@article {7, title = {Development and preliminary testing of a computerized adaptive assessment of chronic pain}, journal = {Journal of Pain}, volume = {10}, number = {9}, year = {2009}, note = {Anatchkova, Milena DSaris-Baglama, Renee NKosinski, MarkBjorner, Jakob B1R43AR052251-01A1/AR/NIAMS NIH HHS/United StatesEvaluation StudiesResearch Support, N.I.H., ExtramuralUnited StatesThe journal of pain : official journal of the American Pain SocietyJ Pain. 2009 Sep;10(9):932-43.}, month = {Sep}, pages = {932-943}, edition = {2009/07/15}, abstract = {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{\textquoteright}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{\textquoteright} 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.}, keywords = {*Computers, *Questionnaires, Activities of Daily Living, Adaptation, Psychological, Chronic Disease, Cohort Studies, Disability Evaluation, Female, Humans, Male, Middle Aged, Models, Psychological, Outcome Assessment (Health Care), Pain Measurement/*methods, Pain, Intractable/*diagnosis/psychology, Psychometrics, Quality of Life, User-Computer Interface}, isbn = {1528-8447 (Electronic)1526-5900 (Linking)}, author = {Anatchkova, M. D. and Saris-Baglama, R. N. and Kosinski, M. and Bjorner, J. B.} } @article {311, title = {Multidimensional computerized adaptive testing of the EORTC QLQ-C30: basic developments and evaluations}, journal = {Quality of Life Research}, volume = {15}, number = {3}, year = {2006}, note = {Petersen, Morten AaGroenvold, MogensAaronson, NeilFayers, PeterSprangers, MirjamBjorner, Jakob BEuropean Organisation for Research and Treatment of Cancer Quality of Life GroupResearch Support, Non-U.S. Gov{\textquoteright}tNetherlandsQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitationQual Life Res. 2006 Apr;15(3):315-29.}, month = {Apr}, pages = {315-29}, edition = {2006/03/21}, abstract = {OBJECTIVE: Self-report questionnaires are widely used to measure health-related quality of life (HRQOL). Ideally, such questionnaires should be adapted to the individual patient and at the same time scores should be directly comparable across patients. This may be achieved using computerized adaptive testing (CAT). Usually, CAT is carried out for a single domain at a time. However, many HRQOL domains are highly correlated. Multidimensional CAT may utilize these correlations to improve measurement efficiency. We investigated the possible advantages and difficulties of multidimensional CAT. STUDY DESIGN AND SETTING: We evaluated multidimensional CAT of three scales from the EORTC QLQ-C30: the physical functioning, emotional functioning, and fatigue scales. Analyses utilised a database with 2958 European cancer patients. RESULTS: It was possible to obtain scores for the three domains with five to seven items administered using multidimensional CAT that were very close to the scores obtained using all 12 items and with no or little loss of measurement precision. CONCLUSION: The findings suggest that multidimensional CAT may significantly improve measurement precision and efficiency and encourage further research into multidimensional CAT. Particularly, the estimation of the model underlying the multidimensional CAT and the conceptual aspects need further investigations.}, keywords = {*Quality of Life, *Self Disclosure, Adult, Female, Health Status, Humans, Male, Middle Aged, Questionnaires/*standards, User-Computer Interface}, isbn = {0962-9343 (Print)}, author = {Petersen, M. A. and Groenvold, M. and Aaronson, N. K. and Fayers, P. and Sprangers, M. and Bjorner, J. B.} }