Factors that influence the risk of falling after spinal cord injury: a qualitative photo-elicitation study with individuals that use a wheelchair as their primary means of mobility
Bibliographic record
Abstract
INTRODUCTION: Falls are a concern for wheelchair users with spinal cord injury (SCI). Falls can negatively impact the physical and psychological well-being of fallers. To date, the perspectives of wheelchair users with lived experiences of SCI on the contributors to falls has been understudied. Information about factors that influence fall risk would guide the development of effective fall prevention strategies. OBJECTIVES: To gain a comprehensive understanding of the factors that influenced the risk of falling as perceived by wheelchair users with SCI. DESIGN: A qualitative study using photo-elicitation interviews. SETTING: A Canadian SCI rehabilitation hospital and the participants' home/community environments. PARTICIPANTS: Twelve wheelchair users living in the community with chronic SCI. METHODS: Participants captured photographs of situations, places or things that they perceived increased and decreased their risk of falling. Semistructured photo-elicitation interviews were conducted to discuss the content of the photographs and explore perceptions of fall risk factors. A hybrid thematic analysis and the Biological, Behavioural, Social, Economic, and Environmental model were used as a framework to organise/synthesise the data. RESULTS: Overall, the findings indicated that the risk of falling was individualised, complex and dynamic to each person's life situation. Four main themes were revealed in our analysis: (1) Falls and fall risk caused by multiple interacting factors; (2) Dynamic nature of fall risk; (3) Single factors were targeted to reduce falls and fall-related injuries; and (4) Fall prevention experiences and priorities. CONCLUSIONS: Each wheelchair user encountered numerous fall risk factors in their everyday lives. Information from this study can be used to set priorities for fall prevention. Fall prevention initiatives should consider a wheelchair user's fall risks in a holistic manner, acknowledging that a person's current situation, as well as anticipating their fall risks and fall prevention needs, will change over time.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".