Evidence map›Paper›PMID 27344194›Full record

ArticleDrug and alcohol dependence2016

Accuracy of the Audio Computer Assisted Self Interview version of the Alcohol, Smoking and Substance Involvement Screening Test (ACASI ASSIST) for identifying unhealthy substance use and substance use disorders in primary care patients.

Pritika C Kumar, Charles M Cleland, Marc N Gourevitch, John Rotrosen, Shiela Strauss, Linnea Russell, Jennifer McNeely

Registry-linked trialOpen access · greenAbstract readValidation Study
In one paragraph

Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04594304 (Screening While You Wait 2), which is not on this map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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.

NCT04594304 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Screening While You Wait 2: Alcohol and Tobacco Use

TypeinterventionalSponsorWomen's College HospitalRan2020 to 2021Enrolled360ConditionsAlcohol, Harmful Use, Tobacco Use, Tobacco Use CessationArmsBehavioral: Usual care plus eToolkit
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  14. Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022
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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

7 authors at 1 institution in 1 country.

Pritika C KumarNew York University, School of Medicine, Department of Population Health, New York, NY, United States. Electronic address: pritika.kumar@nyumc.org.
Charles M ClelandNew York University, Rory Meyers College of Nursing, New York, NY, United States. Electronic address: chuck.cleland@nyu.edu.
Marc N GourevitchNew York University, School of Medicine, Department of Population Health, New York, NY, United States. Electronic address: marc.gourevitch@nyumc.org.
John RotrosenNew York University, School of Medicine, Department of Population Health, New York, NY, United States. Electronic address: john.rotrosen@nyumc.org.
Shiela StraussNew York University, Rory Meyers College of Nursing, New York, NY, United States. Electronic address: shiela.strauss@nyu.edu.
Linnea RussellNew York University, School of Medicine, Department of Population Health, New York, NY, United States. Electronic address: linneacr@gmail.com.
Jennifer McNeelyNew York University, School of Medicine, Department of Population Health, New York, NY, United States. Electronic address: Jennifer.McNeely@nyumc.org.
New York University · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI LINDA M COLLINS · 1998 to 2026
$38.9M
Institutional Clinical and Translational Science AwardUL1TR000038 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL · 2012 to 2014
$16.8M
Screening for Substance Use with Computer Assisted Self Interview in Primary CareK23DA030395 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCNEELY, JENNIFER · 2010 to 2014
$905k
NCATS NIH HHS UL1 TR000038NCATS NIH HHS UL1 TR001445NIDA NIH HHS K23 DA030395NIDA NIH HHS L30 DA027429NIDA NIH HHS P30 DA011041
6 · The paper itself

Abstract

backgroundAn Audio Computer-assisted Self Interview (ACASI) version of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) could reduce barriers to substance use screening and assessment in primary care settings. This study evaluated the diagnostic accuracy of an ACASI ASSIST for identification of unhealthy substance use and substance use disorders (SUD).

methods399 adult patients were consecutively recruited from an urban safety-net primary care clinic. ACASI ASSIST scores for tobacco, alcohol, marijuana, and cocaine were compared against reference standard measures to assess the instrument's diagnostic accuracy for identifying unhealthy use and SUD, first using empirically-derived optimal cutoffs, and second using the currently recommended ASSIST cutoffs.

resultsFor identifying any unhealthy use, at the empirically-derived cutoffs the ACASI ASSIST had 93.6% sensitivity and 85.8% specificity (AUC=0.90) for tobacco, 85.9% sensitivity and 60.3% specificity (AUC=0.73), for alcohol in men, 100% sensitivity and 62.4% specificity (AUC=0.81) for alcohol in women, 94.6% sensitivity and 81.6% specificity (AUC=0.88) for marijuana, and 86.1% sensitivity, 84.0% specificity (AUC=0.85) for cocaine. For SUD, sensitivity ranged from 79% (for alcohol in males), to 100% (for tobacco), and specificity was 83% or higher (AUCs ranged 0.83-0.91). For substances other than tobacco, empirically-derived cutoff scores were lower than the standard cutoffs, and resulted in higher sensitivity and lower specificity for identifying unhealthy substance use.

conclusionsThe ACASI ASSIST is a valid measure of unhealthy use and SUD for substances that are commonly used by primary care patients, and could facilitate effective and efficient screening for substance use in medical settings.

Indexed as

AdolescentAdultAgedData AccuracyDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedPrimary Health CareSelf ReportSensitivity and SpecificitySubstance-Related DisordersSurveys and QuestionnairesYoung AdultACASIAlcoholASSISTCannabis/marijuanaCocaineDrugsScreeningSubstance useSubstance use disorder (SUD) validationTobaccoUnhealthy use

Identifiers

PMID27344194
PMCPMC4962996
OpenAlexW2463020983

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.