The prevalence of low back pain in the emergency department: a descriptive study set in the Charles V. Keating Emergency and Trauma Centre, Halifax, Nova Scotia, Canada
Bibliographic record
Abstract
BACKGROUND: While low back pain is a common presenting complaint in the emergency department, current estimates from Canada are limited. Furthermore, existing estimates do not clearly define low back pain. As such, our main objective was to estimate prevalence rates of low back pain in a large Nova Scotian emergency department using various definitions, and to describe characteristics of individuals included in these groups. An additional objective was to explore trends in low back pain prevalence in our emergency department over time. METHODS: We conducted a cross sectional analysis using six years of administrative data from our local emergency setting. We first calculated the prevalence and patient characteristics for individuals presenting with any complaint of back pain, and for groups diagnosed with different types of low back pain. We explored prevalence over time by analyzing presentation trends by month, day of the week and hour of the day. RESULTS: The prevalence of patients presenting to the emergency department with a complaint of back pain was 3.17%. Individuals diagnosed with non-specific/mechanical low back pain with no potential nerve root involvement made up 60.8% of all back pain presentations. Persons diagnosed with non-specific/mechanical low back pain with potential nerve root involvement made up 6.7% of presentation and the low back pain attributed to secondary factors accounted for 9.9% of back pain presentations. We found a linear increase in presentations for low back pain over the study period. CONCLUSION: This is the first multi-year analysis assessing the prevalence of low back pain in a Canadian emergency department. Back pain is a common presenting complaint in our local emergency department, with most of these persons receiving a diagnosis of non-specific/mechanical low back pain with no potential nerve root involvement. Future research should concentrate on understanding the management of low back pain in this setting, to ensure this is the proper setting to manage this common condition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".