Published on in Vol 2, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10019, first published .
Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities

Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities

Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities

Journals

  1. Loncar-Turukalo T, Zdravevski E, Machado da Silva J, Chouvarda I, Trajkovik V. Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers. Journal of Medical Internet Research 2019;21(9):e14017 View
  2. Geerds M, Nijmeijer W, Hegeman J, Vollenbroek-Hutten M. Mobile App for Monitoring 3-Month Postoperative Functional Outcome After Hip Fracture: Usability Study. JMIR Human Factors 2020;7(3):e16989 View
  3. Cornet V, Toscos T, Bolchini D, Rohani Ghahari R, Ahmed R, Daley C, Mirro M, Holden R. Untold Stories in User-Centered Design of Mobile Health: Practical Challenges and Strategies Learned From the Design and Evaluation of an App for Older Adults With Heart Failure. JMIR mHealth and uHealth 2020;8(7):e17703 View
  4. Pedell S, Borda A, Keirnan A, Aimers N. Combining the Digital, Social and Physical Layer to Create Age-Friendly Cities and Communities. International Journal of Environmental Research and Public Health 2021;18(1):325 View
  5. Furness K, Huggins C, Truby H, Croagh D, Haines T. Attitudes of Australian Patients Undergoing Treatment for Upper Gastrointestinal Cancers to Different Models of Nutrition Care Delivery: Qualitative Investigation. JMIR Formative Research 2021;5(3):e23979 View
  6. Fernandes A, Van Lenthe F, Vallée J, Sueur C, Chaix B. Linking physical and social environments with mental health in old age: a multisensor approach for continuous real-life ecological and emotional assessment. Journal of Epidemiology and Community Health 2021;75(5):477 View
  7. Haase K, Cosco T, Kervin L, Riadi I, O'Connell M. Older Adults’ Experiences With Using Technology for Socialization During the COVID-19 Pandemic: Cross-sectional Survey Study. JMIR Aging 2021;4(2):e28010 View
  8. Cosco T, Fortuna K, Wister A, Riadi I, Wagner K, Sixsmith A. COVID-19, Social Isolation, and Mental Health Among Older Adults: A Digital Catch-22. Journal of Medical Internet Research 2021;23(5):e21864 View
  9. Ghani M, Adler C, Yeung H. Patient Factors Associated with Interest in Teledermatology: Cross-sectional Survey. JMIR Dermatology 2021;4(1):e21555 View
  10. Simmich J, Mandrusiak A, Russell T, Smith S, Hartley N. Perspectives of older adults with chronic disease on the use of wearable technology and video games for physical activity. DIGITAL HEALTH 2021;7:205520762110199 View
  11. Garnett A, Northwood M, Ting J, Sangrar R. mHealth Interventions to Support Caregivers of Older Adults: Equity-Focused Systematic Review. JMIR Aging 2022;5(3):e33085 View
  12. Kamstra R, Boorsma A, Krone T, van Stokkum R, Eggink H, Peters T, Pasman W. Validation of the Mobile App Version of the EQ-5D-5L Quality of Life Questionnaire Against the Gold Standard Paper-Based Version: Randomized Crossover Study. JMIR Formative Research 2022;6(8):e37303 View
  13. Buhr L, Kaufmann P, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959 View
  14. Rao N, Tighe E, Feinberg I. The Dispersion of Health Information–Seeking Behavior and Health Literacy in a State in the Southern United States: Cross-sectional Study. JMIR Formative Research 2022;6(6):e34708 View
  15. Carpenter C, Ugwoaba U, Cardel M, Ross K. Using self-monitoring technology for nutritional counseling and weight management. DIGITAL HEALTH 2022;8:205520762211027 View
  16. Fortuna K, Kadakia A, Cosco T, Rotondi A, Nicholson J, Mois G, Myers A, Hamilton J, Brewer L, Collins-Pisano C, Barr P, Hudson M, Joseph K, Mullaly C, Booth M, Lebby S, Walker R. Guidelines to Establish an Equitable Mobile Health Ecosystem. Psychiatric Services 2023;74(4):393 View
  17. Jovanovic M, Mitrov G, Zdravevski E, Lameski P, Colantonio S, Kampel M, Tellioglu H, Florez-Revuelta F. Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns. Journal of Medical Internet Research 2022;24(11):e36553 View
  18. Wilczewski H, Soni H, Ivanova J, Ong T, Barrera J, Bunnell B, Welch B. Older adults' experience with virtual conversational agents for health data collection. Frontiers in Digital Health 2023;5 View
  19. Umoh E, Isiguzo C, Akwaowo C, Attai K, Ekpenyong N, Sabi H, Dan E, Obinna N, Uzoka F. Lessons learned on data collection for a digital health intervention—insights and challenges from Nigeria. SAGE Open Medicine 2023;11 View
  20. Chen Y, Turkson-Ocran R, Koirala B, Davidson P, Commodore-Mensah Y, Himmelfarb C. Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e46277 View
  21. Pinazo-Hernandis S, Redolat R, Martin A, Murciano-Hueso A. Older adults and use of video games. Innovation: The European Journal of Social Science Research 2024:1 View

Books/Policy Documents

  1. Pourroostaei Ardakani S, Wu X, Pan S, Gao X. Computer Science and Engineering in Health Services. View
  2. Jean P, Murphy E, Bates E. HCI International 2023 Posters. View
  3. Jean P, Murphy E, Bates E. Computers Helping People with Special Needs. View