TY - JOUR T1 - Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments JF - Sleep Y1 - 2010 A1 - Buysse, D. J. A1 - Yu, L. A1 - Moul, D. E. A1 - Germain, A. A1 - Stover, A. A1 - Dodds, N. E. A1 - Johnston, K. L. A1 - Shablesky-Cade, M. A. A1 - Pilkonis, P. A. KW - *Outcome Assessment (Health Care) KW - *Self Disclosure KW - Adult KW - Aged KW - Aged, 80 and over KW - Cross-Sectional Studies KW - Factor Analysis, Statistical KW - Female KW - Humans KW - Male KW - Middle Aged KW - Psychometrics KW - Questionnaires KW - Reproducibility of Results KW - Sleep Disorders/*diagnosis KW - Young Adult AB - 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. VL - 33 SN - 0161-8105 (Print)0161-8105 (Linking) N1 - Buysse, Daniel JYu, LanMoul, Douglas EGermain, AnneStover, AngelaDodds, Nathan EJohnston, Kelly LShablesky-Cade, Melissa APilkonis, Paul AAR052155/AR/NIAMS NIH HHS/United StatesU01AR52155/AR/NIAMS NIH HHS/United StatesU01AR52158/AR/NIAMS NIH HHS/United StatesU01AR52170/AR/NIAMS NIH HHS/United StatesU01AR52171/AR/NIAMS NIH HHS/United StatesU01AR52177/AR/NIAMS NIH HHS/United StatesU01AR52181/AR/NIAMS NIH HHS/United StatesU01AR52186/AR/NIAMS NIH HHS/United StatesResearch Support, N.I.H., ExtramuralValidation StudiesUnited StatesSleepSleep. 2010 Jun 1;33(6):781-92. U2 - 2880437 ER - TY - JOUR T1 - Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing JF - Journal of Rheumatology Y1 - 2009 A1 - Fries, J.F. A1 - Cella, D. A1 - Rose, M. A1 - Krishnan, E. A1 - Bruce, B. KW - *Disability Evaluation KW - *Outcome Assessment (Health Care) KW - Arthritis/diagnosis/*physiopathology KW - Health Surveys KW - Humans KW - Prognosis KW - Reproducibility of Results AB - OBJECTIVE: Assessing self-reported physical function/disability with the Health Assessment Questionnaire Disability Index (HAQ) and other instruments has become central in arthritis research. Item response theory (IRT) and computerized adaptive testing (CAT) techniques can increase reliability and statistical power. IRT-based instruments can improve measurement precision substantially over a wider range of disease severity. These modern methods were applied and the magnitude of improvement was estimated. METHODS: A 199-item physical function/disability item bank was developed by distilling 1865 items to 124, including Legacy Health Assessment Questionnaire (HAQ) and Physical Function-10 items, and improving precision through qualitative and quantitative evaluation in over 21,000 subjects, which included about 1500 patients with rheumatoid arthritis and osteoarthritis. Four new instruments, (A) Patient-Reported Outcomes Measurement Information (PROMIS) HAQ, which evolved from the original (Legacy) HAQ; (B) "best" PROMIS 10; (C) 20-item static (short) forms; and (D) simulated PROMIS CAT, which sequentially selected the most informative item, were compared with the HAQ. RESULTS: Online and mailed administration modes yielded similar item and domain scores. The HAQ and PROMIS HAQ 20-item scales yielded greater information content versus other scales in patients with more severe disease. The "best" PROMIS 20-item scale outperformed the other 20-item static forms over a broad range of 4 standard deviations. The 10-item simulated PROMIS CAT outperformed all other forms. CONCLUSION: Improved items and instruments yielded better information. The PROMIS HAQ is currently available and considered validated. The new PROMIS short forms, after validation, are likely to represent further improvement. CAT-based physical function/disability assessment offers superior performance over static forms of equal length. VL - 36 SN - 0315-162X (Print)0315-162X (Linking) N1 - Fries, James FCella, DavidRose, MatthiasKrishnan, EswarBruce, BonnieU01 AR052158/AR/NIAMS NIH HHS/United StatesU01 AR52177/AR/NIAMS NIH HHS/United StatesConsensus Development ConferenceResearch Support, N.I.H., ExtramuralCanadaThe Journal of rheumatologyJ Rheumatol. 