Examining racial disparities in the time to withdrawal of life-sustaining treatment in trauma
Bibliographic record
Abstract
BACKGROUND: Racial disparities in medical treatment for seriously injured patients across the spectrum of care are well established, but racial disparities in end of life decision making practices have not been well described. When time from admission to time to withdrawal of life-sustaining treatment (WLST) increases, so does the potential for ineffective care, health care resource loss, and patient and family suffering. We sought to determine the existence and extent of racial disparities in late WLST after severe injury. METHODS: We queried the American College of Surgeons' Trauma Quality Improvement Program (2013-2016) for all severely injured patients (Injury Severity Score, > 15; age, > 16 years) with a WLST order longer than 24 hours after admission. We defined late WLST as care withdrawn at a time interval beyond the 75th percentile for the entire cohort. Univariate and multivariate analyses were performed using descriptive statistics, and t tests and χ tests where appropriate. Multivariable regression analysis was performed with random effects to account for institutional-level clustering using late WLST as the primary outcome and race as the primary predictor of interest. RESULTS: A total of 13,054 patients from 393 centers were included in the analysis. Median time to WLST was 5.4 days (interquartile range, 2.6-10.3). In our unadjusted analysis, African-American patients (10.1% vs. 7.1%, p < 0.001) and Hispanic patients (7.8% vs. 6.8%, p < 0.001) were more likely to have late WLST as compared to early WLST. After adjustment for patient, injury, and institutional characteristics, African-American (odds ratio, 1.42; 95% confidence interval, 1.21-1.67) and Hispanic (odds ratio, 1.23; 95% confidence interval, 1.04-1.46) race were significant predictors of late WLST. CONCLUSION: African-American and Hispanic race are both significant predictors of late WLST. These findings might be due to patient preference or medical decision making, but speak to the value in assuring a high standard related to identifying goals of care in a culturally sensitive manner. LEVEL OF EVIDENCE: Prognostic and epidemiologic study, level III.
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.
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 | 0.001 | 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".