Evidence map›Paper›PMID 39913274›Full record

ArticleBrain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment2025

Convergent, discriminant, and known-groups validity of the Behavioural Assessment Screening Tool (BAST) in chronic traumatic brain injury.

Shannon Juengst, Brittany Wright, Leia Vos, Gabriel Rodriguez, Michael Conley, Lauren Terhorst

Abstract readValidation Study
In one paragraph

Article in Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Shannon JuengstTIRR Memorial Hermann, Brain Injury Research Center, 1333 Moursund Street, Houston, TX 77030, USA; and Department of Physical Medicine & Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA.
Brittany WrightDepartment of Physical Medicine & Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA.
Leia VosDepartment of Neurosciences, CoreWell Health Medical Group, Grand Rapids, MI, USA; and Division of Clinical Neurosciences, College of Human Medicine at Michigan State University, Grand Rapids, MI, USA.
Gabriel RodriguezDepartment of Psychology and Neuropsychology, TIRR Memorial Hermann, Houston, TX, USA.
Michael ConleyDepartment of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.
Lauren TerhorstDepartment of Occupational Therapy, SHRS Data Center, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

The Behavioral Assessment Screening Tool (BAST): Psychometric Validation and Mobile Health Tool DevelopmentR03HD094445 · NICHD · UT SOUTHWESTERN MEDICAL CENTER · PI JUENGST, SHANNON B · 2018 to 2019
$338k
NICHD NIH HHS R03 HD094445
6 · The paper itself

Abstract

Background The Behavioural Assessment Screening Tool (BAST), which measures self-reported neurobehavioural symptoms experienced by adults with traumatic brain injury (TBI), was specifically developed as a self-reported measure for remote symptom reporting. Our aim was to assess the convergent, discriminant, and known-groups validity of the BAST among community-dwelling adults with TBI. Methods We assessed correlations and group differences with previously validated measures in two existing datasets (n =111, n =134). Other measures were the Patient Health Questionnaire-9 (depression), Generalized Anxiety Disorder-7 (anxiety), Positive and Negative Affect Schedule, Frontal Systems Behavior Scale (Executive Dysfunction, Apathy, Disinhibition), Modified Fatigue Impact Scale, Patient-Reported Outcomes Measurement Information System (Fatigue), Aggression Questionnaire (anger, hostility, physical and verbal aggression), and Alcohol Use Disorders Identification Test (alcohol misuse). Results BAST subscales had stronger correlations with measures of similar (|r |=0.602-0.828, P r |=0.364-0.589, P r |d =1.2-1.9) for known groups with moderate-severe depression, moderate-severe anxiety, fatigue, problematic disinhibited and frontal executive behaviours, and alcohol misuse. Results support the construct validity of the BAST subscales. Conclusion(s) The BAST demonstrated good convergent, discriminant, and known-groups validity, supporting its use for remote self-reported symptom reporting to improve chronic symptom monitoring in community-dwelling adults with TBI.

Indexed as

Brain Injuries, TraumaticAdultAgedAggressionFemaleHumansMaleMiddle AgedNeuropsychological TestsPsychiatric Status Rating ScalesReproducibility of ResultsSelf ReportYoung Adult

Identifiers

PMID39913274
PMCPMC12067585

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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.