Your browser doesn't support javascript.
loading
Time-trend analysis of tuberculosis diagnosis in Shenzhen, China between 2011 and 2020.
Hong, Chuang-Yue; Wang, Fu-Lin; Zhang, You-Tong; Tao, Feng-Xi; Ji, Le-Cai; Lai, Pei-Xuan; Li, Ming-Zhen; Yang, Chong-Guang; Tan, Wei-Guo; Jiang, Qi.
Affiliation
  • Hong CY; Department of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
  • Wang FL; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
  • Zhang YT; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
  • Tao FX; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
  • Ji LC; Department of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
  • Lai PX; Department of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
  • Li MZ; Department of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
  • Yang CG; School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China.
  • Tan WG; Department of Tuberculosis Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
  • Jiang Q; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei, China.
Front Public Health ; 11: 1059433, 2023.
Article in En | MEDLINE | ID: mdl-36891348
ABSTRACT

Objective:

To describe the trend of tuberculosis (TB) diagnosis in the migrant city Shenzhen, China, and analyze the risk factors of diagnosis delays.

Methods:

Demographic 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.

Results:

During 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.

Conclusion:

The 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Tuberculosis, Pulmonary Type of study: Diagnostic_studies / Etiology_studies / Risk_factors_studies Limits: Adult / Humans Country/Region as subject: Asia Language: En Journal: Front Public Health Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tuberculosis / Tuberculosis, Pulmonary Type of study: Diagnostic_studies / Etiology_studies / Risk_factors_studies Limits: Adult / Humans Country/Region as subject: Asia Language: En Journal: Front Public Health Year: 2023 Document type: Article Affiliation country: China
...