Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55199, first published .
Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study

Yunfan He   1 , MSc ;   Wei Zhu   2, 3 , PhD ;   Tong Wang   4, 5, 6 , PhD ;   Han Chen   7 , MD, PhD ;   Junyi Xin   8 , MS ;   Yongcheng Liu   9 , MS ;   Jianbo Lei   10, 11, 12 , MD, PhD ;   Jun Liang   1, 13, 14, 15 , MS

1 Center for Health Policy Studies, School of Public Health, Zhejiang University, Hangzhou, China

2 Department of Cardiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China

3 Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, China

4 School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, China

5 School of Basic Medical Sciences, Shandong University, Jinan, China

6 Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China

7 Department of Cardiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China

8 School of Information Engineering, Hangzhou Medical College, Hangzhou, China

9 Netease Group, Hangzhou, China

10 Clinical Research Center, Affiliated Hospital of Southwest Medical University, Luzhou, China

11 The First Affiliated Hospital, Hainan Medical University, Haikou, China

12 Center for Medical Informatics, Health Science Center, Peking University, Beijing, China

13 Department of AI and IT, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China

14 Key Laboratory of Cancer Prevention and Intervention,, China National Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China

15 School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, China

Corresponding Author:

  • Jun Liang, MS
  • Department of AI and IT
  • Second Affiliated Hospital, School of Medicine
  • Zhejiang University
  • 88 Jiefang Road, Shangcheng District
  • Hangzhou, 310000
  • China
  • Phone: 86 571-87783942
  • Fax: 86 571-87783526
  • Email: junl@zju.edu.cn