The Use of Injury Severity Scoring Systems to Predict Treatment Processes, Costs, and Outcomes of Spinal Trauma Patients in New Zealand

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Dinushi_Kulasekere_Final_Thesis.pdf (444.61 KB)

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2018-05

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The Ohio State University

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Abstract

Using a multivariate linear regression approach, I examine the predictive value of retroactive injury severity scoring systems that are currently used as classification tools in trauma research. Understanding the potential impact of data gathered through specific scoring systems and how it can be used to better understand costs and outcomes, with a focus on New Zealand's spinal injury severity classification systems, is a new area of analysis. This paper introduces a novel understanding of the Abbreviated Injury Scale, and its ability to predict a variety of process and outcome variables related to spinal trauma care. Additionally, I make use of the unique cost structures in New Zealand to evaluate the predictive ability of the Injury Severity Score on cost and find a significant result.

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Econometric analysis of healthcare

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http://hdl.handle.net/1811/84870

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Arts and Sciences Undergraduate Research Theses and Honors Research Theses