(e)Managing the uncertainty of tuberculosis in the post-Soviet limbo: Tracking prisoners' coerced mobility for treatment in Ukrainian prisons.

The collapse of the Soviet Union triggered an escalation of the tuberculosis (TB) epidemic in many post-Soviet countries, including Ukraine. The main reasons for this situation include both the approach to TB care and the concentration of TB cases in prisons. The neoliberal approach to TB care system reform promises the optimization of treatment terms, "dehospitalization" and "despecialization" of the system of care, and a different type of control, established through digital technologies. One such technology is the "e-TB Manager", which was designated as a national TB registry, including in the prison system in 2012. In prison, where everyone "is to be fixed" and isolated, the uncertainty of patients' movements seems to be avoided by pre-existing conditions. In practice, however, the vertically aligned, centralized organizational structure of the post-Soviet prison implies a constant need to link its elements together through "coerced" mobility carried out in secrecy. Treatment in exile may not be the primary goal of such a practice, but it becomes the result when prisoners from numerous prison facilities are sent to a limited number of prison TB hospitals. The integration of the e-TB Manager as a tool to enable the tracking of patient movements and, consequently, improve the efficiency of diagnostic and treatment processes in prison, can be seen as both a purely technical measure and a "magic bullet". In this article, we argue that, in the case of Ukrainian prisons, the neoliberal approach and the Soviet socialist approach to gaining control over TB indeed adapt and reinforce each other but fail to compete meaningfully. The fragmented implementation of one is absorbed by the fundamental and resilient nature of the other to produce and reproduce the state of "post-Soviet limbo". We use the "post-Soviet limbo" as an overall framework aimed at conceptualizing the post-Soviet transformation as a combination of efforts to avoid and manage the uncertainty of TB treatment, especially in prison. We examine the empirical case of coerced mobility of prisoners who require TB treatment, seeking to trace how this process is reflected in the e-TB Manager. We provide a more in-depth picture of this journey with details gathered from qualitative research materials to situate numbers and variables in their contexts, deconstructing the way the data are recorded according to the logic of the system in which they are produced.

Integrated biobehavioral surveillance among people who inject drugs in Ukraine, 2007-2020.

BACKGROUND: Repeated integrated biobehavioral surveys (IBBS) have been implemented among people who inject drugs (PWID) in Ukraine to monitor the trends in key epidemiologic and programmatic indicators. METHODS: The study analyzed seven PWID IBBS rounds from 2007 to 2020 in seven Ukrainian cities. Participants were recruited using respondent-driven sampling, tested for HIV and anti-HCV antibodies, and completed a structured questionnaire. Composite weights (based on individual sampling probability and population size) were applied to generate point estimates and confidence intervals for HIV and HCV prevalence, injection risk behaviors, prevention service coverage, and HIV treatment cascade. Multi-level regression assessed temporal trends in these indicators in 2007-2020. RESULTS: The samples consisted of 1587 participants in 2007, 1905 in 2008/9, 3066 in 2011, 2846 in 2013, 2699 in 2015, 2798 in 2017, and 3651 in the 2020 rounds. HIV prevalence decreased from 27% to 19% overall, and among PWID younger than 25 from 10.5% to 5.5%. Anti-HCV prevalence increased from 50% to 73% overall but decreased from 58% to 27% in the younger subgroup. Past-30-days injection risk behaviors consistently decreased, reaching a minimum of 38% for any risk in 2020. HIV treatment cascade indicators and coverage with opioid agonist treatment substantially improved in the last three rounds. Harm reduction services coverage fluctuated, declining from 52% to 33% in the last three rounds. CONCLUSIONS: This analysis demonstrates the potential of repeated IBBS for monitoring the HIV epidemic and program coverage. We confirmed a sustained decline in overall HIV and HCV transmission, likely driven by reduced risky injection practices among PWID. The impact of harm reduction services requires further study. HIV status awareness and treatment coverage among PWID markedly increased, reaching the national average, possibly indicating the success of case-finding and linkage-to-care interventions. The upcoming IBBS round in Ukraine will also assess the impact of the war on service provision, risk behavior, and HIV transmission among PWID.