Assessing differences in groups randomized by recruitment chain in a respondent-driven sample of Seattle-area injection drug users

Annals of Epidemiology

Volumn 24, Issue 11, 2014, Pages 861-867.e14

  Burt, Richard D ^a   Thiede, Hanne ^a  

^a PUBLIC HEALTH SEATTLE AND KING COUNTY   (United States)

Author keywords

HIV; IDU; Respondent driven sampling

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; DRUG USE; FEMALE; HIV TEST; HUMAN; HUMAN EXPERIMENT; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTERMETHOD COMPARISON; MALE; NORMAL HUMAN; RANDOMIZATION; RESPONDENT DRIVEN SAMPLING; RISK ASSESSMENT; SAMPLING; SEXUAL BEHAVIOR; SEXUALITY; UNITED STATES; ADOLESCENT; AGE; DEMOGRAPHY; ETHNOLOGY; HIGH RISK BEHAVIOR; HIV INFECTIONS; METHODOLOGY; MIDDLE AGED; PATIENT SELECTION; SEX DIFFERENCE; SOCIOECONOMICS; STATISTICS AND NUMERICAL DATA; SUBSTANCE ABUSE; YOUNG ADULT;

ADOLESCENT; ADULT; AGE FACTORS; DRUG USERS; FEMALE; HIV INFECTIONS; HUMANS; MALE; MIDDLE AGED; PATIENT SELECTION; RANDOM ALLOCATION; RESEARCH DESIGN; RESIDENCE CHARACTERISTICS; RISK-TAKING; SEX FACTORS; SEXUAL BEHAVIOR; SOCIOECONOMIC FACTORS; SUBSTANCE ABUSE, INTRAVENOUS; WASHINGTON; YOUNG ADULT;

EID: 84908310234     PISSN: 10472797     EISSN: 18732585     Source Type: Journal    
DOI: 10.1016/j.annepidem.2014.09.002     Document Type: Article

References (42)

