Implementation and Analysis of Respondent Driven Sampling: Lessons Learned from the Field

Those who engage in illegal or stigmatized behaviors, which put them at risk of HIV infection, are largely concentrated in urban centers. Owing to their illegal and/or stigmatized behaviors, they are difficult to reach with public health surveillance and prevention programs.1 These populations include illicit drug users, sex workers and men who have sex with men. Development and implementation of adequate prevention services targeting hidden populations requires data on risk behaviors and disease prevalence from non-biased samples. In the last two decades, a number of sampling methods have been used to collect risk behavior and disease prevalence data from highly at-risk populations and to direct survey participants to prevention services. These include venue-based time–space sampling, targeted sampling, and snowball sampling.

[1]  John Skvoretz,et al.  Biased networks and social structure theorems: Part II , 1984 .

[2]  Matthew J. Salganik,et al.  5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling , 2004 .

[3]  Courtney McKnight,et al.  Respondent-Driven Sampling in a Study of Drug Users in New York City: Notes from the Field , 2006, Journal of Urban Health.

[4]  Douglas D. Heckathorn,et al.  From Networks to Populations: The Development and Application of Respondent-Driven Sampling Among IDUs and Latino Gay Men , 2005, AIDS and Behavior.

[5]  J. Tiffany Respondent-Driven Sampling in Participatory Research Contexts: Participant-Driven Recruitment , 2006, Journal of Urban Health.

[6]  B. Nordstrom FINITE MARKOV CHAINS , 2005 .

[7]  P. Biernacki,et al.  TARGETED SAMPLING: OPTIONS FOR THE STUDY OF HIDDEN POPULATIONS , 1989 .

[8]  Rebeca Ramos,et al.  Respondent-Driven Sampling of Injection Drug Users in Two U.S.–Mexico Border Cities: Recruitment Dynamics and Impact on Estimates of HIV and Syphilis Prevalence , 2006, Journal of Urban Health.

[9]  John G. Kemeny,et al.  Finite Markov Chains. , 1960 .

[10]  Dimitri Prybylski,et al.  Application of Respondent Driven Sampling to Collect Baseline Data on FSWs and MSM for HIV Risk Reduction Interventions in Two Urban Centres in Papua New Guinea , 2006, Journal of Urban Health.

[11]  O. Levina,et al.  An Analysis of Respondent Driven Sampling with Injection Drug Users (IDU) in Albania and the Russian Federation , 2006, Journal of Urban Health.

[12]  Robert G Carlson,et al.  Respondent-driven sampling to recruit MDMA users: a methodological assessment. , 2005, Drug and alcohol dependence.

[13]  Thomas J. Fararo,et al.  Biased networks and social structure theorems , 1981 .

[14]  Jennifer Lauby,et al.  Street and network sampling in evaluation studies of HIV risk-reduction interventions. , 2002, AIDS reviews.

[15]  B Powis,et al.  Reaching hidden populations of drug users by privileged access interviewers: methodological and practical issues. , 1993, Addiction.

[16]  Douglas D. Heckathorn,et al.  Respondent-driven sampling : A new approach to the study of hidden populations , 1997 .

[17]  Stephanie Tortu,et al.  Recruiting Injection Drug Users: A Three-Site Comparison of Results and Experiences with Respondent-Driven and Targeted Sampling Procedures , 2006, Journal of Urban Health.

[18]  L. Johnston,et al.  Assessment of Respondent Driven Sampling for Recruiting Female Sex Workers in Two Vietnamese Cities: Reaching the Unseen Sex Worker , 2006, Journal of Urban Health.

[19]  Matthew J. Salganik Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling , 2006, Journal of Urban Health.

[20]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[21]  Lisa G. Johnston,et al.  Methods to Recruit Hard-to-Reach Groups: Comparing Two Chain Referral Sampling Methods of Recruiting Injecting Drug Users Across Nine Studies in Russia and Estonia , 2006, Journal of Urban Health.

[22]  D. Heckathorn,et al.  Extensions of Respondent-Driven Sampling: A New Approach to the Study of Injection Drug Users Aged 18–25 , 2002, AIDS and Behavior.

[23]  H. Siegal,et al.  An Ethnographic Approach to Targeted Sampling: Problems and Solutions in AIDS Prevention Research among Injection Drug and Crack-Cocaine Users , 1994 .

[24]  Douglas D. Heckathorn,et al.  Respondent-driven sampling II: deriving valid population estimates from chain-referral samples of hi , 2002 .

[25]  Violeta Andjelkovic,et al.  Exploring Barriers to ‘Respondent Driven Sampling’ in Sex Worker and Drug-Injecting Sex Worker Populations in Eastern Europe , 2006, Journal of Urban Health.