Pharmacists as immunizers, their pharmacies and immunization services: A survey of Ontario community pharmacists
Bibliographic record
Abstract
Background: To improve patient access to the influenza vaccine in Ontario, pharmacists have been authorized to administer the vaccine since 2012. A survey was conducted to describe pharmacist immunizers, their pharmacies and immunization services. Methods: Ontario community pharmacists completed an anonymous online survey regarding influenza immunization. Descriptive, comparative and multivariate statistics were used to analyze data on pharmacists’ personal demographics, current workplace characteristics, immunization certification status and past and anticipated experience vaccinating. Results: Of the 4307 community pharmacists contacted, 18.4% ( n = 780) completed the survey. Most (81.3%, n = 603) were certified to administer vaccines, with those practising in urban pharmacies twice as likely to be certified compared to pharmacists practising in rural pharmacies (odds ratio = 2.04; 95% confidence interval, 1.04 to 4.01, p = 0.04). In the past influenza season, 70% of pharmacists had administered over 50 vaccines and 37% worked at pharmacies that had administered more than 300 vaccines. Respondent-provided profiles of immunization services described partnerships with public health, a variety of approaches for in-pharmacy and external advertising and patient vaccine access mainly through walk-in. Discussion: Ontario community pharmacists demonstrate strong engagement with this expanded scope and there is further capacity for immunization service provision through engaging rural pharmacies, addition of other vaccines and leveraging the positive relationship with public health. Patients and the public benefit from easy access to the service and the additional in-store and external promotion of influenza vaccination that is provided by pharmacists and pharmacies. Conclusion: These provincial benchmarking data provide direction for maintaining and expanding community pharmacist-provided influenza immunization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 teacher head, 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".