Impact of Physician and Patient Gender on Pain Management in the Emergency Department—A Multicenter Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Pain is a complex experience influenced by factors such as age, race, and ethnicity. We conducted a multicenter study to better understand emergency department (ED) pain management practices and examined the influence of patient and provider gender on analgesic administration. DESIGN: Prospective, multicenter, observational study. SETTING: Consecutive patients, >or=8-years-old, presenting with complaints of moderate to severe pain (pain numerical rating scale [NRS] > 3) at 16 U.S. and three Canadian hospitals. OUTCOMES MEASURES: Receipt of any ED analgesic, receipt of opioids, and adequate pain relief in the ED. RESULTS: Eight hundred forty-two patients participated including 56% women. Baseline pain scores were similar in both genders. Analgesic administration rates were not significantly different for female and male patients (63% vs 57%, P = 0.08), although females presenting with severe pain (NRS >or=8) were more likely to receive analgesics (74% vs 64%, P = 0.02). Female physicians were more likely to administer analgesics than male physicians (66% vs 57%, P = 0.009). In logistic regression models, predictors of ED analgesic administration were male physician (odds ratio [OR] = 0.7), arrival pain (OR = 1.3), number of pain assessments (OR = 1.83), and charted follow-up plans (OR = 2.16). With regard to opioid administration, female physicians were more likely to prescribe opioids to females (P = 0.006) while male physicians were more likely to prescribe to males (P = 0.05). In logistic regression models, predictors of opioids administration included male patient gender (OR = 0.58), male patient-physician interaction (OR = 2.58), arrival pain score (OR = 1.28), average pain score (OR = 1.10), and number of pain assessments (OR = 1.5). Pain relief was not impacted by gender. CONCLUSION: Provider gender as opposed to patient gender appears to influence pain management decisions in the ED.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it