Attitudes, knowledge and behaviors related to evidence-based practice in health professionals involved in pain management
Bibliographic record
Abstract
BACKGROUND: Healthcare professionals involved in pain management come from different disciplines, which may have different perspectives and training about evidence-based practice (EBP). A common concern for health professionals is pain management. Understanding how different professions involved in pain management view EBP forms the ideal context to study professional differences in EPP, and how this might influence pain management. PURPOSE: The purpose of this study was to compare different professions with respect to knowledge, attitudes and self-reported behavior toward EBP. STUDY DESIGN: Cross-sectional study. METHODS: Physicians, nurses, occupational therapists, physical therapists and psychologists who were involved in pain management (n = 675) completed an online survey on a single occasion. The survey included demographic questions and the EBP-knowledge, attitude, behavior questionnaire (EBP-KABQ). This is a 27-item questionnaire that has been validated for use with different health professionals, and measures four constructs related to EBP (knowledge, attitude, behavior and outcome/decision). Differences between professionals were identified using a one-way between groups analysis of variance, with post-hoc testing (statistical significance was set at P value less than 0.05; clinical significance set at a mean difference of 10%). RESULTS: The score on three of the four subscales of the KABQ were statistically different across professions. In general, knowledge scores were high for all professions (83-87%). Nurses demonstrated statistically higher levels of EBP knowledge (87%) when compared with other groups (F = 4.79, P = 0.001), but the differences were not deemed clinically relevant. Behavior was the lowest subscale and the most variable across professions (37-56%). Physicians had statistically significant (F = 25.69; P = 0.001), and clinically relevant, higher behavior subscale scores (56%) when compared with other professional groups. Physicians (73%) also had higher outcome/decision subscale scores (F = 6.50; P = 0.001), but this was only marginally different from other professions (65-73%). The attitude subscale scores were low and were not different across professions (range 57-59%; F = 1.65, P = 0.16; NS). CONCLUSION: The current study indicates that physicians and allied health professionals have similar EBP attitudes and knowledge. All professional groups seem to have suboptimal implementation of EBP. The nature of medical decision-making, its evidentiary pool, or longer experience with EBP may contribute to greater implementation amongst physicians.
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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 | 0.032 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".