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中国防痨杂志 ›› 2024, Vol. 46 ›› Issue (2): 145-150.doi: 10.19982/j.issn.1000-6621.20230284

• 论著 • 上一篇    下一篇

新疆维吾尔自治区和田地区“肺结核主动筛查+全疗程住院治疗”模式对患者发现的效果

张燕1, 王森路2, 日孜宛古力·热合曼3, 刘年强2, 王新旗2, 毛宏凯1, 王小敏1, 曹明芹1()   

  1. 1新疆医科大学公共卫生学院,乌鲁木齐 830011
    2新疆维吾尔自治区疾病预防控制中心结核病与麻风病防治中心,乌鲁木齐 830002
    3新疆维吾尔自治区和田地区疾病预防控制中心, 和田 848000
  • 收稿日期:2023-08-11 出版日期:2024-02-10 发布日期:2024-01-30
  • 通信作者: 曹明芹 E-mail:573596229@qq.com
  • 基金资助:
    新疆维吾尔自治区研究生科研创新项目(XJ2023G188)

Evaluation of the implementation effect of “Active Tuberculosis Screening+Full-Course Hospitalization” model for patient detection in Hotan Prefecture, Xinjiang Uygur Autonomous Region

Zhang Yan1, Wang Senlu2, Rizwanguli Rehman3, Liu Nianqiang2, Wang Xinqi2, Mao Hongkai1, Wang Xiaomin1, Cao Mingqin1()   

  1. 1School of Public Health, Xinjiang Medical University, Urumqi 830011, China
    2Tuberculosis and Leprosy Prevention and Control Centre, Xinjiang Uygur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830002, China
    3Hotan Prefecture Center for Disease Control and Prevention, Xinjiang Uygur Autonomous Region, Hotan 848000, China
  • Received:2023-08-11 Online:2024-02-10 Published:2024-01-30
  • Contact: Cao Mingqin E-mail:573596229@qq.com
  • Supported by:
    Xinjiang Uygur Autonomous Region Postgraduate Scientific Research Innovation Project(XJ2023G188)

摘要: 目的: 定量评价“肺结核主动筛查+全疗程住院治疗”模式在新疆维吾尔自治区(简称“新疆”)和田地区肺结核患者发现中的实施效果,为新疆肺结核防治工作的稳步推进提供科学依据。方法: 收集2012年1月至2021年12月新疆和田地区及未实施全疗程住院治疗策略的新疆其他地州肺结核报告发病数据。利用Joinpoint回归模型分析肺结核报告发病率的时间趋势。以2018年7月作为“肺结核主动筛查+全疗程住院治疗”模式干预时间点,根据是否设置对照地区,分别构建单组中断时间序列(interrupted time series,ITS)模型和设置对照的ITS模型(controlled interrupted time series,CITS)分析政策干预效果。结果: 2012—2021年新疆和田地区肺结核报告发病率最高为2018年的465.10/10万(10278例),最低为2021年的129.40/10万(3241例),总体呈现下降趋势(AAPC=-4.5%,P<0.05);2012—2018年肺结核报告发病率呈现上升趋势(APC=10.8%,P<0.05),2018—2021年肺结核报告发病率呈快速下降趋势(APC=-29.0%,P<0.05)。ITS模型分析显示,和田地区实施“肺结核主动筛查+全疗程住院治疗”模式后1个月(2018年7月),报告发病率增加16.859/10万(P=0.001),新型模式实施后的长期效果为肺结核报告发病率呈下降趋势(β3=-1.098,P<0.001)。CITS模型分析显示,和田地区在新型模式实施后1个月(2018年7月),肺结核报告发病率明显增加,增加量比对照地区高14.751/10万(P<0.001),新型模式实施后长期效果为肺结核报告发病率呈下降趋势,平均每月下降0.815/10万(β5+β7=-0.815, P<0.001),下降速度大于对照地区(β7=-0.931,P<0.001)。结论: 新疆和田地区实施“肺结核主动筛查+全疗程住院治疗”模式与肺结核报告发病率之间存在动态因果关系,该模式促使肺结核报告发病率在短暂地上升后呈现下降的长期趋势。实施该模式对控制结核病高负担地区肺结核疫情具有明显优势。

关键词: 结核,肺, 卫生政策, 结果评价(卫生保健), 模型,统计学

Abstract: Objective: To quantitatively evaluate the effectiveness of the “Active Tuberculosis Screening+Full-Course Hospitalization” model in the detection of tuberculosis patients in Hotan Prefecture of Xinjiang Uygur Autonomous Region, and to provide a scientific basis for the steady advancement of tuberculosis prevention and treatment in Xinjiang. Methods: The reported incidence data of tuberculosis patients in Hotan Prefecture of Xinjiang and other prefectures without full-course hospitalization strategy from January 2012 to December 2021 were collected. Joinpoint regression model was used to analyze the time trend of reported incidence of tuberculosis. Taking July 2018 as the policy intervention time point of the “Active Tuberculosis Screening+Full-Course Hospitalization” model, the interrupted time series (ITS) model and controlled interrupted time series (CITS) model were constructed according to whether the control area was set up or not, to analyze the effect of policy intervention. Results: The highest reported incidence of tuberculosis in Hotan Prefecture from 2012 to 2021 was 465.10/100000 (n=10278) in 2018, and the lowest incidence was 129.40/100000 (n=3241) in 2021, with an overall decreasing trend (AAPC=-4.5%, P<0.05); reported incidence of tuberculosis from 2012 to 2018 showed an increasing trend (APC=10.8%, P<0.05), while reported incidence of tuberculosis from 2018 to 2021 showed a rapid decreasing trend (APC=-29.0%, P<0.05). The ITS model analysis showed that one month after the implementation of the “Active Tuberculosis Screening+Full-Course Hospitalization” model in Hotan Prefecture (July, 2018), the reported incidence increased by 16.859/100000 (P=0.001), and the long-term effect of the implementation of the new model was a decreasing trend in the reported incidence of tuberculosis (β3=-1.098, P<0.001). The CITS model analysis showed that reported incidence of tuberculosis in Hotan Prefecture increased significantly one month after the implementation of the new model (July, 2018), with an increase of 14.751/100000 (P<0.001) higher than that in the control area, and the long-term effect of the implementation of the new model was a decreasing trend in the reported incidence of tuberculosis, with an average monthly decrease of 0.815/100000 (β5+β7=-0.815, P<0.001), and the rate of decline was greater than that in the control area (β7=-0.931, P<0.001). Conclusion: There is a dynamic causal relationship between the implementation of the “Active Tuberculosis Screening+Full-Course Hospitalization” model and reported incidence of tuberculosis in the Hotan Prefecture of Xinjiang, and the new model has contributed to a long-term trend of decreasing reported incidence after a short-lived increase. The implementation of this model has obvious advantages for controlling tuberculosis epidemics in areas with a high tuberculosis burden.

Key words: Tuberculosis, pulmonary, Health policy, Outcome assessment (Health Care), Models, Statistical

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