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The prevalence and incidence of latent tuberculosis infection and its associated factors among village doctors in China

PLoS ONE, Volume 10, No. 5, Article e0124097, Year 2015

Background: China is a high tuberculosis (TB) burden country. More than half of acute TB cases first seek medical care in village doctors' clinics or community health centers. Despite being responsible for patient referral and management, village doctors are not systematically evaluated for TB infection or disease. We assessed prevalence and incidence of latent TB infection (LTBI) among village doctors in China. Methods and Findings: A longitudinal study was conducted in Inner Mongolia Autonomous Region. We administered a questionnaire on demographics and risk factors for TB exposure and disease; Tuberculin skin testing (TST) and QuantiFERON-TB Gold in-tube assay (QFT-GIT) was conducted at baseline and repeated 12 months later. We used a logistic regression model to calculate adjusted odds ratios (ORs) for risk factors for TST and QFT-GIT prevalence and incidence. At the time of follow up, 19.5% of the 880 participating village doctors had a positive TST and 46.0% had a positive QFT-GIT result. Factors associated with TST prevalence included having a BCG scar (OR = 1.45, 95%CI 1.03-2.04) and smoking (OR = 1.69, 95%CI 1.17-2.44). Risk factors associated with QFT-GIT prevalence included being male (OR = 2.17, 95%CI 1.63-2.89), below college education (OR=1.42, 95%CI 1.01-1.97), and working for ≥25 years as a village doctor (OR = 1.64, 95%CI 1.12-2.39). The annual incidence of LTBI was 11.4% by TST and 19.1% by QFT-GIT. QFT-GIT conversion was associated with spending 15 minutes or more per patient on average (OR = 2.62, 95% CI1.39-4.97) and having BCG scar (OR = 0.53, 95%CI0.28-1.00). Conclusions: Prevalence and incidence of LTBI among Chinese village doctors is high. TB infection control measures should be strengthened among village doctors and at village healthcare settings. © 2015, Public Library of Science. All rights reserved. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Statistics
Citations: 36
Authors: 8
Affiliations: 2
Research Areas
Health System And Policy
Infectious Diseases
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative
Participants Gender
Male