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Using large-scale respondent driven sampling to monitor the end of an HIV epidemic among persons who inject drugs in Hai Phong, Viet Nam

Authors :
Roselyne Vallo
Pham Minh Khue
Laurent Michel
Kamyar Arasteh
Drive Study Team
Didier Laureillard
Vu Hai Vinh
Delphine Rapoud
Nicolas Nagot
Hoang Thi Giang
Don C. Des Jarlais
Sao Mai Le
Duong Thi Huong
Jonathan Feelemyer
Catherine Quillet
Khuat Thi Hai Oanh
Jean-Pierre Molès
Nham Thi Tuyet Thanh
College of Global Public Health [New York]
New York University [New York] (NYU)
NYU System (NYU)-NYU System (NYU)
Hai Phong University of Medicine and Pharmacy [Hai Phong, Vietnam]
Supporting Community Development Initiatives [Hanoï, Vietnam]
Viet Tiep Hospital [Hai Phong, Vietnam]
Pathogenesis and Control of Chronic and Emerging Infections (PCCEI)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Université des Antilles (UA)-Etablissement français du don du sang [Montpellier]
Centre Pierre Nicole [Paris]
Centre de recherche en épidémiologie et santé des populations (CESP)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay
Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)
Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)
Herrada, Anthony
Source :
PLoS ONE, Vol 16, Iss 11 (2021), PLoS ONE, PLoS ONE, Vol 16, Iss 11, p e0259983 (2021), PLoS ONE, Public Library of Science, 2021, 16 (11), pp.e0259983. ⟨10.1371/journal.pone.0259983⟩
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Aims To describe the use of large-scale respondent driven sampling (RDS) surveys to demonstrate the “end of an HIV epidemic” (HIV incidence < 0.5/100 person-years) among persons who inject drugs (PWID) in a middle-income country. Large sample sizes are needed to convincingly demonstrate very low incidence rates. Methods 4 large surveys (Ns approximately 1500 each) were conducted among PWID in Hai Phong, Vietnam in 2016–2019. Respondent driven sampling (RDS) with a modification to add snowball sampling was used for recruiting participants. HIV incidence was measured through recency testing, repeat participants across multiple surveys and in a cohort study of PWID recruited from the surveys. RDS analytics (time to equilibria and homophilies for major variables) were used to assess similarities/differences in RDS only versus RDS plus snowball recruiting. Characteristics were compared among respondents recruited through standard RDS recruitment versus through snowball sampling. An overall assessment of the robustness of RDS to modification was made when adding a snowball sampling recruitment. Results RDS recruiting was very efficient in the first 5 weeks of each survey with approximately 180 respondents recruited per week. Recruiting then slowed considerably, and snowball sampling (permitting an individual respondent to recruit large numbers of new respondents) was added to the existing RDS recruiting. This led to recruiting within 13–14 weeks of 1383, 1451, 1444 and 1268 respondents, close to the target of 1500 respondents/survey. Comparisons of participants recruited through standard RDS method and respondents recruited through snowball methods showed very few significant differences. RDS analytics (quickly reaching equilibria, low homophilies) were favorable for both RDS recruited and total numbers of participants in each survey. DRug use and Infections in ViEtnam (DRIVE) methods have now been officially adopted in other provinces. Conclusions RDS appears to be quite robust with respect to adding a modest number of participants recruited through snowball sampling. Large sample sizes can provide compelling evidence for “ending an HIV epidemic” to policy makers in a PWID population in a middle income country setting.

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
11
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....e5f0826f8dbca593a829b06050e98d59