Is adequate pain relief and time to analgesia associated with emergency department length of stay? A retrospective study
Bibliographic record
Abstract
OBJECTIVES: Evaluate the association of adequate analgesia and time to analgesia with emergency department (ED) length of stay (LOS). SETTING AND DESIGN: Post hoc analysis of real-time archived data. PARTICIPANTS: We included all consecutive ED patients ≥18 years with pain intensity >6 (verbal numerical scale from 0 to 10), assigned to an ED bed, and whose pain was re-evaluated less than 1 h after receiving analgesic treatment. OUTCOME MEASURES: The main outcome was ED-LOS in patients who had adequate pain relief (AR=↓50% pain intensity) compared with those who did not have such relief (NR). RESULTS: A total of 2033 patients (mean age 49.5 years; 51% men) met our inclusion criteria; 58.3% were discharged, and 41.7% were admitted. Among patients discharged or admitted, there was no significant difference in ED-LOS between those with AR (median (25th-75th centile): 9.6 h (6.3-14.8) and 18.2 h (11.6-25.7), respectively) and NR (median (25th-75th centile): 9.6 h (6.6-16.0) and 17.4 h (11.3-26.5), respectively). After controlling for confounding factors, rapid time to analgesia (not AR) was associated with shorter ED-LOS of discharged and admitted patients (p<0.001 and <0.05, respectively). When adjusting for confounding variables, ED-LOS is shortened by 2 h (95% CI 1.1 to 2.8) when delay to receive analgesic is <90 min compared with >90 min for discharged and by 2.3 h (95% CI 0.17 to 4.4) for admitted patients. CONCLUSIONS: In our study, AR was not linked with short ED-LOS. However, rapid administration of analgesia was associated with short ED-LOS.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".