Literature DB >> 21550790

Use of respondent-driven sampling to enhance understanding of injecting networks: a study of people who inject drugs in Sydney, Australia.

Dana M Paquette1, Joanne Bryant, John De Wit.   

Abstract

BACKGROUND: Respondent-driven sampling (RDS) is a method for recruiting hidden populations, such as people who inject drugs (PWID). In RDS, participants recruit their peers into the study; who recruited who into the study is tracked, and thus information is gathered on the population's social networks. The purpose of this study was to use information collected from an RDS study of PWID to determine the size and structure of injecting networks and whether network characteristics are associated with sharing injecting equipment.
METHODS: A study was launched in Sydney, Australia in 2009 with five seeds, who were asked to recruit three participants each into the survey. This process was repeated until the target sample size was reached. The median size of injecting networks and the homophily (a measure of in-group affiliation) of different subgroups were calculated. Participants' information was linked with that of their recruiter to form dyads, and multivariate analysis was conducted to determine whether dyad and injecting network characteristics were associated with sharing injecting equipment within the dyads.
RESULTS: The injecting networks were large, the lowest median subgroup network size being 12. Homophily estimates indicated a lack of strong ties both within and across groups. In the multivariate analysis, factors significantly associated with sharing injecting equipment within dyads were feeling very close to their recruiter and having one or both members of the dyad identify as Aboriginal or Torres Strait Islander and one or both members having not been tested for hepatitis C in the previous year.
CONCLUSION: RDS provided valuable information on injecting networks in Sydney. PWID were shown to be socially connected with a large number of other injectors, and affiliations were formed without regard to demographic or drug use characteristics. Linking information from the recruits with that of their recruiter was a useful way of organizing information to gain a more complete understanding of risk behaviour.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21550790     DOI: 10.1016/j.drugpo.2011.03.007

Source DB:  PubMed          Journal:  Int J Drug Policy        ISSN: 0955-3959


  8 in total

1.  Using Network Sampling and Recruitment Data to Understand Social Structures Related to Community Health in a Population of People Who Inject Drugs in Rural Puerto Rico.

Authors:  Mayra Coronado-García; Courtney R Thrash; Melissa Welch-Lazoritz; Robin Gauthier; Juan Carlos Reyes; Bilal Khan; Kirk Dombrowski
Journal:  P R Health Sci J       Date:  2017-06       Impact factor: 0.705

2.  Injection Partners, HCV, and HIV Status among Rural Persons Who Inject Drugs in Puerto Rico.

Authors:  Patrick Habecker; Roberto Abadie; Melissa Welch-Lazoritz; Juan Carlos Reyes; Bilal Khan; Kirk Dombrowski
Journal:  Subst Use Misuse       Date:  2017-11-22       Impact factor: 2.164

3.  Network Characteristics of People Who Inject Drugs Within a New HIV Epidemic Following Austerity in Athens, Greece.

Authors:  Michelle A Tsang; John A Schneider; Vana Sypsa; Phil Schumm; Georgios K Nikolopoulos; Dimitrios Paraskevis; Samuel R Friedman; Meni Malliori; Angelos Hatzakis
Journal:  J Acquir Immune Defic Syndr       Date:  2015-08-01       Impact factor: 3.731

4.  Peer-based Retention Of people who Use Drugs in Rural Research (PROUD-R2): a multisite, randomised, 12-month trial to compare efficacy of standard versus peer-based approaches to retain rural people who use drugs in research.

Authors:  April M Young; Kathryn E Lancaster; Sarann Bielavitz; Miriam R Elman; Ryan R Cook; Gillian Leichtling; Edward Freeman; Angela T Estadt; Morgan Brown; Rhonda Alexander; Caiti Barrie; Kandi Conn; Rhody Elzaghal; Lisa Maybrier; Renee McDowell; Cathy Neal; Jodi Lapidus; Elizabeth N Waddell; P Todd Korthuis
Journal:  BMJ Open       Date:  2022-06-15       Impact factor: 3.006

5.  The micro-social risk environment for injection drug use: An event specific analysis of dyadic, situational, and network predictors of injection risk behavior.

Authors:  Patrick Janulis
Journal:  Int J Drug Policy       Date:  2015-10-31

Review 6.  Hepatitis C bio-behavioural surveys in people who inject drugs-a systematic review of sensitivity to the theoretical assumptions of respondent driven sampling.

Authors:  Ryan Buchanan; Salim I Khakoo; Jonathan Coad; Leonie Grellier; Julie Parkes
Journal:  Harm Reduct J       Date:  2017-07-11

7.  The distribution and socioeconomic burden of Hepatitis C virus in South Australia: a cross-sectional study 2010-2016.

Authors:  Bernard Luke Edmunds; Emma Ruth Miller; George Tsourtos
Journal:  BMC Public Health       Date:  2019-05-08       Impact factor: 3.295

8.  Feasibility of recruiting a diverse sample of men who have sex with men: observation from Nanjing, China.

Authors:  Weiming Tang; Haitao Yang; Tanmay Mahapatra; Xiping Huan; Hongjing Yan; Jianjun Li; Gengfeng Fu; Jinkou Zhao; Roger Detels
Journal:  PLoS One       Date:  2013-11-14       Impact factor: 3.240

  8 in total

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