Status
Conditions
Treatments
About
This single-centre, cross-sectional diagnostic study will determine whether the new self-completed Self-Assessment for Falls in the Elderly (SAFE) questionnaire can classify fall-risk level (low, moderate, high) in adults ≥ 60 years as accurately as the current clinician-administered international algorithm that mixes yes/no questions with physical tests; to do so, about 300 participants will (1) sign consent, (2) answer the 5-minute SAFE, and (3) undergo guideline assessment and tests by a clinician in the same visit, after which researchers will compare SAFE and clinician results for sensitivity, specificity, and predictive values, examine agreement and correlations, and give immediate risk-based prevention advice:
Falls are a leading cause of injury and death in older adults, and current assessments require trained staff; if SAFE proves equivalent, it could enable large-scale, low-cost self-screening and support future digital monitoring tools for fall prevention.
Full description
This single centre diagnostic accuracy study validates the Self Assessment for Falls in the Elderly (SAFE), an auto-questionnaire that converts the binary items and performance tests of the 2022 World Guidelines for Falls Prevention and Management into visual analogue scales (100 mm each). SAFE is completed without assistance in ≈ 5 min and yields a continuous score that can be stratified into low, moderate, or high fall risk categories. The reference standard is the full guideline algorithm-Three Key Questions, detailed fall history characterisation, Timed Up and Go, Five Times Sit to Stand, 4 m gait speed, and Short Physical Performance Battery-administered by a trained clinician after the participant has returned the SAFE form to prevent incorporation bias.
The study adopts a cross sectional design and will recruit 300 community dwelling adults aged ≥ 60 years attending the Geriatrics Department of Montpellier University Hospital over 6 months. Sample size (300) was calculated for expected sensitivity and specificity of 0.85, 30 % prevalence of moderate to high fall risk, 5 % absolute precision, two sided α = 0.05, and 90 % power. After informed consent and eligibility verification, participants complete a single study visit in the following order: (1) SAFE self completion, (2) guideline interview plus physical tests. No investigational product, device, imaging, or biospecimen collection is involved.
Statistical plan. For every SAFE VAS (visual analogue scale) item, optimal cut points will be derived from non parametric ROC analysis versus its binary analogue. The primary analysis compares the three level SAFE classification with the reference standard using contingency tables and reports sensitivity, specificity, positive and negative predictive values, likelihood ratios, diagnostic odds ratio, and area under the summary ROC curve with 95 % confidence intervals. Secondary analyses will explore Pearson or point biserial correlations between individual SAFE scores and continuous physical test results, apply multivariable ordinal logistic regression to evaluate whether age, sex, or comorbidity modify SAFE performance, and perform decision curve analysis to estimate net clinical benefit across plausible threshold probabilities. Missing data will be handled by complete case analysis.
Data quality and monitoring. Source data will be captured in an electronic case report form with automated range and consistency checks. The CHU Montpellier sponsor will conduct risk based on site and/or remote monitoring and centralised statistical data surveillance. All study documentation will be archived for 15 years in line with French regulations.
Ethics, safety, and dissemination. The protocol has been submitted to a French Comité de Protection des Personnes and the Agence Nationale de Sécurité du Médicament (category 3). Physical testing is performed by certified staff in a dedicated fall prevention clinic with immediate assistance available; adverse events are therefore not expected but will be recorded and reported according to Good Clinical Practice. Results-positive, negative, or inconclusive-will be published in peer reviewed journals and communicated to participants on request. Should SAFE demonstrate acceptable diagnostic accuracy, its simplicity will enable large scale, low cost self screening, integration into mobile health applications, and targeted allocation of fall prevention resources for older adults.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
300 participants in 1 patient group
Loading...
Central trial contact
Jean Baptiste ROBIAUD, MD
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal