Factors Affecting Recruitment into Psychiatry: a Canadian Experience
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: There is a projected shortage of psychiatrists in Canada in forthcoming years. This study assessed factors in medical school education that are associated with students selecting psychiatry first and matching as a discipline. METHOD: The Canadian Organization of Undergraduate Psychiatry Educators (COUPE) conducted telephone interviews and sent e-mail questionnaires to the 17 medical schools across Canada; all schools provided data for 2012. Relevant data were obtained from the Canadian Resident Matching Service. Statistics were performed using v12 STATA program, and significance was set at a p value of <0.05. RESULTS: Medical student enrollment ranged from 54 to 266 students (mean = 158 ± 16). Of these students, 4.9 ± 0.6 % ranked psychiatry as their first choice for residency. Final match results yielded similar numbers at 5.0 ± 0.6 %. Ten out of 17 programs filled all psychiatry residency positions, whereas the remaining 7 programs had vacancy rates from 5 to 100 % (mean = 43.4 ± 15.1 %). Medical students were exposed to an average of 2.8 ± 0.5 pre-clerkship psychiatry weeks and 6.2 ± 0.3 clerkship weeks. Linear regression analysis demonstrated that the percentage of graduating medical students entering a psychiatry residency program could be predicted from the number of weeks of pre-clerkship exposure (p = 0.01; R(2) = 0.36) but not from the number of clerkship weeks (p = 0.74). CONCLUSIONS: This study indicates that the duration of pre-clerkship exposure to psychiatry predicts the number of students selecting psychiatry as their first choice as a discipline. Thus, increasing the duration of pre-clerkship exposure may increase the enrollment of medical students into psychiatry.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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