Evidence map›Paper›PMID 34116811›Full record

ArticleJournal of substance abuse treatment2021

Screening for more with less: Validation of the Global Appraisal of Individual Needs Quick v3 (GAIN-Q3) screeners.

Michael L Dennis, Jordan P Davis

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

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

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

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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

2 authors.

Michael L DennisChestnut Health Systems, GAIN Coordinating Center, Normal, IL, United States of America. Electronic address: mdennis@chestnut.org.
Jordan P DavisSuzanne Dworak-Peck School of Social Work, USC Center for Artificial Intelligence in Society, USC Center for Mindfulness Science, USC Institute for Addiction Science, University of Southern California, United States of America.

Funding

Early Re-Intervention Experiment2(ERI-2)R37DA011323 · NIDA · CHESTNUT HEALTH SYSTEMS, INC. · PI DENNIS, MICHAEL L. · 2003 to 2012
$8.4M
TRIALS Coordinating Center to Reduce Substance Use, HIV Risk Behaviors, & CrimeU01DA036221 · NIDA · CHESTNUT HEALTH SYSTEMS, INC. · PI DENNIS, MICHAEL L., SCOTT, CHRISTY K · 2013 to 2019
$5.6M
Smartphone Addiction Recovery Coach for Young Adults (SARC-YA) ExperimentR01DA011323 · NIDA · CHESTNUT HEALTH SYSTEMS, INC. · PI MICHAEL L. DENNIS, ASHLI J SHEIDOW · 1999 to 2026
$5.5M
NIDA NIH HHS R01 DA011323NIDA NIH HHS R37 DA011323NIDA NIH HHS U01 DA036221
6 · The paper itself

Abstract

Multi-morbidity is the norm among adolescents and adults with substance use and other mental disorders and warrants a multi-pronged screening approach. However, the time constraints on assessment inherent in clinical practice often temper the desire for a full understanding of multi-morbidity problems. The 15- to 25-minute Global Appraisal of Individual Needs Quick version 3 (GAIN-Q3) includes screeners for 9 common clinical problems that are short (4 to 10 items) and provide dimensional measures of problem severity in each area that are also categorized to guide clinical decision making. The screeners are summed into a total score that represents a 10th screener for multi-morbidity. This paper provides background on the development of the GAIN-Q3 screeners, their psychometric behaviors, efficiency, and predictive power relative to the 1-2 h full GAIN-I. Based on literature showing differential item and scale functioning by age, analyses were conducted separately using data from 10,625 adolescent and 10,167 adult treatment clients. Despite the condensed lengths of the screening measures compared with their longer versions, the reliability estimates are within the good to excellent range (0.7 to 0.9) in terms of internal consistency for 6 of the 10 screeners for adolescents and 7 of the 10 screeners for adults. In addition, the part to whole correlation for all 10 comparisons for both adolescents and adults are excellent (0.82 to 0.96). Moreover, there is strong evidence for the measures' convergent and discriminant validity and efficiency (i.e., maximum information gathered in as few items possible) relative to the full-length scales as well as relative to other scales in the full GAIN-I. Analyses of the interpretive cut-scores provide accurate identification of cases with high sensitivity and specificity, thus supporting the screeners' capacity to triage. PUBLIC SIGNIFICANCE STATEMENT: This study reports on the ability (GAIN-Q3) to efficiently screen for multiple co-occurring substance use, mental health, and associated problems. Multi-problem presentation in the social service sector is the normal expectation, yet time constraints prevent broad assessment of potentially many problematic areas. The GAIN-Q3 showed convergent and discriminant validity relative to the full-length scales as well as other scales assessed in the GAIN-I. The GAIN-Q3 achieves the desired balance between broad coverage and measurement efficiency to provide ample information to identify the best course of action for an individual.

Indexed as

Mass ScreeningSubstance-Related DisordersAdolescentAdultHumansMental HealthPsychometricsReproducibility of ResultsAssessmentBehavioral healthCo-occurringMental healthScreeningSubstance use

Identifiers

PMID34116811
PMCPMC8197776

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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.