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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (573) JMIR Theme Issue: COVID-19 Special Issue (2452) Electronic Health Records (1053) Blockchain, Distributed Ledger Apps for Health and Medicine (85) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Outbreak and Pandemic Preparedness and Management (1727) eHealth Infrastructures (345) Clinical Informatics (1022)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33399, first published .
Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study

Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study

Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study

Authors of this article:

Chinyang Henry Tseng1 Author Orcid Image ;   Ray-Jade Chen2, 3 Author Orcid Image ;   Shang-Yu Tsai4 Author Orcid Image ;   Tsung-Ren Wu1 Author Orcid Image ;   Woei-Jiunn Tsaur1 Author Orcid Image ;   Hung-Wen Chiu4 Author Orcid Image ;   Cheng-Yi Yang5 Author Orcid Image ;   Yu-Sheng Lo4 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

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  1. Gaber H, Hassan L. Using mobile health apps during the Covid-19 pandemic in a developing country for business sustainability. Cogent Business & Management 2022;9(1) View
  2. Dutta B. What Motivates People to Adopt Personal Health Record? Understanding the Effect of Innovation and Context-Specific Threat on Personal Health Record Adoption Intention. International Journal of Human–Computer Interaction 2024;40(17):4831 View
  3. Wu T, Ho C. Blockchain Revolutionizing in Emergency Medicine: A Scoping Review of Patient Journey through the ED. Healthcare 2023;11(18):2497 View
  4. Mansoor C, Chettri S, Naleer H. Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques. Technology and Health Care 2024;32(6):4545 View