Ready for shared decision making: Pretesting a training module for health professionals on sharing decisions with their patients
Bibliographic record
Abstract
INTRODUCTION: While shared decision-making (SDM) training programmes for health professionals have been developed in several countries, few have been evaluated. In Norway, a comprehensive curriculum, "klar for samvalg" (ready for SDM), for interprofessional health-care teams was created using generic didactic methods and guidance to tailor training to various contexts. The programmes adapted didactic methods from an evidence-based German training programmes (doktormitSDM). The overall aim was to evaluate two particular SDM modules on facilitating SDM implementation into clinical practice. METHOD: A descriptive mixed methods study using questionnaires and a focus group guided by the Medical Research Council Complex Interventions Framework. The training was provided as two different applications (module AB [introduction and SDM-basics] and module ABC [introduction, SDM-basics and interactive training]) with differing learning objectives, extent of interactivity, and duration (1 vs 2 hours). Groups of participants were recruited consecutively based on requests for health professional SDM training in university/college- and hospital-settings. By a focus group and a self-administered questionnaire comprehensibility, relevance and acceptance were assessed and qualitative feedback collected after the training. Data passed descriptive and content analysis, respectively. Knowledge was assessed twice using five multiple-choice items and analysed using paired t-tests. RESULTS: In 11 (six AB and five ABC) training sessions, 357/429 (296 AB and 133 ABC) eligible nurses, physicians and health professional students with varying clinical backgrounds and previous levels of SDM-knowledge participated. SDM-knowledge increased from 25-78% (range pretest) to 85-95% (range post-test) (P ≤ .001). The training was rated easy to understand, acceptable and relevant for practice. Findings to improve the education suggest higher emphasis on interprofessional teaching methods. CONCLUSIONS: The two SDM training modules met the basic requirements for use in a broader SDM implementation strategy and can even improve knowledge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".