Evidence map›Paper›PMID 31405731›Full record

ArticleThe International journal on drug policy2019

Divergent estimates of HIV incidence among people who inject drugs in Ukraine.

Olga Morozova, Robert E Booth, Sergii Dvoriak, Kostyantyn Dumchev, Yana Sazonova, Tetiana Saliuk, Forrest W Crawford

Abstract read
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Article in The International journal on drug policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Olga MorozovaDepartment of Biostatistics, Yale School of Public Health, 60 College St., New Haven, CT 06510, USA. Electronic address: olga.morozova@yale.edu.
Robert E BoothDepartment of Psychiatry, University of Colorado Denver, 13001 East 17th Place, Aurora, CO 80045, USA. Electronic address: robert.booth@ucdenver.edu.
Sergii DvoriakAcademy of Labour, Social Relations and Tourism, 3-A Kiltseva doroha, Kyiv 03187, Ukraine; Ukrainian Institute on Public Health Policy, 5 Mala Zhytomyrska St., Office 61-А, Kyiv 01001, Ukraine. Electronic address: dvoryak@uiphp.org.ua.
Kostyantyn DumchevUkrainian Institute on Public Health Policy, 5 Mala Zhytomyrska St., Office 61-А, Kyiv 01001, Ukraine. Electronic address: dumchev@uiphp.org.ua.
Yana SazonovaAlliance for Public Health, 5 Dilova St., building 10-A, Kyiv 03150, Ukraine. Electronic address: sazonova@aph.org.ua.
Tetiana SaliukAlliance for Public Health, 5 Dilova St., building 10-A, Kyiv 03150, Ukraine. Electronic address: salyuk@aph.org.ua.
Forrest W CrawfordDepartment of Biostatistics, Yale School of Public Health, 60 College St., New Haven, CT 06510, USA; Department of Ecology & Evolutionary Biology, Yale University, 165 Prospect St., New Haven, CT 06511, USA; Yale School of Management, Yale University, 165 Whitney Ave, New Haven, CT 06511, USA. Electronic address: forrest.crawford@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Network-based epidemiology for hidden and hard-to-reach populationsDP2HD091799 · NICHD · YALE UNIVERSITY · PI CRAWFORD, FORREST WRENN · 2016 to 2016
$2.5M
Peer Leaders as HIV Risk Reduction Change Agents Among IDUs in UkraineR01DA026739 · NIDA · UNIVERSITY OF COLORADO DENVER · PI BOOTH, ROBERT EDWIN · 2010 to 2014
$2.4M
Optimizing Medication-Assisted Therapy for Opioid Dependence in Ukraine: HIV Impact Modeling and Cost-Effectiveness EvaluationR36DA042643 · NIDA · YALE UNIVERSITY · PI MOROZOVA, OLGA · 2016 to 2017
$98k
NCATS NIH HHS UL1 TR001863NICHD NIH HHS DP2 HD091799NIDA NIH HHS R01 DA026739NIDA NIH HHS R36 DA042643
6 · The paper itself

Abstract

backgroundDivergent estimates of HIV incidence among people who inject drugs (PWID) in Ukraine have been reported in modeling studies, longitudinal cohort studies, and recent infection assays used in cross-sectional surveys. Estimates range from 0.65 to 24.8 infections per 100 person-years with substantial regional variation. In this paper, we study the sources of this discrepancy.

methodsWe compared baseline characteristics of study subjects recruited in the cross-sectional integrated bio-behavioral surveillance surveys (IBBS) in 2011 and 2013, with those from the longitudinal network intervention trial (network RCT) conducted between 2010 - 2013, the study that found a remarkably high incidence of HIV among PWID in Ukraine. The analysis was conducted for two cities: Mykolaiv and Odesa.

resultsSignificant differences were found in the characteristics of study subjects recruited in the IBBS surveys and the network RCT, in particular in Odesa, where the mismatch in the estimates of HIV incidence is greatest. In Odesa, recent syringe sharing was about three times as prevalent in the network RCT as in the IBBS; 39% of the network RCT and 16-18% of the IBBS participants indicated stimulants rather than opiates as their drug of choice; 97% of respondents in the network RCT and 45% in the IBBS-2013 reported injecting in a group over half of the time; and the average monthly number of injections in the network RCT was about twice that in the IBBS studies.

conclusionsDifferences in study designs and sampling methodologies may be responsible for the substantial differences in HIV incidence estimates among PWID in Ukraine. The potential sources of selection bias differed between the studies and likely resulted in the recruitment of lower risk individuals into the IBBS studies compared to the network RCT. Risk stratification in the population of PWID may have implications for future surveillance and intervention efforts.

Indexed as

Research DesignAdultCross-Sectional StudiesFemaleHIV InfectionsHumansIncidenceMaleNeedle SharingRandomized Controlled Trials as TopicSelection BiasSubstance Abuse, IntravenousSurveys and QuestionnairesUkraineYoung AdultHIV incidenceHIV surveillancePeople who inject drugs (PWID)Respondent-driven sampling (RDS)Sampling methods in hidden populationsUkraine

Identifiers

PMID31405731
PMCPMC6899203

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.