Reliability and Validity of a New Survey to Assess Global Health Competencies of Health Professionals
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
OBJECTIVE: Health professionals are paying increased attention to issues of global health. However, there are no current competency assessment tools appropriate for evaluating their competency in global health. This study aims to assess the validity and reliability of a global health competency survey for different health disciplines. METHODS: A total of 429 students participated in the Global Health Competency Survey, drawn from family medicine residency, nursing, physiotherapy and occupational therapy programs of five universities in Ontario, Canada. The surveys were evaluated for face and content validity and reliability. RESULTS: Factor analysis was used to identify the main factors to be included in the reliability analysis. Content validity was supported with one floor effect in the "racial/ethnic disparities" variable (36.1%), and few ceiling effects. Seven of the twenty-two variables performed the best (between 34% and 59.6%). For the overall rating score, no participants had floor or ceiling effects. Five factors were identified which accounted for 95% of the variance. Cronbach's alpha was >0.8 indicating that the survey items had good internal consistency and represent a homogeneous construct. CONCLUSION: The Global Health Competency Survey demonstrated good internal consistency and validity.
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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 | 0.048 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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