{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10"],"submitter":["Malhame I"],"pubmed_abstract":["<h4>Objective</h4>Obtaining data on events, processes, and circumstances leading to severe maternal morbidity (SMM) could enable targeted interventions to improve care. We aimed to assess the feasibility of gathering such data from across Canada through an Obstetric Survey System (CanOSS).<h4>Study design</h4>A nationwide survey.<h4>Methods</h4>We administered the electronic survey in French or English to birthing unit leads across all Canadian provinces and territories using REDCap. We presented pooled participation rates (95 % confidence intervals [CI]) across birthing units from lowest, medium, and highest tiers of service using Freeman-Tukey double arcsine transformations and common-effect models.<h4>Results</h4>Of the 289 birthing units across Canada, 167 (57.8 %) participated in the "],"journal":["Public health in practice (Oxford, England)"],"pagination":["100650"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12445713"],"repository":["biostudies-literature"],"pubmed_title":["Feasibility of establishing a Canadian Obstetric Survey System (CanOSS) for severe maternal morbidity: results of a nationwide survey."],"pmcid":["PMC12445713"],"pubmed_authors":["Scott H","Seymour RJ","Seedu T","Ahmed R","Murray-Davis B","Chundamala J","Barrett J","Lapinsky S","Ospina MB","Shah PS","Chen KK","Gehrke P","Van den Akker T","Thorne S","Skeith L","Beyene J","Dzakpasu S","Joseph KS","Knight M","Ashraf R","Fell D","Cook J","Malhame I","Hutchinson SA","D'Souza R","Metcalfe A"],"additional_accession":[]},"is_claimable":false,"name":"Feasibility of establishing a Canadian Obstetric Survey System (CanOSS) for severe maternal morbidity: results of a nationwide survey.","description":"<h4>Objective</h4>Obtaining data on events, processes, and circumstances leading to severe maternal morbidity (SMM) could enable targeted interventions to improve care. We aimed to assess the feasibility of gathering such data from across Canada through an Obstetric Survey System (CanOSS).<h4>Study design</h4>A nationwide survey.<h4>Methods</h4>We administered the electronic survey in French or English to birthing unit leads across all Canadian provinces and territories using REDCap. We presented pooled participation rates (95 % confidence intervals [CI]) across birthing units from lowest, medium, and highest tiers of service using Freeman-Tukey double arcsine transformations and common-effect models.<h4>Results</h4>Of the 289 birthing units across Canada, 167 (57.8 %) participated in the ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-03T15:37:50.376Z","creation":"2026-05-30T03:07:38.015Z"},"accession":"S-EPMC12445713","cross_references":{"pubmed":["40980463"],"doi":["10.1016/j.puhip.2025.100650"]}}