Pharmacy students screening for pre-diabetes/diabetes with a validated questionnaire in community pharmacies during their experiential rotation in Alberta, Canada
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
PURPOSE: Type 2 diabetes is a major condition impacting morbidity, mortality, and health care costs in Canada. Pharmacists are very accessible and are in an ideal position to promote public health education. The primary goal of this study was to incorporate public health promotion and education into a community pharmacy experiential education rotation for fourth year pharmacy students to screen for the risk of pre-diabetes/diabetes in adults. A secondary goal was to determine the frequency of common risk factors for pre-diabetes/diabetes in adults in the community setting. METHOD: Fourth year pharmacy students were invited to recruit all adults 25 years or older attending community pharmacies to complete a pre-diabetes/diabetes risk assessment questionnaire. If the participants were at risk, the participants were provided education about risk reduction for developing pre-diabetes/diabetes. RESULTS: A total of 340 participants completed a risk assessment questionnaire. Over 90% of people approached agreed to complete a risk assessment questionnaire. The common risk factors were overweight (154/45%), hypertension (102/30%), taking medications for hypertension (102/30%), and having symptoms of diabetes (111/33%). The ethnic minorities have 2.56 (confidence interval = 1.48-44.1) times greater odds of having a family history of diabetes compared to non-minority subjects. CONCLUSION: Pharmacy students are able to screen community-based patients for pre-diabetes/diabetes risks. The most common risk factors presented were overweight, hypertension, and taking medications for hypertension.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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