Your browser doesn't support javascript.
loading
Maternal Deaths Using Coroner's Data: A Latent Class Analysis.
Aflaki, Kayvan; Vigod, Simone N; Sprague, Ann E; Cook, Jocelynn; Berger, Howard; Aoyama, Kazuyoshi; Jhirad, Reuven; Ray, Joel G.
Afiliação
  • Aflaki K; Institute of Medical Science, University of Toronto, Toronto, Canada.
  • Vigod SN; Department of Psychiatry, Women's College Hospital, Toronto, Canada.
  • Sprague AE; Better Outcomes Registry and Network - Ontario, Ottawa, Canada.
  • Cook J; Society of Obstetricians and Gynecologists of Canada, Ottawa, Canada.
  • Berger H; Departments of Obstetrics and Gynaecology, St. Michael's Hospital, Toronto, Canada.
  • Aoyama K; Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
  • Jhirad R; Office of the Chief Coroner for Ontario/Ontario Forensic Pathology Service, Toronto, Canada.
  • Ray JG; Departments of Medicine and Obstetrics and Gynaecology, St. Michael's Hospital, Toronto, Canada. Electronic address: Joel.ray@unityhealth.to.
J Obstet Gynaecol Can ; 46(4): 102349, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38190888
ABSTRACT

OBJECTIVE:

Knowledge regarding the antecedent clinical and social factors associated with maternal death around the time of pregnancy is limited. This study identified distinct subgroups of maternal deaths using population-based coroner's data, and that may inform ongoing preventative initiatives.

METHODS:

A detailed review of coroner's death files was performed for all of Ontario, Canada, where there is a single reporting mechanism for maternal deaths. Deaths in pregnancy, or within 365 days thereafter, were identified within the Office of the Chief Coroner for Ontario database, 2004-2020. Variables related to the social and clinical circumstances surrounding the deaths were abstracted in a standardized manner from each death file, including demographics, forensic information, nature and cause of death, and antecedent health and health care factors. These variables were then entered into a latent class analysis (LCA) to identify distinct types of deaths.

RESULTS:

Among 273 deaths identified in the study period, LCA optimally identified three distinct subgroups, namely, (1) in-hospital deaths arising during birth or soon thereafter (52.7% of the sample); (2) accidents and unforeseen obstetric complications also resulting in infant demise (26.3%); and (3) out-of-hospital suicides occurring postpartum (21.0%). Physical injury (22.0%) was the leading cause of death, followed by hemorrhage (16.8%) and overdose (13.3%).

CONCLUSION:

Peri-pregnancy maternal deaths can be classified into three distinct sub-types, with somewhat differing causes. These findings may enhance clinical and policy development aimed at reducing pregnancy mortality.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 5_ODS3_mortalidade_materna Base de dados: MEDLINE Assunto principal: Mortalidade Materna / Médicos Legistas / Análise de Classes Latentes Tipo de estudo: Prognostic_studies Aspecto: Equity_inequality Limite: Adult / Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: J Obstet Gynaecol Can Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 5_ODS3_mortalidade_materna Base de dados: MEDLINE Assunto principal: Mortalidade Materna / Médicos Legistas / Análise de Classes Latentes Tipo de estudo: Prognostic_studies Aspecto: Equity_inequality Limite: Adult / Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: J Obstet Gynaecol Can Ano de publicação: 2024 Tipo de documento: Article