Respondent-Driven Sampling (RDS) of People Who Inject Drugs
Assessing RDS Assumptions and Requirements
Bibliographic Data
| ID | 11057264 |
|---|---|
| Authors | Daniel Paquette (0000-0002-4149-5746, corresponding author), Dana M Paquette, J Bryant (0000-0002-5271-2881), John De Wit (0000-0002-5895-7935) |
| Year | 2010 |
| Volume | 37 |
| Issue | 4 |
| Pages | 575-598 |
| Publication date | 2010-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Contemporary Drug Problems (JOURNAL) |
| Journal identifiers | ISSN: 0091-4509 • E-ISSN: 2163-1808 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/009145091003700404 |
| OpenAlex | W2045870129 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
Respondent-driven sampling (RDS) is a relatively new form of sampling hidden populations. RDS has the ability to produce valid population estimates, provided that certain assumptions are met. This study examined whether an RDS survey of people who inject drugs (PWID) conducted in South East Sydney was able to meet the assumptions and requirements necessary to produce valid population estimates. From November 2009 to March 2010, 261 participants were recruited in 16 waves. While the method's requirements and assumptions were largely met, an apparent lack of random recruitment and the low proportion of coupons returned were sources of concern. This study shows that RDS can be used successfully in Australia as a means of recruiting PWID. However, more work is needed to confirm the soundness of the assumptions on which the calculation of valid population estimates are based
Environmental health · Multistage sampling · Political science · Population · Respondent · Sampling (signal processing) · Sociology · Soundness · Statistics · Computer Science · Demography · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Law · Mathematics · Medicine · Opioid Use Disorder Treatment
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| Citations per year | 0.27 |
|---|---|
| Citation span | 2011 - 2019 (9) |
| Highly cited | No |