%0 Journal Article %J BMC Psychiatry %D 2004 %T Computerized adaptive measurement of depression: A simulation study %A Gardner, W. %A Shear, K. %A Kelleher, K. J. %A Pajer, K. A. %A Mammen, O. %A Buysse, D. %A Frank, E. %K *Computer Simulation %K Adult %K Algorithms %K Area Under Curve %K Comparative Study %K Depressive Disorder/*diagnosis/epidemiology/psychology %K Diagnosis, Computer-Assisted/*methods/statistics & numerical data %K Factor Analysis, Statistical %K Female %K Humans %K Internet %K Male %K Mass Screening/methods %K Patient Selection %K Personality Inventory/*statistics & numerical data %K Pilot Projects %K Prevalence %K Psychiatric Status Rating Scales/*statistics & numerical data %K Psychometrics %K Research Support, Non-U.S. Gov't %K Research Support, U.S. Gov't, P.H.S. %K Severity of Illness Index %K Software %X Background: Efficient, accurate instruments for measuring depression are increasingly importantin clinical practice. We developed a computerized adaptive version of the Beck DepressionInventory (BDI). We examined its efficiency and its usefulness in identifying Major DepressiveEpisodes (MDE) and in measuring depression severity.Methods: Subjects were 744 participants in research studies in which each subject completed boththe BDI and the SCID. In addition, 285 patients completed the Hamilton Depression Rating Scale.Results: The adaptive BDI had an AUC as an indicator of a SCID diagnosis of MDE of 88%,equivalent to the full BDI. The adaptive BDI asked fewer questions than the full BDI (5.6 versus 21items). The adaptive latent depression score correlated r = .92 with the BDI total score and thelatent depression score correlated more highly with the Hamilton (r = .74) than the BDI total scoredid (r = .70).Conclusions: Adaptive testing for depression may provide greatly increased efficiency withoutloss of accuracy in identifying MDE or in measuring depression severity. %B BMC Psychiatry %V 4 %P 13-23 %G eng %M 15132755