Oligoanalgesia in Adult Colles Fracture Patients Admitted to the Emergency Department
Bibliographic record
Abstract
Pain is the most common reason that patients frequent the Emergency Department. Pain is a complex symptom to assess properly and according to research, it appears to be poorly managed in the Emergency Department. The majority of research has focused on the incidence of oligoanalgesia in large samples of patients with heterogeneous injuries. Pain management will differ depending on the type of injury a patient has sustained. The occurrence of oligoanalgesia in a homogeneous injury, such as Colles fracture, has yet to be explored. This is a pilot study using a retrospective chart review to determine the incidence of oligoanalgesia in adult Colles fracture patients admitted to two urban Emergency Departments in Western Canada. One hundred and fifty charts from site 1 and site 2 were analyzed from the last five years to determine the occurrence of oligoanalgesia. There was no statistical difference in age groups, who received analgesia, and females were more likely to receive analgesia, but this was not significant. Age and sex were not significantly associated with receipt of an opioid. Age and sex were significant predictors of pain assessment. Neither age nor sex were significant predictors of pain reassessment. Pain reassessment was only completed in 47% of patients who received an initial pain assessment, This was significant when compared to the best practice standard.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".