John T. Brewster

Predictors of self-reported HIV infection among drug injectors in Ukraine.

ObjectiveTo identify characteristics, including current high-risk drug and sex behaviors, associated with self-reported HIV infection among injection drug users (IDUs) in Ukraine. DesignTargeted sampling of IDUs from Kiev, Odessa, and Makeevka/Donetsk, Ukraine. MethodsFrom June through August 2002, 100 IDUs from each site were recruited through street outreach, including 212 who had previously been tested for HIV and knew their serostatus. Subjects were administered a standardized computer-assisted interview assessing HIV-related drug and sex risk behaviors and history of HIV testing. ResultsTwenty six percent of the 212 participants reported they were HIV-positive. Univariate followed by multiple logistic regression analyses were used to identify factors associated with HIV infection. In the 30-day period before their interview, HIV-infected IDUs were significantly more likely to have injected with a needle previously used by another injector without disinfecting, frontloaded and/or backloaded, and shared the drug solution from a common container. In addition, they had higher prevalence rates for hepatitis B virus and hepatitis C virus than those not infected with HIV. On the other hand, they were more likely to have reported no sex partners and, if sexually active, more likely to have used a condom. ConclusionThe high HIV seroprevalence among IDUs in Ukraine, combined with their continued engagement in needle-related risk behaviors, assures the continuance of the epidemic in this region, a region that is the epicenter of HIV in Europe.

Predictors of HIV sero-status among drug injectors at three Ukraine sites

Objective:To assess the HIV serostatus of injection drug users (IDU) in Ukraine, as well as associations between serostatus and selected demographic and risk factors. Design and methods:IDU were recruited from the streets in Kiev, Odessa and Makeevka/Donesk. Participants were interviewed using an HIV risk behavior assessment and tested for HIV with a finger-stick rapid test. Multiple logistic regression was used to identify determinants of HIV infection. Results:Of the 891 IDUs surveyed, one-third came from each site and 22% were female. Their mean age was 29 years and on average they had been injecting for slightly more than 10 years. Seven hundred and seventy-eight of the total sample did not know their HIV status when first interviewed; they are the participants in this investigation. Overall, 33% tested positive for HIV, including 34% in Kiev, 51% in Odessa and 17% in Makeevka/Donesk. Independent predictors of HIV included injecting a sedative/opiate mixture, female sex, having sex with a person who was HIV positive or whose HIV status was unknown and injecting daily. HIV-negative IDU were significantly younger than those infected, they were more likely to be from Makeevka/Donesk and they were more likely to have been sexually active. Conclusions:Rates of HIV infection among IDU vary considerably across Ukraine, although even in the site with the lowest rate nearly one in five was infected. The extent of drug and sex-related risk behaviors calls for interventions to reduce the spread of HIV and other infectious diseases.

Stimulant Injectors in Ukraine: The Next Wave of the Epidemic?

This study was designed to assess differences in drug and sex-related risk behaviors between injectors of opiates only, opiate/sedative mix only and stimulants only. Participants were current out-of-treatment injection drug users (IDUs), unaware of their HIV status, recruited through street outreach in Kiev, Odessa and Makeevka/Donetsk, Ukraine. Overall, 22% tested positive for HIV, including 39% among opiate/sedative injectors, 19% among opiate injectors and 17% among stimulant injectors. Despite these differences, stimulant injectors were at higher risk than other IDUs in sharing a used needle/syringe, always injecting with others, injecting a drug solution drawn from a common container, having an IDU sex partner, not using condoms during vaginal or anal sex and on composite measures of injection and sex risks. After controlling for age differences, stimulant injectors remained at higher risk in their needle and sex risk behaviors. Without intervention, it is likely that HIV will increase among stimulant injectors.

Individual and network interventions with injection drug users in 5 Ukraine cities.

OBJECTIVES We evaluated the effects of an individual intervention versus a network intervention on HIV-related injection and sexual risk behaviors among street-recruited opiate injection drug users in 5 Ukraine cities. METHODS Between 2004 and 2006, 722 opiate injection drug users were recruited to participate in interventions that were either individually based or based on a social network model in which peer educators intervened with their network members. Audio computer-assisted self-interview techniques were used to interview participants at baseline and follow-up. RESULTS Multiple logistic analyses controlling for baseline injection and sexual risks revealed that both peer educators and network members in the network intervention reduced injection-related risk behaviors significantly more than did those in the individually based intervention and that peer educators increased condom use significantly more than did those in the individual intervention. Individual intervention participants, however, showed significantly greater improvements than did network members with respect to reductions in sexual risk behaviors. CONCLUSIONS Social network interventions may be more effective than individually based interventions in changing injection risk behaviors among both peer educators and network members. The effectiveness of network interventions in changing sexual risk behaviors is less clear, probably owing to network composition and inhibitions regarding discussing sexual risk behaviors.

Predictors of risky needle use following interventions with injection drug users in Ukraine

This study was designed to assess factors associated with change in needle-related risk behaviors as well as predictors of continued high-risk behavior following intervention efforts among injection drug users (IDUs) in Ukraine. In each of three locations--Kiev, Odessa, and Makeevka/Donesk--100 IDUs were recruited using modified targeted sampling methods. Following a baseline interview, participants were offered free HIV testing and, over the course of the next 5 months, individualized interventions focusing on reducing HIV-related risk behaviors. Former IDUs conducted interventions through street outreach. The intervention model was based on the Indigenous Leader Outreach Model (ILOM) and stressed assessing an individuals unique risks and developing strategies by which to minimize those risks. Follow-up assessments showed significant reductions in every risk behavior measured. Following the intervention, however, approximately one of four participants reported front- or backloading, using drugs obtained from a common container or injecting with a used needle/syringe. Although the sample as a whole averaged only 28 years of age, those who were younger were significantly more likely to engage in each of these behaviors than those who were older. In light of the overall young age of the Ukrainian IDUs observed in this study, the consistent finding that younger IDUs were at highest risk foreshadows a worsening HIV epidemic in Ukraine.

