Published on in Vol 1, No 2 (2018): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11569, first published .
A Fall Risk mHealth App for Older Adults: Development and Usability Study

A Fall Risk mHealth App for Older Adults: Development and Usability Study

A Fall Risk mHealth App for Older Adults: Development and Usability Study

Journals

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  18. Happe L, Sgraja M, Hein A, Diekmann R. 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 2022;9(1):e31823 View
  19. Frechette M, Fanning J, Hsieh K, Rice L, Sosnoff J. The Usability of a Smartphone-Based Fall Risk Assessment App for Adult Wheelchair Users: Observational Study. JMIR Formative Research 2022;6(9):e32453 View
  20. Tanwar R, Nandal N, Zamani M, Manaf A. Pathway of Trends and Technologies in Fall Detection: A Systematic Review. Healthcare 2022;10(1):172 View
  21. Liu N, Yin J, Tan S, Ngiam K, Teo H. Mobile health applications for older adults: a systematic review of interface and persuasive feature design. Journal of the American Medical Informatics Association 2021;28(11):2483 View
  22. Hessam M, Hosseinpour P, Vaezipour A, Mehravar M. Development of an Evidence-Based Progressive Web App to Promote Exercise Therapy and Telemonitoring for Individuals with Patello-Femoral Pain Syndrome: A Usability Study. Shiraz E-Medical Journal 2022;23(12) View
  23. Hsieh K, Frechette M, Fanning J, Chen L, Griffin A, Sosnoff J. The Developments and Iterations of a Mobile Technology-Based Fall Risk Health Application. Frontiers in Digital Health 2022;4 View
  24. Peters J, Abou L, Wong E, Dossou M, Sosnoff J, Rice L. Smartphone-based gait and balance assessment in survivors of stroke: a systematic review. Disability and Rehabilitation: Assistive Technology 2024;19(1):177 View
  25. Singh D, Goh J, Shaharudin M, Shahar S. A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study. JMIR mHealth and uHealth 2021;9(10):e23663 View
  26. Niemiec S, Wagas R, Vigen C, Blanchard J, Barber S, Schoenhals A. Preliminary User Evaluation of a Physical Activity Smartphone App for Older Adults. Health Policy and Technology 2022;11(3):100639 View
  27. Pérez-Rodríguez R, Villalba-Mora E, Valdés-Aragonés M, Ferre X, Moral C, Mas-Romero M, Abizanda-Soler P, Rodríguez-Mañas L. Usability, User Experience, and Acceptance Evaluation of CAPACITY: A Technological Ecosystem for Remote Follow-Up of Frailty. Sensors 2021;21(19):6458 View
  28. Elnaggar A, von Oppenfeld J, Whooley M, Merek S, Park L. Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study. JMIR Human Factors 2021;8(3):e25356 View
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  30. Jiang Y, Wang J. Technological Innovations and Data-Driven Support for Older Adults. JMIR Aging 2023;6:e48547 View
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  32. Mejía S, Su T, Washington F, Golinski S, Sosnoff J, Albert S. Everyday Experiences of Physical Function and Awareness of Fall Risk in Older Adulthood. Innovation in Aging 2023;7(4) View
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  34. Huang M, Ren Y, Wang X, Li X, Li L. What affects the use of smartphones by the elderly? A hybrid survey from China. National Accounting Review 2023;5(3):245 View
  35. Chan G, Alslaity A, Wilson R, Orji R. Feeling Moodie: Insights from a Usability Evaluation to Improve the Design of mHealth Apps. International Journal of Human–Computer Interaction 2024;40(19):5857 View
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  39. Murabito J, Faro J, Zhang Y, DeMalia A, Hamel A, Agyapong N, Liu H, Schramm E, McManus D, Borrelli B. Smartphone App Designed to Collect Health Information in Older Adults: Usability Study. JMIR Human Factors 2024;11:e56653 View
  40. Donawa A, Powell C, Wang R, Chih M, Patel R, Zinner R, Aronoff-Spencer E, Baker C. Designing Survey-Based Mobile Interfaces for Rural Patients With Cancer Using Apple’s ResearchKit and CareKit: Usability Study. JMIR Formative Research 2024;8:e57801 View
  41. Angonese G, Buhl M, Kuhlmann I, Kollmeier B, Hildebrandt A. 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 2024;11:e52310 View
  42. Azizan A. Challenges and opportunities in sensor-based fall prevention for older adults: a bibliometric review. Journal of Enabling Technologies 2024;18(4):306 View
  43. Zhang H, Kim H. Visualization Analysis of Elderly User Experience Design Using CiteSpace. Journal of Digital Contents Society 2024;25(9):2575 View
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  45. Alves S, Temme S, Motamedi S, Kura M, Weber S, Zeichen J, Pommer W, Baumgart A. Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis. JMIR Aging 2024;7:e55681 View