OBJECTIVE: To examine whether differences exist in the in-hospital diagnostic evaluation and treatment of African American and white patients with ischemic stroke (IS) and TIA. METHODS: The authors used a state-wide hospital-based stroke registry prototype designed to measure and track the quality of acute stroke care. Weighted descriptive statistics for each racial group are reported for the following variables, which were deemed to be potential confounders of the association between race and the quality of stroke care: age, gender, insurance status, emergency medical services arrival, functional status on presentation, modified Rankin score at discharge, stroke subtype, neurologist involved in care, and stroke pathway utilization. The magnitude and significance of the associations between race and each quality indicator of in-hospital acute stroke care were determined by separate multiple logistic regression models, adjusting for all potential confounding variables. RESULTS: Among patients admitted with IS and TIA who were alive at discharge (n = 1,837), 340 (18.5%) were African American and 1497 (81.5%) were white. After multivariate analysis, African Americans were less likely to have a door-to-CT time of less than 25 minutes (odds ratio [OR] 0.13 [CI 0.049 to 0.32]), obtain cardiac monitoring (OR 0.54 [CI 0.29 to 1.03]), undergo dysphagia screening (OR 0.69 [CI 0.50 to 0.95]), and receive smoking cessation counseling (OR 0.27 [CI 0.17 to 0.42]). CONCLUSIONS: Quality of hospital care for African American and white patients with acute ischemic stroke and TIA was similar in many respects. However, African Americans were less likely to receive a CT within 25 minutes of arrival, cardiac monitoring, dysphagia screening, and smoking cessation counseling.
OBJECTIVE: To examine whether differences exist in the in-hospital diagnostic evaluation and treatment of African American and white patients with ischemic stroke (IS) and TIA. METHODS: The authors used a state-wide hospital-based stroke registry prototype designed to measure and track the quality of acute stroke care. Weighted descriptive statistics for each racial group are reported for the following variables, which were deemed to be potential confounders of the association between race and the quality of stroke care: age, gender, insurance status, emergency medical services arrival, functional status on presentation, modified Rankin score at discharge, stroke subtype, neurologist involved in care, and stroke pathway utilization. The magnitude and significance of the associations between race and each quality indicator of in-hospital acute stroke care were determined by separate multiple logistic regression models, adjusting for all potential confounding variables. RESULTS: Among patients admitted with IS and TIA who were alive at discharge (n = 1,837), 340 (18.5%) were African American and 1497 (81.5%) were white. After multivariate analysis, African Americans were less likely to have a door-to-CT time of less than 25 minutes (odds ratio [OR] 0.13 [CI 0.049 to 0.32]), obtain cardiac monitoring (OR 0.54 [CI 0.29 to 1.03]), undergo dysphagia screening (OR 0.69 [CI 0.50 to 0.95]), and receive smoking cessation counseling (OR 0.27 [CI 0.17 to 0.42]). CONCLUSIONS: Quality of hospital care for African American and white patients with acute ischemic stroke and TIA was similar in many respects. However, African Americans were less likely to receive a CT within 25 minutes of arrival, cardiac monitoring, dysphagia screening, and smoking cessation counseling.
Authors: Eric M Cheng; Salomeh Keyhani; Susan Ofner; Linda S Williams; Paul L Hebert; Diana L Ordin; Dawn M Bravata Journal: Neurology Date: 2012-06-13 Impact factor: 9.910
Authors: Darin B Zahuranec; Lynda D Lisabeth; Jonggyu Baek; Eric E Adelman; Nelda M Garcia; Erin C Case; Morgan S Campbell; Lewis B Morgenstern Journal: J Health Dispar Res Pract Date: 2017
Authors: Sofia A Oluwole; Kefeng Wang; Chuanhui Dong; Maria A Ciliberti-Vargas; Carolina M Gutierrez; Li Yi; Jose G Romano; Enmanuel Perez; Brittany Ann Tyson; Maranatha Ayodele; Negar Asdaghi; Hannah Gardener; David Z Rose; Enid J Garcia; Juan Carlos Zevallos; Dianne Foster; Mary Robichaux; Salina P Waddy; Ralph L Sacco; Tatjana Rundek Journal: Stroke Date: 2017-07-13 Impact factor: 7.914
Authors: Kimberly D Martin; Lisa Naert; Larry B Goldstein; Stanislav Kasl; Annette M Molinaro; Judith H Lichtman Journal: J Stroke Cerebrovasc Dis Date: 2011-03-16 Impact factor: 2.136