Knowledge, Attitudes and Beliefs about Chronic Noncancer Pain in Primary Care: a Canadian Survey of Physicians and Pharmacists
Bibliographic record
Abstract
BACKGROUND: Primary care providers' knowledge, attitudes and beliefs (KAB) regarding chronic noncancer pain (CNCP) are a barrier to optimal management. OBJECTIVES: To evaluate and identify the determinants of the KAB of primary care physicians and pharmacists, and to document clinician preferences regarding the content and format of a continuing education program (CEP). METHOD: Physicians and pharmacists of 486 CNCP patients participated. Physicians completed the original version of the KnowPain-50 questionnaire. Pharmacists completed a modified version. A multivariate linear regression model was developed to identify the determinants of their KAB. RESULTS: A total of 137 of 387 (35.4%) physicians and 110 of 278 (39.5%) pharmacists completed the survey. Compared with the physicians, the pharmacists surveyed included more women (64% versus 38%) and had less clinical experience (15 years versus 26 years). The mean KnowPain-50 score was 69.3% (95% CI 68.0% to 70.5%) for physicians and 63.8% (95% CI 62.5% to 65.1%) for pharmacists. Low scores were observed on all aspects of pain management: initial assessment (physicians, 68.3%; pharmacists, 65.4%); definition of treatment goals and expectations (76.1%; 61.6%); development of a treatment plan (66.4%; 59.0%); and reassessment and management of longitudinal care (64.3%; 53.1%). Ten hours of reported CEP sessions increased the KAB score by 0.3 points. All clinicians considered a CEP for CNCP to be essential. Physicians preferred an interactive format, while pharmacists had no clear preferences. CONCLUSION: A CEP to improve primary care providers' knowledge and competency in managing CNCP, and to reduce false beliefs and inappropriate attitudes regarding CNCP is relevant and perceived as necessary by clinicians.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".