Attitude and knowledge of medical students about organ donation – training needs identified from a Canadian survey
Bibliographic record
Abstract
BACKGROUND: Appropriate training of health professionals has been recommended to increase organ donation rates. Some studies have shown insufficient knowledge among medical students. This survey aims to describe their knowledge and attitude toward organ donation (OD). METHOD: We designed, pre-tested and conducted an online survey of all undergraduate medical students from Montreal, Laval and Sherbrooke universities in 2016-2017. Multivariate linear regression identified factors associated with a better knowledge score. RESULTS: Twenty-two percent (750/3344) of students completed the survey. Ninety-one percent of students adequately knew that neurological death is irreversible; 76% acknowledged that someone could be neurologically deceased while his heart is still beating; 69% were not aware of circulatory determination of death. For only one knowledge item, senior students had a better answer than junior students. Total knowledge score was associated with exposure to OD during medical studies and comfort in answering patients' questions about OD (p < 0,001). Regarding attitude, 96% of respondents wished to become organ donors after death and 92% supported OD training during their medical training. CONCLUSION: Despite a favourable attitude, medical students have limited knowledge of OD. Findings suggest the need for a formal curriculum about OD, as students expressed.
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How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".