4083.0: Tuesday, November 14, 2000: 8:30 AM-10:00 AM | ||||
| ||||
| This session includes 5papers concerned with the fundamental measurement of quality of care, one on quality of life, and one on disease adjusted life years. The first 5 papers provide results from fundamental measurement studies of the Medical Expenditure Panel Survey's and the Consumer Assessment of Health Plans Survey's quality of care data. Analyses implementing fundamental measurement theory test the hypothesis that mathematically abstract, sample- and scale-free interval measures can be constructed from empirical, concrete, sample- and scale-dependent ordinal counts of survey responses. Advantages of fundamental measurement include data quality assessment and linear, additive units of measurement that serve as quantitative reference standards for all instruments shown to measure a particular variable. The basic concepts of invariance and sufficiency will be introduced via a graphical presentation explaining why mathematically abstract measures of weight are economically superior to empirical and concrete counts, a superiority we take for granted daily in grocery-store purchasing decisions. MEPS and CAHPS data will then be used to demonstrate the same fundamental measurement principles in the quality of care arena. Analyses of all cases will be contrasted with analyses of better-fitting and best-fitting subsets of cases. Reliabilities vary from .65 to .82 for the MEPS, and from .79 to .91 for the CAHPS, with similar improvements in data-model fit. The invariance of scale calibrations over samples of cases are studied via plots, with correlations ranging from .55 to .99. Thhe fiftsh paper involves a critical evaluation of the fundamental measurement papers | ||||
| See individual abstracts for presenting author's disclosure statement. | ||||
| Learning Objectives: Refer to the individual abstracts for learning objectives | ||||
| Craig D. Turnbull, PhD | ||||
| Obtaining Fundamental Measurement: From Concrete, Ordinal Counts to Abstract, Interval Measures William P. Fisher, PhD, George Karabatsos, PhD | ||||
| Quality of Care Metrology: New Possibilities for Generalized Quantification William P. Fisher, PhD, George Karabatsos, PhD | ||||
| Procedures for Studying Quality of Care Survey Data with a Fundamental Measurement Model George Karabatsos, PhD, William P. Fisher, PhD | ||||
| MEPS and CAHPS Quality of Care Calibration Results George Karabatsos, PhD, William P. Fisher, PhD | ||||
| Discussion/Comment John Ware, PhD | ||||
| Quality of Life: Assessing Psychometric Properties of the SF-36 Richard M Smith, PhD, Patricia A Taylor, DrPH, MSW | ||||
| Validation of the global health measure 'Disease adjusted life years' (DALY) using ESRD-Microdata Stefan Gawrich, Ulrich Mueller | ||||
| Sponsor: | Statistics | |||
| Cosponsors: | Community Health Planning and Policy Development; Disability Forum; Epidemiology; Health Administration; Mental Health; Women's Caucus | |||