Knowledge about risk factors for falls and practice about fall prevention in older adults among physiotherapists in Nigeria
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Falling is a major health concern that has contributed significantly to older people's injury and loss of life worldwide, warranting the development of fall-prevention strategies, the success of which has been attributed to the levels of knowledge and practice about fall prevention among physiotherapists and other health professionals. The objective of this study was to determine the self-reported levels of knowledge on risk factors of fall and practices about fall prevention in older adults among physiotherapists in Nigeria. METHODS: Physiotherapists (N = 237) recruited from the six geopolitical zones of Nigeria completed a three-part structured questionnaire that asked questions about risk factors for fall and common practices for fall prevention using a 5-point-rated Likert scale. Data were analysed using descriptive analysis, chi-square, and Kruskal-Wallis tests. RESULTS: Among physiotherapists in Nigeria, 89% rated their level of knowledge about preventing falls among older adults as high, and 64% of them rated their level of practice on this topic as high. Among the individual items that measured knowledge, 40% of the participants reported a moderate level of knowledge about multiple medications as a risk factor for falls. Fifty percent of the participants reported a low level of practice of referral to other health care professionals, whereas 40% and 41% reported a moderate level of practice on documenting risk factors and treatment plans, respectively. There was no association between age, gender, or years of practice with levels of knowledge or practice. CONCLUSION: This study suggests that physiotherapists in Nigeria have adequate knowledge and practice for fall prevention in older adults. However, there are potential gaps in knowledge of risk factors, documentation, and referrals to other professions that may be addressed through developing context-specific fall-prevention clinical guidelines for practice in Nigeria.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".