Maternal Death Surveillance System Evaluation at Addis Ababa City Administration, Ethiopia, 2018

Abstract

Introduction: Public health surveillance is an ongoing, systematic collection, analysis, interpretation, and dissemination of data regarding a health-related event for use in public health. Maternal Death Surveillance and Response (MDSR) is form of continuous surveillance linking the health information system to quality improvement processes from local to national levels. Ethiopia has been implementing Maternal Death Surveillance and Response for the last four years. The aim of evaluating Maternal Death Surveillance and Response system at Addis Ababa City Administration was to evaluate the performance and identify gaps of existing system in city administration 2018. Methods: A descriptive cross-sectional study design was used to evaluate Maternal Death Surveillance and Response system at Addis Ababa City Administration, which was conducted from March 12-23/2018. Purposive sampling technique was used to select 13 study units. Primary data was collected using structured questionnaire and crosschecked with available documents. Data was analyzed using Microsoft Office Excel, 2016. Result: Only 67% of study units had appropriate denominator and the denominator at city level was 1168157 (34.6% of total population). All study units had maternal death review committee and the action threshold used by all study units was one maternal death. A total 52 maternal death notifications received by the region from Sept/2016 to Aug/2017, giving case detection rate of 13% of national plan for the city. All notifications were true maternal deaths. Cause of death identified for 50 (96.15%) of deaths and only findings from 7 (14%) deaths used for action. No separate budget was allocated for Maternal Death Surveillance and Response system at all levels. MDSR system implementation at private health facilities was almost neglected and overall average attribute measurement for the system was 63%. Conclusion: Maternal Death Surveillance and Response system establishment objectives will not be achieved by current level of implementation and detection. Data utilization and attributes value was very low. Lack of separate budget affects the system implementation.