Special Issue: Measuring and Analyzing Health Care Disparities
Looking to the Future: Incorporating Genomic Information into Disparities Research to Reduce Measurement Error and Selection Bias
Article first published online: 19 APR 2012
© Health Research and Educational Trust
Health Services Research
Volume 47, Issue 3pt2, pages 1387–1410, June 2012
How to Cite
Shields, A. E. and Crown, W. H. (2012), Looking to the Future: Incorporating Genomic Information into Disparities Research to Reduce Measurement Error and Selection Bias. Health Services Research, 47: 1387–1410. doi: 10.1111/j.1475-6773.2012.01413.x
- Issue published online: 8 MAY 2012
- Article first published online: 19 APR 2012
- Harvard Catalyst|The Harvard Clinical and Translational Science Center. Grant Number: UL1 RR 025758
- Harvard University
- National Human Genome Research Institute. Grant Number: R01 HG003475-03
- OptumInsight Fellowship Program
- Health economics;
- social determinants of health;
- racial/ethnic differences in health and health care;
- personalized medicine;
To extend recent conceptual and methodological advances in disparities research to include the incorporation of genomic information in analyses of racial/ethnic disparities in health care and health outcomes.
Published literature on human genetic variation, the role of genetics in disease and response to treatment, and methodological developments in disparities research.
We present a conceptual framework for incorporating genomic information into the Institute of Medicine definition of racial/ethnic disparities in health care, identify key concepts used in disparities research that can be informed by genomics research, and illustrate the incorporation of genomic information into current methods using the example of HER-2 mutations guiding care for breast cancer.
Genomic information has not yet been incorporated into disparities research, though it has direct relevance to concepts of race/ethnicity, health status, appropriate care, and socioeconomic status. The HER-2 example demonstrates how available genetic information can be incorporated into current disparities methods to reduce selection bias and measurement error. Advances in health information infrastructure may soon make standardized genetic information more available to health services researchers.
Genomic information can refine measurement of racial/ethnic disparities in health care and health outcomes and should be included wherever possible in disparities research.