Evidence map›Paper›PMID 22971593›Full record

Trial reportDrug and alcohol dependence2013

The cost-effectiveness of rapid HIV testing in substance abuse treatment: results of a randomized trial.

Bruce R Schackman, Lisa R Metsch, Grant N Colfax, Jared A Leff, Angela Wong, Callie A Scott, Daniel J Feaster, Lauren Gooden, Tim Matheson, Louise F Haynes and 2 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00809445 (HIV Rapid Testing and Counseling in Drug Abuse Treatment Programs in the U.S.), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT00809445 phase3completednot on this map

HIV Rapid Testing and Counseling in Drug Abuse Treatment Programs in the U.S.

TypeinterventionalSponsorUniversity of MiamiRan2009 to 2010Enrolled1,281ConditionsSubstance-Related DisordersArmsOn-site HIV rapid test and brief, prevention counseling, On- site HIV rapid test & information, Referral for off-site HIV testing
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Comorbidities of substance use: Opportunities realized and future needs.Journal of substance use and addiction treatment · 2026
    Article
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  12. Article
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  15. Lessons Learned From the Development and Parameterization of a Computer Simulation Model to Evaluate Task Modification for Health Care Providers.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2018
    Article
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  19. Observational
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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

12 authors.

Bruce R SchackmanDepartment of Public Health, Weill Cornell Medical College, 402 East 67th Street, New York, NY 10065, USA. brs2006@med.cornell.edu
Lisa R Metsch
Grant N Colfax
Jared A Leff
Angela Wong
Callie A Scott
Daniel J Feaster
Lauren Gooden
Tim Matheson
Louise F Haynes
A David Paltiel
Rochelle P Walensky

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
FLORIDA NODE OF THE DRUG ABUSE CLINICAL TRIALS NETWORKU10DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI METSCH, LISA R, SZAPOCZNIK, JOSE · 2000 to 2015
$56.9M
The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
Clinical Trials Network, Ohio Valley Node U10DA013732U10DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI WINHUSEN, T JOHN · 2000 to 2015
$45.0M
Southern Consortium Node of the Clinical Trials NetworkU10DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2000 to 2015
$34.4M
Western States Node of the National Drug Abuse Treatment Clinical Trials NetworkU10DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCCARTY, DENNIS, SORENSEN, JAMES L · 2002 to 2015
$25.2M
CLINICAL TRIALS NETWORK MID-ATLANTIC COLLABORATIVE GROUPU10DA013034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SCHWARTZ, ROBERT P, STITZER, MAXINE L · 1999 to 2015
$25.2M
Western States Node of the National Drug Abuse Treatment Clinical Trials Network (TMS for CUD) UG1DA015815 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Keith N. Humphreys, Philip Todd Korthuis · 2015 to 2026
$24.6M
Clinical Trials Network: Southwest NodeU10DA015833 · NIDA · UNIVERSITY OF NEW MEXICO · PI MCCRADY, BARBARA S · 2002 to 2014
$19.9M
OREGON NODE - NATIONAL CLINICAL TRIALS NETWORKU10DA013036 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI MCCARTY, DENNIS · 1999 to 2010
$18.5M
CLINICAL TRIALS NETWORK: NEW ENGLAND NODEU10DA013038 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1999 to 2010
$17.3M
CLINICAL TRIAL RESEARCH PROJECT COREU10DA020036 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DALEY, DENNIS C · 2005 to 2015
$14.1M
NIAID NIH HHS P30 AI060354NIAID NIH HHS R37 AI042006NIDA NIH HHS HHSN271200522071CNIDA NIH HHS HHSN271201000024CNIDA NIH HHS K23 DA019809NIDA NIH HHS R01 DA015612NIDA NIH HHS R01 DA027379NIDA NIH HHS U10 DA013034NIDA NIH HHS U10 DA013036NIDA NIH HHS U10 DA013038NIDA NIH HHS U10DA013038NIDA NIH HHS U10 DA013720NIDA NIH HHS U10 DA013727NIDA NIH HHS U10 DA013732NIDA NIH HHS U10 DA015815NIDA NIH HHS U10 DA015833NIDA NIH HHS U10DA015833NIDA NIH HHS U10 DA020036NIDA NIH HHS U10DA13034NIDA NIH HHS U10 DA13036NIDA NIH HHS U10DA13720-09SNIDA NIH HHS U10 DA13727NIDA NIH HHS U10DA15815NIDA NIH HHS UG1 DA015815NIMH NIH HHS P30 MH043520NIMH NIH HHS R01 MH065869PHS HHS HHSN271200522081CPHS HHS R37A1042006
6 · The paper itself

Abstract

backgroundThe President's National HIV/AIDS Strategy calls for coupling HIV screening and prevention services with substance abuse treatment programs. Fewer than half of US community-based substance abuse treatment programs make HIV testing available on-site or through referral.

methodsWe measured the cost-effectiveness of three HIV testing strategies evaluated in a randomized trial conducted in 12 community-based substance abuse treatment programs in 2009: off-site testing referral, on-site rapid testing with information only, on-site rapid testing with risk-reduction counseling. Data from the trial included patient demographics, prior testing history, test acceptance and receipt of results, undiagnosed HIV prevalence (0.4%) and program costs. The Cost-Effectiveness of Preventing AIDS Complications (CEPAC) computer simulation model was used to project life expectancy, lifetime costs, and quality-adjusted life years (QALYs) for HIV-infected individuals. Incremental cost-effectiveness ratios (2009 US $/QALY) were calculated after adding costs of testing HIV-uninfected individuals; costs and QALYs were discounted at 3% annually.

resultsReferral for off-site testing is less efficient (dominated) compared to offering on-site testing with information only. The cost-effectiveness ratio for on-site testing with information is $60,300/QALY in the base case, or $76,300/QALY with 0.1% undiagnosed HIV prevalence. HIV risk-reduction counseling costs $36 per person more without additional benefit.

conclusionsA strategy of on-site rapid HIV testing offer with information only in substance abuse treatment programs increases life expectancy at a cost-effectiveness ratio <$100,000/QALY. Policymakers and substance abuse treatment leaders should seek funding to implement on-site rapid HIV testing in substance abuse treatment programs for those not recently tested.

Indexed as

AdultCost-Benefit AnalysisFemaleHealth Care CostsHIV InfectionsHumansMaleMass ScreeningMiddle AgedPrevalenceQuality-Adjusted Life YearsSubstance-Related Disorders

Identifiers

PMID22971593
PMCPMC3546145

What OpenQuestion holds

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Registered trials

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.