Psychoeducation for fall prevention among community-dwelling older people: A scoping review
Bibliographic record
Abstract
Community-dwelling older people (CDOP) face important risks of falling, a leading cause of chronic pain and transitions into long-term disability. While exercise-based interventions are widely studied for fall prevention, psychoeducation may play an important preventive role. Nevertheless, psychoeducation for fall prevention remains underexplored. This study aimed to describe existing psychoeducation for fall prevention among CDOP, identify its key components, and derive recommendations to inform future interventions. Using a scoping review design, we selected 20 studies with focus on psychoeducation for fall prevention. Findings revealed that all selected studies incorporated at least one of the four psychoeducation elements described by Anderson et al. Key aspects including mode of delivery, intervention facilitator, and educational resources are described, but literature lacks convergence. Moreover, theory-based psychoeducation programs and integration of technology and interactive delivery methods are underexplored. Implications for the design of a psychoeducation program for fall prevention in CDOP are discussed.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".