Evaluation of a microlearning module on hypertension in Canada
Bibliographic record
Abstract
Objectives: To use a microlearning platform to evaluate pharmacists’ knowledge and behaviour related to hypertension. \nMethods: Pharmacy 5in5 is an online microlearning platform designed to help pharmacy professionals develop skills and acquire a deeper understanding of a variety of clinical and professional practice topics. Each topic includes a fact-based quiz, six case-based quizzes, six reflection questions, animated videos, infographics and flash cards. In April 2019, a hypertension module was released to engage pharmacists in managing hypertension and improving current practice behaviours. The module was developed using Canadian and American hypertension guidelines, landmark trials, and tertiary drug resources. The hypertension module was accessible on the Pharmacy5in5 website. Preliminary data were collected over 8 weeks between April-June 2019. User performance was analyzed with a binomial regression model. \nResults: Overall, 600 users accessed the Pharmacy 5in5 platform in the first two months, 81% of which were in Ontario. Licensed pharmacists performed significantly better than other registered users (β = −0.56, t (3362) =−2.15, p = 0.03), with users working in hospitals performing the best. The quiz resulting in the highest average focused on proper techniques for home blood pressure monitoring (mean score of 87%; SD 17%), while the quiz resulting in the lowest average focused on choosing medication therapy (mean score of 59%; SD 22%). In the reflection questions for behaviour in the last three months, 68% of users reported counselling a patient on home blood pressure monitoring and 62% had educated patients on their blood pressure targets, but only 18% had contacted a prescriber to optimize pharmacotherapy. \nConclusion: The Pharmacy5in5 hypertension module is an engaging method of continuing education which can be used to rapidly reach many healthcare professionals in a short time. More education is needed to support pharmacists in working with prescribers to proactively optimize hypertension therapy.
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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".