Evaluation of post-acute care and one-year outcomes among Medicare beneficiaries with hip fractures: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Post-acute care (PAC) services after hospitalization for hip fracture are typically provided in skilled nursing facilities (SNFs), inpatient rehabilitation facilities (IRFs), or at home via home health care (HHC). Little is known about the clinical course following PAC for hip fracture. We examined the nationwide burden of adverse outcomes by PAC setting in the year following discharge from PAC for hip fracture. METHODS: This retrospective cohort included Medicare Fee-for-Service beneficiaries > 65 years who received PAC services in U.S. SNFs, IRFs, or HHC following hip fracture hospitalization between 2012 and 2018. Individuals who had a fall-related injury (FRI) during PAC or received PAC services in multiple settings were excluded. Primary outcomes included FRIs, all-cause hospital readmissions, and death in the year following discharge from PAC. Cumulative incidences and incidence rates for adverse outcomes were reported by PAC setting. Exploratory analyses examined risk ratios and hazard ratios between settings before and after inverse-probability-of-treatment-weighting, which accounted for 43 covariates. RESULTS: Among 624,631 participants (SNF, 67.78%; IRF, 16.08%; HHC, 16.15%), the mean (standard deviation) age was 82.70 (8.26) years, 74.96% were female, and 91.30% were non-Hispanic White. Crude incidence rates (95%CLs) per 1000 person-years were highest among individuals receiving SNF care for FRIs (SNF, 123 [121, 123]; IRF, 105 [102, 107]; HHC, 89 [87, 91]), hospital readmission (SNF, 623 [619, 626]; IRF, 538 [532, 544]; HHC, 418 [414, 423]), and death (SNF, 167 [165, 169]; IRF, 47 [46, 49]; HHC, 55 [53, 56]). Overall, rates of adverse outcomes generally remained higher among SNF care recipients after covariate adjustment. However, inferences about the group with greater adverse outcomes differed for FRIs and hospital readmissions based on risk ratio or hazard ratio estimates. CONCLUSIONS: In this retrospective cohort study of individuals hospitalized for hip fracture, rates of adverse outcomes in the year following PAC were common, especially among SNF care recipients. Understanding risks and rates of adverse events can inform future efforts to improve outcomes for older adults receiving PAC for hip fracture. Future work should consider calculating risk and rate measures to assess the influence of differential time under observation across PAC groups.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".