Exploring influenza vaccine hesitancy in community pharmacies: Knowledge, attitudes and practices of community pharmacists in Ontario, Canada
Bibliographic record
Abstract
Background: Vaccine hesitancy (VH) remains a prime contributor to poor influenza vaccine uptake. This study explores the knowledge, attitudes and practices of community pharmacists toward influenza VH, including their personal influenza immunization attitudes and behaviours. Methods: A web-based cross-sectional survey questionnaire was administered to community pharmacists practising in Ontario, Canada. A 38-question survey tool explored 5 domains, including pharmacists’ personal attitudes and behaviour toward influenza immunization, their self-reported knowledge of influenza, its vaccine and vaccine hesitancy, and their attitudes, practices and experiences with influenza VH at the community pharmacy. The data were analyzed descriptively. Results: A total of 5530 survey invitations were e-mailed, and 885 responses were collected (response rate 16%). Two-thirds ( n = 568, 65.7%) of the respondents reported receiving the influenza vaccine in the preceding season. The most frequent reasons for personal influenza immunization were prevention of disease transmission to patients, friends and family, and contribution to herd immunity. In addition to their confidence and perceived ability to identify and address influenza VH, respondents’ self-reported knowledge across a 15-item Likert questionnaire was high. Respondents reported coming across an average of 16 (SD 28) individuals hesitant to receive the influenza vaccine each week. Regular workload ( n = 419, 65.6%) and insufficient time ( n = 406, 65.3%) were reported as the most limiting barriers to engagement in influenza vaccine conversations. Conclusion: Facilitating optimal practice scope for pharmacists, and capitalizing on the convenience and accessibility of the community pharmacy setting, presents a promising means to address influenza VH. However, barriers to pharmacist-initiated engagement on influenza vaccine must be explored and addressed. Can Pharm J (Ott) 2020;153:xx-xx.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".