Literature DB >> 20123167

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.

Richard D Burt1, Holly Hagan, Keith Sabin, Hanne Thiede.   

Abstract

PURPOSE: To empirically evaluate respondent-driven sampling (RDS) recruitment methods, which have been proposed as an advantageous means of surveying hidden populations.
METHODS: The National HIV Behavioral Surveillance system used RDS to recruit 370 injection drug users (IDU) in the Seattle area in 2005 (NHBS-IDU1). We compared the NHBS-IDU1 estimates of participants' area of residence, age, race, sex, and drug most frequently injected to corresponding data from two previous surveys, the RAVEN and Kiwi Studies, and to persons newly diagnosed with HIV/AIDS and reported from 2001 through 2005.
RESULTS: The NHBS-IDU1 population was estimated to be more likely to reside in downtown Seattle (52%) than participants in the other data sources (22%-25%), be older than 50 years of age (29% vs. 5%-10%), and report multiple races (12% vs. 3%-5%). The NHBS-IDU1 population resembled persons using the downtown needle exchange in age and race distribution. An examination of cross-group recruitment frequencies in NHBS-IDU1 suggested barriers to recruitment across different areas of residence, races, and drugs most frequently injected.
CONCLUSIONS: The substantial differences in age and area of residence between NHBS-IDU1 and the other data sources suggest that RDS may not have accessed the full universe of Seattle area injection networks. Further empirical data are needed to guide the evaluation of RDS-generated samples. 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20123167      PMCID: PMC2818430          DOI: 10.1016/j.annepidem.2009.10.002

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  27 in total

Review 1.  Review of sampling hard-to-reach and hidden populations for HIV surveillance.

Authors:  Robert Magnani; Keith Sabin; Tobi Saidel; Douglas Heckathorn
Journal:  AIDS       Date:  2005-05       Impact factor: 4.177

Review 2.  Variance estimation, design effects, and sample size calculations for respondent-driven sampling.

Authors:  Matthew J Salganik
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

3.  Recruiting injection drug users: a three-site comparison of results and experiences with respondent-driven and targeted sampling procedures.

Authors:  William T Robinson; Jan M H Risser; Shanell McGoy; Adam B Becker; Hafeez Rehman; Mary Jefferson; Vivian Griffin; Marcia Wolverton; Stephanie Tortu
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

4.  Assessing the completeness of reporting of human immunodeficiency virus diagnoses in 2002-2003: capture-recapture methods.

Authors:  H Irene Hall; Ruiguang Song; John E Gerstle; Lisa M Lee
Journal:  Am J Epidemiol       Date:  2006-06-13       Impact factor: 4.897

5.  Assessment of respondent driven sampling for recruiting female sex workers in two Vietnamese cities: reaching the unseen sex worker.

Authors:  Lisa Grazina Johnston; Keith Sabin; Thu Hien Mai; Thi Huong Pham
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

6.  From networks to populations: the development and application of respondent-driven sampling among IDUs and Latino gay men.

Authors:  Jesus Ramirez-Valles; Douglas D Heckathorn; Raquel Vázquez; Rafael M Diaz; Richard T Campbell
Journal:  AIDS Behav       Date:  2005-12

7.  Exploring barriers to 'respondent driven sampling' in sex worker and drug-injecting sex worker populations in Eastern Europe.

Authors:  Milena Simic; Lisa Grazina Johnston; Lucy Platt; Sladjana Baros; Violeta Andjelkovic; Tom Novotny; Tim Rhodes
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

8.  Respondent-driven sampling in a study of drug users in New York City: notes from the field.

Authors:  Courtney McKnight; Don Des Jarlais; Heidi Bramson; Lisa Tower; Abu S Abdul-Quader; Chris Nemeth; Douglas Heckathorn
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

9.  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.

