Abstract: Objective To verify the application effect of the active service model for drug-resistant tuberculosis (DR-TB) patients based on the trinity management system and the full-course management platform for infectious diseases,and to provide practical basis for improving the quality of DR-TB management. Method A non-randomized controlled trial design was adopted, and a total of 130 newly diagnosed DR-TB patients admitted to Chest Hospital of Guangxi Zhuang Autonomous Region from January 2022 to June 2024 were enrolled as study subjects. Among them, 50 newly diagnosed DR-TB patients admitted from January to December 2022 served as the control group, receiving routine nursing care; 80 newly diagnosed DR-TB patients admitted from January 2023 to June 2024 served as the intervention group, receiving routine nursing care plus the active service model.The active service model relies on“platform +SMS/WeChat+manual work”to achieve multi-subject collaborative management. A flowchart for supervised medication and follow-up management of DR-TB patients was formulated simultaneously,clarifying all process nodes and standardizing supervision and follow-up operations.Differences in core knowledge awareness rate, treatment adherence, and other indicators between the two groups were compared.At the end of the 12th month, the clinical outcome indicators were statistically analyzed based on the Per-Protocol Set (PPS). Result 124 patients completed the study (76 in the intervention group and 48 in the control group). At 1 week after intervention and 1-2 days before discharge, the awareness rate of core knowledge (96.1%,100.0%) and scores (83.2±4.9), (91.8±3.1) in the intervention group were significantly higher than those in the control group [75.0%,81.2%; (69.5±6.0), (79.2±4.3)], with all P<0.001. PPS analysis showed that at the end of 12 months, indicators such as the rate of on-time medication intake (75.0%) and on-time follow-up visits (81.6%) in the intervention group were significantly higher than those in the control group (47.9%,58.3%), while adverse outcomes including the loss to follow-up rate (15.8%) were significantly lower than those in the control group (31.2%), with all P<0.05.In the multidrug-resistant subgroup, the sputum mycobacterial conversion rate in the intervention group (88.0%) was significantly higher than that in the control group (37.5%), and the treatment interruption rate (8.0%) was significantly lower than that in the control group (37.5%), with all P<0.01. Conclusion Based on the trinity management system and the whole-process infectious disease management platform, the active service model for DR-TB patients can significantly improve the comprehensive management outcomes of DR-TB patients and effectively reduce the risks of adverse outcomes such as loss to follow-up and treatment interruption through standardized medication supervision and targeted follow-up processes.It is suitable for the DR-TB management

Key words: Trinity-based management system, Whole-process infectious disease management platform, Drug-resistant tuberculosis, Active service model, Treatment adherence, Sputum mycobacterial conversion rate