Developing new prognostic models for predicting outcomes in severe traumatic brain injury
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Kwankaew Wongchareon, PhD, MSN, RN
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Abstract
Globally, the annual incidence rate of traumatic brain injury (TBI) in all ages is 349 per 100,000 person-years. The incidence of TBI varies across regions, populations, regulations, and health systems; but in general, the rate is expected to be higher in low and middle-income countries (LMICs). As LMICs usually have poor pre-hospital care, delays in patient transfer, lack of facilities and well-trained staff; these make the burden of TBI more devastating and a pressing public health issue. In this dissertation, we focused on several approaches to determine the value of prognostic research in adult patients with severe TBI, test model feasibility and develop new prediction models for TBI population in LMICs, specifically in terms of predicting mortality and functional outcome.
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 13900394; ProQuest document ID: 2309795237. The author still retains copyright.
Repository Posting Date
2021-09-03T12:44:57Z
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This item has not gone through this repository's peer-review process, but has been accepted by the indicated university or college in partial fulfillment of the requirements for the specified degree.
Type Information
Type | Dissertation |
Acquisition | Proxy-submission |
Review Type | None: Degree-based Submission |
Format | Text-based Document |
Category Information
Evidence Level | Cohort |
Research Approach | Quantitative Research |
Keywords | Acute Care; Brain Injury; External Validation; Low and Middle-Income Countries; Prognostic Model |
Degree Information
Grantor | University of Washington |
Advisor | Thompson, Hilaire; Mitchell, Pamela H.; Temkin, Nancy; Ebel, Beth E. |
Level | PhD |
Year | 2019 |
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