Results of a computerized screening of stroke patients for unjustified hospital stay

• Published in: Stroke (1970) Vol. 27; no. 4; pp. 639 - 644
• Main Authors: GOLDMAN, R. S, HARTZ, A. J, LANSKA, D. J, GUSE, C. E
• Format: Conference Proceeding Journal Article
• Language: English
• Published: Hagerstown, MD Lippincott Williams & Wilkins 01.04.1996; American Heart Association, Inc
• Subjects: Algorithms; Biological and medical sciences; Brain Ischemia - therapy; Cerebral Arterial Diseases - therapy; Cerebrovascular Disorders - therapy; Computers; Female; Hospitals, University; Hospitals, Voluntary; Humans; Intracranial Embolism and Thrombosis - therapy; Length of Stay; Male; Medical Records; Medical sciences; Middle Aged; Neurology; Patient Discharge; Reproducibility of Results; Vascular diseases and vascular malformations of the nervous system; Wisconsin; Wisconsin; Human; Nervous system diseases; Stroke; Cardiovascular disease; Duration; Hospitalization; Care; Cerebral disorder; Vascular disease; Quality; Central nervous system disease; Justification; Cerebrovascular disease; Computer aid
• DOI: 10.1161/01.STR.27.4.639
• ISSN: 0039-2499

Effective methods to monitor length of stay can help reduce unnecessary hospital stay without adversely affecting the quality of care. In this study a clinical algorithm for assessing unjustified hospital stay in stroke patients was computerized and tested. An algorithm was developed by the authors to estimate the number of medically justified and unjustified hospital days for patients admitted with a primary diagnosis of ischemic stroke. Data for the algorithm were obtained from 177 stroke patients from an acute-care teaching hospital. The performance of the algorithm was evaluated on a subset of 46 patients by comparing the number of medically unjustified hospital days determined by the algorithm with the consensus determination of two neurologists. The algorithm classified 68% of the 177 patients as having some unjustified hospital days and 41% of all hospital days as unjustified. With the neurologists as the gold standard, the sensitivity of the algorithm was .89 and the specificity was .91. The correlation between the number of unjustified days determined by the algorithm and the neurologists was .76. There is considerable unjustified length of stay for stroke patients. Physicians can develop simple clinical algorithms for detecting unjustified hospital stay in stroke patients that provide a reasonable approximation of complex clinical judgment.