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

Use and User Demographics of mHealth (335) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (488) Evaluation and Research Methodology for mHealth (207) Hypertension Prevention and Treatment (222) mHealth for Wellness, Behavior Change and Prevention (2865) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1393)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33189, first published .
Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data

Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data

Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data

Authors of this article:

Dan Wu1 Author Orcid Image ;   Xiaoyuan Huyan2 Author Orcid Image ;   Yutong She1 Author Orcid Image ;   Junbin Hu3 Author Orcid Image ;   Huilong Duan1 Author Orcid Image ;   Ning Deng1, 4, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Dan Wu   1 * , BSc ;   Xiaoyuan Huyan   2 * , MBBS ;   Yutong She   1 , BSc ;   Junbin Hu   3 , MBBS ;   Huilong Duan   1 , PhD ;   Ning Deng   1, 4, 5 , PhD

1 College of Biomedical Engineering and Instrument Science, Ministry of Education Key Laboratory of Biomedical Engineering, Zhejiang University, Hangzhou, China

2 The First Health Care Department, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China

3 Health Community Group of Yuhuan People's Hospital, Kanmen Branch, Taizhou, China

4 Alibaba–Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, China

5 Binjiang Institute of Zhejiang University, Hangzhou, China

*these authors contributed equally

Corresponding Author:

  • Ning Deng, PhD
  • College of Biomedical Engineering and Instrument Science
  • Ministry of Education Key Laboratory of Biomedical Engineering
  • Zhejiang University
  • 38 Zheda Rd, Zhouyiqing Bldg 512
  • Yuquan Campus
  • Hangzhou, 310000
  • China
  • Phone: 86 571 2295 2693
  • Email: zju.dengning@gmail.com