Emergency Physicians Choose Wisely When Ordering Plain Radiographs for Low Back Pain Patients
Bibliographic record
Abstract
Objectives The Choosing Wisely Canada (CWC) Emergency Medicine group recommends avoidance of lumbosacral radiographs for patients with non-traumatic low back pain (LBP) in the absence of red flags. The objective of this study was to evaluate imaging practices of emergency physicians (EPs) in four Calgary emergency departments (EDs) and identify patient, physician, and environmental factors associated with over-ordering of radiographs for low-risk LBP patients. Methods Data was retrospectively collected from patients, ages 18-50 and Canadian Triage and Acuity Scale (CTAS) codes 2-5, who presented with non-traumatic LBP to Calgary EDs from April 1, 2014 to March 31, 2016. Patients considered high risk, specifically with partial thromboplastin time (PTT) > 40 seconds or international normalized ratio (INR) > 1.2 seconds, any consult, admission to hospital, and history of cancer, were excluded. The primary outcome was to establish the overall usage of lumbosacral radiographs. The secondary outcome was to identify factors that influenced lumbosacral spine imaging. Results Data from 2128 low-risk patients showed that 14.8% of the patients received lumbosacral radiographs. Variation among 132 physicians in X-ray ordering ranged from 0% to 90.9%. There were site-specific differences in ordering patterns [Rockyview General Hospital (RGH) = 21.6% > South Health Campus (SHC) = 15.6% > Peter Lougheed Centre (PLC) = 13.1% > Foothills Medical Centre (FMC) = 9.7%, p < 0.001]. Canadian College of Family Physicians-Emergency Medicine (CCFP-EM) licensed physicians ordered more X-rays compared to Fellow of the Royal College of Physicians of Canada (FRCPC) licensed physicians (16.6% vs. 11.1%, p < 0.001). Older physicians and physicians with more experience ordered more X-rays than their younger and less experienced colleagues. Conclusion Considerable variation exists in the ordering practices of Calgary EPs. Overall, EPs seem to be choosing wisely in terms of ordering plain radiographs for non-traumatic LBP.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".