Community pharmacists’ perceptions of the CARD (Comfort Ask Relax Distract) system for use during vaccinations
Bibliographic record
Abstract
Introduction: We explored Canadian community pharmacists' perceptions of the CARD (Comfort Ask Relax Distract) system, a vaccine delivery framework that integrates evidence-based interventions that reduce immunization stress-related responses (ISRRs). The objective was to introduce CARD to pharmacists and obtain their feedback to guide future implementation efforts for community pharmacy-based vaccinations. Methods: Eighteen pharmacists across all provinces participated in one-on-one moderated virtual interviews. A semistructured interview guide was used to guide the discussion and included questions about experiences with coronavirus disease 2019 (COVID-19) vaccine administration and perceptions of CARD as a framework for vaccination delivery in the pharmacy. In this report, we focus on feedback about CARD. Interviews were audio-recorded and transcribed verbatim and deductively coded using the Consolidated Framework for Implementation Research (CFIR). Results: The study was conducted from May 28 to August 16, 2021. Pharmacists' responses were categorized in 3 CFIR domains: intervention characteristics, inner setting and characteristics of individuals. Overall, pharmacists were receptive towards CARD and thought it filled a current gap in practice, particularly for childhood vaccinations. Pharmacists reported learning techniques to make vaccinations more comfortable for their clients. They provided feedback on how specific interventions could be adapted for their practice (e.g., dissemination of client-directed education via appointment booking portals, provision of distraction items in waiting and vaccinating spaces). Discussion: This study provided preliminary evidence that pharmacists found CARD acceptable and appropriate for community pharmacy-based vaccinations. The data collected from this study were used to inform a small-scale implementation project with CARD during COVID-19 vaccine administration in children aged 5 to 11 years.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".