Impact of household characteristics on patient outcomes post hip fracture: a Welsh nationwide observational cohort study
Bibliographic record
Abstract
BACKGROUND: Hip fracture is common in older people and has significant health and care implications. This study aimed to examine the impact of household characteristics (living alone or living with someone who is themselves ill) on adverse outcomes following hip fracture. METHODS: A cohort study of hip fracture patients aged ≥ 50 years living alone or with one co-resident using Welsh nationwide data between January 2013 and December 2018. Outcomes were emergency hospital admission within 30 days and care-home admission and mortality within one year of hospital discharge. Analysis used cause-specific Cox proportional hazards models to examine associations with living alone and with co-resident chronic disease status. RESULTS: Of the 12,089 hip fracture patients discharged, 56.0% lived alone. Compared to hip fracture patients living with a co-resident, those living alone were more commonly women (78.4% versus 65.2%), older (mean 83.1 versus 78.5 years), and had more long-term conditions (mean 5.7 versus 5.3). In unadjusted analyses, compared to living with a co-resident with 0-1 long-term condition and no dementia, living alone (hazard ratio [HR] 1.44, 95%CI 1.23-1.68), living with someone with dementia (HR 1.57, 95%CI 1.07-2.30), and living with someone with 4 + physical long-term conditions (HR 1.24, 95%CI 1.03-1.49) were associated with an increase in mortality, but no significant association was found in adjusted analysis. Adjusted for age, sex, socioeconomic position, and long-term condition count of the hip fracture patient, living alone (adjusted HR [aHR] 2.26, 95%CI 1.81-2.81) and living with a co-resident with dementia (aHR 2.38, 95%CI 1.59-3.57) were both associated with more than double the risk of care home admission. There were no significant associations with 30-day hospital admission. CONCLUSIONS: Hip fracture patients who live alone have higher one-year mortality, but associations are explained by the demographic and clinical characteristics of those living alone. However, living alone or living with a co-resident with dementia was independently associated with an additional doubling of the risk of care home admission. Household-based approaches to research and health policy may help target risk groups following hip fracture community discharge and further research is needed to understand the mechanisms by which these associations act.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".