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Chinese Journal of Antituberculosis ›› 2023, Vol. 45 ›› Issue (1): 85-95.doi: 10.19982/j.issn.1000-6621.20220389

• Original Article • Previous Articles     Next Articles

Analysis on the trend and influencing factors of detection delay in patients with active tuberculosis in Guangdong Province from 2016 to 2020

Zhou Fangjing1, Feng Huiying2, Fang Lanjun1, Chen Yuhui2, Wen Wenpei3, Liao Qinghua4(), Wu Huizhong1()   

  1. 1Department of Control and Treatment, Guangdong Provincial Center for Tuberculosis Control, Guangzhou 510630,China
    2Department of Office, Guangdong Provincial Center for Tuberculosis Control, Guangzhou 510630, China
    3Office of the Centre Director, Guangdong Provincial Center for Tuberculosis Control,Guangzhou 510630, China
    4Department of Clinic, Guangdong Provincial Center for Tuberculosis Control, Guangzhou 510630, China
  • Received:2022-10-09 Online:2023-01-10 Published:2022-12-30
  • Contact: Liao Qinghua,Wu Huizhong E-mail:40028763@qq.com;1627639699@qq.com
  • Supported by:
    Medical Research Foundation of Guangdong Province(A2021155);National Science and Technology Major Project during the Thirteenth Five-year Plan Period(2018ZX10715004-002)

Abstract:

Objective: To analyze the trend of detection delay among patients with active pulmonary tuberculosis (APTB) in Guangdong Province during the 13rd five-year plan period and explore the influencing factors, so as to provide scientific basis for reducing the detection delay. Methods: Based on the Tuberculosis management information system, a retrospective cohort study was conducted to collected medical records of APTB patients registered in Guangdong Province from 2016 to 2020, demographic characteristics and latency trends of 277684 patients who were finally included in the analysis were described. Cox proportional hazard model was used to analyze influencing factors of detection delay. Results: The detection delay was found in 146345 APTB patients in Guangdong Province, with the average annual delay rate of 52.70% (146345/277684) from 2016 to 2020. And the median and quartile of detection delay were 30 (14, 63) days. From 2016 to 2020, the annual detection delay rates were 50.66% (30693/60591), 50.86% (30436/59841), 53.44% (30061/56253), 55.53% (29418/52980), and 53.60% (25737/48019), respectively, which increased with time ( χ t r e n d 2=380.599, P<0.001). The median of detection delayed days increased from 29 days in 2016 to 31 days in 2020. Cox proportional hazard model showed that male (HR=1.042, 95%CI: 1.033-1.051), other occupation (HR=1.077, 95%CI: 1.067-1.087), detention personnel (HR=1.108, 95%CI: 1.068-1.149), diagnosed in provincial or municipal medical institutions (HR=1.106, 95%CI: 1.094-1.118), diagnosed by CDC/TB Prevention and Control Institute and other professional institutions (HR=1.197, 95%CI: 1.184-1.210) and re-treatment (HR=1.146, 95%CI: 1.127-1.164) were the protective factors of detection delay of APTB. Migrants (HR=0.986, 95%CI: 0.978-0.995), patients found passively (HR=0.970, 95%CI: 0.962-0.978) and severe tuberculosis (HR=0.931, 95%CI: 0.919-0.942) were the risk factors of tuberculosis detection delay. Conclusion: The incidence of detection delay in APTB in Guangdong Province increased with time from 2016 to 2020. More attention should be paid to the migrants, patients found passively and severe tuberculosis patients.

Key words: Tuberculosis, pulmonary, Factor analysis, statistics, Guangdong Province

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