Joseph J. Sudano, Jr., PhD, Awarded $1.4 Million to Study Racial/Ethnic Measurement Bias in Health Surveys

By | April 13, 2005

Center faculty member Joseph J. Sudano, Jr., PhD, Assistant Professor of Medicine and Epidemiology and Biostatistics, has been awarded a 3-year grant from the National Institutes on Aging to investigate racial/ethnic measurement bias in the most commonly used health survey tools. Along with co-Investigators Patrick Murray MD, Thomas Love PhD, and Neal Dawson, MD, 1320 whites, blacks, English-speaking and Spanish-speaking Hispanics will take a standard health survey and then asked to perform a series of tests to measure physical functions related to the concepts in the survey. Comparisons between the subjective assessments of health and the objective tests of physical performance will be made to determine if there are differences in these measures across the 4 groups. Results will help in designing future health surveys and more accurately understand differences in health status across racial/ethnic groups. Joining Dr. Sudano in this study are consortium researchers from Northwestern University`s Feinberg School of Medicine, including David W. Baker, MD and Gail Huber, PT.

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About Joseph J. Sudano

I have been trained as a medical sociologist and health services researcher and am currently a faculty member in the Population Health Unit in the Center for Health Care Research and Policy, Case Western Reserve University at The MetroHealth System and Assistant Professor in the Department of Medicine, Case Western Reserve University. I am also the Director of Education in the Center for Reducing Health Disparities at Case Western Reserve University. My current research interests include: disparities in health care access, utilization and health outcomes concentrating on minorities and other vulnerable populations; social determinants of health including community/contextual characteristics (e.g., residential segregation, SES/poverty, job opportunities); measurement equivalence, validity and item-response theory in cross-cultural health status measurement; culturally-specific health beliefs and behaviors; general cognitive ability, personality, and education in relationship to health status and health behaviors; structural equation modeling/path analysis in health outcomes research; health related survey data collection and analysis; international health services research.