Awareness and use of five imaging decision rules for musculoskeletal injuries: a systematic review
Bibliographic record
Abstract
Abstract Background Several validated decision rules are available for clinicians to guide the appropriate use of imaging for patients with musculoskeletal injuries, including the Canadian CT Head Rule, Canadian C-Spine Rule, National Emergency X-Radiography Utilization Study (NEXUS) guideline, Ottawa Ankle Rules and Ottawa Knee Rules. However, it is unclear to what extent clinicians are aware of the rules and are using these five rules in practice. Objective To determine the proportion of clinicians that are aware of five imaging decision rules and the proportion that use them in practice. Design Systematic review. Methods This was a systematic review conducted in accordance with the ‘Preferred reporting items for systematic reviews and meta-analyses’ (PRISMA) statement. We performed searches in MEDLINE (via Ovid), CINAHL (via EBSCO), EMBASE (via Ovid), Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science and Scopus databases to identify observational and experimental studies with data on the following outcomes among clinicians related to five validated imaging decision rules: awareness, use, attitudes, knowledge, and barriers and facilitators to implementation. Where possible, we pooled data using medians to summarise these outcomes. Results We included 39 studies. Studies were conducted in 15 countries (e.g. the USA, Canada, the UK, Australasia, New Zealand) and included various clinician types (e.g. emergency physicians, emergency nurses and nurse practitioners). Among the five decision rules, clinicians’ awareness was highest for the Canadian C-Spine Rule (84%, n = 3 studies) and lowest for the Ottawa Knee Rules (18%, n = 2). Clinicians’ use was highest for NEXUS (median percentage ranging from 7 to 77%, n = 4) followed by Canadian C-Spine Rule (56–71%, n = 7 studies) and lowest for the Ottawa Knee Rules which ranged from 18 to 58% (n = 4). Conclusion Our results suggest that awareness of the five imaging decision rules is low. Changing clinicians’ attitudes and knowledge towards these decision rules and addressing barriers to their implementation could increase use.
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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 | 0.021 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".