ANALYSIS OF MEDICAL EQUIPMENT SUPPLY CHAIN MANAGEMENT OF PUBLIC HOSPITALS UNDER THE ADDIS ABABA REGIONAL HEALTH BUREAU

Medical equipment are essential for a functioning health system. Medical equipment in
particular are crucial in the prevention, diagnosis, and treatment of illness and disease, as well
as patient rehabilitation. The objective of this study is to analyse the medical equipment supply
chain management of public hospitals under Addis Ababa Regional Health Bureau. Both
quantitative and qualitative approaches are used in an explanatory and descriptive research
design. A total of 339 samples were taken from 2231 population. Across sectional data was
collected using Simple random sampling and purposive sampling methods for quantitative and
qualitative data collection respectively. Structured questionnaires and open ended interview
questions are used as a tool for data collection. The data were analysed using both descriptive
and inferential statistical tools. Moreover, the result was described using mean, frequency and
standard deviation, and the researcher was also applied parametric statistical test
(correlations, and regression analysis (Simple, multiple)) to interpret and analyze the data,
using Statistical Package for Social Science version 21.The findings showed that the efficiency
of medical equipment supply chain management in public hospitals is found to be strongly
affected by the procurement, inventory, transportation and warehouse management practices.
Majority of respondents disagree for having good procurement, inventory, transportation and
warehouse management in public hospitals under Addis Ababa Regional Health Bureau. From
the overall findings we can conclude that medical equipment supply chain management
practices of public hospitals under Addis Ababa Regional Health Bureau is inefficient which
will contribute for not giving quality health service. This is mainly due to poor practices in the
procurement, inventory, transportation and warehouse management. From the findings of the
study 44.5 percent of the variance in efficiency of medical equipment supply chain was
explained by the variance of explanatory variables, while the rest 55.5 percent was contributed
by other factors that were not included in the model.