Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15873, first published .
Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study

Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study

Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study

Journals

  1. Gade J, Spindler H, Hollingdal M, Refsgaard J, Dittmann L, Frost L, Mahboubi K, Dinesen B. Predictors of Walking Activity in Patients With Systolic Heart Failure Equipped With a Step Counter: Randomized Controlled Trial. JMIR Biomedical Engineering 2020;5(1):e20776 View
  2. De La Torre S, Spruijt-Metz D, Farias A. Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey. JMIR Cancer 2021;7(2):e24828 View
  3. Vijayan V, Connolly J, Condell J, McKelvey N, Gardiner P. Review of Wearable Devices and Data Collection Considerations for Connected Health. Sensors 2021;21(16):5589 View
  4. Katrine W, Ritzel S, Caroline K, Marie L, Olsgaard B, Lasse S. Potentials and barriers of using digital tools for collecting daily measurements in multiple sclerosis research. DIGITAL HEALTH 2021;7:205520762110555 View
  5. van de Belt T, de Croon A, Freriks F, Blomseth Christiansen T, Eg Larsen J, de Groot M. Barriers to and Facilitators of Using a One Button Tracker and Web-Based Data Analytics Tool for Personal Science: Exploratory Study. JMIR Formative Research 2022;6(3):e32704 View
  6. Sheng Y, Doyle J, Bond R, Jaiswal R, Gavin S, Dinsmore J. Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial. DIGITAL HEALTH 2022;8:205520762211259 View
  7. Wannheden C, Roczniewska M, Hasson H, Karlgren K, von Thiele Schwarz U. Better self-care through co-care? A latent profile analysis of primary care patients' experiences of e-health–supported chronic care management. Frontiers in Public Health 2022;10 View
  8. Cilli E, Ranieri J, Guerra F, Ferri C, Di Giacomo D. Naturalizing digital and quality of life in chronic diseases: Systematic review to research perspective into technological advancing and personalized medicine. DIGITAL HEALTH 2022;8:205520762211448 View
  9. Reidy C, A’Court C, Jenkins W, Jani A, Ramos A, Morys-Carter M, Papoutsi C. ‘The plural of silo is not ecosystem’: Qualitative study on the role of innovation ecosystems in supporting ‘Internet of Things’ applications in health and care. DIGITAL HEALTH 2023;9:205520762211471 View
  10. Frodi D, Manea V, Diederichsen S, Svendsen J, Wac K, Andersen T. Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study. Journal of Personalized Medicine 2022;12(6):942 View
  11. Choudhury A, Asan O. Impact of using wearable devices on psychological Distress: Analysis of the health information national Trends survey. International Journal of Medical Informatics 2021;156:104612 View
  12. Jonvik K, King M, Rollo I, Stellingwerff T, Pitsiladis Y. New Opportunities to Advance the Field of Sports Nutrition. Frontiers in Sports and Active Living 2022;4 View
  13. Baumann M, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639 View
  14. Palavicini G. Intelligent Health: Progress and Benefit of Artificial Intelligence in Sensing-Based Monitoring and Disease Diagnosis. Sensors 2023;23(22):9053 View
  15. Kytö M, Koivusalo S, Tuomonen H, Strömberg L, Ruonala A, Marttinen P, Heinonen S, Jacucci G. Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors. JMIR Diabetes 2023;8:e43979 View
  16. Lee M, Song M, Bessette H, Roberts Davis M, Tyner T, Reid A. Use of wearables for monitoring cardiometabolic health: A systematic review. International Journal of Medical Informatics 2023;179:105218 View
  17. Kaplan D, Greenleaf M, Lam W. Wear With Care: A Call for Empirical Investigations of Adverse Outcomes of Consumer Health Wearables. Mayo Clinic Proceedings: Digital Health 2023;1(3):413 View
  18. Sandham M, Reed K, Cowperthwait L, Dawson A, Jarden R. Expensive Ornaments or Essential Technology? A Qualitative Metasynthesis to Identify Lessons From User Experiences of Wearable Devices and Smart Technology in Health Care. Mayo Clinic Proceedings: Digital Health 2023;1(3):311 View
  19. Johnsson N, Strandberg S, Tuvesson H, Fagerström C, Ekstedt M, Lindberg C. Delineating and clarifying the concept of self-care monitoring: a concept analysis. International Journal of Qualitative Studies on Health and Well-being 2023;18(1) View
  20. Rauzi M, Mealer M, Abbate L, Stevens-Lapsley J, Nearing K. Older Veterans’ Experiences of a Multicomponent Telehealth Program: Qualitative Program Evaluation Study. JMIR Formative Research 2023;7:e46081 View
  21. Doidge C, Frössling J, Dórea F, Ordell A, Vidal G, Kaler J. Social and ethical implications of data and technology use on farms: a qualitative study of Swedish dairy and pig farmers. Frontiers in Veterinary Science 2023;10 View
  22. Willingham T, Stowell J, Collier G, Backus D. Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities. International Journal of Environmental Research and Public Health 2024;21(1):79 View
  23. Bertelsen P, Bossen C, Knudsen C, Pedersen A. Data work and practices in healthcare: A scoping review. International Journal of Medical Informatics 2024;184:105348 View
  24. Tahsin F, Bahr T, Shaw J, Shachak A, Gray C. The relationship between treatment burden and the use of telehealth technologies among patients with chronic conditions: A scoping review. Health Policy and Technology 2024;13(2):100855 View
  25. Mattison G, Canfell O, Smith D, Forrester D, Reid D, Töyräs J, Dobbins C. “An excellent servant but a terrible master”: Understanding the value of wearables for self-management in people with cystic fibrosis and their healthcare providers – A qualitative study. International Journal of Medical Informatics 2024;189:105532 View

Books/Policy Documents

  1. De Dominicis S, Molinario E. Quantifying Quality of Life. View
  2. Andersen T, Fritsch J, Matthiesen S. Pervasive Computing Technologies for Healthcare. View