Factors That Influence the Reintegration to Normal Living for Older Adults 2 Years Post Hip Fracture
Bibliographic record
Abstract
Objectives: This study aims to identify factors that influence older adults’ reintegration to normal living 2 years following a hip fracture and the association between caregiver burden and reintegration over time. Methods: This longitudinal cohort study followed 76 community-dwelling older adults and their caregivers for 2 years post-hip fracture. The primary outcome was Reintegration to Normal Living Index (RNLI), and the secondary outcome was caregiver burden. Results: Older adults scored significantly lower on RNLI at 18 to 24 months if they had few social interactions, cognitive impairment, or lower pre-fracture functional status. During follow-up, greater independence in activities of daily living and greater mobility were each positively associated with RNLI. Caregiver burden reduced if reintegration improved. Implications: Results suggest a need for targeted interventions for older adults’ post-hip fracture to improve their function to enhance their reintegration to normal living and to support caregivers in decreasing their burden of care.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".