结核病与肺部健康杂志 ›› 2018, Vol. 7 ›› Issue (1): 74-76.doi: 10.3969/j.issn.2095-3755.2018.01.017

• 短篇论著 • 上一篇    下一篇

基于微信的多功能肺结核防治管理信息系统应用效果评价

彭建明,刘志东,钟球,刘林华,陈亮(),李晓芬,翁剑峰,黄必为,陈文杰   

  1. 516000 广东省惠州市职业病防治院(彭建明、刘志东、李晓芬、 翁剑峰、黄必为、陈文杰);广东省结核病控制中心(钟球、陈亮);广东医科大学(刘林华)
  • 收稿日期:2018-03-05 出版日期:2018-03-30 发布日期:2018-07-24
  • 通信作者: 陈亮 E-mail:18928929722@126.com

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

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   

  1. Huizhou Occupational Disease Prevention and Control Hospital, Huizhou City of Guangdong Province, Huizhou 516000, China
  • Received:2018-03-05 Online:2018-03-30 Published:2018-07-24
  • Contact: Liang CHEN E-mail:18928929722@126.com

摘要:

收集2016—2017年惠州市结核病患者登记本、《中国疾病预防控制信息系统结核病管理信息系统》,以及《惠州市多功能肺结核防治管理信息系统》(简称“《信息系统》”)的数据,分析基于微信的《信息系统》使用前后的效果。使用《信息系统》前(2016年)疑似肺结核患者转诊信息准确率为81.0%(4973/6140),使用《信息系统》后(2017年)为98.0%(5910/6031),两者比较差异有统计学意义(χ 2=51.978,P<0.05);使用《信息系统》前疑似肺结核患者转诊信息1h到达率为56.0%(3438/6140),使用《信息系统》后为97.0%(5850/6031),两者比较差异有统计学意义(χ 2=384.618,P<0.05);使用《信息系统》前疑似肺结核患者追踪执行率为68.0%(41758/6140),使用《信息系统》后为97.0%(5850/6031),两者比较差异有统计学意义(χ 2=171.205,P<0.05);使用《信息系统》前肺结核患者管理通知单推送准确率为85.0%(2530/2977),使用《信息系统》后为99.0%(2640/2667),两者比较差异有统计学意义(χ 2=15.674,P<0.05);使用《信息系统》前肺结核患者管理通知单1h到达率为55.1%(1637/2977),使用《信息系统》后为98.0%(2614/2667),两者比较差异有统计学意义(χ 2=197.506,P<0.05)。基于微信的《信息系统》在结核病疑似肺结核患者转诊、肺结核追踪、肺结核患者推送方面效果显著。

关键词: 结核, 肺, 管理信息系统, 计算机通信网络, 结果与过程评价(卫生保健), 数据说明, 统计

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