Enhancing hypertension detection and control through a hypertension certification program for pharmacists: A cluster randomized trial (The R <sub>x</sub> PATH Study)
Bibliographic record
Abstract
Importance: We designed an online educational program for primary care health care providers, the Hypertension Canada Professional Certification Program (HC-PCP), based upon its 2020 guidelines. Objective: The objective was to determine the effect of the HC-PCP, taken by pharmacists, on systolic blood pressure (BP) in patients with poorly controlled hypertension. Design: Stepped wedge cluster randomized trial (unit of randomization was the pharmacy). Participants: Patients with poorly controlled hypertension (BP >140/90 mmHg or >130/80 mmHg [diabetes]) in community pharmacies in Alberta, Canada, were recruited by their pharmacist. Intervention: Pharmacists completed the HC-PCP program, then provided care to their patients with poorly controlled hypertension according to what they learned in the course. Control: Pharmacists were given a copy of the Hypertension Canada guidelines and provided their usual care to their patients prior to undertaking the HC-PCP later. Main outcome and measure: The primary outcome was a difference in change in systolic BP at 3 months between groups, while the secondary outcome was patient satisfaction with using the Consultation Satisfaction Questionnaire. Results: We enrolled 890 patients from 59 pharmacies (including 104 pharmacists). Using a linear mixed-effect model with BP reduction as the dependent variable and independent variables of treatment allocation, baseline BP, site effect and patient effect, the intervention was associated with a 4.76 mmHg (95% confidence interval, 2.02–7.50, p < 0.0001) systolic BP reduction at 3 months. Patient satisfaction with using the Consultation Satisfaction Questionnaire was high at 75.9 (/90). Conclusion and relevance: Most educational programs are not evaluated at the patient care level. The HC-PCP taken by pharmacists resulted in a 4.76 mmHg systolic BP reduction in their patients over 3 months. This would have major implications for public health, reducing heart disease, stroke and kidney failure.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".