1. Heckathorn D.D. Respondent-driven sampling: a new approach to the study of hidden populations. Soc Probl 1997, 44(2):174-199.
2. Gile K.J. Improved inference for respondent-driven sampling data with application to HIV prevalence estimation. JAm Stat Soc 2012, 103(493):135-146.
3. Heckathorn D.D. Extensions of respondent-driven sampling: analyzing continuous variables and controlling for differential recruitment. Sociological Methodol 2007, 37:151-207.
4. Salganik M.J., Heckathorn D.D. Sampling and estimation in hidden populations using respondent-driven sampling. Sociological Methodol 2004, 34(1):193-240.
5. Volz E., Heckathorn D.D. Probability based estimation theory for respondent driven sampling. JOfficial Stat 2011, 24:79-97.
6. Tomas A., Gile K.J. The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling. Elec J Stat 2011, 5:899-934.
7. Heckathorn D.D. Respondent-driven sampling II: deriving valid population estimates from chain-referral samples of hidden populations. Social Probl 2002, 29:11-34.
8. Malekinejad M., Johnston L.G., Kendall C., Kerr L.R., Rifkin M.R., Rutherford G.W. Using respondent-driven sampling methodology for HIV biological and behavioral surveillance in international settings: a systematic review. AIDS Behav 2008, 12(4 Suppl):S105-S130.
9. Johnston L.G., Malekinejad M., Kendall C., Iuppa I.M., Rutherford G.W. Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings. AIDS Behav 2008, 12(Suppl):S131-S141.
10. Montealegre J.R., Johnston L.G., Murrill C., Monterroso E. Respondent driven sampling for HIV biological and behavioral surveillance in Latin America and the Caribbean. AIDS Behav 2013, 17:2312-2340.
11. Gile K.J., Handcock M.S. Respondent-driven sampling: an assessment of current methodology. Sociological Methodol 2010, 40(1):285-327.
12. Paquette D., Bryant J., de Wit J. Respondent-driven sampling and the recruitment of people with small injecting networks. AIDS B 2012, 16:890-899.
13. Rudolph A.E., Fuller C.M., Latkin C. The importance of measuring and accounting for potential biases in respondent-driven sampling. AIDS Behav 2014, 17:2244-2252.
14. Guo Y., Li X., Fang S., Lin X., Song Y., Jiang S. Acomparison of four sampling methods among men having sex with men in China: implications for HIV/STD surveillance and prevention. AIDS Care 2011, 23:1400-1409.
15. Weir S.S., Merli M.G., Li J., Gandha A.D., Neeley W.W., Edwards J.K. Acomparison of respondent-driven and venue-based sampling of female sex workers in Liuzhou, China. Sex Transm Infect 2013, 88(Suppl 2):i95-101.
16. Rudolph A.E., Crawford N.D., Latkin C., Heimer R., Benjamin E.O., Jones K.C., et al. Subpopulations of illicit drug users reached by targeted street outreach and respondent-driven sampling strategies: implications for research and public health practice. Ann Epidemiol 2011, 21(4):280-289.
17. Kral A.H., Malekinejad M., Vaudrey J., Martinez A.N., Lorvick J., McFarland W., et al. Comparing respondent-driven sampling and targeted sampling methods of recruiting injection drug users in San Francisco. JUrban Health 2010, 87(5):839-850.
18. Robinson W.T., Risser J.M., McGoy S., Becker A.B., Rehman H., Jefferson M., et al. Recruiting injection drug users: a three-site comparison of results and experiences with respondent-driven and targeted sampling procedures. JUrban Health 2006, 83(6 Suppl):i29-i38.
19. McCreesh N., Frost S., Seeley J., Katongole J., Tarsh M.N., Ndunguse R., et al. Evaluation of respondent-driven sampling. Epidemiology 2012, 23(1):138-147.
20. Wei C., McFarland W., Colfax G.N., Fuqua V., Raymond H.F. Reaching black men who have sex with men: a comparison between respondent-driven sampling and time-location sampling. Sex Transm Infect 2012, 88:622-626.
21. He Q., Wang Y., Li Y., Zhang Y., Lin P., Yang F., et al. Accessing men who have sex with men through long-chain referral recruitment, Guangzhou, China. AIDS Behav 2008, 12(4 Suppl):S93-S96.
22. Burt R.D., Hagan H., Sabin K., Thiede H. Evaluating respondent-driven sampling in a major metropolitan area: comparing injection drug users in the 2005 Seattle area national HIV behavioral surveillance system survey with participants in the RAVEN and Kiwi studies. Ann Epidemiol 2010, 20(2):159-167.
23. Paz-Bailey G., Jacobson J.O., Hernandez F.M., Nieto A.I., Estrada M., Creswell J. How many men who have sex with men and female sex workers live in El Salvador? Using respondent-driven sampling and capture-recapture to estimate population sizes. Sex Transm Infect 2011, 87:279-282.
24. Goel S., Salganik M.J. Assessing respondent-driven sampling. Proc Natl Acad Sci U S A 2010, 107(15):6743-6747.
25. Lu X., Bengtsson L., Britton T., Camitz M., Kim V.J., Thorson A., et al. The sensitivity of respondent-driven sampling method. JR Stat Soc: Ser A 2011, 175(1):191-216.
26. Ma X., Zhang Q., He X., Sun W., Yue H., Chen S., et al. Trends in prevalence of HIV, syphilis, hepatitis C, hepatitis B, and sexual risk behavior among men who have sex with men. Results of 3 consecutive respondent-driven sampling surveys in Beijing, 2004 through 2006. JAcquir Immune Defic Syndr 2007, 45(5):581-587.
27. Zhong F., Lin P., Xu H., Wang Y., Wang M., He Q., et al. Possible increase in HIV and syphilis prevalence among men who have sex with men in Guangzhou, China: results from a respondent-driven sampling survey. AIDS Behav 2011, 15(5):1058-1066.
28. Ruan R., Yang H., Zhu Y., Wang M., Ma Y., Zhao J., et al. Rising HIV prevalence among married and unmarried among men who have sex with men: Jinan, China. AIDS Behav 2009, 13:671-676.
29. Burt R.D., Thiede H. Evaluating consistency in repeat surveys of injection drug users recruited by respondent-driven sampling in the Seattle area: results from the NHBS-IDU1 and NHBS-IDU2 surveys. Ann Epidemiol 2012, 22(5):354-363.
30. Townsend L., Johnston L.G., Flisher A.J., Mathews C., Zembe Y. Effectiveness of respondent-driven sampling to recruit high risk heterosexual men who have multiple female sexual partners: differences in HIV prevalence and sexual risk behaviors measured at two time points. AIDS Behav 2010, 14(6):1330-1339.
31. Gallagher K., Sullivan P.S., Lansky A., Onorato I. Behavioral surveillance among people at risk for HIV infection in the U.S.: The National HIV Behavioral Surveillance System. Public Health Rep 2007, 122:32-38.
32. Respondentdrivensampling.org. Available at: 2013. http://www.respondentdrivensampling.org.
33. SPSS. version 20 2011, SPSS, Chicago, IL.
34. Harris N.V., Thiede H., McGough J.P., Gordon D. Risk factors for HIV infection among injection drug users: results of blinded surveys in drug treatment centers, King County, Washington 1988-1991. JAcquir Immune Defic Syndr 1993, 6(11):1275-1282.
35. Burt R.D., Thiede H. Evidence for risk reduction among amphetamine-injecting men who have sex with men: results from the National HIV Behavioral Surveillance surveys in the Seattle area 2008-2012. AIDS Behav April 12, 2014, published on-line http://doi:10.1007/s10461-014-0769-0.
36. Thiede H, Burt RD. Results from the Kiwi Study: HIV and Hepatitis C prevalence and risk behaviors in recently arrested injection drug users in King County. Washington State/Seattle-King County HIV/AIDS Epidemiology Report 1st Half 2004 Available at: 2003;25-35. http://www.kingcounty.gov/healthservices/health/communicable/hiv/epi/reports%20aspx.
37. Burt R.D., Oster A.M., Golden M.R., Thiede H. Comparing study populations of men who have sex with men: evaluating consistency within repeat studies and across studies in the Seattle area using different recruitment methodologies. AIDS Behav 2014, 18:S370-S381.
38. Salganik M.J. Variance estimation, design effects, and sample size calculations for respondent-driven sampling. JUrban Health 2006, 83(6 Suppl):i98-112.
39. Wejnert C., Pham H., Krishna N., Le B., DiNenno E. Estimating design effect and calculating sample size for respondent-driven sampling studies of injection drug users in the United States. AIDS Behav 2012, 16(4):797-806.
40. Wejnert C., Heckathorn D.D. Web-based network sampling efficiency and efficacy of respondent-driven sampling for online research. Sociol Methods Res 2008, 37(134).
41. Magnani R., Sabin K., Saidel T., Heckathorn D. Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS 2005, 19(Suppl 2):S67-S72.
42. Semaan S., Lauby J., Liebman J. Street and network sampling in evaluation studies of HIV risk-reduction interventions. AIDS Rev 2002, 4(4):213-223.