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

mHealth for Patient Education (231) Consumer & Patient Education and Shared-Decision Making (679) Demographics of Users, Social & Digital Divide (739) Use and User Demographics of mHealth (335)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19531, first published .
Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study

Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study

Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study

Authors of this article:

Aisha Langford1 Author Orcid Image ;   Kerli Orellana1 Author Orcid Image ;   Jolaade Kalinowski1 Author Orcid Image ;   Carolyn Aird1 Author Orcid Image ;   Nancy Buderer2 Author Orcid Image
Article Authors Cited by (12) Tweetations (5) Metrics

Journals

  1. Calixte R, Rivera A, Oridota O, Beauchamp W, Camacho-Rivera M. Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey. International Journal of Environmental Research and Public Health 2020;17(18):6856 View
  2. Yang X, Yang N, Lewis D, Parton J, Hudnall M. Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study. Journal of Medical Internet Research 2021;23(2):e25809 View
  3. Khoong E, Olazo K, Rivadeneira N, Thatipelli S, Barr-Walker J, Fontil V, Lyles C, Sarkar U. Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses. npj Digital Medicine 2021;4(1) View
  4. Duplaga M, Turosz N. User satisfaction and the readiness-to-use e-health applications in the future in Polish society in the early phase of the COVID-19 pandemic: A cross-sectional study. International Journal of Medical Informatics 2022;168:104904 View
  5. Chettri S, Wang V, Balkin E, Rayo M, Lee C. Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators. JMIR mHealth and uHealth 2022;10(4):e32244 View
  6. Duplaga M. A Nationwide Natural Experiment of e-Health Implementation during the COVID-19 Pandemic in Poland: User Satisfaction and the Ease-of-Use of Remote Physician’s Visits. International Journal of Environmental Research and Public Health 2022;19(14):8338 View
  7. Mohammadi M, Rawassizadeh R, Sheikhtaheri A. A consumer-centered security framework for sharing health data in social networks. Journal of Information Security and Applications 2022;69:103303 View
  8. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  9. De Santis K, Mergenthal L, Christianson L, Zeeb H. Digital Technologies for Health Promotion and Disease Prevention in Older People: Protocol for a Scoping Review. JMIR Research Protocols 2022;11(7):e37729 View
  10. Mahmood A, Kim H, Chang C, Kedia S, Arshad H, Dillon P. mHealth Apps Use and Their Associations With Healthcare Decision-Making and Health Communication Among Informal Caregivers: Evidence From the National Cancer Institute’s Health Information National Trends Survey. American Journal of Health Promotion 2024;38(1):40 View
  11. Chen Z, Siegel L, Prutzman Y, Wiseman K. Characterizing perceived usability and its correlation with smoking cessation: An analysis of user assessments of the smoking cessation app quitSTART. Internet Interventions 2024;35:100714 View