Pharmacist Intervention in Cardiac Rehabilitation
Bibliographic record
Abstract
In Brief PURPOSE: We aimed to determine to what extent a telephone-based pharmacist intervention would (a) be utilized by individuals not attending a traditional cardiac rehabilitation (CR) program and (b) facilitate adherence to cardiovascular medications. METHODS: We conducted a randomized, controlled open-label trial among patients eligible for CR in Saskatoon, Canada. Patients were invited to participate in telephone-based CR, regardless of participation in the formal program. Subjects in the intervention group were assessed by the CR pharmacist and received education and counseling on medication adherence. The primary endpoint was adherence to cardiovascular medication assessed by electronic filling records over a minimum of 6 months. Mean adherence was expected to reach 70% during the followup period. RESULTS: Patient recruitment was halted early because of low enrollment. Of the 95 patients randomized, 90% had also registered in the traditional CR program. During the followup period, 129 telephone interactions were performed (median, 2 calls), with every subject taking part in at least 1 interaction. Over the study period, the mean adherence to all recently initiated cardiovascular medications combined was 88.8% in the intervention group and 89.9% in the usual care group (P = .73). CONCLUSIONS: Participation in traditional CR programs does not appear to be influenced by the availability of telephone-based education and support. Furthermore, the high rate of adherence among the control group may suggest that CR programs are attracting “healthy adherers” who volunteer for such programs, while missing those with the greatest need for health care system resources. A randomized, controlled trial was undertaken to determine to what extent a telephone-based pharmacist intervention would (a) be utilized by individuals not attending traditional cardiac rehabilitation and (b) facilitate adherence to cardiovascular medications. Results indicate that the mean adherence to all recently initiated cardiovascular medications did not differ significantly.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".