Evidence map›Paper›PMID 31264098›Full record

ReviewCurrent psychiatry reports2019

Without Wasting a Word: Extreme Improvements in Efficiency and Accuracy Using Computerized Adaptive Testing for Mental Health Disorders (CAT-MH).

Robert D Gibbons, Frank V deGruy

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05184907 (Effects of Remote Motivational Enhancement on Engagement in Buprenorphine Treatment), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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.

NCT05184907 nacompletednot on this mapstarted 2022, after this paper: background citation

Effects of Remote Motivational Enhancement on Engagement in Buprenorphine Treatment

TypeinterventionalSponsorCambridge Health AllianceRan2022 to 2023Enrolled25ConditionsOpioid Use Disorder, Behavioral Symptoms, Psychiatric or Mood Diseases or ConditionsArmsRemote Motivational Enhancement (RME) Intervention Arm, Information Only
3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Content Validity of the K-CATJournal of autism and developmental disorders · 2026
    Article
  7. 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
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Robert D GibbonsBlum-Riese Professor of Biostatistics, University of Chicago, Chicago, IL, USA. rdg@uchicago.edu.
Frank V deGruyDepartment of Family Medicine, University of Colorado, Aurora, CO, USA.

Funding

Emergency Department Screen for Teens at Risk for Suicide (ED-STARS)U01MH104311 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENT, DAVID A., GRUPP-PHELAN, JACQUELINE M. · 2014 to 2016
$10.6M
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
Computerized Adaptive Suicidal Risk Stratification and PredictionR44MH118780 · NIMH · ADAPTIVE TESTING TECHNOLOGIES · PI BOUDREAUX, EDWIN D, COHEN, YEHUDA · 2019 to 2022
$1.9M
NIMH NIH HHS R01 MH100155NIMH NIH HHS R44 MH118780NIMH NIH HHS U01 MH104311
6 · The paper itself

Abstract

purpose of reviewWe review recent literature on the adaptive assessment of complex mental health disorders and provide a detailed comparison of classical test theory and adaptive testing based on multidimensional item response theory. RECENT

findingsAdaptive tests for a wide variety of mental health traits (e.g., depression, anxiety, mania, substance misuse, suicidality) are now available in a cloud-based environment. These tests have been validated in a variety of settings against lengthy structured clinical interviews with excellent results and even higher reliability than fixed-length tests. Applications include screening and assessments in emergency departments, psychiatric and primary care clinics, student health clinics, perinatal medicine clinics, child welfare settings, and the judicial system. The future of mental health measurement will be based on automated screening and assessments. Adaptive tests will provide increased precision of measurement and decreased burden of measurement. Integration into the electronic health record is important and now easily accomplished.

Indexed as

Mental HealthAnxietyBipolar DisorderDepressionHumansMental DisordersReproducibility of ResultsSubstance-Related DisordersBifactor modelComputerized adaptive testingDepressionMental health measurementMultidimensional item response theorySuicidality

Identifiers

What OpenQuestion holds

Textmetadata
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.