Charles Ellis1, Rebecca G Knapp, Gregory E Gilbert, Leonard E Egede. 1. VA Center for Disease Prevention and Health Interventions for Diverse Populations, Ralph H. Johnson VA Medical Center, Charleston, South Carolina; Department of Health Sciences & Research, Medical University of South Carolina, Charleston, South Carolina. Electronic address: ellisc@musc.edu.
Abstract
BACKGROUND: Our objective was to examine the association between delay in seeking treatment (DST) for stroke care and demographic and clinical characteristics variables in a sample of veterans. METHODS: We used survey data from 100 veterans with a diagnosis of stroke who were receiving poststroke care at a Veterans Affairs (VA) Medical Center in the southeastern United States to evaluate the relationship between DST and key sample demographic and clinical characteristics. We used backward stepwise logistic regression models to assess the independent association between DST and demographic and clinical variables. RESULTS: We found that stroke survivors reporting DST were more likely to be black (56.4% versus 32.8%; P = .02) and younger at the time of stroke onset (58.1 years versus 63.7 years; P = .02). In backward stepwise logistic regression models, being black was an independent predictor of DST (odds ratio [OR] 2.76; 95% confidence interval [CI], 1.04-7.30; P = .04) in this veteran population. CONCLUSIONS: Race appears to be a key factor associated with an increased likelihood of delays in seeking urgent stroke care in veterans. Future studies need to further examine the complex sociodemographic profile of patients who are most likely to delay seeking care for stroke and to develop interventions to reduce the impact of DST.
BACKGROUND: Our objective was to examine the association between delay in seeking treatment (DST) for stroke care and demographic and clinical characteristics variables in a sample of veterans. METHODS: We used survey data from 100 veterans with a diagnosis of stroke who were receiving poststroke care at a Veterans Affairs (VA) Medical Center in the southeastern United States to evaluate the relationship between DST and key sample demographic and clinical characteristics. We used backward stepwise logistic regression models to assess the independent association between DST and demographic and clinical variables. RESULTS: We found that stroke survivors reporting DST were more likely to be black (56.4% versus 32.8%; P = .02) and younger at the time of stroke onset (58.1 years versus 63.7 years; P = .02). In backward stepwise logistic regression models, being black was an independent predictor of DST (odds ratio [OR] 2.76; 95% confidence interval [CI], 1.04-7.30; P = .04) in this veteran population. CONCLUSIONS: Race appears to be a key factor associated with an increased likelihood of delays in seeking urgent stroke care in veterans. Future studies need to further examine the complex sociodemographic profile of patients who are most likely to delay seeking care for stroke and to develop interventions to reduce the impact of DST.