{"title":"Maternal and perinatal mortality: Geospatial analysis of inequality in pregnancy and perinatal mortality in Ethiopia.","authors":"Sisay Mulugeta Alemu, Gerd Weitkamp, Abera Kenay Tura, Kerry Lm Wong, Jelle Stekelenburg, Regien Biesma","doi":"10.1093/heapol/czae122","DOIUrl":null,"url":null,"abstract":"<p><p>While there is ample evidence of the overall reduction in perinatal and pregnancy-related mortality in Ethiopia, it remains uncertain if geographic disparities have diminished. This study aimed to investigate perinatal and pregnancy-related mortality spatial distributions, trends over time, and factors associated with the distribution in Ethiopia. We used data from Ethiopian Demographic and Health Surveys conducted in Ethiopia in 2000, 2005, 2011, and 2016. In each survey, around 15,500 women aged 15-49 were interviewed from about 550 neighborhoods randomly sampled from across the country. Perinatal and pregnancy-related mortality were used as outcome variables. We carried out Optimized Hotspot Analysis using the Getis-Ord Gi* statistic in ArcGIS Pro to identify the time trend of geographical clusters with high (hot spot) and low (cold spot) perinatal and pregnancy-related mortality. In addition, we conducted a Geographically Weighted Poisson Regression in R to examine the factors associated with the spatial distribution of perinatal and pregnancy-related mortality. Perinatal and pregnancy-related mortality exhibited a clustering pattern indicating the presence of geographic inequality, with a decreasing pattern from 2000 to 2016. We detected hotspot areas in developed administrative regions of Amhara, Oromia, and Southern Nations, indicating inequality within large regions. Inequality in perinatal mortality was associated with rural residence, younger age of women, and high birth rate, whereas pregnancy-related mortality was associated with low autonomy, younger age, and anemia. We found that anemia (p-value = 0.01) has a geographically varying relationship with perinatal mortality, while education (p-value = 0.03) and wealth (p-value = 0.01) with pregnancy-related mortality. While there has been a reduction during the study period, geographical disparities in perinatal and pregnancy-related mortality still persist. Therefore, targeting intervention programs in areas where spatial inequalities still persist is essential for effectively utilizing scarce resources.</p>","PeriodicalId":12926,"journal":{"name":"Health policy and planning","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health policy and planning","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/heapol/czae122","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
While there is ample evidence of the overall reduction in perinatal and pregnancy-related mortality in Ethiopia, it remains uncertain if geographic disparities have diminished. This study aimed to investigate perinatal and pregnancy-related mortality spatial distributions, trends over time, and factors associated with the distribution in Ethiopia. We used data from Ethiopian Demographic and Health Surveys conducted in Ethiopia in 2000, 2005, 2011, and 2016. In each survey, around 15,500 women aged 15-49 were interviewed from about 550 neighborhoods randomly sampled from across the country. Perinatal and pregnancy-related mortality were used as outcome variables. We carried out Optimized Hotspot Analysis using the Getis-Ord Gi* statistic in ArcGIS Pro to identify the time trend of geographical clusters with high (hot spot) and low (cold spot) perinatal and pregnancy-related mortality. In addition, we conducted a Geographically Weighted Poisson Regression in R to examine the factors associated with the spatial distribution of perinatal and pregnancy-related mortality. Perinatal and pregnancy-related mortality exhibited a clustering pattern indicating the presence of geographic inequality, with a decreasing pattern from 2000 to 2016. We detected hotspot areas in developed administrative regions of Amhara, Oromia, and Southern Nations, indicating inequality within large regions. Inequality in perinatal mortality was associated with rural residence, younger age of women, and high birth rate, whereas pregnancy-related mortality was associated with low autonomy, younger age, and anemia. We found that anemia (p-value = 0.01) has a geographically varying relationship with perinatal mortality, while education (p-value = 0.03) and wealth (p-value = 0.01) with pregnancy-related mortality. While there has been a reduction during the study period, geographical disparities in perinatal and pregnancy-related mortality still persist. Therefore, targeting intervention programs in areas where spatial inequalities still persist is essential for effectively utilizing scarce resources.
期刊介绍:
Health Policy and Planning publishes health policy and systems research focusing on low- and middle-income countries.
Our journal provides an international forum for publishing original and high-quality research that addresses questions pertinent to policy-makers, public health researchers and practitioners. Health Policy and Planning is published 10 times a year.