title: Effect of a stroke protocol on hospital costs of stroke patients.
abstract: OBJECTIVE
  To determine the impact of a protocol on hospitalization costs for patients admitted with stroke.
  
  
  METHODS
  Nonrandomized control trial in an urban community hospital with 376 beds.
  
  
  METHODS
  All patients admitted with a diagnosis-related group code of 014 (cerebrovascular disease) were included (N = 390). Patients with subdural hematoma (N = 2) or subarachnoid hemorrhage (N = 2) were excluded.
  
  
  METHODS
  A protocol for treatment of acute stroke was developed that included a critical path for nursing care, an algorithm for emergency department care, and suggested admission orders for physicians.
  
  
  METHODS
  The hospital information system computer database was searched for hospitalization charges, length of stay, tests performed, and treatments provided.
  
  
  RESULTS
  Patients treated with the protocol had lower charges compared with historical (p = 0.026) and concurrent (p = 0.02) control groups. Lower charges were accounted for by a decreased length of stay in the protocol group compared with historical (p = 0.001) and concurrent (p = 0.13) controls. Tests and treatments provided were similar except that carotid Doppler studies and deep venous thrombosis prophylaxis were more frequently done in those treated with the protocol (p = 0.001 for carotid Doppler and p = 0.026 for deep venous thrombosis prophylaxis). There were no differences in outcome measures such as death or discharge disposition. Medical complications were similar in all groups.
  
  
  CONCLUSIONS
  There were significant savings in hospitalization cost for patients with acute stroke after introduction of a treatment protocol. These savings were almost entirely related to decreased length of stay. The protocol led to modest differences in tests ordered and treatments provided.
authors.affiliation: Department of Medicine, Pacific Medical Center, Seattle, WA.
authors.forename: J
authors.initials: J
authors.lastname: Bowen
authors.forename: C
authors.initials: C
authors.lastname: Yaste
mesh_terms: D000208:Acute Disease; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002561:Cerebrovascular Disorders / Q000175:diagnosis / Q000191:economics*; D002985:Clinical Protocols; D003363:Cost Control / Q000379:methods; D003422:Critical Care / Q000191:economics; D003953:Diagnosis-Related Groups; D005260:Female; D017722:Hospital Charges; D017721:Hospital Costs; D006764:Hospitals, Community / Q000191:economics; D006786:Hospitals, Urban / Q000191:economics; D006801:Humans; D007902:Length of Stay / Q000191:economics; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D014861:Washington