Providing evidence‐based information to patients in general practice and pharmacies: what is the acceptability, usefulness and impact on drug use?
Bibliographic record
Abstract
BACKGROUND: A common and often integral method of delivering patient information is the use of patient guides. However, the acceptability, utility and impact of evidence-based therapeutic guides on physicians, pharmacists and patients have not been well evaluated. METHODS: This study was a prospective evaluation of 53 general practitioners' offices and 30 community pharmacies from three locations in Canada. Evidence-based guides were provided to 1176 patients who presented to either a general practitioner or a community pharmacist and were interested in receiving information about sore throat, heartburn, or osteoporosis (http://www.ti.ubc.ca/canadadrugguide). The acceptability, utility and impact of the guides were assessed via structured patient telephone interviews, structured health professional interviews, and patient chart audits. RESULTS: Eighty to 90% of patients reported that the guides were 'very easy' to understand. Fifty six per cent/47%/38% (sore throat/heartburn/osteoporosis) of patients rated the guides as 'very' or 'extremely' useful. Seventy-two per cent/67%/58% of respondents reported that the information helped them make decisions about their treatment. Ninety eight per cent of physicians and 92% of pharmacists reported that the guides helped their patients understand the issues involved in their treatment. None of the analyses showed any significant differences in prescribing of medications between the intervention and control groups. INTERPRETATIONS: Patients found these evidence-based guides to be useful, easy to understand, and that they helped them in their understanding of treatment options and the decision-making process. Physicians and pharmacists reported that the guides helped their patients understand the issues involved in their treatment. Further research is required to determine the degree to which providing evidence-based guides to patients can impact on prescribing and patient outcomes.
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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 | 0.000 | 0.003 |
| 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 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".