Effective coverage practice in Ethiopia

Abstract

Effective coverage measurement has emerged as a tool to help understand health system performance for the provision of high-quality health care. Using a cascade approach that combines data on demand- and supply-side steps, effective coverage measures highlight where gaps in the health system exist and how improvements might be made so that more people benefit from the potential of the health services available to them. In practice, however, there are challenges in making this work. This analysis paper aimed to highlight those challenges in calculating effective coverage in Ethiopia, using antenatal care as a test case, and propose a solution.In Ethiopia, government leaders are committed to taking a data-informed approach to improving health care quality. To support this, an effective coverage technical working group was formed of individuals with experience of effective coverage analysis in Ethiopia to share knowledge and create learning for a way forward.Through methods analysis of one common indicator, the effective coverage of antenatal care, four key challenges were identified by the group: (1) features of the data sources used, (2) the number of cascade steps included in the effective coverage calculations, (3) the data elements included within cascade steps and (4) the methods applied to generate composite indicators.Multiple small differences were observed to have an influence on the usability of effective coverage measures for decision-making. The group concluded that greater transparency in reporting effective coverage measures was urgently needed and proposed and discussed the use of a reporting checklist for this purpose.