Evidence map›Paper›PMID 26879859›Full record

ArticleJournal of substance abuse treatment2016

An Exploratory Factor Analysis of a Brief Self-Report Scale to Detect Neurocognitive Impairment Among Participants Enrolled in Methadone Maintenance Therapy.

Michael Copenhaver, Roman Shrestha, Jeffrey A Wickersham, Damian Weikum, Frederick L Altice

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

16 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

5 authors at 3 institutions in 2 countries.

Michael CopenhaverDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, USA; Center for Health, Intervention, and Prevention, University of Connecticut, Storrs, CT, USA.
Roman ShresthaCenter for Health, Intervention, and Prevention, University of Connecticut, Storrs, CT, USA; Department of Community Medicine & Health Care, University of Connecticut Health Center, Farmington, CT, USA. Electronic address: Roman.Shrestha@UConn.edu.
Jeffrey A WickershamDepartment of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA; Centre of Excellence on Research in AIDS (CERiA), University of Malaya, Kuala Lumpur, Malaysia.
Damian WeikumDepartment of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA; Division of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Frederick L AlticeCenter for Health, Intervention, and Prevention, University of Connecticut, Storrs, CT, USA; Department of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA; Centre of Excellence on Research in AIDS (CERiA), University of Malaya, Kuala Lumpur, Malaysia; Division of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
University of Connecticut · USAIDS United · USYale University · US

Funding

Testing a Community-Friendly Risk Reduction Intervention for Injection Drug UsersR01DA022122 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI COPENHAVER, MICHAEL · 2006 to 2010
$2.3M
Enhancing Health Outcomes Among HIV+ Substance AbusersK24DA017072 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2003 to 2012
$1.5M
Training in Drug Abuse & HIV Prevention for Female & Transgender Sex WorkersK01DA038529 · NIDA · YALE UNIVERSITY · PI WICKERSHAM, JEFFREY ALLEN · 2014 to 2018
$838k
HIV Prevention and Adherence Among Priority Drug Using PopulationsK02DA033139 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI COPENHAVER, MICHAEL · 2013 to 2017
$697k
Optimizing HIV Risk Reduction for HIV Positive IDUsK23DA017015 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI COPENHAVER, MICHAEL · 2003 to 2006
$619k
NIDA NIH HHS K01 DA038529NIDA NIH HHS K02 DA033139NIDA NIH HHS K23 DA017015NIDA NIH HHS K24 DA017072NIDA NIH HHS R01 DA022122
6 · The paper itself

Abstract

The present study examines the factor structure of the existing Neuropsychological Impairment Scale (NIS) through the use of exploratory factor analysis (EFA). The NIS is a brief, self-report measure originally designed to assess neurocognitive impairment (NCI) by having patients rate a range of items that may influence cognitive functioning. Stabilized patients on methadone maintenance therapy (MMT; N=339) in New Haven, CT who reported drug- or sex-related HIV risk behaviors in the past 6 months were administered the full 95-item NIS. An EFA was then conducted using principal axis factoring and orthogonal varimax rotation. The EFA resulted in retaining 57 items, with a 9-factor solution that explained 54.8% of the overall variance. The revised 9-factor measure--now referred to as the Brief Inventory of Neuro-cognitive Impairment (BINI)--showed a diverse set of factors with excellent to good reliability (i.e., F1 α=0.97 to F9 α=0.73). This EFA suggests the potential utility of using the BINI in the context of addiction treatment. Further research should examine the utility of this tool within other clinical care settings.

Indexed as

Opiate Substitution TreatmentSelf ReportAdultCognitive DysfunctionFactor Analysis, StatisticalFemaleHumansMaleMethadoneNeuropsychological TestsOpioid-Related DisordersReproducibility of ResultsSurveys and QuestionnairesMethadoneAddictionExploratory factor analysisHIVMethadone maintenance therapyNeurocognitive impairmentNeuropsychological Impairment Scale

Identifiers

PMID26879859
PMCPMC4775373
OpenAlexW2268897021

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.