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A WeChat-Based Self-Management Intervention for Community Middle-Aged and Elderly Adults with Hypertension in Guangzhou, China: A Cluster-Randomized Controlled Trial

Author

Listed:
  • Xiaowen Li

    (Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
    The authors contributed equally to the work.)

  • Tong Li

    (Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
    The authors contributed equally to the work.)

  • Jianying Chen

    (Baiyun Community Healthcare Center, Guangzhou 510080, China)

  • Yuanling Xie

    (Baiyun Community Healthcare Center, Guangzhou 510080, China)

  • Xia An

    (Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Yunhong Lv

    (Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Aihua Lin

    (Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
    Department of Health Service and Management, Xinhua College of Sun Yat-sen University, Guangzhou 510080, China)

Abstract

This study aimed to assess whether a WeChat-based self-management intervention would be effective for community middle-aged and elderly adults with hypertension in Guangzhou, China. We conducted a cluster-randomized control trial with a total of 464 participants (intervention, n = 186; control, n = 276) between March 2018 and May 2019. The self-management intervention lasted for 6 months, consisting of health education, health promotion, group chat, and blood pressure (BP) monitoring. All individuals in the baseline and follow-up surveys were assessed for BP and completed a hypertension knowledge questionnaire, self-efficacy scale, self-management scale, and social support scale. A total of 253 participants (intervention, n = 110; control, n = 143) completed the follow-up survey and were included in the analysis. The adjusted mean differences in the changes in systolic blood pressure (SBP) and diastolic blood pressure (DBP) between the intervention and control groups were −6.9 (95% Confidence Interval (CI) −11.2 to −2.6; p = 0.002) and −3.1 (95% CI −5.7 to −0.6; p = 0.016) mmHg, respectively. Individuals who participated in the intervention program had better BP monitoring, improved their hypertension self-management as well as parts of their disease knowledge and self-efficacy. The WeChat-based self-management intervention may be a feasible and efficient program to help Chinese community middle-aged and elderly hypertensive patients lower BP and improve self-management.

Suggested Citation

  • Xiaowen Li & Tong Li & Jianying Chen & Yuanling Xie & Xia An & Yunhong Lv & Aihua Lin, 2019. "A WeChat-Based Self-Management Intervention for Community Middle-Aged and Elderly Adults with Hypertension in Guangzhou, China: A Cluster-Randomized Controlled Trial," IJERPH, MDPI, vol. 16(21), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:21:p:4058-:d:279286
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    References listed on IDEAS

    as
    1. Aihua Lin & Guanrong Zhang & Zhiting Liu & Jing Gu & Weiqing Chen & Futian Luo, 2014. "Community-Based Lifestyle Intervention for Reducing Blood Pressure and Glucose among Middle-Aged and Older Adults in China: A Pilot Study," IJERPH, MDPI, vol. 11(11), pages 1-19, November.
    2. Jiaoling Huang & Tao Zhang & Luan Wang & Dongfeng Guo & Shanshan Liu & Wei Lu & Hong Liang & Yimin Zhang & Chengjun Liu, 2019. "The effect of family doctor–contracted services on noncommunicable disease self‐management in Shanghai, China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(3), pages 935-946, July.
    3. Katherine L Tucker & James P Sheppard & Richard Stevens & Hayden B Bosworth & Alfred Bove & Emma P Bray & Kenneth Earle & Johnson George & Marshall Godwin & Beverly B Green & Paul Hebert & F D Richard, 2017. "Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis," PLOS Medicine, Public Library of Science, vol. 14(9), pages 1-29, September.
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