ArticleJMIR mHealth and uHealth2021
A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study.
Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- National implementation of a digital Parkinson's disease screening programme in Thailand: reach, adoption, and real-world performance of the CheckPD app.BMC public health · 2026Article
- Exploring the Current Tools for Fall Risk Assessment in Older Adults Across Southeast Asia and the Need for Culturally Adapted Models: A Scoping Review.Therapeutics and clinical risk management · 2026Review
- SeniorHealth Tracker application to support the elderly: technological innovation leveraging humanisation.Frontiers in digital health · 2026Article
- Development of an Artificial Intelligence-Based System for Predicting Fall Risk in Neurological Patients.Sovremennye tekhnologii v meditsine · 2026Article
- Using 3D skeleton tracking for gait analysis in older adults compared to a kinect-based mobility analysis system.BMC geriatrics · 2025Article
- Home-Based Exercise and Fall Prevention in Older Adults: Development, Validation and Usability of theJMIR aging · 2025Article
- Dynamic transitions in falls and physical activity among older adults in Malaysia: a longitudinal multi-state analysis.BMC public health · 2025Article
- Article
- Development and Evaluation of Content Validity and Acceptance of a Multidomain Intervention Module for Reversal of Cognitive Frailty Among Older Adults.Clinical interventions in aging · 2024Article
- Wearable Devices in Diving: Scoping Review.JMIR mHealth and uHealth · 2022Article
- App-Based Evaluation of Older People's Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study.JMIR aging · 2022Article
- Transition from MHealth FallSADigital healthArticle
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent falls prevention guidelines recommend early routine fall risk assessment among older persons.
objectiveThe purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons.
methodsFallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively.
resultsThe findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P<.001) and agreement (k=.516, P<.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA also had good reliability (intraclass correlation .948; 95% CI .921-.966) and an internal consistency (α=.948, P<.001). FallSA score demonstrated a moderate to strong discriminative ability in classifying fallers and nonfallers. FallSA had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and area under the curve of 0.802.
conclusionsThese results suggest that FallSA is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA to self-screen for falls and thereafter to seek early prevention intervention.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.