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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (10): 1618-1626.doi: 10.19982/j.issn.1000-6621.20260175

• 论著 • 上一篇    下一篇

2005—2024年云南省肺结核患者就诊延迟变化趋势及相关因素分析

周丽娟1, 吴蔚2, 陈金瓯2, 杨云斌2, 刘良丽2, 李玲2, 许琳2()   

  1. 1 昆明医科大学公共卫生学院, 昆明 650500
    2 云南省疾病预防控制中心结核病防治所, 昆明 650500
  • 收稿日期:2026-03-31 出版日期:2026-10-10 发布日期:2026-09-30
  • 通信作者: 许琳,Email:123316859@qq.com
  • 基金资助:
    公共卫生人才培养支持项目(202512220851)

Trend analysis of patient delay and its associated factors among pulmonary tuberculosis patients in Yunnan Province, 2005—2024

Zhou Lijuan1, Wu Wei2, Chen Jin’ou2, Yang Yunbin2, Liu Liangli2, Li Ling2, Xu Lin2()   

  1. 1 School of Public Health, Kunming Medical University, Kunming 650500, China
    2 Division of Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650500, China
  • Received:2026-03-31 Online:2026-10-10 Published:2026-09-30
  • Contact: Xu Lin,Email:123316859@qq.com
  • Supported by:
    Public Health Talent Development Support Program(202512220851)

摘要:

目的: 分析2005—2024年云南省肺结核患者就诊延迟的变化趋势及相关因素,评估云南省肺结核的防控效果,为减少患者就诊延迟的发生提供依据。方法: 通过“中国疾病预防控制信息系统”的子系统“结核病管理信息系统”导出2005、2010、2015、2020、2024年云南省登记的肺结核患者的病案信息,对5年间肺结核患者病案信息进行分析,描述云南省20年肺结核患者的就诊延迟率、就诊时间间隔的变化,采用多因素logistic回归分析影响患者就诊延迟的相关因素。结果: 云南省2005年肺结核患者的就诊延迟率为80.59%(13060/16205),就诊时间间隔为53(21,121)d;2024年肺结核患者的就诊延迟率为66.86%(12853/19223),就诊时间间隔中位数(四分位数)为25(11,52)d,就诊延迟率及就诊时间间隔均呈下降趋势(${\chi }_{\mathrm{趋}\mathrm{势}}^{2}$=2117.178,P<0.001;J-T统计量=-67.150,P<0.001)。多因素logistic回归分析显示,<65岁(OR=1.120,95%CI:1.079~1.162)、汉族(OR=1.270,95%CI:1.234~1.307)、农民(OR=1.817,95%CI:1.719~1.920)、被动发现(OR=1.400,95%CI:1.328~1.475)、病原学阳性(OR=1.245,95%CI:1.211~1.279)、本地(OR=1.169,95%CI:1.114~1.228)、高疫情地区(OR=1.574,95%CI:1.526~1.623)、非重点人群(OR=1.273,95%CI:1.199~1.352)的患者发生就诊延迟的风险更高。结论: 2005—2024年云南省肺结核患者就诊延迟情况整体呈改善趋势,但65岁以下、汉族、农民、本地、高疫情地区、非重点人群患者的就诊延迟风险仍较高。

关键词: 结核,肺, 就诊延迟, 因素分析,统计学

Abstract:

Objective: To analyze the trend and associated factors of patient delay among pulmonary tuberculosis (PTB) patients in Yunnan Province from 2005 to 2024, evaluate tuberculosis prevention and control effectiveness, and provide evidence for reducing patient delay. Methods: Medical records of PTB patients registered in Yunnan Province in 2005, 2010, 2015, 2020, and 2024 were extracted from the Tuberculosis Management Information System, a subsystem of the China Disease Prevention and Control Information System. The patient delay rates and delay intervals of the five time points were analyzed to describe changes over the 20-year period. Multivariable logistic regression was used to identify factors associated with patient delay. Results: The patient delay rate in Yunnan Province decreased from 80.59% (13060/16205) in 2005 to 66.86% (12853/19223) in 2024, and the median delay interval declined from 53 (Q1=21, Q3=121) days to 25 (Q1=11, Q3=52) days, both showing significant downward trend (${\chi }_{trend}^{2}$=2117.178, P<0.001; J-T statistic=-67.150, P<0.001). Multivariable logistic regression revealed that patients aged <65 years (OR=1.120, 95%CI: 1.079-1.162), detected by passive case finding (OR=1.400, 95%CI: 1.328-1.475), from high-epidemic areas (OR=1.574, 95%CI: 1.526-1.623), being Han ethnicity (OR=1.270, 95%CI: 1.234-1.307), farmers (OR=1.817, 95%CI: 1.719-1.920), bacteriologically positive (OR=1.245, 95%CI: 1.211-1.279), local residents (OR=1.169, 95%CI: 1.114-1.228), and non-key populations (OR=1.273, 95%CI: 1.199-1.352) had higher risk of patient delay. Conclusion: Although the overall status of patient delay among PTB patients in Yunnan Province improved from 2005 to 2024, patients who were aged <65 years, Han ethnicity, farmers, local residents, from high-epidemic areas, and non-key populations still faced higher risks of delay.

Key words: Tuberculosis, pulmonary, Patient delay, Factor analysis, statistical

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