Spatial patterns of maternal health service utilization and - PowerPoint PPT Presentation

Spatial patterns of maternal health service utilization and determinant factors in Ethiopia Teketo Tegegne 1

Maternal health service use in Ethiopia Teketo Tegegne 2

Maternal health service use … Teketo Tegegne 3

Significance of the study  Distribution of health facilities versus population  Are the health facilities constructed based on equity & equality?  Where are the existing health facilities located in relation to the population?  Which communities and health facilities need special attention?  Where should the government expend more money?  Spatial analysis  ‘ What is where’ on the Earth’s surface?  Informed decision making  Monitoring & Evaluation  Advocacy & awareness creation Teketo Tegegne 4

Aim – To identify the spatial patterns of maternal health service utilization and its determinant factors in Ethiopia  Objectives  To assess the spatial patterns of modern contraceptive use and its determinant factors in Ethiopia  To assess the spatial patterns of antenatal care use and its determinant factors in Ethiopia  To assess the spatial patterns of institutional delivery and its determinant factors in Ethiopia  To assess the spatial patterns of caesarean delivery use and its determinant factors in Ethiopia Teketo Tegegne 5

Method – Data sources Ethiopia Demographic and Health Survey Ethiopia Service Provision Assessment Plus ( EDHS , 2016) ( ESPA +, 2014) Population survey data: multi-stage Health facility survey data: census & simple stratified sampling technique random sampling technique Population characteristics Service availability Health service use Service readiness (general & service specific) Geographic location Geographic location 645 census enumeration areas (EAs) 15,683 reproductive age women 1165 health facilities Teketo Tegegne 6

Method – Data linking and statistical analysis  Data linking:  Administrative boundary link  Euclidean buffer link  Statistical analysis:  Spatial statistics (ArcGIS) • Spatial autocorrelation • Hot spot analysis  Multilevel analysis (SAS 9.4) • Hierarchical Generalized Linear Model - PROC GLIMMIX Teketo Tegegne 7

Thank you Teketo Tegegne 8