Abstract:

Objective: To explore the use and influencing factors of mobile WeChat tuberculosis management system (referred to as “micro-surveillance”) after its comprehensive promotion in Huizhou. Methods: The retrospective research method was used to collect the data of tuberculosis patients registered in Huizhou micro-surveillance promotion area from January to December 2021, including the medical record data of people using micro-surveillance at different times, in different regions and with different characteristics, and analyzed the use of micro-surveillance in tuberculosis patients. Logistic regression model was used to analyze the influencing factors of micro-surveillance in tuberculosis patients. Results: In 2021, a total of 1714 tuberculosis patients were registered in Huizhou micro-surveillance promotion area, 764 patients were included in micro-surveillance management, and the use rate of micro-surveillance was 44.57%. The results of multivariate logistic regression analysis showed that those from Huidong County (OR=1.532, 95%CI: 1.154-2.035), Longmen County (OR=1.654, 95%CI: 1.165-2.347), Zhongkai District (OR=3.157, 95%CI: 1.263-7.896), and were employed as farmers (OR=1.541, 95%CI: 1.198-1.982), patients with symptomatic visits (OR=1.308, 95%CI: 1.016-1.684) had a higher usage rate of micro-surveillance. Conclusion: Micro-surveillance had a certain degree of scalability in Huizhou City, especially suitable for promotion among patients from Huidong County, Longmen County, Zhongkai District, farmers, and symptomatic patients.

Key words: Tuberculosis, Computer communication networks, Factor analysis, statistical