Health economic evaluation of Tuberculosis management based on digital technology

doi:10.19871/j.cnki.xfcrbzz.2025.02.011

Abstract

Abstract: Objective Evaluate the cost-effectiveness of the WeChat-based Integrated Mobile Management System for Tuberculosis Prevention and Control (refer to We-Supervision System) in tuberculosis control and prevention management. Method The study subjects were TB patients managed in Huizhou City from January 2019 to December 2023, with data sourced from the Huizhou TB Management System. A markov model was constructed to compare the cost-effectiveness of the We-Supervision system with two on-site supervision modes under the directly observed therapy shortcourse (DOTS) strategy. The model operates on an annual cycle over a 30-year time horizon. A 5% annual discount rate was used to discount costs and effects within the model, and net monetary benefit (NMB) was calculated for cost-effectiveness analysis. One-way and probabilistic sensitivity analyses were conducted to assess the impact of parameter uncertainty on the results. Result Compared with the two on-site management modes, the We-Supervision online management achieved a higher cure rate at a lower cost (with a cure rate of 0.4726 at an average cost of 3,681.50 RMB per person). Under the same cost, the effects (cure rates) of the two on-site management decreased by 0.0675 and 0.0831, respectively, compared to We-Supervision. Compared with the on-site management modes of medical staff home visits and patients visiting medical institutions, the NMB of We-Supervision online management were 8,015.39 RMB and 9,216.90 RMB, respectively. The effectiveness of various management strategies were the primary factors influencing the model outcomes. There was a 97.50% probability that the We-Supervision management is cost-effective, indicating that it has cost-effectiveness. Conclusion The We-Supervision System demonstrates cost-effective advantages in tuberculosis management by effectively reducing operational costs while achieving superior control outcomes,as a powerful supplement to the DOTS strategy, it can further improve the effect of tuberculosis prevention and control.

Key words: Digital technology, Tuberculosis, Cost-effectiveness analysis, Markov model

CLC Number:

Li Chengkun, Wang Jinhua, Liu Zhidong, Chen Hao, He Chuwen, Li Xiaofen, Chen Wenjie, Lin Yanwei. Health economic evaluation of Tuberculosis management based on digital technology[J]. Electronic Journal of Emerging Infectious Diseases, 2025, 10(2): 63-69.

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