{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T14:46:48Z","timestamp":1787496408121,"version":"build-2736575974"},"reference-count":52,"publisher":"BMJ","issue":"10","license":[{"start":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T00:00:00Z","timestamp":1603843200000},"content-version":"unspecified","delay-in-days":27,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2020,9,9]]},"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Although the rate of stillbirth has decreased globally, it remains unacceptably high in developing countries. Today, only 10 countries share the burden of more than 65% of the global rate of stillbirth and these include Ethiopia. Ethiopia ranks seventh in terms of high rate of stillbirths. Exploring the spatial distribution of stillbirth is critical to developing successful interventions and monitoring public health programmes. However, there is no study on the spatial distribution and the associated factors of stillbirth in Ethiopia. Therefore, this study aimed to explore the spatial distribution and the associated factors of stillbirth.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Secondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 11\u2009375 women were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify hotspot areas and ArcGIS V.10.6 to explore the spatial distribution of stillbirth. For associated factors, a multilevel binary logistic regression model was fitted using STATA V.14 software. Variables with a p value of less than 0.2 were considered for the multivariable multilevel analysis. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of stillbirth.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The spatial analysis showed that stillbirth has significant spatial variation across the country. The SaTScan analysis identified significant primary clusters of stillbirth in the Northeast Somali region (log likelihood ratio (LLR)=13.4, p&lt;0.001) and secondary clusters in the border area of Oromia and Amhara regions (LLR=8.8, p&lt;0.05). In the multilevel analysis, rural residence (AOR=4.83, 95%\u2009CI 1.44 to 16.19), primary education (AOR=0.39, 95%\u2009CI 0.20 to 0.74), no antenatal care (ANC) visit (AOR=2.77, 95%\u2009CI 1.70 to 4.51), caesarean delivery (AOR=5.07, 95%\u2009CI 1.65 to 15.58), birth interval &lt;24\u2009months (AOR=1.95, 95%\u2009CI 1.20 to 3.10) and height &lt;150\u2009cm (AOR=2.73, 95%\u2009CI 1.45 to 4.97) were significantly associated with stillbirth.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion and recommendation<\/jats:title>\n                    <jats:p>In Ethiopia, stillbirth had significant spatial variations across the country. Residence, maternal stature, preceding birth interval, caesarean delivery, education and ANC visit were significantly associated with stillbirth. Therefore, public health interventions that enhance maternal healthcare service utilisation and maternal education in hotspot areas of stillbirth are crucial to reducing stillbirth in Ethiopia.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2019-034562","type":"journal-article","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T18:16:04Z","timestamp":1603908964000},"page":"e034562","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":36,"title":["Spatial distribution of stillbirth and associated factors in Ethiopia: a spatial and multilevel analysis"],"prefix":"10.1136","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6812-1659","authenticated-orcid":false,"given":"Getayeneh Antehunegn","family":"Tesema","sequence":"first","affiliation":[{"name":"Epidemiology and Biostatistics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6418-7674","authenticated-orcid":false,"given":"Lemma Derseh","family":"Gezie","sequence":"additional","affiliation":[{"name":"Epidemiology and Biostatistics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Solomon Gedlu","family":"Nigatu","sequence":"additional","affiliation":[{"name":"Epidemiology and Biostatistics, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2020,10,28]]},"reference":[{"key":"2025101814434152000_10.10.e034562.1","unstructured":"World Health Organization . 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