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  1. Home
  2. Browse by Author

Browsing by Author "Teshome Beza"

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    Magnitude and Associated Risk Factors of Possible Fungal Infection among Hemato Oncology Patients With Neutropenia at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia
    (Addis Abeba University, 2021-10) Teshome Beza; Abebe Workeabeba; Hailu Daniel
    Background A fungal infection represents a growing problem i n children with hematologic mali gnancies duri ng chemotherapy-induced neutropenia. Objectives: This study ai med to evaluate the magnitude of possible fungal infection among hemato-oncologic children admitted to the hospital between 2017 and 2021 in TASH, Ethiopia. Methods: Institution-based retrospective cross-sectional study reviewed the charts of 256 neutropenic patients at Ti kurAnbessa specialized hospital. Required data were collected using a questionnaire. The data were entered i nto a computer usi ng Excel and exported to StatisticalPackage for Social Sciences Version 25 for analysis. Binary logistic regression analysis assessed predicting factors associated with a fungal infection, and p-value <0.05 was considered statistically signi ficant. Results: Among 256, 152 were males, and most of the patients were in the age range of 5-10 years. In this study, the magnitude of fungal infection among haemato-oncology neutropenic patients was 31%. Among those patients diagnosed with a possible fungal infection, 56 (72%)ALL patients, 6 (7.7%) AML patients and 15 (19%) of NHL patients. Age, duration, and severity of neutropenia and prolonged use of steroids are significantl y associated factors. Conclusion: Our fi nding suggests a high rate of fungal infections in neutropenic ALL and AML patients. These results help i mprove the management of these patients. However, fur ther studies are needed.
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    A Structure-Conduct-Performance Analysis of the Ethiopian Microfinance Industry
    (2014-06) Teshome Beza; Amha Wolday
    The main objectives of this study are to analyze the Structure-Conduct-Performance of the microfinance industry and measure the level of competition. In order to achieve these objectives, both descriptive and econometric analyses were carried out. In the econometric analysis, a three-stage-least-squares (3SLS) estimation method was used to estimate a model comprising two equations, each representing the structure and performance of the industry, for a sample of fifteen MFIs for years 2003 to 2011. From the descriptive analysis, it was found that there is no form of collusion among MFIs in terms of their pricing strategies and that the sector is concentrated, with regional-government backed MFIs dominating the industry. However, competition exists between MFIs and banks in terms of saving mobilization. The findings from the econometric analysis revealed that MFI size, capital structure, average loan size and financial self-sufficiency significantly affect the market share of MFIs. Furthermore, average loan size and cost per borrower were found to significantly affect the performance of MFIs, whereas market share and yield on gross portfolio were found to have an insignificant effect on the financial performance of MFIs. The findings imply that in the microfinance industry, performance of MFIs affects market structure, while the structure of the market has an insignificant effect on market performance

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