Article

Effectiveness of respondent-driven sampling to recruit high risk heterosexual men who have multiple female sexual partners: differences in HIV prevalence and sexual risk behaviours measured at two time points.

Health Systems Research Unit, Medical Research Council, Tygerberg, Cape Town, South Africa.
AIDS and Behavior (Impact Factor: 3.49). 12/2010; 14(6):1330-9. DOI: 10.1007/s10461-010-9753-5
Source: PubMed

ABSTRACT Regular HIV bio-behavioural surveillance surveys (BBSS) among high risk heterosexual (HRH) men who have multiple female sexual partners is needed to monitor HIV prevalence and risk behaviour trends, and to improve the provision and assessment of HIV prevention strategies for this population. In 2006 and 2008 we used respondent-driven sampling to recruit HRH men and examine differences in HIV prevalence and risk behaviours between the two time points. In both surveys, the target population had little difficulty in recruiting others from their social networks that were able to sustain the chain-referral process. Key variables reached equilibrium within one to six recruitment waves and homophily indices showed neither tendencies to in-group nor out-group preferences. Between 2006 and 2008 there were significant differences in condom use with main sexual partners; numbers of sexual partners; and alcohol consumption. Further BBSS among this population are needed before more reliable trends can be inferred.

0 Followers
 · 
139 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Background: South Africa, in the midst of the world's largest HIV epidemic, has a growing methamphetamine problem. Respondent driven sampling (RDS) is a useful tool for recruiting hard-to-reach populations in HIV prevention research, but its use with methamphetamine smokers in South Africa has not been described. This study examined the effectiveness of RDS as a method for engaging methamphetamine users in a Cape Town township into HIV behavioral research. Methods: Standard RDS procedures were used to recruit active methamphetamine smokers from a racially diverse pen-urban township in Cape Town. Effectiveness of RDS was determined by examining social network characteristics (network size, homophily, and equilibrium) of recruited participants. Results: Beginning with eight seeds, 345 methamphetamine users were enrolled over 6 months, with a coupon return rate of 67%. The sample included 197 men and 148 women who were racially diverse (73% Coloured, 27% Black African) and had a mean age of 28.8 years (SD = 7.2). Social networks were adequate (mean network size >5) and mainly comprised of close social ties. Equilibrium on race was reached after 11 waves of recruitment, and after <= 3 waves for all other variables of interest. There was little to moderate preference for either in- or out-group recruiting in all subgroups. Conclusions: Results suggest that RDS is an effective method for engaging methamphetamine users into HIV prevention research in South Africa. Additionally, RDS may be a useful strategy for seeking high-risk methamphetamine users for HIV testing and linkage to HIV care in this and other low resource settings.
    Drug and Alcohol Dependence 08/2014; 143. DOI:10.1016/j.drugalcdep.2014.07.018 · 3.28 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Purpose Respondent-driven sampling (RDS) is a form of peer-based study recruitment and analysis that incorporates features designed to limit and adjust for biases in traditional snowball sampling. It is being widely used in studies of hidden populations. We report an empirical evaluation of RDS’s consistency and variability, comparing groups recruited contemporaneously, by identical methods and using identical survey instruments. Methods We randomized recruitment chains from the RDS-based 2012 National HIV Behavioral Surveillance survey of Seattle-area injection drug users into two groups and compared them in terms of sociodemographic characteristics, drug-associated risk behaviors, sexual risk behaviors, HIV status and HIV testing frequency. Results The two groups differed in 5 of the 18 variables examined (p≤ .001): race (for example, 60% white vs. 47%), gender (52% male vs. 67%), area of residence (32% downtown Seattle vs. 44%), an HIV test in the previous 12 months (51% vs. 38%). The difference in serologic HIV status was particularly pronounced (4% positive vs. 18%). In 4 further randomizations, differences in one to five variables attained this level of significance, though the specific variables involved differed. Conclusions We found some material differences between the randomized groups. While the variability of the present study was less than has been reported in serial RDS surveys, these findings indicate caution in the interpretation of RDS results.
    Annals of Epidemiology 09/2014; 24(11). DOI:10.1016/j.annepidem.2014.09.002 · 2.15 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Objectives. We assessed whether a meaningful set of latent risk profiles could be identified in an inner-city population through individual and network characteristics of substance use, sexual behaviors, and mental health status. Methods. Data came from 600 participants in Social Network Study III, conducted in 2009 in Winnipeg, Manitoba, Canada. We used latent class analysis (LCA) to identify risk profiles and, with covariates, to identify predictors of class. Results. A 4-class model of risk profiles fit the data best: (1) solitary users reported polydrug use at the individual level, but low probabilities of substance use or concurrent sexual partners with network members; (2) social-all-substance users reported polydrug use at the individual and network levels; (3) social-noninjection drug users reported less likelihood of injection drug and solvent use; (4) low-risk users reported low probabilities across substances. Unstable housing, preadolescent substance use, age, and hepatitis C status predicted risk profiles. Conclusions. Incorporation of social network variables into LCA can distinguish important subgroups with varying patterns of risk behaviors that can lead to sexually transmitted and bloodborne infections. (Am J Public Health. Published online ahead of print March 13, 2014: e1-e6. doi:10.2105/AJPH.2013.301833).
    American Journal of Public Health 03/2014; 104(5). DOI:10.2105/AJPH.2013.301833 · 4.23 Impact Factor