Health Outcomes of Older Adults after a Hospitalization for a Hip Fracture
Bibliographic record
Abstract
Background: Hip fractures in older adults often lead to adverse health outcomes, which may be related to time to surgery and longer hospital stays. The experience of older adults with hip fractures in New Brunswick is not known. Methods: This was a retrospective observational study. All hip fracture patients 65 years of age and older admitted to one hospital designated as a Level One Trauma Centre between April 1, 2015 and March 31, 2019 comprised the sample. Results: The majority (86.5%) received surgery within 48 hours and those who had surgery beyond this time frame had a significantly longer stay in acute care (OR: 3.79, 95% CI: 2.05-7.15). The mean total length of stay (Total-LOS) for patients discharged after their acute care needs were met was 9.8 days (SD=8.1) compared to patients experiencing delays in discharge for nonmedical reasons which was 26.3 days (SD=33.7). An extended stay in acute care (OR: 1.93, 95% CI: 1.09-3.43) and increasing age (OR: 1.03, 95% CI: 1.001-1.06) were associated with a higher likelihood of death at one year post-discharge. Time to surgery beyond 24 hours (OR: 2.80, 95% CI: 1.13-7.38) was associated with a higher likelihood of death 30 days post-discharge. Conclusions: Most patients had surgery within the national benchmark of less than 48 hours. The Total-LOS increased 2.5-fold in patients who remained in hospital after their acute care needs were met. A better understanding of patient characteristics, such as frailty, may better predict patients at risk for longer hospital stays and adverse health outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".