Evidence map›Paper›PMID 30670391›Full record

ArticleAnnals of family medicine2019

Validation of the Computerized Adaptive Test for Mental Health in Primary Care.

Andrea K Graham, Alexa Minc, Erin Staab, David G Beiser, Robert D Gibbons, Neda Laiteerapong

Open access · diamondAbstract read
In one paragraph

Article in Annals of family medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  4. Trial
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  6. Negative social ties as emerging risk factors for accelerated aging, inflammation, and multimorbidity.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Reducing patient burden of PROMs in healthcare through advanced computerized adaptive testing stopping rules.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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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

6 authors at 2 institutions in 1 country.

Andrea K GrahamDepartment of Medical Social Sciences, Northwestern University, Chicago, Illinois.
Alexa MincDepartment of Medicine, Section of General Internal Medicine, The University of Chicago, Chicago, Illinois.
Erin StaabDepartment of Medicine, Section of General Internal Medicine, The University of Chicago, Chicago, Illinois.
David G BeiserDepartment of Medicine, Section of Emergency Medicine, The University of Chicago, Chicago, Illinois.
Robert D GibbonsDepartments of Medicine, Public Health Sciences, Psychiatry, and Comparative Human Development, The University of Chicago, Chicago, Illinois.
Neda LaiteerapongDepartment of Medicine, Section of General Internal Medicine, The University of Chicago, Chicago, Illinois nlaiteer@medicine.bsd.uchicago.edu.
University of Chicago · USNorthwestern University · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Neda Laiteerapong · 2011 to 2026
$10.0M
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
NRSA INSTITUTIONAL TRAINING GRANTT32HS000078 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOLL, JANE LOUISE · 1998 to 2018
$5.6M
Mental Health Computerized Adaptive TestingR01MH066302 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GIBBONS, ROBERT D · 2002 to 2010
$5.0M
Linking the Legacy Effect in Type 2 Diabetes to Clinical Decision MakingK23DK097283 · NIDDK · UNIVERSITY OF CHICAGO · PI LAITEERAPONG, NEDA · 2012 to 2016
$880k
Analysis of Behavioral Interventions for Pediatric ObesityF32HD089586 · NICHD · UNIVERSITY OF CHICAGO · PI GRAHAM, ANDREA KASS · 2016 to 2017
$106k
AHRQ HHS T32 HS000078NICHD NIH HHS F32 HD089586NIDDK NIH HHS K23 DK097283NIDDK NIH HHS P30 DK092949NIMH NIH HHS R01 MH066302NIMH NIH HHS R01 MH100155
6 · The paper itself

Abstract

purposeThe US Preventive Services Task Force recommends screening for depression in the general adult population. Although screening questionnaires for depression and anxiety exist in primary care settings, electronic health tools such as computerized adaptive tests based on item response theory can advance screening practices. This study evaluated the validity of the Computerized Adaptive Test for Mental Health (CAT-MH) for screening for major depressive disorder (MDD) and assessing MDD and anxiety severity among adult primary care patients.

methodsWe approached 402 English-speaking adults for participation from a primary care clinic, of whom 271 adults (71% female, 65% black) participated. Participants completed modules from the CAT-MH (Computerized Adaptive Diagnostic Test for MDD, CAT-Depression Inventory, CAT-Anxiety Inventory); brief paper questionnaires (9-item Patient Health Questionnaire [PHQ-9], 2-item Patient Health Questionnaire [PHQ-2], Generalized Anxiety Disorder 7-item Scale [GAD-7]); and a reference-standard interview, the Structured Clinical Interview for

resultsOn the basis of the interview, 31 participants met criteria for MDD and 29 met criteria for GAD. The diagnostic accuracy of the Computerized Adaptive Diagnostic Test for MDD (area under curve [AUC] = 0.85) was similar to that of the PHQ-9 (AUC = 0.84) and higher than that of the PHQ-2 (AUC = 0.76) for MDD screening. Using the interview as the reference standard, the accuracy of the CAT-Anxiety Inventory (AUC = 0.93) was similar to that of the GAD-7 (AUC = 0.97) for assessing anxiety severity. The patient-preferred screening method was assessment via tablet/computer with audio.

conclusionsComputerized adaptive testing could be a valid and efficient patient-centered screening strategy for depression and anxiety screening in primary care settings.

Indexed as

Diagnosis, Computer-AssistedFemaleHumansMajor Depressive DisorderMaleMass ScreeningMiddle AgedPrimary Health CarePsychiatric Status Rating ScalesReproducibility of ResultsSurveys and Questionnairesanxietydepressionelectronic health recordshealth informaticsmental healthpractice-based researchprimary carescreeningsurveys and questionnairessymptom assessmentvulnerable populations

Identifiers

PMID30670391
PMCPMC6342585
OpenAlexW2914173968

What OpenQuestion holds

Textmetadata
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.