September 1, 2018 Thesis Open Access

Addisu Getie (B.Pharm)

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    "description": "<p>Medical equipment are essential for a functioning health system. Medical equipment in<br>\nparticular are crucial in the prevention, diagnosis, and treatment of illness and disease, as well<br>\nas patient rehabilitation. The objective of this study is to analyse the medical equipment supply<br>\nchain management of public hospitals under Addis Ababa Regional Health Bureau. Both<br>\nquantitative and qualitative approaches are used in an explanatory and descriptive research<br>\ndesign. A total of 339 samples were taken from 2231 population. Across sectional data was<br>\ncollected using Simple random sampling and purposive sampling methods for quantitative and<br>\nqualitative data collection respectively. Structured questionnaires and open ended interview<br>\nquestions are used as a tool for data collection. The data were analysed using both descriptive<br>\nand inferential statistical tools. Moreover, the result was described using mean, frequency and<br>\nstandard deviation, and the researcher was also applied parametric statistical test<br>\n(correlations, and regression analysis (Simple, multiple)) to interpret and analyze the data,<br>\nusing Statistical Package for Social Science version 21.The findings showed that the efficiency<br>\nof medical equipment supply chain management in public hospitals is found to be strongly<br>\naffected by the procurement, inventory, transportation and warehouse management practices.<br>\nMajority of respondents disagree for having good procurement, inventory, transportation and<br>\nwarehouse management in public hospitals under Addis Ababa Regional Health Bureau. From<br>\nthe overall findings we can conclude that medical equipment supply chain management<br>\npractices of public hospitals under Addis Ababa Regional Health Bureau is inefficient which<br>\nwill contribute for not giving quality health service. This is mainly due to poor practices in the<br>\nprocurement, inventory, transportation and warehouse management. From the findings of the<br>\nstudy 44.5 percent of the variance in efficiency of medical equipment supply chain was<br>\nexplained by the variance of explanatory variables, while the rest 55.5 percent was contributed<br>\nby other factors that were not included in the model.</p>", 
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    "title": "ANALYSIS OF MEDICAL EQUIPMENT SUPPLY CHAIN MANAGEMENT OF PUBLIC HOSPITALS UNDER THE ADDIS ABABA REGIONAL HEALTH BUREAU", 
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