How Do Patients with Chronic Diseases Make Usage Decisions regarding Mobile Health Monitoring Service?

Author:

Meng Fanbo1ORCID,Zhang Xiaofei2,Guo Xitong3ORCID,Lai Kee-hung4,Zhao Xinli3ORCID

Affiliation:

1. School of Business, Jiangnan University, Wuxi 214122, China

2. Business School, Nankai University, Tianjin 300071, China

3. School of Management, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China

4. Faculty of Business, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Abstract

Objectives. The increasing population of patients with chronic diseases generates great challenge of chronic disease management. The occurrence of mobile health monitoring service (MHMS) is beneficial to chronic disease prevention and health promotion. The objective of this study is to investigate how patients with chronic diseases make usage decisions on MHMS. Study Design. A survey. Methods. 213 respondents with chronic diseases were asked to rate their level of health severity, negative health emotions, and health uncertainty avoidance. SmartPLS was used to test the measurement model. Results. Of 213 research respondents, 159 of them have one chronic disease, while 54 have more than one such disease. Perceived health severity of patients with chronic diseases positively influences MHMS usage intentions, while negative health emotions do not. Health uncertainty avoidance strengthens the effect of health severity but weakens the effect of negative health emotions on MHMS usage intentions. Conclusion. Patients with chronic diseases have a unique decision-making process regarding MHMS usage in which their special health-related factors and tendencies play a critical role in determining behavioral intentions.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

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2. Investigating the Efficacy of Behavioral Models to Predict Use of Health Technology: A Scoping Review;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2022-09

3. Effective Task Scheduling in Critical Fog Applications;Scientific Programming;2022-03-31

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