{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["D'Souza R"],"funding":["Canadian Institutes of Health Research"],"pagination":["e061093"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8943762"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(3)"],"pubmed_abstract":["<h4>Introduction</h4>Severe maternal morbidity (SMM)-an unexpected pregnancy-associated maternal outcome resulting in severe illness, prolonged hospitalisation or long-term disability-is recognised by many, as the preferred indicator of the quality of maternity care, especially in high-income countries. Obtaining comprehensive details on events and circumstances leading to SMM, obtained through maternity units, could complement data from large epidemiological studies and enable targeted interventions to improve maternal health. The aim of this study is to assess the feasibility of gathering such data from maternity units across Canadian provinces and territories, with the goal of establishing a national obstetric survey system for SMM in Canada.<h4>Methods and analysis</h4>We propose a seq"],"journal":["BMJ open"],"pubmed_title":["Feasibility of establishing a Canadian Obstetric Survey System (CanOSS) for severe maternal morbidity: a study protocol."],"pmcid":["PMC8943762"],"funding_grant_id":["2021-04-PJT-178277"],"pubmed_authors":["Scott H","Seymour RJ","Ospina MB","Shah P","Chen KK","Fell DB","Thorne S","Skeith L","Dzakpasu S","Murray-Davis B","Joseph KS","Knight M","Chundamala J","Cook J","Ashraf R","Malhame I","Hutchinson SA","D'Souza R","Barrett J","van den Akker T","Metcalfe A","Lapinsky S","Forte M"],"additional_accession":[]},"is_claimable":false,"name":"Feasibility of establishing a Canadian Obstetric Survey System (CanOSS) for severe maternal morbidity: a study protocol.","description":"<h4>Introduction</h4>Severe maternal morbidity (SMM)-an unexpected pregnancy-associated maternal outcome resulting in severe illness, prolonged hospitalisation or long-term disability-is recognised by many, as the preferred indicator of the quality of maternity care, especially in high-income countries. Obtaining comprehensive details on events and circumstances leading to SMM, obtained through maternity units, could complement data from large epidemiological studies and enable targeted interventions to improve maternal health. The aim of this study is to assess the feasibility of gathering such data from maternity units across Canadian provinces and territories, with the goal of establishing a national obstetric survey system for SMM in Canada.<h4>Methods and analysis</h4>We propose a seq","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-05T14:43:07.195Z","creation":"2025-04-05T14:43:07.195Z"},"accession":"S-EPMC8943762","cross_references":{"pubmed":["35321901"],"doi":["10.1136/bmjopen-2022-061093"]}}