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中国防痨杂志 ›› 2020, Vol. 42 ›› Issue (8): 858-862.doi: 10.3969/j.issn.1000-6621.2020.08.015

• 论著 • 上一篇    下一篇

采用《结核病防治手机一体化管理系统》进行微信转诊和随访的效果评价

李晓芬(), 彭建明, 刘志东, 翁剑峰, 肖三华, 陈文杰, 吴丰鑫   

  1. 516000 东省惠州市结核病防治研究所
  • 收稿日期:2020-03-27 出版日期:2020-08-10 发布日期:2020-08-10
  • 通信作者: 李晓芬 E-mail:hzxxjhbfz@163.com
  • 基金资助:
    东省医学科研基金(B2018257)

Effectiveness evaluation of referral and follow-up on WeChat using “Mobile Phone Integrated Management System for Tuberculosis Prevention and Treatment” for tuberculosis

LI Xiao-fen(), PENG Jian-ming, LIU Zhi-dong, WENG Jian-feng, XIAO San-hua, CHEN Wen-jie, WU Feng-xin   

  1. Huizhou Tuberculosis Research Institute,Huizhou 516000,China
  • Received:2020-03-27 Online:2020-08-10 Published:2020-08-10
  • Contact: LI Xiao-fen E-mail:hzxxjhbfz@163.com

摘要:

目的 对惠州市《结核病防治手机一体化管理系统》的微信转诊和微信随访功能模块的应用效果进行评价,为完善系统提供依据。 方法 收集2016—2019年中国疾病预防控制中心《结核病信息管理系统》中结核病报告单位、可疑结核病患者和治疗管理患者的名单与《结核病防治手机一体化管理系统》信息进行比对,分析机构和患者使用情况。将2018—2019年微信转诊和随访功能应用后 (微信转诊的3883例可疑结核病患者和微信随访的1960例患者作为观察组)及2016—2017年微信转诊和随访功能应用前(12133例可疑结核病患者和5643例患者作为对照组)两组患者的各项指标(包括收到转诊单数、追踪患者例数、总到位患者例数、完成治疗患者例数、丢失患者例数、成功治疗患者例数等)进行比较分析。各种率的比较采用χ2检验,以P<0.05为差异有统计学意义。结果 (1)2018—2019年全市41.5%(3883/9364)的可疑患者、70.1%(96/137)的结核病报告机构使用微信转诊;52.7%(1960/3722)的确诊患者、100.0%(101/101)的结核病定点医疗机构和基层医疗卫生机构使用微信随访。(2)观察组结核病可疑者转诊率达100.0%(3883/3883),高于对照组[62.8%(7614/12133)],差异有统计学意义(χ2=2014.70,P<0.01);追踪率达100.0%(2077/2077),高于对照组[99.1%(7519/7584)],差异有统计学意义(χ2=17.92,P<0.01);到位率达85.5%(3320/3883),高于对照组[82.0%(9951/12133)],差异有统计学意义(χ2=25.16,P<0.01)。(3)观察组结核病患者的丢失率为0.4%(7/1573),低于对照组[1.8%(104/5643)],差异有统计学意义(χ2=15.87,P<0.01)。结论 微信转诊和微信随访功能使用后,提高了结核病可疑者转诊率、追踪率和到位率,降低了纳入治疗管理患者的丢失率,取得了较好的应用效果。

关键词: 结核, 管理信息系统, 便携式电话, 病人转诊, 病人医护管理, 数据说明, 统计

Abstract:

Objective To evaluate the application effect of WeChat referral and WeChat follow-up functional modules of the “Mobile Phone Integrated Management System for Tuberculosis Prevention and Control” in Huizhou, and provide a basis for perfecting the system. Methods The lists of tuberculosis reporting units, suspicious tuberculosis patients and patients receiving treatment management in the “Tuberculosis Management Information System” of the Chinese Center for Disease Control and Prevention from 2016 to 2019 were collected, and then compared with the information of “Mobile Phone Integrated Management System for Tuberculosis Prevention and Control” to analyze the usage of institutions and patients. After the application of the WeChat referral and follow-up function, the 3883 suspicious patients referred by WeChat and 1960 patients followed by WeChat in 2018-2019 were served as the observation group, and the 12133 suspicious patients and 5643 patients before the application in 2016-2017 were used as the control group, and then the indicators of the patients between the two groups, including the number of referrals received, the number of follow-ups, the total number of patients in place, the number of patients who completed treatment, the number of lost patients, and the number of successful treatments, were compared and analyzed. The χ2 test was used for the comparison of various rates, and P<0.05 was considered statistically significant. Results (1) From 2018 to 2019, 41.5% (3883/9364) of suspected patients and 70.1% (96/137) of tuberculosis reporting agencies used WeChat referrals; 52.7% (1960/3722) of confirmed patients, and 100.0% (101/101) of tuberculosis designated medical institutions and primary medical and health institution used WeChat follow-up. (2) The referral rate of suspicious pulmonary tuberculosis patients in the observation group (100.0% (3883/3883)) was higher than that in the control group (62.8% (7614/12133)), with the statistically significant difference (χ2=2014.70, P<0.01); the tracking rate reached 100.0% (2077/2077) in the observation group, which was higher than that in the control group (99.1% (7519/7584)) (χ2=17.92, P<0.01); and the in-place rate in the observation group was higher than that in the control group (85.5% (3320/3883) vs 82.0% (9951/12133), χ2=25.16, P<0.01). (3) The loss rate of pulmonary tuberculosis patients in the observation group was lower than that in the control group (0.4% (7/1573) vs 1.8% (104/5643), χ2=15.87, P<0.01). Conclusion The application of WeChat referral and follow-up improved the referral rate, follow-up rate and in-place rate of suspicious tuberculosis patients, as well as reduced the loss rate of patients included in treatment management, and achieved good application results.

Key words: Tuberculosis, Management information systems, Cellular phone, Patient transfer, Patient care management, Data interpretation, statistics