title: Measuring healthcare disparities and racial segregation in Missouri nursing homes.
abstract: Measuring and, ultimately, addressing disparities in long-term care quality continue to be a challenge. Although literature suggests that disparities in healthcare quality exist and nursing homes remain relatively segregated, healthcare professionals and policymakers stand to benefit from improvements in measuring both racial segregation and healthcare disparities. This paper quantifies the relationships between healthcare disparities and racial segregation using the disparities quality index and dissimilarity index. Results suggested that the more segregated the nursing homes, the greater the observed disparities. Multivariate regression analysis indicated that the proportion of Black residents in nursing homes is the variable that best predicts disparities.
authors: Medicare Quality Improvement Organization (QIO) for Missouri, USA. jchang@primaris.org
authors: Yishih J
authors: YJ
authors: Chang
authors: Bruce
authors: B
authors: Siegel
authors: Gail
authors: G
authors: Wilkerson
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data; D000368:Aged; D054625:Healthcare Disparities / Q000208:ethnology* / Q000706:statistics & numerical data; D006801:Humans; D008134:Long-Term Care / Q000592:standards* / Q000706:statistics & numerical data; D008484:Medicaid / Q000706:statistics & numerical data; D008923:Missouri; D009735:Nursing Homes / Q000592:standards* / Q000706:statistics & numerical data; D019984:Quality Indicators, Health Care / Q000592:standards* / Q000706:statistics & numerical data; D063505:Racism; D012044:Regression Analysis; D014481:United States; D044465:White People / Q000706:statistics & numerical data