The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study.

Journal: BMC public health
PMID: 39169305

Abstract

BACKGROUND: Chatbots can provide immediate assistance tailored to patients' needs, making them suitable for sustained accompanying interventions. Nevertheless, there is currently no evidence regarding their acceptability by hypertensive patients and the factors influencing the acceptability in the real-world. Existing evaluation scales often focus solely on the technology itself, overlooking the patients' perspective. Utilizing mixed methods can offer a more comprehensive exploration of influencing factors, laying the groundwork for the future integration of artificial intelligence in chronic disease management practices.

Authors

  • Ping Chen
    Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Yi Li
    Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China.
  • Xuxi Zhang
    Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
  • Xinglin Feng
    Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China. fxl@bjmu.edu.cn.
  • Xinying Sun
    Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China. xysun@bjmu.edu.cn.

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