%0 Journal Article %J Sleep %D 2010 %T Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments %A Buysse, D. J. %A Yu, L. %A Moul, D. E. %A Germain, A. %A Stover, A. %A Dodds, N. E. %A Johnston, K. L. %A Shablesky-Cade, M. A. %A Pilkonis, P. A. %K *Outcome Assessment (Health Care) %K *Self Disclosure %K Adult %K Aged %K Aged, 80 and over %K Cross-Sectional Studies %K Factor Analysis, Statistical %K Female %K Humans %K Male %K Middle Aged %K Psychometrics %K Questionnaires %K Reproducibility of Results %K Sleep Disorders/*diagnosis %K Young Adult %X STUDY OBJECTIVES: To develop an archive of self-report questions assessing sleep disturbance and sleep-related impairments (SRI), to develop item banks from this archive, and to validate and calibrate the item banks using classic validation techniques and item response theory analyses in a sample of clinical and community participants. DESIGN: Cross-sectional self-report study. SETTING: Academic medical center and participant homes. PARTICIPANTS: One thousand nine hundred ninety-three adults recruited from an Internet polling sample and 259 adults recruited from medical, psychiatric, and sleep clinics. INTERVENTIONS: None. MEASUREMENTS AND RESULTS: This study was part of PROMIS (Patient-Reported Outcomes Information System), a National Institutes of Health Roadmap initiative. Self-report item banks were developed through an iterative process of literature searches, collecting and sorting items, expert content review, qualitative patient research, and pilot testing. Internal consistency, convergent validity, and exploratory and confirmatory factor analysis were examined in the resulting item banks. Factor analyses identified 2 preliminary item banks, sleep disturbance and SRI. Item response theory analyses and expert content review narrowed the item banks to 27 and 16 items, respectively. Validity of the item banks was supported by moderate to high correlations with existing scales and by significant differences in sleep disturbance and SRI scores between participants with and without sleep disorders. CONCLUSIONS: The PROMIS sleep disturbance and SRI item banks have excellent measurement properties and may prove to be useful for assessing general aspects of sleep and SRI with various groups of patients and interventions. %B Sleep %7 2010/06/17 %V 33 %P 781-92 %8 Jun 1 %@ 0161-8105 (Print)0161-8105 (Linking) %G eng %M 20550019 %2 2880437 %0 Journal Article %J Quality of Life Research %D 2009 %T Measuring global physical health in children with cerebral palsy: Illustration of a multidimensional bi-factor model and computerized adaptive testing %A Haley, S. M. %A Ni, P. %A Dumas, H. M. %A Fragala-Pinkham, M. A. %A Hambleton, R. K. %A Montpetit, K. %A Bilodeau, N. %A Gorton, G. E. %A Watson, K. %A Tucker, C. A. %K *Computer Simulation %K *Health Status %K *Models, Statistical %K Adaptation, Psychological %K Adolescent %K Cerebral Palsy/*physiopathology %K Child %K Child, Preschool %K Factor Analysis, Statistical %K Female %K Humans %K Male %K Massachusetts %K Pennsylvania %K Questionnaires %K Young Adult %X PURPOSE: The purposes of this study were to apply a bi-factor model for the determination of test dimensionality and a multidimensional CAT using computer simulations of real data for the assessment of a new global physical health measure for children with cerebral palsy (CP). METHODS: Parent respondents of 306 children with cerebral palsy were recruited from four pediatric rehabilitation hospitals and outpatient clinics. We compared confirmatory factor analysis results across four models: (1) one-factor unidimensional; (2) two-factor multidimensional (MIRT); (3) bi-factor MIRT with fixed slopes; and (4) bi-factor MIRT with varied slopes. We tested whether the general and content (fatigue and pain) person score estimates could discriminate across severity and types of CP, and whether score estimates from a simulated CAT were similar to estimates based on the total item bank, and whether they correlated as expected with external measures. RESULTS: Confirmatory factor analysis suggested separate pain and fatigue sub-factors; all 37 items were retained in the analyses. From the bi-factor MIRT model with fixed slopes, the full item bank scores discriminated across levels of severity and types of CP, and compared favorably to external instruments. CAT scores based on 10- and 15-item versions accurately captured the global physical health scores. CONCLUSIONS: The bi-factor MIRT CAT application, especially the 10- and 15-item versions, yielded accurate global physical health scores that discriminated across known severity groups and types of CP, and correlated as expected with concurrent measures. The CATs have potential for collecting complex data on the physical health of children with CP in an efficient manner. %B Quality of Life Research %7 2009/02/18 %V 18 %P 359-370 %8 Apr %@ 0962-9343 (Print)0962-9343 (Linking) %G eng %M 19221892 %2 2692519