%0 Journal Article %J Journal of Pain %D 2009 %T Development and preliminary testing of a computerized adaptive assessment of chronic pain %A Anatchkova, M. D. %A Saris-Baglama, R. N. %A Kosinski, M. %A Bjorner, J. B. %K *Computers %K *Questionnaires %K Activities of Daily Living %K Adaptation, Psychological %K Chronic Disease %K Cohort Studies %K Disability Evaluation %K Female %K Humans %K Male %K Middle Aged %K Models, Psychological %K Outcome Assessment (Health Care) %K Pain Measurement/*methods %K Pain, Intractable/*diagnosis/psychology %K Psychometrics %K Quality of Life %K User-Computer Interface %X The aim of this article is to report the development and preliminary testing of a prototype computerized adaptive test of chronic pain (CHRONIC PAIN-CAT) conducted in 2 stages: (1) evaluation of various item selection and stopping rules through real data-simulated administrations of CHRONIC PAIN-CAT; (2) a feasibility study of the actual prototype CHRONIC PAIN-CAT assessment system conducted in a pilot sample. Item calibrations developed from a US general population sample (N = 782) were used to program a pain severity and impact item bank (kappa = 45), and real data simulations were conducted to determine a CAT stopping rule. The CHRONIC PAIN-CAT was programmed on a tablet PC using QualityMetric's Dynamic Health Assessment (DYHNA) software and administered to a clinical sample of pain sufferers (n = 100). The CAT was completed in significantly less time than the static (full item bank) assessment (P < .001). On average, 5.6 items were dynamically administered by CAT to achieve a precise score. Scores estimated from the 2 assessments were highly correlated (r = .89), and both assessments discriminated across pain severity levels (P < .001, RV = .95). Patients' evaluations of the CHRONIC PAIN-CAT were favorable. PERSPECTIVE: This report demonstrates that the CHRONIC PAIN-CAT is feasible for administration in a clinic. The application has the potential to improve pain assessment and help clinicians manage chronic pain. %B Journal of Pain %7 2009/07/15 %V 10 %P 932-943 %8 Sep %@ 1528-8447 (Electronic)1526-5900 (Linking) %G eng %M 19595636 %2 2763618