{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Whaley B"],"funding":["Bill &amp; Melinda Gates Foundation"],"pagination":["e057954"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8981352"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(4)"],"pubmed_abstract":["<h4>Objectives</h4>Globally, hundreds of women die daily from preventable pregnancy-related causes, with the greatest burden in sub-Saharan Africa. Five key emergencies-bleeding, infections, high blood pressure, delivery complications and unsafe abortions-account for nearly 75% of these obstetric deaths. Skilled clinicians with strategic supplies could prevent most deaths. In this study, we (1) measured facility readiness to manage common obstetric emergencies using the clinical cascades and signal function tracers; (2) compared these readiness estimates by facility characteristics; and (3) measured cascading drop-offs in resources.<h4>Design</h4>A facility-based cross-sectional analysis of resources for common obstetric emergencies.<h4>Setting</h4>Data were collected in 2016 from 23 hospi"],"journal":["BMJ open"],"pubmed_title":["Using clinical cascades to measure health facilities' obstetric emergency readiness: testing the cascade model using cross-sectional facility data in East Africa."],"pmcid":["PMC8981352"],"funding_grant_id":["OPP1107312"],"pubmed_authors":["Cranmer JN","Whaley B","Wanyoro A","Waiswa P","Butrick E","Sales JM","Walker D"],"additional_accession":[]},"is_claimable":false,"name":"Using clinical cascades to measure health facilities' obstetric emergency readiness: testing the cascade model using cross-sectional facility data in East Africa.","description":"<h4>Objectives</h4>Globally, hundreds of women die daily from preventable pregnancy-related causes, with the greatest burden in sub-Saharan Africa. Five key emergencies-bleeding, infections, high blood pressure, delivery complications and unsafe abortions-account for nearly 75% of these obstetric deaths. Skilled clinicians with strategic supplies could prevent most deaths. In this study, we (1) measured facility readiness to manage common obstetric emergencies using the clinical cascades and signal function tracers; (2) compared these readiness estimates by facility characteristics; and (3) measured cascading drop-offs in resources.<h4>Design</h4>A facility-based cross-sectional analysis of resources for common obstetric emergencies.<h4>Setting</h4>Data were collected in 2016 from 23 hospi","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2026-05-09T23:37:05.447Z","creation":"2025-05-18T12:06:18.617Z"},"accession":"S-EPMC8981352","cross_references":{"pubmed":["35379635"],"doi":["10.1136/bmjopen-2021-057954"]}}