Frontiers in Public Health (Feb 2023)

Time-trend analysis of tuberculosis diagnosis in Shenzhen, China between 2011 and 2020

  • Chuang-Yue Hong,
  • Fu-Lin Wang,
  • You-Tong Zhang,
  • Feng-Xi Tao,
  • Le-Cai Ji,
  • Pei-Xuan Lai,
  • Ming-Zhen Li,
  • Chong-Guang Yang,
  • Wei-Guo Tan,
  • Qi Jiang

DOI
https://doi.org/10.3389/fpubh.2023.1059433
Journal volume & issue
Vol. 11

Abstract

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ObjectiveTo describe the trend of tuberculosis (TB) diagnosis in the migrant city Shenzhen, China, and analyze the risk factors of diagnosis delays.MethodsDemographic and clinical information of TB patients from 2011 to 2020 in Shenzhen were extracted. A bundle of measures to enhance TB diagnosis had been implemented since late 2017. We calculated the proportions of patients who underwent a patient delay (>30 days from syndrome onset to first care-seeking) or a hospital delay (>4 days from first care-seeking to TB diagnosis). Multivariable logistic regression was used to analyze the risk factors of diagnosis delays.ResultsDuring the study period, 43,846 patients with active pulmonary TB were diagnosed and registered in Shenzhen. On average, the bacteriological positivity rate of the patients was 54.9%, and this increased from 38.6% in 2017 to 74.2% in 2020. Overall, 30.3 and 31.1% of patients had a patient delay or a hospital delay, respectively. Molecular testing significantly increased bacteriological positivity and decreased the risk of hospital delay. People >35 years old, the unemployed, and residents had a higher risk of delays in both patient care-seeking and hospital diagnosis than younger people, workers, or migrants. Compared with passive case-finding, active case-finding significantly decreased the risk of patient delay by 5.47 (4.85–6.19) times.ConclusionThe bacteriological positivity rate of TB patients in Shenzhen increased significantly but the diagnosis delays were still serious, which may need more attention when active case-finding in risk populations and optimization of molecular testing.

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