Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40370, first published .
Factors Associated With the Acceptance of an eHealth App for Electronic Health Record Sharing System: Population-Based Study

Factors Associated With the Acceptance of an eHealth App for Electronic Health Record Sharing System: Population-Based Study

Factors Associated With the Acceptance of an eHealth App for Electronic Health Record Sharing System: Population-Based Study

Journals

  1. Ke C, Mohammad E, Chan J, Kong A, Leung F, Shah B, Lee D, Luk A, Ma R, Chow E, Wei X. Team-Based Diabetes Care in Ontario and Hong Kong: a Comparative Review. Current Diabetes Reports 2023;23(7):135 View
  2. Huang J, Wong Y, Pang W, Mak F, Guan Y, Poon J, Tong E, Cheung C, Wong W, Cheung N, Ho C, Wong M. Usage of electronic health record (eHR) viewer among healthcare professionals (HCProfs): A territory-wide study of 3972 participants. International Journal of Medical Informatics 2023;177:105137 View
  3. Zhang C, Jiang W. Mobile app adoption comparison between U.S. and Chinese college students: information processing style and use frequency after download. Online Media and Global Communication 2024;3(1):108 View
  4. van Kessel R, Ranganathan S, Anderson M, McMillan B, Mossialos E. Exploring potential drivers of patient engagement with their health data through digital platforms: A scoping review. International Journal of Medical Informatics 2024;189:105513 View
  5. Mohammad A, Khanfar I, Al Oraini B, Vasudevan A, Suleiman I, Al-Momani A. User acceptance of health information technologies (HIT): an application of the theory of planned behavior. Data and Metadata 2024;3:394 View
  6. Leung W, Law S, Cheung M, Chang M, Lai C, Liu N. From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance. Internet Research 2024 View