Exploring tuberculosis patients' preferences for AI-assisted remote health management services in China: a protocol for a discrete choice experiment.

Journal: BMJ open
Published Date: Jul 7, 2025

Abstract

INTRODUCTION: Effective health management is critical for patients with tuberculosis (TB), especially given the need for long-term treatment adherence and continuous monitoring. Artificial intelligence (AI)-assisted remote health management services offer a promising solution to increase patient engagement, optimise follow-up and improve treatment outcomes. However, little research has explored TB patients' preferences for these services, and no discrete choice experiment (DCE) has systematically investigated how they make trade-offs between different service attributes. This study aims to (1) identify key attributes of AI-assisted remote health management services that influence TB patients' choices, (2) assess how patients with TB evaluate trade-offs between different service options using a DCE and (3) examine whether preferences vary by sociodemographic characteristics and health system factors.

Authors

  • Xiaojun Wang
    Department of Plastic and Aesthetic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Luo Xu
    School of Microelectronics and Communication Engineering, Chongqing University, 174 ShaPingBa District, Chongqing, 400044, China.
  • Qian Fu
    Huazhong University of Science and Technology, School of Medicine and Health Management, Wuhan, China fuqian@hust.edu.cn.
  • Dong Lang
    Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Rongping Huang
    Huazhong University of Science and Technology, School of Medicine and Health Management, Wuhan, China.

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