Size estimation of key populations and 'bridge populations' based on the network scale-up method in Ukraine.

INTRODUCTION: Correct estimation of the size of key and bridge populations is crucial for an efficient HIV/AIDS response in resource-limited settings, enabling efficient program planning and resource allocation. The hidden nature of these groups poses challenges to traditional methods, leading to the adoption of innovative approaches like the network scale-up method (NSUM). In this article we present the results of a NSUM study conducted in 2020 in Ukraine, focusing on four key populations and three bridge populations, highlighting challenges and contributions to development of the method. METHODS: From July to September 2020, we conducted a nationally representative survey in Ukraine via computer-assisted telephone interviews, and applied the known population method and summation method to estimate social networks sizes. Results were weighted based on individual sampling probability and adjusted for social respect and visibility factors to address potential limitations. RESULTS: Our study achieved a 20% response rate with 10,000 completed interviews. The social network size, using the known population method, was 213 people, and 125 using the summation method. Adjusting for the social respect and visibility, estimated key populations sizes were 295,857 [248,714-343,001] people who inject drugs, 152,267 [109,960-194,573] men who have sex with men, 78,385 [57,146-99,619] sex workers, and 9,963 [7,352-12,571] transgender people, detailed by age and gender. Bridge populations were estimated at 62,162 [50,445-73,879] sexual partners of people who inject drugs, 284,348 [233,113-335,583] clients of sex workers, and 13,697 [7,370-20,026] female partners of men who have sex with men. CONCLUSIONS: NSUM proves reliable for estimating key populations size with appropriate corrections. It shows promise for further use in Ukraine, considering limited geographic coverage of the integrated bio-behavioral studies to use multiplier-based methods. However, the validity concerns persist for estimating bridge populations size, emphasizing the need for further method refinement and addressing implementation issues, particularly those related to data collection.

Epidemiology of psychiatric and alcohol disorders in Ukraine: findings from the Ukraine World Mental Health survey.

BACKGROUND: This study presents the lifetime, 12-month, and 1-month prevalence estimates of nine psychiatric and alcohol disorders in Ukraine assessed as part of the World Health Organization (WHO) World Mental Health (WMH) research program. The Ukraine WMH survey is the first psychiatric epidemiologic study in a former Soviet Union country to administer a structured psychiatric interview to a nationally representative sample. METHOD: In 2002, a national probability sample of 4,725 respondents ages 18 and older were interviewed with the WMH version of the Composite International Diagnostic Interview (WMH-CIDI). Prevalence estimates, age-of-onset curves, comorbidity, demographic and geographic risk factors, and treatment seeking were examined. RESULTS: Close to one third of the population experienced at least one Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) disorder in their lifetime, 17.6% experienced an episode in the past year, and 10.6% had a current disorder. There was no gender difference in the overall prevalence rates. In men, the most common diagnoses were alcohol disorders (26.5% lifetime) and mood disorders (9.7% lifetime); in women, they were mood disorders (20.8% lifetime) and anxiety disorders (7.9% lifetime). The odds ratios for most pairs of disorders were highly significant. Age of onset was primarily in the teens and early 20s. Age, education, and living in the Eastern region of Ukraine were significant risk factors across disorders, with respondents older than 50 years having the highest prevalence of mood disorder and the lowest prevalence of alcoholism and intermittent explosive disorder. Only a minority of respondents talked to a professional about their symptoms. CONCLUSION: Prevalence estimates of alcoholism among men and recent depression among women were higher in Ukraine than in comparable European surveys. The results argue for the need to develop and implement educational programs focused on the recognition and treatment of mental and alcohol disorders for the general population, psychiatrists, and general medical providers, who are the main source of mental health care.