Compliant flooring to prevent fall-related injuries: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Fall-related injuries can have serious consequences for older adults, including increased risk of dependence in daily activities and mortality. Compliant flooring is a passive intervention that may reduce the incidence and severity of fall-related injuries in healthcare settings, including acute and long-term care, but few sites have implemented compliant flooring, in part because synthesised evidence about key performance aspects has not been available. METHODS AND ANALYSIS: We will conduct a scoping review to address the question: what is presented about the biomechanical efficacy, clinical effectiveness, cost-effectiveness, and workplace safety associated with compliant flooring systems that aim to prevent fall-related injuries? We will conduct a comprehensive and systematic literature search of academic databases (AgeLine, CINAHL, EBM Reviews, MEDLINE (Ovid), SportDiscus and Web of Science) and grey literature (clinical trial registries, theses/dissertations, abstracts/conference proceedings and relevant websites). 2 team members will independently screen records (first titles and abstracts, then full text) and extract data from included records. Numerical and narrative analyses will be presented by theme (biomechanical efficacy, clinical effectiveness, cost-effectiveness, workplace safety). ETHICS AND DISSEMINATION: This scoping review responds to the information needs of healthcare decision-makers tasked with preventing fall-related injuries. This review will summarise evidence about compliant flooring as a potential intervention for preventing fall-related injuries in older adults and identify gaps in evidence and new avenues for research. Results will be especially useful in long-term care, but also applicable in acute care, assisted living and home care. We will disseminate the review's findings via open-access publications, conference presentations, a webinar, a Stakeholder Symposium and a Knowledge-to-Action Report.
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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 | 0.112 | 0.096 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.013 | 0.013 |
| Bibliometrics | 0.018 | 0.015 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.086 | 0.020 |
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".