A community pharmacy-based program to enhance adherence to adjuvant endocrine therapy among breast cancer survivors (PACHA): protocol for a pilot cluster-randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Adjuvant endocrine therapy (AET) is an oral treatment prescribed for 5 to 10 years to women with hormone-sensitive breast cancer. Despite the benefits of AET for reducing breast cancer recurrence, suboptimal adherence is common. Community pharmacists can play a role in supporting women with this treatment, given their frequent encounters with patients, access to refill information, and expertise in managing side effects. The goal of this pilot study is to assess the acceptability and feasibility of implementation, and preliminary effects of the PACHA program, a community pharmacy-based program designed to support women who are prescribed AET. Another goal is to assess the feasibility of a large-scale randomized controlled trial (RCT). METHODS: This is a pilot cluster-RCT using mixed-methods. A cluster consists of a pharmacy, its pharmacists, and its patients with an AET prescription in the last 30 months. Pharmacies will be recruited through targeted advertisement. Participating pharmacies will be randomized 1:1 to two groups (n = 33 pharmacies per group). In the first group (control), pharmacists will provide usual services to women. In the second group (intervention), pharmacists will complete web-based training and perform consultations using a standardized guide based on motivational interviewing principles and evidence-based online strategy sheets to cope with AET side effects. Women in the intervention group will have access to a website featuring video modules on AET, strategies for managing side effects, testimonials from women who have had an AET, and a list of resources. Acceptability and feasibility indicators, as well as psychosocial factors expected to influence AET adherence and treatment experience, will be collected at baseline, during, and at the end of the 6-month follow-up using online questionnaires, study data logs, and pharmacy claim records. Semi-structured interviews will be conducted to explore participants' experiences with the program. DISCUSSION: Results will help to refine the program and, if the results support this, to design a full-scale cluster-RCT to assess the program's effect on 5-year adherence and costs. If effective, this program could fill a gap in breast cancer supportive care and contribute to reducing cancer burden by improving survivorship experience and survival. TRIAL REGISTRATION: This trial has been approved by the Research Ethics Board of the CHU de Québec-Université Laval (MP-20-2023-6625) and registered at Clinicaltrials.gov (NCT05887102) on 2023-05-24, https://classic. CLINICALTRIALS: gov/ct2/show/NCT05887102 , prior to beginning the study. Protocol version 1 is dated as 2022-12-12.
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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 | 0.025 | 0.023 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.075 | 0.010 |
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".