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Chinese Journal of Antituberculosis ›› 2023, Vol. 45 ›› Issue (1): 96-103.doi: 10.19982/j.issn.1000-6621.20220294

• Original Article • Previous Articles     Next Articles

Patient delay and related factors among tuberculosis patient in Fujian Province, 2010—2019

Chen Daiquan, Lin Shufang, Zhou Yinfa, Chen Kun, Dai Zhisong()   

  1. Institute of Tuberculosis Prevention and Control, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China
  • Received:2022-08-04 Online:2023-01-10 Published:2022-12-30
  • Contact: Dai Zhisong E-mail:simonwind100@126.com
  • Supported by:
    Fujian Health Science and Technology Program(2021GGB009)

Abstract:

Objective: To analyze the trend and related factors of patients delay among tuberculosis patients in Fujian Province from 2010 to 2019, and to provide basis for the formulation and adjustment of tuberculosis control measures. Methods: The data of 174124 tuberculosis patients registered and treated in Fujian Province from 2010 to 2019 were collected to describe the distribution and trend of patient delay. The factors associated with patient delay were analyzed by multivariate logistic regression model. Results: The median number of days from symptom onset to seeking health care was 21 (6, 58) days in Fujian Province from 2010 to 2019, with an average patient delay rate of 59.12% (102940/174124). Multivariate logistic regression analysis showed that female (OR=1.058, 95%CI: 1.035-1.082), aged 25-64 (OR=1.272, 95%CI: 1.232-1.313) and ≥65 (OR=1.427, 95%CI: 1.372-1.483), manual labor (OR=1.195, 95%CI: 1.119-1.276) and retirement or unemployed (OR=1.112, 95%CI: 1.039-1.190), current residency address in other cities of Fujian Province (OR=1.681, 95%CI: 1.550-1.822), contact inspection (OR=1.704, 95%CI: 1.216-2.387) and passive case-finding (OR=3.715, 95%CI: 3.340-4.131), tuberculous pleurisy (OR=1.454, 95%CI: 1.354-1.562)and extrapulmonary tuberculosis (OR=1.935,95%CI: 1.645-2.276), designated hospital model (OR=1.103, 95%CI: 1.078-1.130) and the distance between the current residency address and hospital ≥30 km (OR=1.077, 95%CI: 1.048-1.107) were high risk factors for patient delay. Students or children (OR=0.864, 95%CI: 0.792-0.943) and negative etiological examination (OR=0.650, 95%CI: 0.637-0.663) were low risk factors for patient delay. Conclusion: The patient delay rate in Fujian Province is still at a high level. We should improve the quality and accessibility of medical services, strengthen health education for key populations, and actively carry out active screening to reduce the patient delay.

Key words: Tuberculosis, Patient delay, Factor analysis, statistical, Epidemiologic studies, Fujian Province

CLC Number: