Institutional characteristics associated with meeting the proficiency benchmark in Brazil’s National Medical Education Assessment (ENAMED): a nationwide Bayesian hierarchical analysis
Open accessAbstract
Abstract Background Brazil’s medical education system has expanded at unprecedented pacing, largely propelled by policies meant to increase the physician workforce and reduce regional inequities. This expansion succeeded in scale, but it reignited an old question: are we expanding training capacity or expanding diplomas? In 2025, Brazil introduced the National Medical Education Assessment Examination (ENAMED), a regulatory instrument grounded in a simple principle: programs should be judged, and effectively ranked, by the proportion of graduating students who meet a defined minimum standard of professional proficiency (knowledge-based), rather than by mean scores alone. Here, we evaluated institutional and structural determinants of ENAMED performance, focusing on the system’s ability to guarantee minimum proficiency across medical schools amid recent expansion patterns. Methods We conducted a nationwide retrospective observational analysis linking ENAMED-2025 results to institutional and regulatory characteristics of medical programs. Our outcome was systemic assurance of minimum proficiency, defined as meeting a regulatory benchmark in which ≥ 60% of graduates are classified as proficient. We fit hierarchical Bayesian models estimating each program’s posterior probability of meeting this benchmark, accounting for course size and geographic clustering (state and municipality). Results ENAMED revealed pronounced heterogeneity in the probability of meeting the minimum proficiency benchmark across institutional segments. Federal and state public medical schools had the highest assurance, followed by community-based institutions. Private programs, especially for-profit schools, showed substantially lower probabilities of meeting the benchmark. Programs created during the most recent waves of expansion and those with larger volumes of authorized enrollments consistently exhibited weaker assurance. Independently, greater enrollment capacity was associated with lower probability of achieving the ≥ 60% proficiency threshold, with the steepest gradient observed among for-profit institutions. Conclusions ENAMED’s signal is strongly shaped by institutional design and conditions under which expansion occurred, far more than by chance variation. By privileging the share of graduates who reach a minimum proficiency standard, ENAMED shifts regulation from “average performance” to “minimum guarantees,” offering a more defensible lens for accountability in medical education. Its promise, however, depends on policy responses that strengthen academic governance, clinical training capacity, and faculty support, rather than short-term, reactive strategies aimed at gaming exam performance.
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.
Integrity signals
Registry
Cites
Statistics
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 14
- Authors
- Andrade, B. B., Villalva-Serra, K., Menezes, R. C., Brito, Q. H., Quintanilha, L. F., & Avena, K. M.
- Affiliations
- Instituto Gonçalo Moniz (BR)
- Universidade Salvador (BR)
- Venue
- BMC Medical Education
- Published
- 2026-10-10
- ISSN
- 1472-6920 (ISSN-L)
- OpenAlex
- W7134889361
- Cited by
- 0
- References
- 14
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Medical Education (publishedVersion, cc-by-nc-nd)
- Research Square (acceptedVersion, cc-by)
- Funders
- Fundação Oswaldo Cruz (Intramural Research Program)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Health and Medical Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
- Keywords
- medical school accreditation, medical education regulation, medical school expansion, private medical schools, public medical schools, enrollment capacity, Brazil
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