ArticleJMIR aging2018
A Fall Risk mHealth App for Older Adults: Development and Usability Study.
Article in JMIR aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses 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.
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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
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- Mobile health (mHealth) technologies for fall prevention among older adults in low-middle income countries: bibliometrics, network analysis and integrative review.Frontiers in digital health · 2025Pooled it
- Mobile health applications for older adults: a systematic review of interface and persuasive feature design.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Article
- Designing interfaces for digital physical ability self-assessment: a user-centered iterative approach.Frontiers in digital health · 2026Article
- Initial participant perspectives about participating in an online, semi-supervised, cirrhosis-specific nutrition and exercise intervention.British journal of health psychology · 2025Article
- Article
- Designing Survey-Based Mobile Interfaces for Rural Patients With Cancer Using Apple's ResearchKit and CareKit: Usability Study.JMIR formative research · 2024Article
- Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment.JMIR human factors · 2024Article
- Smartphone App Designed to Collect Health Information in Older Adults: Usability Study.JMIR human factors · 2024Article
- Effectiveness of Gerontechnology Empowerment Program on Awareness and Use of Mobile Apps Among Older Adults for Instrumental Activities of Daily Living: Protocol for a Cluster Randomized Controlled Trial.JMIR research protocols · 2024Article
- Head Protection Device for Individuals at Risk for Head Injury due to Ground-Level Falls: Single Trauma Center User Experience Investigation.JMIR human factors · 2024Article
- Usability and feasibility of a tablet-based e-coach for older adults in rehabilitation units to improve nutrition and physical activity: a prospective pilot study.BMC geriatrics · 2023Article
- Mobile Technology for Falls Prevention in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Review
- Technological Innovations and Data-Driven Support for Older Adults.JMIR aging · 2023Article
- Everyday Experiences of Physical Function and Awareness of Fall Risk in Older Adulthood.Innovation in aging · 2023Article
- Lessons and Reflections From an Extended Co-design Process Developing an mHealth App With and for Older Adults: Multiphase, Mixed Methods Study.JMIR aging · 2022Article
- The Usability of a Smartphone-Based Fall Risk Assessment App for Adult Wheelchair Users: Observational Study.JMIR formative research · 2022Article
- Preliminary User Evaluation of a Physical Activity Smartphone App for Older Adults.Health policy and technology · 2022Article
- Iterative Development and Applicability of a Tablet-Based e-Coach for Older Adults in Rehabilitation Units to Improve Nutrition and Physical Activity: Usability Study.JMIR human factors · 2022Article
- Pathway of Trends and Technologies in Fall Detection: A Systematic Review.Healthcare (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundFalls are the leading cause of injury-related death in older adults. Due to various constraints, objective fall risk screening is seldom performed in clinical settings. Smartphones offer a high potential to provide fall risk screening for older adults in home settings. However, there is limited understanding of whether smartphone technology for falls screening is usable by older adults who present age-related changes in perceptual, cognitive, and motor capabilities.
objectiveThe aims of this study were to develop a fall risk mobile health (mHealth) app and to determine the usability of the fall risk app in healthy, older adults.
methodsA fall risk app was developed that consists of a health history questionnaire and 5 progressively challenging mobility tasks to measure individual fall risk. An iterative design-evaluation process of semistructured interviews was performed to determine the usability of the app on a smartphone and tablet. Participants also completed a Systematic Usability Scale (SUS). In the first round of interviews, 6 older adults participated, and in the second round, 5 older adults participated. Interviews were videotaped and transcribed, and the data were coded to create themes. Average SUS scores were calculated for the smartphone and tablet.
resultsThere were 2 themes identified from the first round of interviews, related to perceived ease of use and perceived usefulness. While instructions for the balance tasks were difficult to understand, participants found it beneficial to learn about their risk for falls, found the app easy to follow, and reported confidence in using the app on their own. Modifications were made to the app, and following the second round of interviews, participants reported high ease of use and usefulness in learning about their risk of falling. Few differences were reported between using a smartphone or tablet. Average SUS scores ranged from 79 to 84.
conclusionsOur fall risk app was found to be highly usable by older adults as reported from interviews and high scores on the SUS. When designing a mHealth app for older adults, developers should include clear and simple instructions and preventative strategies to improve health. Furthermore, if the design accommodates for age-related sensory changes, smartphones can be as effective as tablets. A mobile app to assess fall risk has the potential to be used in home settings by older adults.
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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.