The Scope of Social Mission Content in Health Professions Education Accreditation Standards
Bibliographic record
Abstract
PURPOSE: Health professions education accreditation standards influence institutional practices and policies and ensure high-quality education that meets the needs of patients and society. Social mission is the contribution of a school in its mission, programs, and the performance of its graduates, faculty, and leadership to advancing health equity and addressing the health disparities of the society in which it exists. This study examined the scope of social mission content in major U.S. and Canadian health professions education accreditation standards. METHOD: The authors analyzed publicly available accreditation standards documents from 9 accreditors across 5 disciplines-dental, medical, nursing, pharmacy, and physician assistant schools-with effective years from 2016 to 2020. They created a codebook from the previously published social mission metrics survey, which includes 18 social mission activity areas and 79 indicators within those areas. The authors then conducted detailed document reviews to identify the presence of the social mission areas and indicators within the accreditation standards. RESULTS: Across all 18 activity areas and 9 accreditors, the authors identified 93 instances of social mission. Curriculum was the most well-represented area with 34 instances. Interprofessional education in curriculum was the most prevalent indicator with 17 instances. The Committee on Accreditation of Canadian Medical Schools included more social mission areas and indicators than the other accreditors. CONCLUSIONS: There is substantial variability in the social mission content in accreditation standards across accreditors and disciplines. The authors found little representation of key aspects of social mission, including community collaborations, faculty training, and pipeline programs. These findings highlight areas of potential interdisciplinary collaboration to enhance the social mission content of health professions education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.051 | 0.176 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".