Evidence map›Paper›PMID 31337321›Full record

ArticlePsychiatric services (Washington, D.C.)2019

Improving the Evaluation of Adult Mental Disorders in the Criminal Justice System With Computerized Adaptive Testing.

Robert D Gibbons, Justin D Smith, C Hendricks Brown, Mary Sajdak, Nneka Jones Tapia, Andrew Kulik, Matthew W Epperson, John Csernansky

Abstract readValidation Study
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  9. Three Flavorings for a Soup to Cure what Ails Mental Health Services.Administration and policy in mental health · 2020
    Article
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

8 authors.

Robert D GibbonsCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
Justin D SmithCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
C Hendricks BrownCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
Mary SajdakCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
Nneka Jones TapiaCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
Andrew KulikCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
Matthew W EppersonCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).
John CsernanskyCenter for Health Statistics, University of Chicago, Chicago (Gibbons); Department of Psychiatry, Northwestern University, Evanston, Illinois (Smith, Brown, Csernansky); Cook County Health and Hospital System, Chicago (Sajdak, Kulik); Chicago Beyond, Chicago (Tapia); Social Service Administration, University of Chicago, Chicago (Epperson).

Funding

INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
Harnessing Computerized Adaptive Testing, Transdiagnostic Theories of Suicidal Behavior, and Machine Learning to Advance the Emergent Assessment of Suicidal Youth (EASY).R01MH100155 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRENT, DAVID A., GIBBONS, ROBERT D · 2013 to 2022
$8.0M
Advancing Intervention Science for Probationers with Serious Mental IllnessesK01MH103446 · NIMH · UNIVERSITY OF CHICAGO · PI EPPERSON, MATTHEW W · 2014 to 2017
$708k
NIDA NIH HHS P30 DA027828NIMH NIH HHS K01 MH103446NIMH NIH HHS R01 MH100155
6 · The paper itself

Abstract

objectiveThe authors sought to develop and validate a suite of dimensional measures of psychiatric syndromes for use in a criminal justice population.

methodsThe previously validated Computerized Adaptive Test-Mental Health (CAT-MH) was administered to a sample of 475 defendants in the Cook County Bond Court. Item-level data were used to determine which test items exhibited differential item functioning in this population compared with the population used for the original calibration.

resultsAfter removal of nine items that exhibited differential item functioning from the CAT-MH, correlations between scores based on the original calibration from a nonjustice-involved population and the newly computed scores based on a sample of bond court defendants showed a correlation coefficient of r=0.96 to r=0.99.

conclusionsWith a slight modification of the original CAT-MH, the tool was successfully used to measure severity of depression, anxiety, mania and/or hypomania, suicidality, and substance use disorder in an English- and Spanish-speaking criminal justice population.

Indexed as

AdultAnxiety DisordersBipolar DisorderDepressive DisorderDiagnosis, Computer-AssistedFemaleHumansIllinoisMalePrisonersPsychiatric Status Rating ScalesSeverity of Illness IndexSubstance-Related DisordersJails &ampprisons/mental health services, Assessment/psychiatric

Identifiers

PMID31337321
PMCPMC6874828

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.