Recovery of Function Following a Hip Fracture in Geriatric Ambulatory Persons Living in Nursing Homes: Prospective Cohort Study
Bibliographic record
Abstract
OBJECTIVES: To measure 1-year post-hip fracture functional recovery, health-related quality of life (HRQL), and mortality in nursing home residents. DESIGN: Prospective longitudinal cohort study. SETTING AND PARTICIPANTS: Ambulatory nursing home residents with or without impaired cognition consecutively admitted with hip fracture to three Canadian tertiary-care hospitals from March 2008 through November 2009. MEASUREMENTS: Participants or proxy respondents completed the Functional Independence Measure Motor score (FIM(motor) ) and EuroQol5D index score (EQ-5D(index) ) in the hospital (prefracture status) and 3, 6, and 12 months after fracture. Complications over the first postfracture year were also ascertained; the primary outcome was functional recovery (change in FIM(motor) score). RESULTS: Of 92 eligible participants, 60 (64%) were enrolled. The mean age was 86.9 ± 8.1, 42 (70%) were female, and 45 (75%) had three or more comorbidities. Forty-three (72%) walked independently with or without aids before fracture. By 12 months, 27 (45%) participants had died, and 10 (17%) had withdrawn. Of the remaining 23 participants, functional status according to FIM(motor) score dropped substantially and significantly after the fracture (3 months, 34.0 ± 19.7; 6 months, 33.2 ± 19.7; 12 months, 32.0 ± 20.0; P < .001 from a baseline FIM(motor) score of 50.1 ± 16.1). By 12 months after the fracture, only eight (35%) were walking independently, and 11 (48%) were no longer ambulatory. HRQL according to the EQ-5D(index) also decreased significantly (P = .003), from 0.62 ± 0.20 before fracture to 0.42 ± 0.30 by 12 months after fracture. CONCLUSION: Hip fracture for nursing home residents was associated with substantial loss of functional independence, ambulation, and HRQL. Little recovery was evident after the first 3 months; there was almost 50% mortality within 12 months.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".