An analysis of the costs of ischemic stroke in an Italian stroke unit

Neurology. 1999 Jul 13;53(1):112-6. doi: 10.1212/wnl.53.1.112.

Abstract

Objective: To determine the direct costs of hospital care of acute ischemic stroke in a large Italian hospital, and to identify the main components of such costs.

Background: Cost containment in stroke care requires an up-to-date assessment of expenditures in the different areas of stroke management. However, costs may vary among countries because of different health system organizations.

Methods: All patients with ischemic stroke admitted during 1996 were considered. Total cost was the sum of a daily component, reflecting personnel wages and general care, and an ancillary component, reflecting mostly investigations and treatments. The real costs were used, not fixed charges.

Results: We included 245 patients, with a mean length of stay (LOS) of 13.1+/-7.0 days, and an in-hospital case fatality rate of 8.2%. The mean total cost per patient was 5,087,000+/-2,536,000 Italian Lira (LIT; $3,289+/-$1,640), with a mean cost per day of 388,000 LIT ($251). Approximately 80% of total costs were due to the daily component and 20% to the ancillary component. A multiple linear regression model of length of stay, which determines the daily cost, showed that the Rankin score at entry, the clinical syndrome type, and the destination at discharge independently contributed to LOS. A second linear regression model showed that younger age and longer LOS significantly increased ancillary costs.

Conclusions: The containment of hospital costs of ischemic stroke may be achieved mostly through measures that reduce LOS, such as effective treatments and a quicker deployment.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Brain Ischemia / economics*
  • Brain Ischemia / therapy
  • Cerebrovascular Disorders / economics*
  • Cerebrovascular Disorders / therapy
  • Costs and Cost Analysis
  • Female
  • Hospital Bed Capacity, 500 and over / economics
  • Hospital Units / economics*
  • Humans
  • Italy
  • Length of Stay
  • Male
  • Middle Aged
  • Regression Analysis