The COVID conversations: A content analysis of Canadian pharmacy organizations’ communication of pharmacists’ roles and services during the COVID-19 pandemic
Bibliographic record
Abstract
Background: The COVID-19 pandemic presented a unique challenge for pharmacists as they navigated information scarcity on the frontlines while being identified as information experts. Alberta pharmacists looked to their professional organizations for direction regarding what their roles should be in a crisis. The objective of this study was to explore pharmacists' roles and services and how they were communicated by pharmacy organizations during the first year of the COVID-19 pandemic. Methods: The study used a conventional content analysis method to explore the online communication of relevant pharmacy organizations for Alberta pharmacists. Five organization websites (National Association of Pharmacy Regulatory Authorities, Canadian Pharmacists Association [CPhA], Canadian Society of Hospital Pharmacists [CSHP], Alberta College of Pharmacy [ACP] and the Alberta Pharmacists' Association [RxA]) were examined to identify and catalogue publicly accessible documents that communicated pharmacists' roles and services during the first year of the pandemic for Alberta pharmacists. Results: A total of 92 documents were collected from CPhA (60), CSHP (2), ACP (26) and RxA (4). While most documents communicated information about pharmacists' roles in public health, patient care and drug and personal protective equipment supply, more than one-third of the documents (32/92, 34.8%) required contextual information to interpret the communication. There was an observed shift in the communication after the first 6 months, becoming more direct in its messaging and context. Conclusion: These pharmacy organizations communicated information for pharmacists' roles and services to provide direction and guidance in the ever-changing context of the COVID-19 pandemic for Alberta pharmacists. Their communication became clearer and more direct as the pandemic progressed, requiring less inference to understand the intended message.
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".