结核与肺部疾病杂志 ›› 2023, Vol. 4 ›› Issue (3): 223-228.doi: 10.19983/j.issn.2096-8493.20230055

• 论著 • 上一篇    下一篇

浙江省学校肺结核单病例自动预警效果分析

鲁琴宝(), 吴昊澄, 丁哲渊, 傅天颖, 吴晨, 林君芬   

  1. 浙江省疾病预防控制中心公共卫生监测与业务指导所,杭州 310051
  • 收稿日期:2023-04-06 出版日期:2023-06-20 发布日期:2023-06-16
  • 通信作者: 鲁琴宝,Email:qblu@cdc.zj.cn
  • 基金资助:
    浙江省科技厅重点研发计划(2021C03038)

Analysis on effect of automatic early warning of pulmonary tuberculosis cases in schools in Zhejiang Province

Lu Qinbao(), Wu Haocheng, Ding Zheyuan, Fu Tianying, Wu Chen, Lin Junfen   

  1. Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
  • Received:2023-04-06 Online:2023-06-20 Published:2023-06-16
  • Contact: Lu Qinbao, Email:qblu@cdc.zj.cn
  • Supported by:
    Major Science and Technology Project of the Science and Technology Department of Zhejiang Province(2021C03038)

摘要:

目的: 分析浙江省学校肺结核单病例预警在传染病自动预警系统(简称“预警系统”)中的应用效果。方法: 从浙江省传染病自动预警系统产生的肺结核预警信息(包括预警信号数量、信号响应时间及响应结果等)和同期传染病报告管理系统中搜集2018年7月6日至2022年12月31日学校肺结核病例个案信息。以2021年2月24日为界点,比较预警对象调整前后预警系统的预警效果。结果: 2018年7月6日至2022年12月31日,全省范围内预警系统共计发出35418条学校肺结核预警信号,信号数居前3位的地市分别为宁波市(7531条,21.26%)、温州市(6786条,19.16%)和杭州市(5344条,15.09%)。预警信号响应率为100.00%,及时响应率为97.60%(34567/35418),响应时间中位数(四分位数)[M(Q1,Q3)]为1.19(0.30,5.83)h。其中5498条(15.52%)信号经初步判断为疑似信号,经现场调查核实,符合预警对象的学校肺结核患者4714例,预警信号阳性预测值为13.31%(4714/35418)。调整预警对象后,每日预警信号数减少了-60.24%[(11.43-28.75)/28.75],疑似信号率上升了25.29%[(18.43-14.71)/14.71];不同诊断结果的疑似信号率[18.43%(1424/7728)]较调整前[14.71%(4074/27690)]明显提高,差异有统计学意义(χ2=63.256,P=0.000),其中,调整前、后病原学阳性[分别为17.94%(615/3429)和20.91%(586/2803)]和无病原学结果[12.81%(2316/18086)和14.80%(322/2175)]预警对象疑似信号率差异均有统计学意义(χ2=8.560,P=0.003;χ2=6.676,P=0.010)。结论: 浙江省肺结核单病例自动预警运行良好,可初步实现学校肺结核早期预警,通过调整预警对象可进一步提升预警应用效果。

关键词: 结核,肺, 学生, 公共卫生, 提醒者系统, 病人识别系统

Abstract:

Objective: To analyze the application effect of single case early warning of pulmonary tuberculosis in schools in Zhejiang Province in the automatic early warning system for infectious diseases (referred to as the “early warning system”). Methods: The case information of school pulmonary tuberculosis cases from July 6, 2018 to December 31, 2022 was collected from the early warning information of tuberculosis generated by the automatic early warning system of infectious diseases in Zhejiang Province (including the number of warning signals, signal response time, and response results, etc), and the report management system of infectious diseases in the same period. Using February 24, 2021 as the cut-off point, compare the warning effect of the warning system before and after the adjustment of the warning object. Results: From July 6, 2018 to December 31, 2022, a total of 35418 school pulmonary tuberculosis warning signals were issued by the provincial early warning system. The top three cities with the highest number of signals were Ningbo (7531, 21.26%), Wenzhou (6786, 19.16%) and Hangzhou (5344, 15.09%). The early warning signal response rate was 100.00%, the timely response rate was 97.60% (34567/35418), and the median response time (quartile)(M(Q1,Q3)) was 1.19 (0.30, 5.83) h. Among them, 5498 (15.52%) signals were initially judged as suspicious signals. After on-site investigation and verification, 4714 cases of school pulmonary tuberculosis were in line with the early warning target, and the positive predictive value of early warning signals was 13.31% (4714/35418). After adjusting the warning objects, the number of daily warning signals decreased by -60.24% ((11.43-28.75)/28.75), and the suspected signal rate increased by 25.29% ((18.43-14.71)/14.71). The suspected signal rate of different diagnostic results (18.43% (1424/7728)) was significantly higher than before adjustment (14.71% (4074/27690)), and the difference was statistically significant (χ2=63.256, P=0.000), of which, before and after adjustment, there was statistical difference in the suspected signal rate of early warning objects with etiological positive (17.94% (615/3429) and 20.91% (586/2803)) and no pathogen results (12.81% (2316/18086) and 14.80% (322/2175))(χ2=8.560,P=0.003; χ2=6.676,P=0.010). Conclusion: The automatic early warning of a single case of pulmonary tuberculosis in Zhejiang Province was operating well, which could preliminarily achieve the early warning of school pulmonary tuberculosis. By adjusting the warning objects, the application effect of early warning could be further improved.

Key words: Tuberculosis,pulmonary, Students, public health, Reminder systems, Patient identification systems

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