%0 Journal Article %J Medical Care %D 2007 %T Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS) %A Reeve, B. B. %A Hays, R. D. %A Bjorner, J. B. %A Cook, K. F. %A Crane, P. K. %A Teresi, J. A. %A Thissen, D. %A Revicki, D. A. %A Weiss, D. J. %A Hambleton, R. K. %A Liu, H. %A Gershon, R. C. %A Reise, S. P. %A Lai, J. S. %A Cella, D. %K *Health Status %K *Information Systems %K *Quality of Life %K *Self Disclosure %K Adolescent %K Adult %K Aged %K Calibration %K Databases as Topic %K Evaluation Studies as Topic %K Female %K Humans %K Male %K Middle Aged %K Outcome Assessment (Health Care)/*methods %K Psychometrics %K Questionnaires/standards %K United States %X BACKGROUND: The construction and evaluation of item banks to measure unidimensional constructs of health-related quality of life (HRQOL) is a fundamental objective of the Patient-Reported Outcomes Measurement Information System (PROMIS) project. OBJECTIVES: Item banks will be used as the foundation for developing short-form instruments and enabling computerized adaptive testing. The PROMIS Steering Committee selected 5 HRQOL domains for initial focus: physical functioning, fatigue, pain, emotional distress, and social role participation. This report provides an overview of the methods used in the PROMIS item analyses and proposed calibration of item banks. ANALYSES: Analyses include evaluation of data quality (eg, logic and range checking, spread of response distribution within an item), descriptive statistics (eg, frequencies, means), item response theory model assumptions (unidimensionality, local independence, monotonicity), model fit, differential item functioning, and item calibration for banking. RECOMMENDATIONS: Summarized are key analytic issues; recommendations are provided for future evaluations of item banks in HRQOL assessment. %B Medical Care %7 2007/04/20 %V 45 %P S22-31 %8 May %@ 0025-7079 (Print) %G eng %M 17443115 %0 Journal Article %J Evaluation and the Health Professions %D 2005 %T Data pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer %A Eton, D. T. %A Lai, J. S. %A Cella, D. %A Reeve, B. B. %A Talcott, J. A. %A Clark, J. A. %A McPherson, C. P. %A Litwin, M. S. %A Moinpour, C. M. %K *Quality of Life %K *Questionnaires %K Adult %K Aged %K Data Collection/methods %K Humans %K Intestine, Large/*physiopathology %K Male %K Middle Aged %K Prostatic Neoplasms/*physiopathology %K Psychometrics %K Research Support, Non-U.S. Gov't %K Statistics, Nonparametric %X Assessing bowel function (BF) in prostate cancer can help determine therapeutic trade-offs. We determined the components of BF commonly assessed in prostate cancer studies as an initial step in creating an item bank for clinical and research application. We analyzed six archived data sets representing 4,246 men with prostate cancer. Thirty-one items from validated instruments were available for analysis. Items were classified into domains (diarrhea, rectal urgency, pain, bleeding, bother/distress, and other) then subjected to conventional psychometric and item response theory (IRT) analyses. Items fit the IRT model if the ratio between observed and expected item variance was between 0.60 and 1.40. Four of 31 items had inadequate fit in at least one analysis. Poorly fitting items included bleeding (2), rectal urgency (1), and bother/distress (1). A fifth item assessing hemorrhoids was poorly correlated with other items. Our analyses supported four related components of BF: diarrhea, rectal urgency, pain, and bother/distress. %B Evaluation and the Health Professions %V 28 %P 142-59 %G eng %M 15851770