Risk factors, incidence, consequences and prevention strategies for falls and fall‐injury within older indigenous populations: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To examine the risk factors, incidence, consequences and existing prevention strategies for falls and fall-related injury in older indigenous people. METHODS: Relevant literature was identified through searching 14 electronic databases, a range of institutional websites, online search engines and government databases, using search terms pertaining to indigenous status, injury and ageing. RESULTS: Thirteen studies from Australia, the United States, Central America and Canada were identified. Few studies reported on fall rates but two reported that around 30% of indigenous people aged 45 years and above experienced at least one fall during the past year. The most common hospitalised fall injuries among older indigenous people were hip fracture and head injury. Risk factors significantly associated with falls within indigenous populations included poor mobility, a history of stroke, epilepsy, head injury, poor hearing and urinary incontinence. No formally evaluated, indigenous-specific fall prevention interventions were identified. CONCLUSION: Falls are a significant and growing health issue for older indigenous people worldwide that can lead to severe health consequences and even death. No fully-evaluated, indigenous-specific fall prevention programs were identified. Implications for Public Health: Research into fall patterns and fall-related injury among indigenous people is necessary for the development of appropriate fall prevention interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".