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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 11
Nov.  2024
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Article Contents
ZHUO Lingyun, CAO Hong, DU Kenan, ZHANG Yu, ZHANG Yue, LEI Lijian. Delay on care-seeking and related influencing factors among tuberculosis patients in Zigong, 2013-2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1281-1286. doi: 10.16462/j.cnki.zhjbkz.2024.11.007
Citation: ZHUO Lingyun, CAO Hong, DU Kenan, ZHANG Yu, ZHANG Yue, LEI Lijian. Delay on care-seeking and related influencing factors among tuberculosis patients in Zigong, 2013-2022[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1281-1286. doi: 10.16462/j.cnki.zhjbkz.2024.11.007

Delay on care-seeking and related influencing factors among tuberculosis patients in Zigong, 2013-2022

doi: 10.16462/j.cnki.zhjbkz.2024.11.007
Funds:

Shanxi Province Higher Education "Billion Project" Science and Technology Guidance Project BYBLD002

More Information
  • Corresponding author: LEI Lijian, E-mail: wwdlijian@sxmu.edu.cn
  • Received Date: 2024-05-13
  • Rev Recd Date: 2024-07-28
  • Available Online: 2024-12-23
  • Publish Date: 2024-11-10
  •   Objective  To understand the situation of delay in tuberculosis care-seeking in Zigong, analyze the related influencing factors, and provide a reference for the future formulation of relevant policies and adoption of targeted measures in the region.  Methods  The medical record information of 14 807 tuberculosis patients in Zigong from 2013 to 2022 was collected through the "tuberculosis information management system", a subsystem of the China disease prevention and control information system. The Joinpoint regression model was used to analyze the trend of the delay rates over this period. Additionally, The influencing factors of delayed visits of tuberculosis patients were analyzed using the unconditional multivariate logistic regression model.  Results  The delayed rate of tuberculosis patients in Zigong City showed an overall increasing trend. And the delayed rate of different genders showed an upward trend. And the delay rates for patients aged 20 to 59 and ≥60 also showing an upward trend. Multivariate logistic regression analysis showed that in 2020-2022, the sources of patients include follow-up, direct treatment, promotion, other sources, and tuberculosis pleurisy had a higher risk of delayed TB treatment (all P < 0.05). The risk of delay in care-seeking was lower for patients who were students, domestic workers and unemployed, workers and migrant workers, as well as patients whose sources were actively detected, and whose pathogenetic results were negative, or belonged to areas such as Fushun County and Gongjing District (all P < 0.05).  Conclusions  The delay rate of tuberculosis patients in Zigong City showed an overall upword trend from 2013 to 2022. The delay of tuberculosis patients in Zigong City may be related to occupational type, patient source, diagnosis type, etiology results and registration year. It is crucial to implement effective intervention strategies to address the above factors.
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