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Development of a Computerized Adaptive Test for Depression

Development of a Computerized Adaptive Test for Depression ORIGINAL ARTICLE Development of a Computerized Adaptive Test for Depression Robert D. Gibbons, PhD; David J. Weiss, PhD; Paul A. Pilkonis, PhD; Ellen Frank, PhD; Tara Moore, MA, MPH; Jong Bae Kim, PhD; David J. Kupfer, MD Context: Unlike other areas of medicine, psychiatry is for DSM-IV was used to obtain diagnostic classifications almost entirely dependent on patient report to assess the of minor and major depressive disorder. presence and severity of disease; therefore, it is particu- larly crucial that we find both more accurate and effi- Results: A mean of 12 items per study participant was cient means of obtaining that report. required to achieve a 0.3 SE in the depression severity estimate and maintain a correlation of r = 0.95 with the total 389-item test score. Using empirically derived thresh- Objective: To develop a computerized adaptive test olds based on a mixture of normal distributions, we found (CAT) for depression, called the Computerized Adap- a sensitivity of 0.92 and a specificity of 0.88 for the clas- tive Test–Depression Inventory (CAT-DI), that de- sification of major depressive disorder in a sample con- creases patient and clinician burden and increases mea- sisting of depressed patients and healthy controls. Cor- http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Psychiatry American Medical Association

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References (30)

Publisher
American Medical Association
Copyright
Copyright 2012 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
2168-622X
eISSN
2168-6238
DOI
10.1001/archgenpsychiatry.2012.14
pmid
23117634
Publisher site
See Article on Publisher Site

Abstract

ORIGINAL ARTICLE Development of a Computerized Adaptive Test for Depression Robert D. Gibbons, PhD; David J. Weiss, PhD; Paul A. Pilkonis, PhD; Ellen Frank, PhD; Tara Moore, MA, MPH; Jong Bae Kim, PhD; David J. Kupfer, MD Context: Unlike other areas of medicine, psychiatry is for DSM-IV was used to obtain diagnostic classifications almost entirely dependent on patient report to assess the of minor and major depressive disorder. presence and severity of disease; therefore, it is particu- larly crucial that we find both more accurate and effi- Results: A mean of 12 items per study participant was cient means of obtaining that report. required to achieve a 0.3 SE in the depression severity estimate and maintain a correlation of r = 0.95 with the total 389-item test score. Using empirically derived thresh- Objective: To develop a computerized adaptive test olds based on a mixture of normal distributions, we found (CAT) for depression, called the Computerized Adap- a sensitivity of 0.92 and a specificity of 0.88 for the clas- tive Test–Depression Inventory (CAT-DI), that de- sification of major depressive disorder in a sample con- creases patient and clinician burden and increases mea- sisting of depressed patients and healthy controls. Cor-

Journal

JAMA PsychiatryAmerican Medical Association

Published: Nov 1, 2012

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