Bibliographic record
Abstract
OBJECTIVE: Multiple studies conducted over many years have demonstrated that pain is poorly managed in the emergency department (ED). This phenomenon has been referred to in the medical literature as "oligoanalgesia." However, little is known about whether oligoanalgesia occurs in a rural ED. National Ambulatory Care Reporting System data from 2003 for a small rural hospital in Ontario showed patients were satisfied with the amount of pain medicine they received in the ED. We designed a study to replicate a published urban study that investigated the use of analgesia in isolated lower limb injuries. Our objective was to see if oligoanalgesia was also a problem in a rural ED. METHODS: In 2003 we conducted a retrospective chart review of patients who presented to the South Huron Hospital ED with isolated lower extremity injuries for which radiographs of the foot, ankle or both were obtained. Demographics of the ED patients with lower extremity injuries were quantified. Other parametres included whether or not patients received analgesia in the ED; how long it took to get assessed, treated and discharged; whether patients received any analgesia upon discharge; what type of analgesia they received; and whether it required a prescription. RESULTS: A total of 189 patients met inclusion criteria, with 35 fractures identified (18.5%). Sixty-three percent of patients were male. The average age was 32.6 years. The mean Canadian Emergency Department Triage and Acuity Scale level was 4.4. The mean time to physician assessment was 31.6 minutes. The mean length of time spent in the ED was 74 minutes. Over one-half of the patients received analgesia upon discharge from the ED whether or not they had a fracture. In addition, 73% of the people in the fracture group received analgesia requiring a prescription, versus only 46% in the nonfracture group. Narcotics were used more often in the fracture group than in the nonfracture group (26% v. 6%). CONCLUSION: The phenomenon of oligoanalgesia was not observed as often in our rural ED for isolated lower limb injuries, when compared with the published urban study.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".