Use of algorithm in healthy women with acute uncomplicated cystitis: cost and outcome

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Title Use of algorithm in healthy women with acute uncomplicated cystitis: cost and outcome
Publication Type thesis
School or College College of Nursing
Department Nursing
Author Lobsiger, Jacqueline Angela
Date 1998-03
Description Few studies have been performed to consider the effects of algorithm use on both cost reduction and clinical outcomes. This study evaluated the use of an evidenced-based algorithm and data collection sheet in 64 females with acute cystitis. The study was a descriptive retrospective study, which took place in a university student health clinic. Charts were reviewed prior to the implementation of the algorithm and compared with charts after the algorithm was implemented. Outcome was determined by treatment failure. Information collected from clients was also compared. Descriptive statistics were used for analysis. Significant savings were noted in the postalgorithm group with p value = 0.001. Failure was statistically greater in the postalgorithm group, demonstrating a p value of 0.023. This unexpected finding suggested that algorithm use can decrease patient charges, but also showed that algorithms should be reviewed and constantly updated to prevent adverse clinical outcome.
Type Text
Publisher University of Utah
Subject Statistics
Subject MESH Cystitis; Outcome Assessment (Health Care)
Dissertation Institution University of Utah
Dissertation Name MS
Language eng
Relation is Version of Digital reproduction of "Use of algorithm in healthy women with acute uncomplicated cystitis: cost and outcome". Spencer S. Eccles Health Sciences Library. Print version of "Use of algorithm in healthy women with acute uncomplicated cystitis: cost and outcome". available at J. Willard Marriott Library Special Collection. RG41.5 1998 .L63.
Rights Management © Jacqueline Angela Lobsiger.
Format application/pdf
Format Medium application/pdf
Format Extent 924,714 bytes
Identifier undthes,4498
Source Original: University of Utah Spencer S. Eccles Health Sciences Library (no longer available).
Master File Extent 924,759 bytes
ARK ark:/87278/s6t43w07
Setname ir_etd
ID 191870
Reference URL https://collections.lib.utah.edu/ark:/87278/s6t43w07
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