Authors:  Lucy Platt; Martin Wall; Tim Rhodes; Ali Judd; Matthew Hickman; Lisa G Johnston; Adrian Renton; Natalia Bobrova; Anya Sarang
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

10.  An analysis of respondent driven sampling with Injection Drug Users (IDU) in Albania and the Russian Federation.

Authors:  Ame Stormer; Waimar Tun; Lisa Guli; Arjan Harxhi; Zinaida Bodanovskaia; Anna Yakovleva; Maia Rusakova; Olga Levina; Roland Bani; Klodian Rjepaj; Silva Bino
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

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  34 in total

1.  Assessing respondent-driven sampling.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-29       Impact factor: 11.205

2.  Seroadaptation in a sample of very poor Los Angeles area men who have sex with men.

Authors:  Ryan D Murphy; Pamina M Gorbach; Robert E Weiss; Christopher Hucks-Ortiz; Steven J Shoptaw
Journal:  AIDS Behav       Date:  2013-06

3.  Respondent-driven sampling to recruit young adult non-medical users of pharmaceutical opioids: problems and solutions.

Authors:  Raminta Daniulaityte; Russel Falck; Linna Li; Ramzi W Nahhas; Robert G Carlson
Journal:  Drug Alcohol Depend       Date:  2011-08-31       Impact factor: 4.492

4.  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.

Authors:  Richard D Burt; Hanne Thiede
Journal:  Ann Epidemiol       Date:  2012-03-14       Impact factor: 3.797

5.  Respondent driven sampling is an effective method for engaging methamphetamine users in HIV prevention research in South Africa.

Authors:  Stephen M Kimani; Melissa H Watt; M Giovanna Merli; Donald Skinner; Bronwyn Myers; Desiree Pieterse; Jessica C MacFarlane; Christina S Meade
Journal:  Drug Alcohol Depend       Date:  2014-08-02       Impact factor: 4.492

6.  Evaluation of respondent-driven sampling in a study of urban young men who have sex with men.

Authors:  Lisa M Kuhns; Soyang Kwon; Daniel T Ryan; Robert Garofalo; Gregory Phillips; Brian S Mustanski
Journal:  J Urban Health       Date:  2015-02       Impact factor: 3.671

7.  The Impact of Syringe Services Program Policy on Risk Behaviors Among Persons Who Inject Drugs in 3 US Cities, 2005-2015.

Authors:  Tanner Nassau; Alia Al-Tayyib; William T Robinson; Jennifer Shinefeld; Kathleen A Brady
Journal:  Public Health Rep       Date:  2020 Jul/Aug       Impact factor: 2.792

8.  Associations of place characteristics with HIV and HCV risk behaviors among racial/ethnic groups of people who inject drugs in the United States.

Authors:  Sabriya L Linton; Hannah L F Cooper; Mary E Kelley; Conny C Karnes; Zev Ross; Mary E Wolfe; Yen-Tyng Chen; Samuel R Friedman; Don Des Jarlais; Salaam Semaan; Barbara Tempalski; Catlainn Sionean; Elizabeth DiNenno; Cyprian Wejnert; Gabriela Paz-Bailey
Journal:  Ann Epidemiol       Date:  2016-08-08       Impact factor: 3.797

9.  Methodological and Ethical Considerations in Research With Immigrant and Refugee Survivors of Intimate Partner Violence.

Authors:  Veronica P S Njie-Carr; Bushra Sabri; Jill T Messing; Allison Ward-Lasher; Crista E Johnson-Agbakwu; Catherine McKinley; Nicole Campion; Saltanat Childress; Joyell Arscott; Jacquelyn Campbell
Journal:  J Interpers Violence       Date:  2019-09-24

10.  Evaluating outcome-correlated recruitment and geographic recruitment bias in a respondent-driven sample of people who inject drugs in Tijuana, Mexico.

Authors:  Abby E Rudolph; Tommi L Gaines; Remedios Lozada; Alicia Vera; Kimberly C Brouwer
Journal:  AIDS Behav       Date:  2014-12
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