• Y Ma, Y Liu, H-M Fu, X-M Wang, B-H Wu, S-X Wang, and G-G Peng.
• Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong Department of Forensic Medicine, North Sichuan Medical College, Nanchong, P. R. China.
• Eur. J. Neurol. 2010 Oct 1; 17 (10): 1270-6.

Background And PurposeStroke is a heavy economic and health burden for the patients and society. This study aimed to evaluate hospital length of stay (LOS) by admission characteristics and costs correlated with medical insurance status for cerebral infarction in a medium-sized city in China.MethodsA total of 557 consecutive patients with principal diagnosis of cerebral infarction were enrolled. Admission characteristics, LOS, and costs were retrospectively analyzed.ResultsThe mean LOS was 18.5 days (median, 16 days). Our analysis demonstrated that medical insurance status, stroke severity (National Institutes of Health Stroke Scale score, Functional Independence Measure cognitive and motor score, Glasgow coma scale), Oxfordshire Community Stroke Project (OCSP) classification, some comorbidities (coronary heart disease, chronic obstructive pulmonary disease, and hyperlipemia), and raised leukocytes were the main explanatory factors for LOS by stepwise multiple regression model. The mean per patient costs were US $983.0, and mean daily costs US $67.0. Drugs were the most expensive cost subtype, all subtypes costs except non-medical care were significantly higher in patients with state medicine than in those with new cooperative medical scheme (NCMS) (P < 0.001).ConclusionStroke severity, OCSP classification, raised leukocytes on admission, some comorbidities, and medical insurance status may help to predict LOS for patients with cerebral infarction. Healthcare expenditures were heavy burdens to inhabitants. State medicine patients could shorten unnecessary LOS to improve the resources allocation and cost-efficiency.© 2010 The Author(s). European Journal of Neurology © 2010 EFNS.

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