Pharmacy students screening for pre-diabetes/diabetes with a validated questionnaire in community pharmacies during their experiential rotation in Alberta, Canada
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".