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Factors Associated with Productive Recruiting in a Respondent-Driven Sample of Men who Have Sex with Men in Vancouver, Canada

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Abstract

Respondent-driven sampling (RDS) has become a preferred sampling strategy for HIV research and surveillance in many global settings. Methodological investigation into the validity of RDS-generated samples has helped improve theoretical components of design. However, the operational challenges of implementing RDS remain underreported. We sought to identify factors independently associated with productive recruiting in an urban RDS-generated sample of gay, bisexual, and other men who have sex with men (MSM). Data were collected from the Momentum Health Study, a cohort of MSM recruited by RDS in Vancouver, Canada. Eligible men were given up to six RDS coupons to recruit their peers. The primary outcome was a count variable of each participant’s number of eligible recruits. Multivariable Poisson regression identified independent predictors of productive recruitment. In total, 719 individuals comprised this analysis, of which 119 were seeds. The distribution of eligible recruits was right skewed, with 391 (54.4 %) having never recruited another participant and only eight participants (1.1 %) having recruited five. Significant, independent predictors of recruiting one additional participant included network size per ten unit increase (adjusted risk ratio [aRR] 1.03), being of Aboriginal race/ethnicity compared with White (aRR 1.51), being HIV-positive (aRR 1.31), being sexually active with only males (aRR 2.48), being single compared with common law/married (aRR 1.37), having recently read gay newspapers (aRR 1.58), having recently sought sex partners online (aRR 1.33) and being out to a male parent (aRR 1.30). This analysis demonstrates the importance of social network size in RDS adjustment, but also identifies other socio-demographic and behavioral variables that increased RDS coupon return, which may help researchers better operationalize the implementation of RDS.

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References

  1. Magnani R, Sabin K, Saidel T, Heckathorn D. Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS. 2005; 19(2): S67–72.

    Article  PubMed  Google Scholar 

  2. Thompson SK, Collins LM. Adaptive sampling in research on risk-related behaviors. Drug Alcohol Depend. 2002; 68(Suppl 1): S57–67.

    Article  PubMed  Google Scholar 

  3. Malekinejad M, Johnston LG, Kendall C, Kerr LR, Rifkin MR, Rutherford GW. Using respondent-driven sampling methodology for HIV biological and behavioral surveillance in international settings: a systematic review. AIDS Behav. 2008; 12(4 Suppl): S105–30.

    Article  PubMed  Google Scholar 

  4. Heckathorn DD. Respondent-driven sampling: a new approach to the study of hidden populations. Soc Probl. 1997; 44(2): 174–99.

    Article  Google Scholar 

  5. Heckathorn DD. Extensions of respondent‐driven sampling: analyzing continuous variables and controlling for differential recruitment. Sociol Methodol. 2007; 37(1): 151–207.

    Article  Google Scholar 

  6. Gile KJ, Handcock MS. Respondent-driven sampling: an assessment of current methodology. Sociol Methodol. 2010; 40(1): 285–327.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Liu H, Li J, Ha T, Li J. Assessment of random recruitment assumption in respondent-driven sampling in egocentric network data. Soc Netw. 2012; 1(2): 13–21.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Mills HL, Johnson S, Hickman M, Jones NS, Colijn C. Errors in reported degrees and respondent driven sampling: implications for bias. Drug Alcohol Depend. 2014; 142: 120–6.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Rudolph AE, Fuller CM, Latkin C. The importance of measuring and accounting for potential biases in respondent-driven samples. AIDS Behav. 2013; 17(6): 2244–52.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Salganik MJ. Variance estimation, design effects, and sample size calculations for respondent-driven sampling. J Urban Health. 2006; 83(6 Suppl): i98–112.

    Article  PubMed  Google Scholar 

  11. Sabin KM, Johnston LG. Epidemiological challenges to the assessment of HIV burdens among key populations: respondent-driven sampling, time-location sampling and demographic and health surveys. Curr Opin HIV AIDS. 2014; 9(2): 101–6.

    Article  PubMed  Google Scholar 

  12. White RG, Hakim AJ, Salganik MJ, et al. Strengthening the reporting of observational studies in epidemiology for respondent-driven sampling studies: “STROBE-RDS” statement. J Clin Epidemiol. 2015; 68(12): 1463–71.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Johnston LG, Malekinejad M, Kendall C, Iuppa IM, Rutherford GW. Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings. AIDS Behav. 2008; 12(4 Suppl): S131–41.

    Article  PubMed  Google Scholar 

  14. Reisner SL, Mimiaga MJ, Johnson CV, et al. What makes a respondent-driven sampling “seed” productive? Example of finding at-risk Massachusetts men who have sex with men. J Urban Health. 2010; 87(3): 467–79.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Vuong QH. Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica: J Econ Soc. 1989; 57(2): 307–33.

    Article  Google Scholar 

  16. Duncan KC, Reading C, Borwein AM, et al. HIV incidence and prevalence among aboriginal peoples in Canada. AIDS Behav. 2011; 15(1): 214–27.

    Article  PubMed  Google Scholar 

  17. Joy R, Druyts EF, Brandson EK, et al. Impact of neighborhood-level socioeconomic status on HIV disease progression in a universal health care setting. J Acquir Immune Defic Syndr. 2008; 47(4): 500–5.

    Article  PubMed  Google Scholar 

  18. Moore DM, Kanters S, Michelow W, et al. Implications for HIV prevention programs from a serobehavioural survey of men who have sex with men in Vancouver, British Columbia: the ManCount study. Can J Public Health. 2012; 103(2): 142–6.

    PubMed  Google Scholar 

  19. Kendall C, Kerr LR, Gondim RC, et al. An empirical comparison of respondent-driven sampling, time location sampling, and snowball sampling for behavioral surveillance in men who have sex with men, Fortaleza. Brazil AIDS Behav. 2008; 12(4): S97–104.

    Article  PubMed  Google Scholar 

  20. McCreesh N, Copas A, Seeley J, et al. Respondent driven sampling: determinants of recruitment and a method to improve point estimation. PLoS One. 2013; 8(10), e78402.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Kuhns LM, Kwon S, Ryan DT, Garofalo R, Phillips G 2nd, Mustanski BS. Evaluation of respondent-driven sampling in a study of urban young men who have sex with men. J Urban Health. 2015; 92(1): 151–67.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Truong HM, Grasso M, Chen YH, et al. Balancing theory and practice in respondent-driven sampling: a case study of innovations developed to overcome recruitment challenges. PLoS One. 2013; 8(8), e70344.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Forrest JI, Stevenson B, Rich A, et al. Community mapping and respondent-driven sampling of gay and bisexual men’s communities in Vancouver, Canada. Cult Health Sex. 2014; 16(3): 288–301.

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the Momentum Study participants, office staff and community advisory board, as well as our community partner agencies, the Health Initiative for Men, YouthCO HIV, and HepC Society of BC, and the Positive Living Society of BC. Momentum is funded through the National Institute on Drug Abuse (Grant #R01DA031055-01A1) and the Canadian Institutes for Health Research (Grant # MOP-107544). NJL is supported by a CANFAR/CTN Postdoctoral Fellowship. DMM is supported by a Scholar Award from the Michael Smith Foundation for Health Research.

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Correspondence to Jamie I. Forrest.

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Forrest, J.I., Lachowsky, N.J., Lal, A. et al. Factors Associated with Productive Recruiting in a Respondent-Driven Sample of Men who Have Sex with Men in Vancouver, Canada. J Urban Health 93, 379–387 (2016). https://doi.org/10.1007/s11524-016-0032-2

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