Health-related quality of life in home care recipients after a falls prevention intervention: a 6-month follow-up
Bibliographic record
Abstract
BACKGROUND: Falls in older adults are an increasingly important public health concern due to the expanding older population and contribute considerably to the global burden of disease. Home care recipients have a high incidence of falls and a low level of health-related quality of life (HRQOL). In this understudied group of older adults, exercise interventions could prevent falls, promote HRQOL and enable healthy ageing in the longer term. METHODS: The study is a single-blinded parallel-group randomized controlled trial, lasting 3 months with a follow-up at 6 months, conducted in primary care. The objective was to explore the effects of a falls prevention exercise programme post-intervention at a 6-month follow-up in home care recipients 67+ years with a history of falls. The Otago Exercise Programme lasting 3 months was performed. The primary outcome was HRQOL measured by the Short Form 36 Health Survey (SF-36). Linear mixed regression models and structural equation models were employed. RESULTS: At 6-month follow-up, the intervention group scored significantly higher on SF-36's physical component summary compared with the controls; 3.0 points, 95% confidence interval (CI) = 0.4, 5.6. This effect was mediated by an increased probability of maintaining exercise in the post-intervention period; odds ratio = 2.3 (CI = 1.1, 5.1). Exercising was associated with a 7.1-point increase in physical component summary (CI = 3.2, 10.9). CONCLUSION: A falls prevention exercise programme can improve physical HRQOL in home care recipients post-intervention. The exercise programme also led to longer-term changes in exercise behaviour mediating this effect.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".