Laura M Perry1, Leah E Walsh2, Ronald Horswell3, Lucio Miele4, San Chu3, Brian Melancon3, John Lefante5, Christopher M Blais6, James L Rogers5, Michael Hoerger5. 1. Tulane University, New Orleans, Louisiana, USA. Electronic address: Lperry5@tulane.edu. 2. Fordham University, New York, New York, USA. 3. Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA. 4. LSU Health Sciences Center, New Orleans, Louisiana, USA. 5. Tulane University, New Orleans, Louisiana, USA. 6. Ochsner Medical Center, New Orleans, Louisiana, USA.
Abstract
CONTEXT: The comfort of patients with cancer near the end of life (EOL) is often undermined by unnecessary and burdensome treatments. There is a need for more research examining racial disparities in EOL care, especially in regions with a history of racial discrimination. OBJECTIVES: To examine whether black adults received more burdensome EOL care than white adults in a population-based data set of cancer decedents in Louisiana, a state with a history of slavery and long-standing racial disparities. METHODS: This was a retrospective analysis of EOL care from the Research Action for Health Network (REACHnet), a regional Patient-Centered Outcomes Research Institute-funded database. The sample consisted of 875 white and 415 black patients with metastatic cancer who died in Louisiana from 2011 to 2017. We used logistic regression to examine whether race was associated with five indicators of burdensome care in the last 30 days of life: chemotherapy use, inpatient hospitalization, intensive care unit admission, emergency department (ED) admission, and mechanical ventilation. RESULTS: Most patients (85.0%) received at least one indicator of burdensome care: hospitalization (76.5%), intensive care unit admission (44.1%), chemotherapy (29.1%), mechanical ventilation (23.0%), and ED admission (18.3%). Odds ratios (ORs) indicated that black individuals were more likely than white individuals to be hospitalized (OR = 1.66; 95% CI = 1.21-2.28; P = 0.002) or admitted to the ED (OR = 1.57; 95% CI = 1.16-2.13; P = 0.004) during their last month of life. CONCLUSION: Findings have implications for informing health care decision making near the EOL for patients, families, and clinicians, especially in regions with a history of racial discrimination and disparities.
CONTEXT: The comfort of patients with cancer near the end of life (EOL) is often undermined by unnecessary and burdensome treatments. There is a need for more research examining racial disparities in EOL care, especially in regions with a history of racial discrimination. OBJECTIVES: To examine whether black adults received more burdensome EOL care than white adults in a population-based data set of cancer decedents in Louisiana, a state with a history of slavery and long-standing racial disparities. METHODS: This was a retrospective analysis of EOL care from the Research Action for Health Network (REACHnet), a regional Patient-Centered Outcomes Research Institute-funded database. The sample consisted of 875 white and 415 black patients with metastatic cancer who died in Louisiana from 2011 to 2017. We used logistic regression to examine whether race was associated with five indicators of burdensome care in the last 30 days of life: chemotherapy use, inpatient hospitalization, intensive care unit admission, emergency department (ED) admission, and mechanical ventilation. RESULTS: Most patients (85.0%) received at least one indicator of burdensome care: hospitalization (76.5%), intensive care unit admission (44.1%), chemotherapy (29.1%), mechanical ventilation (23.0%), and ED admission (18.3%). Odds ratios (ORs) indicated that black individuals were more likely than white individuals to be hospitalized (OR = 1.66; 95% CI = 1.21-2.28; P = 0.002) or admitted to the ED (OR = 1.57; 95% CI = 1.16-2.13; P = 0.004) during their last month of life. CONCLUSION: Findings have implications for informing health care decision making near the EOL for patients, families, and clinicians, especially in regions with a history of racial discrimination and disparities.
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