SP4-7 Health students' knowledge and needs relating to global health and health equity: a province-wide study
Bibliographic record
Abstract
The purpose of this study is to evaluate the extent of global health content in the current curricula of family medicine, nursing and physiotherapy programs and to conduct a survey for students in order to evaluate the knowledge, attitudes and education needs about global health. Methodology The global health content of medical, nursing and physiotherapy curricula will be assessed through a document analysis. The appraisal will include the printed and electronic documents of these programs from each of the six Ontario universities in Canada. Additionally, a survey will be validated and administrated to health students. The validation will cover face and content validity, reliability and internal consistence reliability. The sample size will be calculated with the Bland formula. Cronbach's α will assess the internal consistency of the instrument for a complete multi-question scale. Results The preliminary results of the document analysis revealed a lack of global health content in the curricula of these programs. There was a lack of printed and electronic information about global health as well as a lack of information regarding the description of the global health programs, evaluation, mentorship, funding, objectives and challenges. We are currently in the process of collecting data for the quantitative study. Conclusion The preliminary conclusion of this study showed that there is a lack of global health content in the nursing, family physician residency and physiotherapy programs. Additionally, there is a need to develop global health competence across disciplines in order to improve health outcomes for diverse and disadvantaged population and promote health equity.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".