Author
Listed:
- Meng Xiao
(School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China)
- Xun Lei
(School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China)
- Fan Zhang
(School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China)
- Zhenxing Sun
(Yuzhong Center for Disease Control and Prevention, Chongqing 400010, China)
- Vanessa Catherine Harris
(Amsterdam Institute for Global Health and Development and Department of Global Health University Medical Center, location AMC, University of Amsterdam, 1105 Amsterdam, The Netherlands)
- Xiaojun Tang
(School of Public Health and Management, Research Center for Medicine and Social Development, Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China)
- Lijing Yan
(Global Health Research Center, Duke Kunshan University, Kunshan 215316, China)
Abstract
Purpose : Increasing attention is being paid to the role of the intelligent self-management of hypertension under the context of increasing prevalence but limited medical resources. However, heterogeneity in interventions and outcome measures has hindered the interpretation of research evaluating mobile health technologies for hypertension control, and little study of such technology has been performed in China. Objective : This was a feasibility study aimed to understand patient and medical practitioners’ acceptance and experience of a mobile-phone based platform for the management of hypertensive patients. Methods : The model used behavioral incentives for daily blood pressure measurement and physician-facing prioritization of patients based on level of blood-pressure control. Patients were enrolled by purposive sampling. The platform was used for two-week blood pressure monitoring through WeChat, which simulated our future app. Qualitative interviews with patients and providers were conducted in time. Results : Twenty hypertensive patients and two providers were enrolled and used the platform throughout the two weeks. Patients reported daily home blood pressure monitoring to be simple, feasible and increased their health awareness. Specifically, patients self-reported that reminders, the daily frequency and time of monitoring, and positive reinforcement were important for maintaining adherence. Providers reported that they could manage patients more quickly and accurately, but reasonable feedback information was needed to avoid excessive increases in workload. Conclusion : The adoption of mobile-based technology to monitor patient’s blood pressure may provide a practical solution for managing patients in Chongqing, China. Patient health education and enhanced app functionality could improve patient compliance and satisfaction while reducing provider workload.
Suggested Citation
Meng Xiao & Xun Lei & Fan Zhang & Zhenxing Sun & Vanessa Catherine Harris & Xiaojun Tang & Lijing Yan, 2019.
"Home Blood Pressure Monitoring by a Mobile-Based Model in Chongqing, China: A Feasibility Study,"
IJERPH, MDPI, vol. 16(18), pages 1-13, September.
Handle:
RePEc:gam:jijerp:v:16:y:2019:i:18:p:3325-:d:265744
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