Development of the Home Fall Hazard Checklist
Bibliographic record
Abstract
Objective. Home hazard assessment is particularly important following a fracture as a means of preventing subsequent fractures. The purpose of this study was to evaluate current checklists and evidence on home hazard to develop a usable self-administered checklist that could be used by adults to assess home hazards. Design. Review and observational, prospective study. Setting. Community dwelling. Participants. Nine adults (4 men, 5 women) were asked to review the checklist and provide feedback on whether items were relevant, comprehensive, and easy to understand. Intervention. A search for literature examining the causes of falls that focused on home hazards or behaviours was conducted, and causes were extracted. Using the combined list of home hazards, a draft checklist was created. The participants were asked to pilot the checklist through their home. Primary and Secondary Outcome. An initial iteration of the checklist was modified to reduce redundancy (by grouping certain items together), improve usability (by adding a “not applicable category”), and improve readability (by removing double-barrelled questions or rewriting certain items). Results. This process resulted in 74 items in 10 areas. On average, it took 10 minutes for the participants to complete the home walk-through while filling out the checklist. Conclusion. The fall hazard-home checklist is a new checklist designed to identify home fall hazards with the intended use of being either administered by self-report through memory or supported by a walk-about, and that could potentially be completed by a patient who has incurred a fall, fracture, a family member, or caregiver. Given the expense of home hazard assessments that involve a home visit, the validity of this method of detection warrants further investigation.
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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 | 0.035 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".