Institutional Characteristics Influencing Medical Student Selection of Primary Care Careers: A Narrative Review and Synthesis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: There is an ongoing shortage of primary care physicians in the United States. Medical schools are under pressure to address this threat to the nation's health by producing more primary care graduates, including family physicians. Our objective was to identify institutional characteristics associated with more medical students choosing primary care. METHODS: We conducted a systematic literature review with narrative synthesis to identify medical school characteristics associated with increased numbers or proportions of primary care graduates. We included peer-reviewed, published research from the United States, Canada, Australia, and New Zealand. The existing literature on characteristics, including institutional geography, funding and governance, mission, and research emphasis, was analyzed and synthesized into summary statements. RESULTS: Ensuring a strong standing of the specialty of family medicine and creating an atmosphere of acceptance of the pursuit of primary care as a career are likely to increase an institution's percentage of medical students entering primary care. Training on regional campuses or providing primary care experiences in rural settings also correlates with a larger percentage of graduates entering primary care. A research-intensive culture is inversely correlated with primary care physician production among private, but not public, institutions. The literature on institutional financial incentives is not of high enough quality to make a firm statement about influence on specialty choice. CONCLUSIONS: To produce more primary care providers, medical schools must create an environment where primary care is supported as a career choice. Medical schools should also consider educational models that incorporate regional campuses or rural educational settings.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it