Navigating severe maternal morbidity using big data: Green, yellow, and red flags for researchers
Author:
Affiliation:
1. University of Toronto, Toronto, ON, Canada
2. ICES, Toronto, ON, Canada
3. Departments of Medicine, and Obstetrics and Gynecology, St. Michael’s Hospital, Toronto, ON, University of Toronto, Toronto, ON, Canada
Publisher
SAGE Publications
Subject
Obstetrics and Gynecology
Link
http://journals.sagepub.com/doi/pdf/10.1177/1753495X19872880
Reference16 articles.
1. A global view of severe maternal morbidity: moving beyond maternal mortality
2. Severe Maternal Morbidity Among Delivery and Postpartum Hospitalizations in the United States
3. Use of Maternal Early Warning Trigger tool reduces maternal morbidity
4. Prevalence of Severe Maternal Morbidity and Factors Associated With Maternal Mortality in Ontario, Canada
5. Severe Maternal Morbidity Associated With Maternal Birthplace: A Population-Based Register Study
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Development and internal validation of a model predicting severe maternal morbidity using pre-conception and early pregnancy variables: a population-based study in Ontario, Canada;BMC Pregnancy and Childbirth;2021-10-06
2. Association Between Blunted Glomerular Hyperfiltration in Pregnancy and Severe Maternal Morbidity—A Research Letter;Canadian Journal of Kidney Health and Disease;2021-01
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