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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 09 04 2021
accepted: 31 10 2021
entrez: 18 11 2021
pubmed: 19 11 2021
medline: 6 1 2022
Statut: epublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 34793523
doi: 10.1371/journal.pone.0259983
pii: PONE-D-21-11805
pmc: PMC8601441
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0259983

Subventions

Organisme : NIDA NIH HHS
ID : R01 DA041978
Pays : United States

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Don C Des Jarlais (DC)

New York University School of Global Public Health, New York, NY, United States of America.

Kamyar Arasteh (K)

New York University School of Global Public Health, New York, NY, United States of America.

Duong Thi Huong (DT)

Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam.

Khuat Thi Hai Oanh (KTH)

Supporting Community Development Initiatives, Hanoi, Vietnam.

Jonathan P Feelemyer (JP)

New York University School of Global Public Health, New York, NY, United States of America.

Pham Minh Khue (PM)

Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam.

Hoang Thi Giang (HT)

Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam.

Nham Thi Tuyet Thanh (NTT)

Supporting Community Development Initiatives, Hanoi, Vietnam.

Vu Hai Vinh (VH)

Dept of Infectious and Tropical diseases, Viet Tiep Hospital, Haiphong, Vietnam.

Sao Mai Le (SM)

Haiphong University of Medicine and Pharmacy, Haiphong, Vietnam.

Roselyne Vallo (R)

Pathogenèses and control of chronic and emerging infections, University of Montpellier, Inserm, Etablissement Français du Sang, University of Antilles, Montpellier, France.

Catherine Quillet (C)

Pathogenèses and control of chronic and emerging infections, University of Montpellier, Inserm, Etablissement Français du Sang, University of Antilles, Montpellier, France.

Delphine Rapoud (D)

Pathogenèses and control of chronic and emerging infections, University of Montpellier, Inserm, Etablissement Français du Sang, University of Antilles, Montpellier, France.

Laurent Michel (L)

Pierre Nicole Center, French Red Cross, CESP/Inserrm 1018, Paris, France.

Didier Laureillard (D)

Pathogenèses and control of chronic and emerging infections, University of Montpellier, Inserm, Etablissement Français du Sang, University of Antilles, Montpellier, France.
Infectious Diseases Department, Caremeau University Hospital, Nîmes, France.

Jean Pierre Moles (JP)

Pathogenèses and control of chronic and emerging infections, University of Montpellier, Inserm, Etablissement Français du Sang, University of Antilles, Montpellier, France.

Nicolas Nagot (N)

Pathogenèses and control of chronic and emerging infections, University of Montpellier, Inserm, Etablissement Français du Sang, University of Antilles, Montpellier, France.

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