2009 Sep;36(9):2061-6. ER - TY - JOUR T1 - Developing tailored instruments: item banking and computerized adaptive assessment JF - Quality of Life Research Y1 - 2007 A1 - Bjorner, J. B. A1 - Chang, C-H. A1 - Thissen, D. A1 - Reeve, B. B. KW - *Health Status KW - *Health Status Indicators KW - *Mental Health KW - *Outcome Assessment (Health Care) KW - *Quality of Life KW - *Questionnaires KW - *Software KW - Algorithms KW - Factor Analysis, Statistical KW - Humans KW - Models, Statistical KW - Psychometrics AB - Item banks and Computerized Adaptive Testing (CAT) have the potential to greatly improve the assessment of health outcomes. This review describes the unique features of item banks and CAT and discusses how to develop item banks. In CAT, a computer selects the items from an item bank that are most relevant for and informative about the particular respondent; thus optimizing test relevance and precision. Item response theory (IRT) provides the foundation for selecting the items that are most informative for the particular respondent and for scoring responses on a common metric. The development of an item bank is a multi-stage process that requires a clear definition of the construct to be measured, good items, a careful psychometric analysis of the items, and a clear specification of the final CAT. The psychometric analysis needs to evaluate the assumptions of the IRT model such as unidimensionality and local independence; that the items function the same way in different subgroups of the population; and that there is an adequate fit between the data and the chosen item response models. Also, interpretation guidelines need to be established to help the clinical application of the assessment. Although medical research can draw upon expertise from educational testing in the development of item banks and CAT, the medical field also encounters unique opportunities and challenges. VL - 16 SN - 0962-9343 (Print) N1 - Bjorner, Jakob BueChang, Chih-HungThissen, DavidReeve, Bryce B1R43NS047763-01/NS/United States NINDSAG015815/AG/United States NIAResearch Support, N.I.H., ExtramuralNetherlandsQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitationQual Life Res. 2007;16 Suppl 1:95-108. Epub 2007 Feb 15. ER - TY - JOUR T1 - Patient-reported outcomes measurement and management with innovative methodologies and technologies JF - Quality of Life Research Y1 - 2007 A1 - Chang, C-H. KW - *Health Status KW - *Outcome Assessment (Health Care) KW - *Quality of Life KW - *Software KW - Computer Systems/*trends KW - Health Insurance Portability and Accountability Act KW - Humans KW - Patient Satisfaction KW - Questionnaires KW - United States AB - Successful integration of modern psychometrics and advanced informatics in patient-reported outcomes (PRO) measurement and management can potentially maximize the value of health outcomes research and optimize the delivery of quality patient care. Unlike the traditional labor-intensive paper-and-pencil data collection method, item response theory-based computerized adaptive testing methodologies coupled with novel technologies provide an integrated environment to collect, analyze and present ready-to-use PRO data for informed and shared decision-making. This article describes the needs, challenges and solutions for accurate, efficient and cost-effective PRO data acquisition and dissemination means in order to provide critical and timely PRO information necessary to actively support and enhance routine patient care in busy clinical settings. VL - 16 Suppl 1 SN - 0962-9343 (Print)0962-9343 (Linking) N1 - Chang, Chih-HungR21CA113191/CA/NCI NIH HHS/United StatesResearch Support, N.I.H., ExtramuralNetherlandsQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitationQual Life Res. 2007;16 Suppl 1:157-66. Epub 2007 May 26. ER - TY - JOUR T1 - On-line performance assessment using rating scales JF - Journal of Outcomes Measurement Y1 - 1997 A1 - Stahl, J. A1 - Shumway, R. A1 - Bergstrom, B. A1 - Fisher, A. KW - *Outcome Assessment (Health Care) KW - *Rehabilitation KW - *Software KW - *Task Performance and Analysis KW - Activities of Daily Living KW - Humans KW - Microcomputers KW - Psychometrics KW - Psychomotor Performance AB - The purpose of this paper is to report on the development of the on-line performance assessment instrument--the Assessment of Motor and Process Skills (AMPS). Issues that will be addressed in the paper include: (a) the establishment of the scoring rubric and its implementation in an extended Rasch model, (b) training of raters, (c) validation of the scoring rubric and procedures for monitoring the internal consistency of raters, and (d) technological implementation of the assessment instrument in a computerized program. VL - 1 N1 - 1090-655X (Print)Journal Article ER -