Maternal early warning system (MEWS) model for predicting and reducing severe maternal outcomes in Ethiopia

dc.contributor.author	Saba Desta Tessema, Mesfin Tadese, Solomon Hailemeskel, Chaltu Takele Mule, Getaneh Dejen Tiche , Lidya Asalefew Mekonnen, Getnet Mitike Kassie
dc.date.accessioned	2026-09-15T06:29:19Z
dc.date.available	2026-09-15T06:29:19Z
dc.date.issued	2026-08-14
dc.identifier.citation	Tessema SD, Tadese M, Hailemeskel S, Mule CT, Tiche GD, Mekonnen LA, et al. (2026) Maternal early warning system (MEWS) model for predicting and reducing severe maternal outcomes in Ethiopia. PLoS One 21(8): e0356105.	en_US
dc.identifier.uri	https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0356105
dc.identifier.uri	http://repository.iphce.org/xmlui/handle/123456789/5433
dc.description.abstract	Maternal mortality in Ethiopia remains high, while most of these deaths are prevent-able. Early detection of deterioration and prompt response are essential to reduce these preventable deaths. The Maternal Early Warning System (MEWS) is a reliable clinical tool for this purpose. However, its effectiveness is under-explored and its bedside use is inconsistent. This study evaluated the MEWS model for predicting and reducing severe maternal outcomes.	en_US
dc.language.iso	en	en_US
dc.publisher	PLOS One	en_US
dc.subject	Maternal health	en_US
dc.title	Maternal early warning system (MEWS) model for predicting and reducing severe maternal outcomes in Ethiopia	en_US
dc.type	Article	en_US