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

Diabetes Self-Management (511) Apps, Mobile, Wearables for Diabetes (320) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1486)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41501, first published .
Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample

Authors of this article:

Karim Zahed1 Author Orcid Image ;   Ranjana Mehta1 Author Orcid Image ;   Madhav Erraguntla1 Author Orcid Image ;   Khalid Qaraqe2 Author Orcid Image ;   Farzan Sasangohar1, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Karim Zahed   1 , BSc, MSc, PhD ;   Ranjana Mehta   1 , BSc, MSc, PhD ;   Madhav Erraguntla   1 , BSc, MTech, PhD ;   Khalid Qaraqe   2 , BSc, MSc, PhD ;   Farzan Sasangohar   1, 3 , BA, BCS, MASc, SM, PhD

1 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, United States

2 Texas A&M University in Qatar, Doha, Qatar

3 Center for Critical Care, Houston Methodist Hospital, Houston, TX, United States

Corresponding Author:

  • Farzan Sasangohar, BA, BCS, MASc, SM, PhD
  • Department of Industrial and Systems Engineering
  • Texas A&M University
  • 3131 TAMU
  • College Station, TX, 77843
  • United States
  • Phone: 1 9794582337
  • Email: sasangohar@tamu.edu