The research design and procedures of this study were reviewed and approved by the institutional review boards of the University of Illinois Chicago, PRISMA Research Center, and the Moscow Nongovernment Organization, “Bridge to the Future.” The analysis is based on data collected at baseline for a clinical trial assessing the efficacy of the MASLIHAT peer-education model in reducing HIV risk behavior among Tajik MWID while living in Moscow.
Recruitment: From October 2021 to April 2022, 140 male Tajik migrant workers who inject drugs were recruited from 12 sites in Moscow: 2 Tajik diaspora organizations, 4 bazaars, and 6 construction work sites. To be eligible to participate in the research, prospective participants had to be a male Tajik migrant aged 18 or older, a current or former PWID, give written informed consent, intending to reside in Moscow for the next 12 months to permit completing baseline and four follow-up interviews, and willing to recruit two male Tajik migrants who inject drugs for interviewing as PWID network members. Network members (n=280) had to meet the same eligibility criteria as the migrant who referred them but also: 1) have injected drugs at least once in the last 30 days; and 2) be someone whom the referring migrant sees at least once a week to facilitate sharing MASLIHAT HIV prevention information. The analysis draws on data collected from the study’s sample of 420 Tajik migrant male PWID in Moscow at enrollment (baseline) prior to their random assignment to one of two research intervention conditions.
Data Collection: After giving informed consent, participants were interviewed at the PRISMA office in Moscow or a private location of their choosing. A structured questionnaire collected information on participants’ sociodemographic characteristics, HIV-related knowledge, HIV risk perception, substance use and sexual risk behavior, experience with police-enacted societal stigma, and psychosocial measures of depression and loneliness. Participants received the customary compensation in Moscow of $20.00 for their time and transportation costs in being interviewed.
Measures
Demographic information consisted of age (years), marital status (currently married, not married/divorced), and highest educational attainment (primary school/secondary school, some university education/higher).
HIV knowledge was assessed by responses to 8 statements as being either “safe” or “unsafe” in the possibility of HIV transmission such as “being bitten by mosquitoes or other insects” and 5 statements as either “true” or “false” in terms of becoming infected such as “there is a test to determine if a person has HIV.” Responses were coded as either correct or incorrect with “don’t know” coded as incorrect. Correctly answered items were summed for a possible final score per individual between 0 – 13 (Cronbach alpha = 0.91). Low HIV knowledge was defined as scoring from 0 – 6 and moderate/high as scoring from 7-13.
Self-perception of HIV risk was assessed with two items: 1) “How likely are you to get HIV?” on a scale from “not at all likely” (0) to “very likely” (3). 2) How much do you worry about HIV?” from “not at all” (0) to a lot (2). A self-perceived HIV risk score was created per person by summing the responses to both items with scores ranging from 0 - 5. Low HIV risk perception was defined as a score of 0 or 1 and moderate/high as scoring between 2-5.
HIV sexual risk behavior was measured with three items: number of female sex partners, sex with a female sex worker, and engaging in condomless sex. To assess possible HIV risk behavior through sexual partnering, participants were asked how many women and the number of female sex workers (FSWs) with whom they had sexual intercourse in the past 30 days. Number of female sex partners was coded as: 0 or 1 sex partner = 0 (little to no risk) or ≥2 sex partners = 1 (some level of risk). Sex with FSW was coded as: 0 FSWs = 0 (no sexual intercourse reported with FSWs) or ≥1 FSWs = 1 (Sex with FSWs). To assess frequency of engaging in sex without a condom: participants were asked, “how often did you use a condom when having sexual intercourse?” for each of three partner categories: “regular female partner in Russia,” “Moscow FSW,” and “other sexual partners not engaged in selling sex.” Response categories were “never,” “sometimes,” “often,” or “always.” Responses of “always used a condom” for all three partner categories were categorized as “engaging in sex with condoms.” Otherwise, responses were categorized as engaging in condomless sex. The items were combined to create a binary measure of “any condomless sex” vs. “sex with condoms” in the past 30 days.
Psychosocial measures: Symptoms of Depression were measured using the 20-item Center for Epidemiologic Studies Depression scale - revised (CESD-R).15,16 Loneliness was measured using the 20-item UCLA loneliness scale and a loneliness score was calculated as the mean of item responses (coefficient alpha: .89 - .94).17
Societal stigma as manifested through police harassment was measured by responses ranging from “never” (0) to “very often” (4) to each of three statements: “I have been hassled by the police because I’m a migrant,” “I have been detained by the police because I’m a migrant,” and “I have been beaten by the police because I’m a migrant.” A summation score of experience with police-enacted stigma was calculated per participant ranging from 0-12.
Analysis: A population-averaged Poisson regression analysis was conducted with a sandwich estimator of variance and exchangeable within-group correlation structure for network clusters to obtain adjusted prevalence ratios (aPRs) with their 95% confidence intervals (95% CI).17, 18 Adjusting for demographic and psychosocial factors that might impact HIV sexual risk behavior, multivariable modeling was used to examine associations between HIV knowledge and HIV risk perception and four sexual risk outcomes: sex with multiple partners (model 1), sexual activity with one or more FSWs (model 2), condomless sex (model 3) and condomless sex with FSWs (Model 4). To test the possible moderating effect of HIV risk perception on the relationship between HIV knowledge and sexual risk behavior, the analysis tested for both the separate and interactive effects of HIV knowledge and perception of HIV risk on each sexual outcome. The analyses were performed using STATA 16.1 (Stata, College Station, TX, USA) software.