%0 Journal Article %J Journal of Clinical Epidemiology %D 2009 %T An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception %A Kocalevent, R. D. %A Rose, M. %A Becker, J. %A Walter, O. B. %A Fliege, H. %A Bjorner, J. B. %A Kleiber, D. %A Klapp, B. F. %K *Diagnosis, Computer-Assisted %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Confidence Intervals %K Female %K Humans %K Male %K Middle Aged %K Perception %K Quality of Health Care/*standards %K Questionnaires %K Reproducibility of Results %K Sickness Impact Profile %K Stress, Psychological/*diagnosis/psychology %K Treatment Outcome %X OBJECTIVES: This study aimed to develop and evaluate a first computerized adaptive test (CAT) for the measurement of stress perception (Stress-CAT), in terms of the two dimensions: exposure to stress and stress reaction. STUDY DESIGN AND SETTING: Item response theory modeling was performed using a two-parameter model (Generalized Partial Credit Model). The evaluation of the Stress-CAT comprised a simulation study and real clinical application. A total of 1,092 psychosomatic patients (N1) were studied. Two hundred simulees (N2) were generated for a simulated response data set. Then the Stress-CAT was given to n=116 inpatients, (N3) together with established stress questionnaires as validity criteria. RESULTS: The final banks included n=38 stress exposure items and n=31 stress reaction items. In the first simulation study, CAT scores could be estimated with a high measurement precision (SE<0.32; rho>0.90) using 7.0+/-2.3 (M+/-SD) stress reaction items and 11.6+/-1.7 stress exposure items. The second simulation study reanalyzed real patients data (N1) and showed an average use of items of 5.6+/-2.1 for the dimension stress reaction and 10.0+/-4.9 for the dimension stress exposure. Convergent validity showed significantly high correlations. CONCLUSIONS: The Stress-CAT is short and precise, potentially lowering the response burden of patients in clinical decision making. %B Journal of Clinical Epidemiology %7 2008/07/22 %V 62 %P 278-287 %@ 1878-5921 (Electronic)0895-4356 (Linking) %G eng %M 18639439