Evidence map›Paper›PMID 32731112›Full record

ArticleThe International journal on drug policy2020

Impact of routine opt-out HIV/HCV screening on testing uptake at a syringe services program: An interrupted time series analysis.

Tyler S Bartholomew, Hansel E Tookes, David P Serota, Czarina N Behrends, David W Forrest, Daniel J Feaster

Open access · hybridAbstract read
In one paragraph

Article in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Tyler S BartholomewDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA. Electronic address: tsb61@miami.edu.
Hansel E TookesDivision of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
David P SerotaDivision of Infectious Diseases, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Czarina N BehrendsDepartment of Population Health Sciences, Weill Cornell Medical College, New York, NY, USA.
David W ForrestDepartment of Anthropology, College of Arts and Sciences, University of Miami, Miami, FL, USA.
Daniel J FeasterDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.
University of Miami · USCornell University · US

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel Bilbao · 2019 to 2026
$24.1M
The University of Miami AIDS Research Center on Mental Health and HIV/AIDS - Center for HIV & Research in Mental Health (CHARM)Research Core & MHD-CEP30MH133399 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI Victoria Behar-Zusman · 2023 to 2026
$8.9M
A Multi-site Multi-Setting RCT of Integrated HIV Prevention and HCV Care for PWIDR01DA045713 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRUNEAU, JULIE, FEASTER, DANIEL J · 2017 to 2022
$8.2M
University of Miami Developmental HIV/AIDS Mental Health Research Center (D-ARC)P30MH116867 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI SAFREN, STEVEN A · 2019 to 2023
$6.5M
NCI NIH HHS P30 CA240139NIDA NIH HHS R01 DA045713NIMH NIH HHS P30 MH116867NIMH NIH HHS P30 MH133399
6 · The paper itself

Abstract

backgroundHepatitis C (HCV) is the most common infectious disease among people who inject drugs (PWID). Engaging PWID in harm reduction services, such as syringe service programs (SSPs), is critical to reduce HCV and HIV transmission. Additionally, testing for HIV and HCV among PWID is important to improve diagnosis and linkage to care. On March 1, 2018, Florida's only legal SSP implemented bundled opt-out HIV/HCV testing at enrollment. We aimed to examine the differences in HIV/HCV testing uptake before and after the implementation of the opt-out testing policy.

methodsMultivariable logistic regression was used to assess predictors of accepting HIV/HCV tests, controlling for opt-in and opt-out policy. Monthly estimates of the percent of participants accepting an HIV test, HCV test, or both were generated. Interrupted Time Series (ITS) analysis evaluated the immediate policy impact on level of uptake and trend in uptake over time for bundled HIV/HCV testing before and after the opt-out testing policy.

resultsThe total study period was 37 months between December 2016-January 2020 with 512 SSP participants 15 months prior and 547 SSP participants 22 months after implementation of bundled HIV/HCV opt-out testing. Significant predictors of accepting both HIV/HCV tests were cocaine injection (aOR = 2.36), self-reported HIV positive status (aOR = 0.39) and self-reported HCV positive status (aOR = 0.27). Based on the ITS results, there was a significant increase in uptake of HIV/HCV testing by 42.4% (95% CI: 26.2%-58.5%, p < 0.001) immediately after the policy change to opt-out testing.

conclusionBundled opt-out HIV/HCV testing substantially increased the percentage of SSP clients who received HIV and HCV rapid tests at enrollment into the program, and the effect remained stable across the 22 months post opt-out testing policy. Future investigation must assess PWID-level perspective of testing preferences and examine whether this testing approach improves HIV/HCV detection among PWID previously unaware of their status.

Indexed as

Hepatitis CHIV InfectionsSubstance Abuse, IntravenousHumansInterrupted Time Series AnalysisSyringesHIV/HCV TestingOpt-out TestingSyringe Services Programs

Identifiers

PMID32731112
PMCPMC8814936
OpenAlexW3045647332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.