Interdisciplinary strategies to prevent long-term and detrimental opioid use following trauma: a stakeholder consensus study
Bibliographic record
Abstract
OBJECTIVE: Prolonged opioid use is common following traumatic injuries. Although preventive strategies have been recommended, the evidence supporting their use is low. The objectives of this study were to select interdisciplinary strategies to prevent long-term, detrimental opioid use in trauma patients for further evaluation and to identify implementation considerations. DESIGN: A consensus study using the nominal group technique. SETTING: Four trauma systems in Canada. SUBJECTS: Participants included expert clinicians and decision makers, and people with lived experience. METHODS: Participants had to discuss the relevance and implementation of 15 strategies and then rank them using a 7-point Likert scale. Implementation considerations were identified through a synthesis of discussions. RESULTS: A total of 41 expert stakeholders formed the nominal groups. Overall, eight strategies were favored: 1) using multimodal approach for pain management, 2) professional follow-up in physical health, 3) assessment of risk factors for opioid misuse, 4) physical stimulation, 5) downward adjustment of opioids based on patient recovery, 6) educational intervention for patients, 7) training offered to professionals on how to prescribe opioids, and 8) optimizing communication between professionals working in different settings. Discussions with expert stakeholders revealed the rationale for the selected strategies and identified issues to consider when implementing them. CONCLUSION: This stakeholder consensus study identified, for further scientific study, a set of interdisciplinary strategies to promote appropriate opioid use following traumatic injuries. These strategies could ultimately decrease the burden associated with long-term opioid use.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".