A Medication Synchronization Program and Blood Pressure Levels in a Community Pharmacy: Protocol
Bibliographic record
Abstract
BACKGROUND: The lack of adherence to prescribed antihypertensive medication occurs in 50% of patients and leads to poor health outcomes and increased medical costs. Consistent use of antihypertensive medications among patients with hypertension is essential to the reduction of short- and long-term cardiovascular complications. Strategies to improve medication adherence include syncing prescription medications in the pharmacy, which allow patients to retrieve chronically prescribed medications in one visit. The adoption of medication synchronization has been shown to improve adherence to medications; however, there is a lack of data showing if the intervention reduces blood pressure and improves long-term health outcomes. OBJECTIVE: This study aims to determine the association between participation in an appointment-based medication synchronization service and blood pressure levels among patients on antihypertensive medications. METHODS: This longitudinal prospective cohort study will observe changes in blood pressure among individuals in a medication synchronization program and those in a usual care group. Patients on at least two antihypertensive medications and four total medications have been recruited to participate in the study. All participants will be required to have at least a 6-month history of filling prescriptions at the pharmacy prior to enrollment in the study. Based on an estimated standard deviation of 14 mmHg, a sample size of 70 participants provides approximately 80% power with a two-sided .05 significance to detect a difference of 9 mmHg blood pressure between the two cohorts. RESULTS: As of the publication of this paper, patients are completing final blood pressure visits at the pharmacy and medication data are being collected from the pharmacy. Once patients complete all blood pressure visits, data analysis will begin. CONCLUSIONS: This study will link medication synchronization and changes in blood pressure levels among individuals with hypertension. This study will provide preliminary data for a randomized clinical trial that will assess the impact of medication synchronization on blood pressure. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12527.
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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 | 0.035 | 0.027 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.079 | 0.024 |
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".