, Neeharika Chanda, Sorraya Jaiprasert, Liam F Keohane

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Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Christine C ChestonBoston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. christine.cheston@bmc.org.ORCID http://orcid.org/0000-0002-9754-3372
Neeharika ChandaVanderbilt University School of Medicine, Nashville, TN, USA.ORCID http://orcid.org/0009-0003-9312-0764
Sorraya JaiprasertDepartment of Pediatrics, Boston Medical Center Health System, Boston, MA, USA.ORCID http://orcid.org/0009-0004-2813-7137
Liam F KeohaneDepartment of Pediatrics, Boston Medical Center Health System, Boston, MA, USA. liam.keohane@bmc.org.ORCID http://orcid.org/0009-0007-5302-0696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMembership in the Alpha Omega Alpha (AOA) honor society has long-term professional benefits, including improved match outcomes, yet racial and socioeconomic disparities in membership are well-documented. AOA selection processes across schools lack standardization, complicating understanding of the meaning of membership.

objectiveTo analyze transparency and methodology of AOA selection processes nationally and describe chapters' acknowledgement of potential for bias.

designResearchers performed a mixed methods cross-sectional study of medical school websites describing AOA chapter eligibility and selection in the United States (US) from October 2023 to April 2024. Descriptive statistics were generated to characterize quantitative data, and thematic analysis was performed to identify patterns within extracted quotes. SUBJECTS: LCME-accredited, MD-granting medical schools in the US. APPROACH: Researchers iteratively refined a data extraction form focused on AOA chapter status, eligibility and selection criteria, and quotes acknowledging potential for bias. Both thematic and content analyses were used with extracted quotes, while descriptive statistics were calculated for quantitative data.  KEY

resultsOf 157 medical schools nationally, 131 (83%) had an active AOA chapter. Of these, 98 (75%) referenced eligibility and/or selection procedures. Personal characteristics (55%), review of accomplishments (51%), and an academic cut-off (18%) were the most common selection criteria. Twenty-seven schools (17% of all schools, including four with recently closed chapters) acknowledged potential for bias, and eight themes were generated to characterize bias acknowledgement.

conclusionsMost medical school websites described AOA evaluation methods, which were variable across schools. Few schools acknowledged potential for bias. Given these findings, future studies should explore the current interpretation of AOA membership with emphasis on bias mitigation at the residency level and beyond. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Alpha Omega Alphabiasdisparitiesmedical educationmedical schoolsresidency selection

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