Gender differences in sex risk behaviors among Ukraine injection drug users.

Objective:To assess gender differences in drug and sex risk behaviors and evaluate predictors of HIV-related sex risk behaviors among heterosexual injection drug users (IDUs) in Ukraine. Design:Street-recruited IDUs from Kiev, Odessa, and Makeevka/Donesk, Ukraine. Methods:From June 2004 through November 2006, outreach workers recruited 1557 IDUs, including 526 from Kiev, 494 from Odessa, and 537 from Makeevka/Donesk. Participants were administered a standardized computer-assisted interview assessing HIV-related drug and sex risk behaviors, self-efficacy for practicing safe sex, and HIV knowledge. Results:Overall, 80% of the participants were sexually active in the 30-day period before their interview. They also engaged in high-risk sex behaviors during this brief 30-day window: 53% reported anal or vaginal sex without a condom, 27% had sex with more than 1 partner, 41% had an IDU sex partner, and 37% had an HIV-positive sex partner or a partner whose HIV status they did not know. Overall, women were at higher risk than men and were more likely to have been told they were HIV-positive. Conclusion:The extremely high HIV prevalence rate in Ukraine and in this cohort, combined with their recent high-risk sex behaviors, forecasts not only a continuance of the epidemic in the region but an escalation.

Gender differences between predictors of HIV status among PWID in Ukraine

BACKGROUND The HIV epidemic in Ukraine is among the largest in Europe. While traditionally the epidemic has spread through injection risk behavior, sexual transmission is becoming more common. Previous research has found that women in Ukraine have higher rates of HIV and engage in more HIV risk behavior than men. This study extended that work by identifying risk factors that differentially predict men and womens HIV status among people who inject drugs (PWID) in Ukraine. METHODS From July 2010 to July 2013, 2480 sexually active PWID with unknown HIV status were recruited from three cities in Ukraine through street outreach. The average age was 31 years old. RESULTS Women, who made up twenty-eight percent of the sample, had higher safe sex self-efficacy (p<.01) and HIV knowledge (p<.001) than men, but scored higher on both the risky injection (p<.001) and risky sex (p<.001) composite scores than men. Risky sex behaviors were associated with womens HIV status more than mens. We also report results identifying predictors of risky injection and sex behaviors. CONCLUSIONS Gender-specific interventions could address problem of HIV risk among women who inject drugs in a country with a growing HIV epidemic. Our findings suggest specific ways in which intervention efforts might focus on groups and individuals who are at the highest risk of contracting HIV (or who are already HIV positive) to halt the spread of HIV in Ukraine.

Use of a peer leader intervention model to reduce needle-related risk behaviors among drug injectors in Ukraine

This study was designed to assess change in needle-related risks following interventions with injection drug users (IDUs) in the Crimea. Participants were recruited through street outreach by former IDUs in the cities of Simferopol and Nikolayev, Ukraine. The intervention was based on a social network model in which peer leaders were recruited and asked to bring in up to three members of their injecting network. Findings supported the feasibility of the intervention: peer leaders recruited an average of 2.4 network members; two-thirds attended at least four of the five training sessions; and a positive relationship was observed between greater session attendance by peer leaders and increased communication with network members about HIV prevention. Moreover, leaders who did not engage in high-risk behaviors at follow-up were much more likely to have had network members who did not engage in high-risk activities compared to leaders who continued high-risk behaviors.

HIV incidence among people who inject drugs (PWIDs) in Ukraine: results from a clustered randomised trial

Summary Background In this study, we sought to assess whether a social network intervention was superior to HIV testing and counseling in impacting HIV incidence among PWID. Although this was not a primary study aim, it is associated with reducing drug and sex risk behaviors, which were primary aims. Methods PWID were recruited from street settings in Odessa, Donetsk, and Nikolayev, Ukraine for a clustered randomized clinical trial (RCT). “Index” or peer leaders, along with two of their network members, were randomly assigned to testing and counseling block (N=589) or testing and counseling plus a social network intervention block (N=611). Participants in the network intervention received 5-sessions to train their network members in risk reduction. Those assigned testing and counseling received no further intervention following counseling. Employing an intent to treat analyses, the primary outcome was HIV sero-conversion using Cox regression and incorporating a gamma frailty term to account for clustering. No stratification or minimization was utilized. The trail was registered with ClinicalTrial.gov, NCT01159704. Findings Between July 12, 2010 and November 23, 2012, 2,304 PWID were recruited, 1,200 of whom were HIV negative and included in the present study. At baseline, there were no significant differences between groups. Of the 1,200 HIV negative participants, 1,085 (90.4%) were retained at 12 months. Incidence density revealed 18.45 (95% CI 14.87 – 22.03, 102 events in 553.0 py) per 100 person years (py) for those in the intervention group and 31.78 (95% CI 26.83–36.74, 158 events in 497.1 py) per 100 py among control arm participants. This corresponded to a reduced hazard in the intervention group, HR= 0.53 (95% CI 0.38, 0.76, p =0.0003). There were no study-related adverse events. Interpretation These data provide strong support for integrating peer education into comprehensive HIV prevention programs for PWID and suggest the value in developing and testing peer-led interventions for improving access and adherence to PrEP and ART. Funding This study was funded by the National Institute on Drug Abuse (RO1 DA026739).