Community pharmacists’ perspectives on shared decision-making in diabetes management
Bibliographic record
Abstract
OBJECTIVES: Shared decision-making (SDM) is an approach where patients and clinicians share evidence and patients are supported to deliberate options resulting in preference-based informed decisions. The aim of this study was to describe community pharmacists' perceptions and awareness of SDM within their provision of general diabetes management [including Ontario's MedsCheck for Diabetes (MCD) programme], and potential challenges of implementing SDM within community pharmacy. METHODS: This qualitative study used semistructured interviews with a convenience sample of community pharmacists. Data were analysed using thematic analysis. KEY FINDINGS: We conducted 16 interviews. Six participants were male, and nine were certified diabetes educators. When providing a MCD, participants used aspects of a patient-centred approach focusing on providing education. Variation was evident in participants' description and use of SDM, as well as in their perceived level of training in SDM. Participants also highlighted challenges surrounding implementing a SDM approach in practice. CONCLUSION: Pharmacists are well positioned to apply SDM within community settings; however, implementation barriers exist. Pharmacists will require additional training as well as perceived patient and physician barriers should be addressed to encourage uptake.
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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 | 0.010 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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 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".