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

mHealth for Telemedicine and Homecare (418) Telehealth and Telemonitoring (1713) Use and User Demographics of mHealth (344)

Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13772, first published .
Factors Determining Patients’ Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment

Factors Determining Patients’ Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment

Factors Determining Patients’ Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment

Authors of this article:

Saif Khairat1, 1 Author Orcid Image ;   Songzi Liu2 Author Orcid Image ;   Tanzila Zaman1 Author Orcid Image ;   Barbara Edson3 Author Orcid Image ;   Robert Gianforcaro3 Author Orcid Image
Article Authors Cited by (22) Tweetations (12) Metrics

Saif Khairat   1, 1 , MPH, PhD ;   Songzi Liu   2 , BA ;   Tanzila Zaman   1 , BSc ;   Barbara Edson   3 , RN, MBA, MHA ;   Robert Gianforcaro   3 , DO

1 School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

2 School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

3 UNC Health Care, Chapel Hill, NC, United States

Corresponding Author:

  • Saif Khairat, MPH, PhD
  • School of Nursing
  • University of North Carolina at Chapel Hill
  • Chapel Hill, NC
  • United States
  • Phone: 1 9198435413
  • Email: saif@unc.edu