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

mHealth for Telemedicine and Homecare (266) Telehealth and Telemonitoring (1233) Use and User Demographics of mHealth (276)

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 Khairat 1, 1 Author Orcid Image ;   Songzi Liu 2 Author Orcid Image ;   Tanzila Zaman 1 Author Orcid Image ;   Barbara Edson 3 Author Orcid Image ;   Robert Gianforcaro 3 Author Orcid Image
Article Authors Cited by (17) Tweetations (13) 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, US

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

3 UNC Health Care, Chapel Hill, NC, US

Corresponding Author:

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