This paper is in the following e-collection/theme issue:

Mobile Devices and Apps for Seniors and Healthy Aging (134) Focus Groups and Qualitative Research for Human Factors Research (770) Usability of Apps and User Perceptions of mHealth (899) mHealth for Telemedicine and Homecare (364) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1308) Mobile Health (mhealth) (2760) Wearable Devices and Sensors (816) Home Care (159) Aging in Place (229) Fitness Trackers and Smart Pedometers/Accelerometers (541) mHealth for Wellness, Behavior Change and Prevention (2739) Quantified Self and Wellness (70)

Published on in Vol 4, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29788, first published .
Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study

Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study

Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study

Authors of this article:

Ben Kim1 Author Orcid Image ;   Peyman Ghasemi2, 3 Author Orcid Image ;   Paul Stolee1 Author Orcid Image ;   Joon Lee2, 4, 5 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Journals

  1. Fowe I, Boot W. Understanding older adults’ attitudes toward mobile and wearable technologies to support health and cognition. Frontiers in Psychology 2022;13 View
  2. Shumba A, Montanaro T, Sergi I, Bramanti A, Ciccarelli M, Rispoli A, Carrizzo A, De Vittorio M, Patrono L. Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects. Sensors 2023;23(15):6896 View
  3. Kim H, Cho B, Jung J, Kim J. Attitudes and perspectives of nurses and physicians in South Korea towards the clinical use of person-generated health data. DIGITAL HEALTH 2023;9 View
  4. Dale C, Ambreen M, Kang S, Buchanan F, Pizzuti R, Gershon A, Rose L, Amin R. Acceptability of the Long-Term In-Home Ventilator Engagement virtual intervention for home mechanical ventilation patients during the COVID-19 pandemic: A qualitative evaluation. DIGITAL HEALTH 2024;10 View
  5. Dicianno B, Salh A, Morris L, Xiang Y, Ding D. Rehabilitation clinicians’ use of mainstream wireless technologies in practice: a scoping review. Disability and Rehabilitation: Assistive Technology 2024:1 View
  6. 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
  7. Khatiwada P, Yang B, Lin J, Blobel B. Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy. Journal of Personalized Medicine 2024;14(3):282 View
  8. Guardado S, Karampela M, Isomursu M, Grundstrom C. Use of Patient-Generated Health Data From Consumer-Grade Devices by Health Care Professionals in the Clinic: Systematic Review. Journal of Medical Internet Research 2024;26:e49320 View
  9. Sun S, Jiang L, Zhou Y. Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Izu L, Scholtz B, Fashoro I. Smart and Secure Embedded and Mobile Systems. View