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Evaluation on the application effect of comprehensive management model for pulmonary tuberculosis patients / 公共卫生与预防医学
Article in Zh | WPRIM | ID: wpr-936442
Responsible library: WPRO
ABSTRACT
Objective To evaluate and analyze the feasibility and application effect of “DOTS + WeChat” in the treatment and management of tuberculosis patients. Methods From 2018 to 2019, a total of 2 420 active pulmonary tuberculosis patients were registered in Zibo City, and 1 988 patients meeting the inclusion criteria were selected as the research subjects. 836 patients were randomly enrolled under the “DOTS + WeChat” integrated management mode, while the other 1152 cases were treated with single DOTS management mode. The regular medication status, treatment and outcome, and core knowledge awareness of the two groups were analyzed by SPSS16.0 software, χ2- test and t- test methods. Result The “DOTS + WeChat” comprehensive management group had higher a regular medication rate (98.80%), coincidence rate of sputum test times (95.81%), and success rate of treatment (98.68%) than the single DOTS management group (92.10%, 90.19%, and 96.53%) (P=0.000, 0.000, 0.003). The rate of medical staff participating in supervision and management in the comprehensive management group (100%) was higher than that in the single management group (75.87%) (P=0.000). The complete follow-up rate in the consolidation period (100%) and the complete whole course follow-up rate (99.76%) were both higher than those in the single management group (P=0.000, 0.001). The awareness level of core knowledge in the comprehensive management group (78.58±4.32) was higher than that in the single management group (70.70±8.02) (P=0.000). Conclusion The application of WeChat management mode has a positive effect on the treatment and management of tuberculosis patients in Zibo City. It is a feasible and effective supplement and improvement to the current tuberculosis control and management measures, which is worthy of further promotion and exploration.
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Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Journal of Public Health and Preventive Medicine Year: 2022 Type: Article
Search on Google
Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Journal of Public Health and Preventive Medicine Year: 2022 Type: Article