Medicare’ Hospital-Acquired Condition Reduction Program and Community Diversity in the United States: The Need to Account for Racial and Ethnic Segregation
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
This study investigated the association between community diversity within hospitals’ referral region (HRR) and hospital-acquired conditions (HACs) incident rate among adults ages ≥ 65 years. HRR level (n = 274) HACs were examined and the analysis showed that high diverse communities (OR 1.48, 95% CI [1.15,1.91]) had higher adjusted odds than low diverse communities to score poorly on Domain 2, and increased odds of scoring poor on overall total HAC score. Although hospital quality of care is not intentionally segregated, its surrounding community is impacting its performance, thus policymakers need to accommodate the diversity of communities when developing pay-for-performance or merit-based initiatives.
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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 | 0.000 |
| 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