Thesis Open Access
Dr. ABDISSA DULA (MD, Internal Medicine Resident)
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Dr. ABDISSA DULA (MD, Internal Medicine Resident)</dc:creator> <dc:date>2026-06-10</dc:date> <dc:description>Background: Patients admitted to ICU often require and benefit from continuous observation, mechanical ventilation, hemodynamic support, and complex therapeutic interventions. ICU mortality is one of the major indicators used to assess ICU performance, quality of care, disease severity, and healthcare resource utilization. In resource-limited settings, the service provided to ICU patients is lagging far behind due to various reasons which resulted in high mortality of ICU patients. There is lack of evidence concerning the magnitude and associated factors of mortality among adult medical ICU patients in the study area. Methods: An institution-based cross-sectional study will be conducted at the intensive care units of Wallaga University Comprehensive Specialized Hospital during January 1, 2023 to December 31, 2025. A total of 259 adult medical patients’ charts will be selected. Data will be collected by using a structured, pretested data extraction sheets that assesses in-hospital mortality and associated factors as well as relevant sociodemographic and clinical variables. The collected data will be entered into Epi data version 4.6 and exported to SPSS version 27 for analysis. Descriptive statistics will be used to summarize patient characteristics. Frequencies and percentages will describe categorical variables, while means and standard deviations will be used for continuous variables. Bivariate logistic regression will be conducted to identify candidate variables (p < 0.25) for multivariable analysis. Multivariable logistic regression will then be employed to determine associated factors of ICU in- hospital mortality by Adjusted Odds Ratios (AOR) with 95% Confidence Intervals (CI) will be used to report the strength of associations, and statistical significance will be determined at a p value < 0.05.Results will be presented using texts, tables, and graphs. Work Plan and Budget: The study will require a total estimated budget of 31,809.8 Ethioipian Birr and will be carried out between January 1, 2023 to December 31, 2025. The source of funding will be Wallaga University.</dc:description> <dc:identifier>https://zenodo.org/record/25817</dc:identifier> <dc:identifier>10.20372/nadre:25817</dc:identifier> <dc:identifier>oai:zenodo.org:25817</dc:identifier> <dc:relation>doi:10.20372/nadre:25816</dc:relation> <dc:relation>url:https://nadre.ethernet.edu.et/communities/20-25</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:title>MAGNITUDE OF IN-HOSPITAL INTENSIVE CARE UNIT MORTALITY AND ASSOCIATED FACTORS AMONG ADULT MEDICAL PATIENTS ADMITTED TO THE INTENSIVE CARE UNIT AT WALLAGA UNIVERSITY COMPREHENSIVE SPECIALIZED HOSPITAL, NEKEMTE, WESTERN ETHIOPIA: AN INSTITUTION-BASED CROSS-SECTIONAL STUDY BETWEEN JANUARY 1, 2023 AND DECEMBER 31, 2025.</dc:title> <dc:type>info:eu-repo/semantics/doctoralThesis</dc:type> <dc:type>publication-thesis</dc:type> </oai_dc:dc>
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