TY - JOUR AU - Tilloeva, Zulfiya AU - Aghabekyan, Seda AU - Davtyan, Karapet AU - Goncharova, Olga AU - Kabirov, Olim AU - Pirmahmadzoda, Bobojon AU - Rajabov, Asliddin AU - Mirzoev, Azamdzhon AU - Aslanyan, Garry PY - 2020/11/16 Y2 - 2024/03/28 TI - Tuberculosis in key populations in Tajikistan – a snapshot in 2017 JF - The Journal of Infection in Developing Countries JA - J Infect Dev Ctries VL - 14 IS - 11.1 SE - SORT IT TB Key Population DO - 10.3855/jidc.11952 UR - https://jidc.org/index.php/journal/article/view/33226966 SP - 94S-100S AB - <p>Introduction: WHO End TB Strategy aims at achieving targets of 90% mortality reduction and 80% reduction in tuberculosis (TB) incidence by 2030, recommending better addressing TB and multidrug-resistant TB (MDR-TB) issues in key populations.</p><p>Aim: The study aimed at having a snapshot of the epidemiological characteristics of the key populations among the new TB patients, registered in Tajikistan during 2017.</p><p>Methodology: A cross-sectional study was conducted, using official TB registration data for all new TB case notification in Tajikistan in 2017.</p><p>Results: The key population included 1,029 (19.8%) patients among all 5,182 new TB cases registered in 2017. The following selected sub-populations were identified: migrant workers – 728 (70.7%), diabetics – 162 (15.7%), HIV-positive – 138 (13.4%), heavy drinkers – 74 (7.2%), drug users – 50 (4.8%), ex-prisoners – 50 (4.8%), and homeless – 9 (0.9%). Among the key population, 307 (29.8%) patients were smear-positive, 145 (14.1%) were drug-sensitive and 116 (11.3%) had MonoDR/MDR-TB. Time to treatment initiation for smear-positive cases was ≤ 5 days for 303 (98.7%) patients. Being a key population was inversely related to gender (female) (OR = 0.25, 95% CI (0.21, 0.29)) and population type (rural) (OR = 0.64, 95% CI (0.55, 0.74)).</p><p>Conclusion: Among the key population the identified overlaps of selected sub-populations would enable more efficiently reaching the certain groups. TB case detection at PHC levels needs to be targeted for improved rates for key population detection. In the key population sub-group of migrant workers’ special migration destinations are recommended to be explored and find out possible associations with drug resistance.</p> ER -