Literature DB >> 9626277

Clinical efficiency tools improve stroke management in a rural southern health system.

S D Newell1, J Englert, A Box-Taylor, K M Davis, K E Koch.   

Abstract

BACKGROUND AND
PURPOSE: Ischemic stroke is a high-volume and financially draining diagnosis at this rural health system. The purpose of this clinical practice analysis was to identify resource utilization and clinical process inefficiencies and to promote clinically efficient, evidence-based improvements.
METHODS: A retrospective analysis of medical record and financial databases of 356 patients with ischemic stroke was performed. The medical record data were adjusted for severity, and outliers were eliminated. The resources utilized by each physician were determined. Comparative graphs were prepared, presented, and discussed. The physicians implemented two types of changes: (1) alteration of resource utilization and consultation patterns and (2) support of clinical process improvement. In 1997, a follow-up analysis of 399 patients was performed.
RESULTS: The initial comparison of internists' to neurologists' patient populations found the following: patient age (75 versus 65 years), patient severity ratings (2.8 versus 2.5), length of stay (10.7 versus 8.8 days), costs ($7360 versus $6862), mortality rates (12.5% versus 8.9%), and aspiration pneumonia rate (8.5% versus 3.8%). A comparison of the 1995 analysis to the 1997 analysis revealed the following per patient resource utilization decreases (all P < 0.05): chemistry laboratory, 2.65 to 1.95 studies; intravenous fluids, 2.85 to 1.85 L; oxygen use, 6.06 to 2.75 U; and nifedipine use, 1.62 to 0.33 capsules. The clinical process improvements resulted in the following overall outcomes (all P < 0.05 except mortality): length of stay (7.2 days), nonadjusted costs ($6246), mortality (6.5%), and rates of pneumonia (2.7%).
CONCLUSIONS: Objective analysis of resource utilization resulted in physicians changing their individual management of stroke and collectively supporting clinical process changes that improved clinical and financial outcomes.

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Year:  1998        PMID: 9626277     DOI: 10.1161/01.str.29.6.1092

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  2 in total

Review 1.  Treatment of lipid disorders after stroke.

Authors:  Joao A Gomes; Sander J Robins; Viken L Babikian
Journal:  Curr Atheroscler Rep       Date:  2002-07       Impact factor: 5.113

Review 2.  Post-stroke infection: a systematic review and meta-analysis.

Authors:  Willeke F Westendorp; Paul J Nederkoorn; Jan-Dirk Vermeij; Marcel G Dijkgraaf; Diederik van de Beek
Journal:  BMC Neurol       Date:  2011-09-20       Impact factor: 2.474

  2 in total

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