Impact of Language Barriers on Stroke Care and Outcomes

Author:

Shah Baiju R.1,Khan Nadia A.1,O’Donnell Martin J.1,Kapral Moira K.1

Affiliation:

1. From the Department of Medicine, University of Toronto, Ontario, Canada (B.R.S., M.K.K.); Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (B.R.S., M.K.K.); Department of Medicine, University of British Columbia, Vancouver, BC, Canada (N.A.K.); and Department of Medicine, National University of Ireland, Galway, Ireland (M.J.O.).

Abstract

Background and Purpose— Language barriers may lead to poor quality of care, particularly for conditions like acute stroke for which diagnosis and treatment decision making rely on taking an accurate patient history. The purpose of this study was to determine the impact of patient language barriers on quality of stroke care and clinical outcomes. Methods— This retrospective cohort study used data from the Registry of the Canadian Stroke Network. All Ontario patients who were admitted with acute stroke or transient ischemic attack between July 2003 and March 2008 were selected. Mortality, stroke outcomes, in-hospital complications, quality of care, and disposition were compared between those without (n=12 787) and with (n=1506) language barriers, which was defined based on the patient’s preferred language. Hierarchical multivariable regression models determined the effect of language barriers, independent of baseline covariates. Results— Patients with language barriers had better 7-day mortality than those without (7.0% versus 9.2%; OR, 0.69; 95% CI, 0.57–0.82; P <0.001). However, they were more likely to be discharged with a moderate-to-severe neurological deficit (65.9% versus 51.5%; OR, 1.25; 95% CI, 1.15–1.35). In-hospital complication rates did not differ, and quality of care indicators generally favored patients with language barriers. Conclusions— Patients who had language barriers had reduced mortality and better performance on some quality of care measures. These differences existed despite adjustment for many potential confounders, including ethnicity, prognostic factors, and stroke characteristics.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialised Nursing,Cardiology and Cardiovascular Medicine,Clinical Neurology

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