Death by Suicide among Canadian Medical Students: A National Survey-Based Study
Bibliographic record
Abstract
OBJECTIVE: To estimate a rate of death by suicide in the Canadian medical student population and examine the prevalence of institutional response policies for suicide. METHODS: A survey was sent to all 17 Canadian medical undergraduate programs (MDUPs) to collect information on deaths by suicide over the past 10 years. In the case of a reported suicide, basic demographic data was collected. Respondents were asked to indicate whether internal statistics or response policies for suicide existed at their MDUP. RESULTS: Responses were obtained from 16 of 17 (94%) MDUPs. Six suicides (50% female) were reported over the ten-year period from 2006 to 2016. The estimated cause-specific mortality rate was 5.9-8.7/100,000 medical students/year. There were seven (44%) MDUPs that kept statistics on student deaths including suicides and 10 (63%) reported having policies or guidelines regarding what to do in the event of a suicide. CONCLUSIONS: Our estimated suicide rate falls within previously reported rates in medical students. While this may be lower than the national rate for Canadians between the ages of 20-30 years old, any suicide in the medical student community must be an impetus for national dialogue and further study. A strategy is needed to better define the prevalence, risk factors for and impact of medical student suicide in Canada.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".