Perceptions of pharmacy technician students of the CARD (Comfort Ask Relax Distract) e-module introduced as part of vaccine injection training
Bibliographic record
Abstract
Introduction: The scope of practice for pharmacy technicians is expanding to include vaccine administration in some provinces. Vaccine training courses and programs currently do not include education about mitigating immunization stress-related responses (ISRR) and improving the vaccination experience. We obtained feedback from pharmacy technician students about a new e-module that addresses this identified knowledge gap, whereby learners are educated about CARD (Comfort Ask Relax Distract), a vaccine delivery framework that reduces ISRR and improves the vaccination experience. Methods: Mixed-methods design including second-year pharmacy technician students who elected to take an accredited vaccine injection training program. Students were given access to the CARD e-module after completing mandatory vaccine education components. Eight students answered a quantitative survey and 4 (50%) additionally participated in a focus group. Qualitative data were analyzed deductively using the Consolidated Framework for Implementation Research (CFIR). Results: The study was conducted between April 28 and June 12, 2022. Students reported positive attitudes about the CARD e-module across quantitative and qualitative measures. Qualitative feedback spanned 4 CFIR constructs: intervention characteristics, outer setting, inner setting and individual characteristics. Students reported the e-module was well designed and that the content was relevant. They believed CARD facilitated provision of vaccinations using a person-centred approach that promotes vaccination. They felt that CARD could potentially add time to the vaccination appointment and that it would need to be acceptable to pharmacy leaders because of implications for training and vaccination delivery. They suggested that CARD education should be mandatory. CARD improved their confidence in delivering vaccinations, and they planned to integrate CARD into their practice. Conclusion: The CARD e-module was well received by pharmacy technician students when coupled with usual vaccine injection training.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".