ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025
Feasibility and Acceptability of a Technology-Mediated Fall Risk Prevention Intervention for Older Adults With Mild Cognitive Impairment.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Care Partner Engagement in Fall Risk Management Programs for Community-Dwelling Older People with Cognitive Impairment: A Systematic Review.Clinical interventions in aging · 2025Pooled it
- "I had eyes on me to help me": a qualitative descriptive study on trust in passive monitoring systems among older adults with mild cognitive impairment.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Use of artificial intelligence to assess gait parameters in older adults with and without mild cognitive impairment.Innovation in aging · 2026Article
- Digital Health Technologies Applied in Patients With Early Cognitive Change: Scoping Review.Journal of medical Internet research · 2025Article
- Wearable Sensor Technologies and Gait Analysis for Early Detection of Dementia: Trends and Future Directions.Sensors (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundFalls and fall-related injuries are significant public health issues for adults 65 years of age and older. The annual direct medical costs in the United States as a result of falls are estimated to exceed $50 billion, and this estimate does not include the indirect costs of disability, dependence, and decreased quality of life. This project targets community-dwelling older adults (OA) with mild cognitive impairment (MCI) who are socially vulnerable and thus at high risk for falling.
methodsWe have developed an innovative technology-supported nursing-driven intervention called Sense4Safety to (a) identify escalating risk for falls real time through in-home passive sensor monitoring (including depth sensors); (b) employ machine learning to inform individualized alerts for fall risk; and (c) link "at risk" socially vulnerable OA with a coach who guides them in implementing evidence-based individualized plans to reduce fall risk. The purpose of this study was to assess the feasibility and acceptability of the Sense4Safety intervention through participant interviews.
resultsWe recruited a cohort of 11 low-income OA with MCI who received the intervention for 3 months. Our study findings indicate the overall feasibility of the intervention with most participants (n = 9; 82%) having confidence in the passive monitoring system to effectively predict fall risk and generate actionable and tailored information that informs educational and exercise components.
conclusionsPassive sensing technologies can introduce acceptable platforms for fall prevention for community-dwelling OA with MCI.
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Registered trials
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.