TY - JOUR
KW - Bifactor model
KW - Computerized adaptive testing
KW - Depression
KW - Mental health measurement
KW - Multidimensional item response theory
KW - Suicidality
AU - Robert D. Gibbons
AU - Frank V. deGruy
A1 - 
AB - PURPOSE OF REVIEW: We 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 FINDINGS: Adaptive 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.
AD - Blum-Riese Professor of Biostatistics, University of Chicago, Chicago, IL, USA. rdg@uchicago.edu.; Department of Family Medicine, University of Colorado, Aurora, CO, USA.
BT - Current psychiatry reports
C5 - Healthcare Disparities; Measures
CP - 8
CY - United States
DO - 10.1007/s11920-019-1053-9
IS - 8
JF - Current psychiatry reports
LA - eng
M1 - Journal Article
N2 - PURPOSE OF REVIEW: We 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 FINDINGS: Adaptive 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.
PP - United States
PY - 2019
SN - 1535-1645; 1523-3812
SP - 67
T1 - Without Wasting a Word: Extreme Improvements in Efficiency and Accuracy Using Computerized Adaptive Testing for Mental Health Disorders (CAT-MH)
T2 - Current psychiatry reports
TI - Without Wasting a Word: Extreme Improvements in Efficiency and Accuracy Using Computerized Adaptive Testing for Mental Health Disorders (CAT-MH)
U1 - Healthcare Disparities; Measures
U2 - 31264098
U3 - 10.1007/s11920-019-1053-9
VL - 21
VO - 1535-1645; 1523-3812
Y1 - 2019
Y2 - Jul 1
ER -