Crystal E Brown1,2, Ruth A Engelberg1,2, Rashmi Sharma1,3, Lois Downey1,2, James A Fausto1,4, James Sibley1,5, William Lober1,5, Nita Khandelwal1,6, Elizabeth T Loggers1,7,8, J Randall Curtis1,2. 1. 1 Cambia Palliative Care Center of Excellence, University of Washington , Seattle, Washington. 2. 2 Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington , Seattle, Washington. 3. 3 Division of General Internal Medicine, University of Washington , Seattle, Washington. 4. 4 Department of Family Medicine, University of Washington , Seattle, Washington. 5. 5 Department of Bioinformatics and Medical Education, University of Washington , Seattle, Washington. 6. 6 Department of Anesthesiology and Pain Medicine, University of Washington , Seattle, Washington. 7. 7 Seattle Cancer Care Alliance , Seattle, Washington. 8. 8 Clinical Research Division, Fred Hutchinson Cancer Research Center , Seattle, Washington.
Abstract
BACKGROUND: Although racial/ethnic minorities receive more intense, nonbeneficial healthcare at the end of life, the role of race/ethnicity independent of other social determinants of health is not well understood. OBJECTIVES: Examine the association between race/ethnicity, other key social determinants of health, and healthcare intensity in the last 30 days of life for those with chronic, life-limiting illness. SUBJECTS: We identified 22,068 decedents with chronic illness cared for at a single healthcare system in Washington State who died between 2010 and 2015 and linked electronic health records to death certificate data. DESIGN: Binomial regression models were used to test associations of healthcare intensity with race/ethnicity, insurance status, education, and median income by zip code. Path analyses tested direct and indirect effects of race/ethnicity with insurance, education, and median income by zip code used as mediators. MEASUREMENTS: We examined three measures of healthcare intensity: (1) intensive care unit admission, (2) use of mechanical ventilation, and (3) receipt of cardiopulmonary resuscitation. RESULTS: Minority race/ethnicity, lower income and educational attainment, and Medicaid and military insurance were associated with higher intensity care. Socioeconomic disadvantage accounted for some of the higher intensity in racial/ethnic minorities, but most of the effects were direct effects of race/ethnicity. CONCLUSIONS: The effects of minority race/ethnicity on healthcare intensity at the end of life are only partly mediated by other social determinants of health. Future interventions should address the factors driving both direct and indirect effects of race/ethnicity on healthcare intensity.
BACKGROUND: Although racial/ethnic minorities receive more intense, nonbeneficial healthcare at the end of life, the role of race/ethnicity independent of other social determinants of health is not well understood. OBJECTIVES: Examine the association between race/ethnicity, other key social determinants of health, and healthcare intensity in the last 30 days of life for those with chronic, life-limiting illness. SUBJECTS: We identified 22,068 decedents with chronic illness cared for at a single healthcare system in Washington State who died between 2010 and 2015 and linked electronic health records to death certificate data. DESIGN: Binomial regression models were used to test associations of healthcare intensity with race/ethnicity, insurance status, education, and median income by zip code. Path analyses tested direct and indirect effects of race/ethnicity with insurance, education, and median income by zip code used as mediators. MEASUREMENTS: We examined three measures of healthcare intensity: (1) intensive care unit admission, (2) use of mechanical ventilation, and (3) receipt of cardiopulmonary resuscitation. RESULTS: Minority race/ethnicity, lower income and educational attainment, and Medicaid and military insurance were associated with higher intensity care. Socioeconomic disadvantage accounted for some of the higher intensity in racial/ethnic minorities, but most of the effects were direct effects of race/ethnicity. CONCLUSIONS: The effects of minority race/ethnicity on healthcare intensity at the end of life are only partly mediated by other social determinants of health. Future interventions should address the factors driving both direct and indirect effects of race/ethnicity on healthcare intensity.
Entities:
Keywords:
end of life; healthcare disparities; race/ethnicity; social determinants; socioeconomic status
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