Abstract:

Objective: To explore the acceptance of preventive treatment and its influencing factors among people with latent tuberculosis infection (LTBI) in Shijiazhuang City. Methods: Treatment rate was used to demonstrate the acceptance of preventive treatment of LTBI in Shijiazhuang from 2022 to 2023. From 2022 to 2023, among randomly selected individuals with latent tuberculosis infection who met the criteria for preventive treatment in Shijiazhuang, 134 individuals who accepted it were enrolled as study group, and 142 individuals who refused treatment were enrolled as control group. The demographics, basic disease history, family economic status, travel mode and close contact history with tuberculosis patients of the two groups were investigated. Multivariable logistic regression was used to analyze influencing factors of the acceptance of preventive treatment for LTBI. Results: From 2022 to 2023, there were 5603 LTBI cases in Shijiazhuang City, 226 cases received preventive treatment, the preventive treatment acceptance rate was 4.03%. Multivariable logistic regression showed that occupation being farmer (OR (95%CI)=0.023 (0.002-0.305)), annual family income per capita being 30000-50000 yuan (OR (95%CI)=0.065 (0.011-0.379)), ≥60000 yuan (OR (95%CI)=0.020 (0.003-0.131)), using public transportation (OR (95%CI)=5.188 (2.068-13.013)), and having close contact history with tuberculosis patients (OR (95%CI)=15.751 (3.246-76.440)) were influencing factors of preventive treatment for LTBI. Conclusion: The acceptance of preventive treatment for LTBI in Shijiazhuang is low. Farmers and people with a per capita annual income of at least 30000 yuan are likely to refuse preventive treatment. People who use public transportation and have close contacts with pulmonary tuberculosis patients are more likely to receive preventive treatment.

Key words: Mycobacterium tuberculosis, Latent tuberculosis infection, Preventive treatment, Factor analysis, statistical