Application effects evaluation of WeChat-based multi-functional information system for tuberculosis control and management

doi:10.3969/j.issn.2095-3755.2018.01.017

Abstract

Abstract:

The related data and information during 2016 and 2017 were collected from the Registration Form of Diagnosed Tuberculosis (TB) Patients in Huizhou City, the National TB Recording & Reporting System of Chinese CDC and the Huizhou City WeChat-based Multi-functional Information System for TB Control and Management (hereinafter referred as the “Information System”). The effects before and after using WeChat-based Information System were compared. In 2016, before the Information System was used, the accuracy rate of the TB suspects’ referral information was 81.0% (4973/6140), but this rate increased to 98.0% (5910/6031) after the Information System was used in 2017, and the difference of the accuracy rate before and after using the Information System was statistically significant (χ ²=51.978, P<0.05); the referral information arrival rate within 1 hour of the TB suspects was 56.0% (3438/6140) before the Information System was used, but the rate was 97.0% (5850/6031) after the Information System was used, and the difference of the information arrival rate before and after using the Information System was statistically significant (χ ²=384.618, P<0.05); before the Information System was used, the tracing rate of TB suspects was 68.0% (41758/6140), however the tracing rate increased to 97.0% (5850/6031) after using the Information System, and there was significant difference (χ ²=171.205, P<0.05); the accuracy rate of the notice letter for TB patients management was 85.0% (2530/2977) before using the Information System, but this rate increased to 99.0% (2640/2667) after using the Information System, and the difference was statistically significant (χ ²=15.674, P<0.05); the arrival rate of the notice letter for TB patients management within 1 hour was 55.0% (1637/2977) before using the Information System, but the arrival rate within 1 hour increased to 98.0% (2614/2667) after the Information System was used, and the difference was statistically significant (χ ²=197.506, P<0.05). The WeChat-based Information System has significant effects on TB suspect referral, TB suspect/patient tracking and TB patient management.

Key words: Tuberculosis, pulmonary, Information system on management, Computer communication network, Outcome and process assessment (health care), Data interpretation, statistical

Jian-ming PENG,Zhi-dong LIU,Qiu ZHONG,Lin-hua LIU,Liang CHEN,Xiao-fen LI,Jian-feng WENG,Bi-wei HUANG,Wen-jie CHEN. Application effects evaluation of WeChat-based multi-functional information system for tuberculosis control and management[J]. Journal of Tuberculosis and Lung Health , 2018, 7(1): 74-76. doi: 10.3969/j.issn.2095-3755.2018.01.017

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