Abstract

Tuberculosis (TB) is a global public health problem. The incidence of TB is especially high among TB key populations, such as the homeless, people who use drugs, prisoners, and migrants. The study aimed to assess the associations between affiliation to TB key populations and treatment outcome. This retrospective cross-sectional study used data extracted from the National TB Registry of Kyrgyzstan for the region of Chuy (including the city of Bishkek) for 2015-2017. Descriptive statistics was used to summarize the data. Logistic regression was used to assess the associations. The study included 1,526 patients among whom more than half (52.5%) fell into the youngest group (18-35 years old). Migrants were the most highly represented group comprising 67.8% of all TB key populations. Men (63.0%) and patients with pulmonary TB (83.0%) prevailed in the cohort. The proportions of patients who had completed the treatment were high among all the key populations. Logistic regression was used to assess the association between affiliation to a certain TB key population and the TB treatment outcome. Patients who belonged to more than one TB key population were found to have the highest risk of unsuccessful TB treatment outcomes, both in the region of Chuy (OR = 9.9, 95% CI 2.0-48.1, p = 0.04) and the city of Bishkek (OR = 24.9, 95% CI 7.2-86.4, p < 0.001). The homeless, people who use drugs, ex-prisoners, and TB patients who belonged to more than one TB key population were found to have higher risks of unsuccessful TB treatment outcome in comparison to migrants.

Highlights

  • Tuberculosis (TB) is a global public health problem

  • The standardized models of healthcare used for prevention and control of TB are not usually found to be efficient enough for these groups, as they are designed for the general population, so specific interventions need to be implemented [3]

  • The aim of the current study is to investigate the risk factors and treatment outcomes among different TB key populations for the period 2015 to 2017 in the region of Chuy of Kyrgyzstan

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Summary

Introduction

Tuberculosis (TB) is a global public health problem. The incidence of TB is especially high among TB key populations, such as the homeless, people who use drugs, prisoners, and migrants. Logistic regression was used to assess the association between affiliation to a certain TB key population and the TB treatment outcome. Patients who belonged to more than one TB key population were found to have the highest risk of unsuccessful TB treatment outcomes, both in the region of Chuy (OR = 9.9, 95% CI 2.0–48.1, p = 0.04) and the city of Bishkek (OR = 24.9, 95% CI 7.2–86.4, p < 0.001). Conclusion: The homeless, people who use drugs, ex-prisoners, and TB patients who belonged to more than one TB key population were found to have higher risks of unsuccessful TB treatment outcome in comparison to migrants. The majority of TB cases occur in groups which are referred to as TB key populations, such as the homeless, people who use drugs (PWUD), prisoners, and migrants. The standardized models of healthcare used for prevention and control of TB are not usually found to be efficient enough for these groups, as they are designed for the general population, so specific interventions need to be implemented [3]

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