Pharmacist-led cardiovascular risk prevention in Western Canada: a qualitative study
Bibliographic record
Abstract
OBJECTIVES: Preventing cardiovascular diseases (CVD) is a public health and policy priority, including for employers. A novel CVD risk management programme that included medication management was delivered by pharmacists to employees of a Canadian university. This qualitative study describes the experiences and perceptions of participants who received individual health consultations in this programme. METHODS: A qualitative study design using free-text responses was adopted. Data (5658 words) came from evaluation surveys completed by 119 programme participants were iteratively coded and thematically analysed. KEY FINDINGS: We identified four themes characterising participant experiences of pharmacist-led CVD prevention. Theme one was labelled self-efficacy because personalised health information and advice on CVD risk factor management empowered participants to make improvements for their health. Participants expressed a range of positive responses about the longer consultations, supportive communication and safe setting of their pharmacist-led encounters; hence, Theme two is labelled pharmacists' interpersonal skills. The wider context of the programme included a number of enabling factors (Theme three) that either supported or limited participant engagement in the programme. A number of changes to behaviour and health measures were identified and participant suggestions to expand and continue the programme further contributed to perceptions of positive programme impact (Theme four). CONCLUSIONS: This study raises questions about how external resources and broader determinants might enable, or hinder, future programme success and sustainability. It also highlights the need for greater understanding and communication of the importance of primary prevention and the role of pharmacists in CVD risk reduction and workplace health promotion.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".