scholarly journals Ways Forward in Preventing Severe Maternal Morbidity and Maternal Health Inequities: Conceptual Frameworks, Definitions, and Data, from a Population Health Perspective

Author(s):  
Suzan L. Carmichael ◽  
Barbara Abrams ◽  
Alison El Ayadi ◽  
Henry C. Lee ◽  
Can Liu ◽  
...  
2019 ◽  
Author(s):  
Natalie England ◽  
Julia Madill ◽  
Amy Metcalfe ◽  
Laura Magee ◽  
Stephanie Cooper ◽  
...  

2021 ◽  
Vol 224 (2) ◽  
pp. S257
Author(s):  
Ayesha SIDDIQUI ◽  
Catherine Deneux-Tharaux ◽  
Elizabeth Howell ◽  
Elie Azria

2021 ◽  
Vol 224 (2) ◽  
pp. S401-S402
Author(s):  
Marcela Smid ◽  
Amanda A. Allshouse ◽  
Kristine Campbell ◽  
Michelle P. Debbink ◽  
Adam G. Gordon ◽  
...  

Author(s):  
Jonathan M Snowden ◽  
Audrey Lyndon ◽  
Peiyi Kan ◽  
Alison El Ayadi ◽  
Elliott Main ◽  
...  

Abstract Severe maternal morbidity (SMM) is a composite outcome measure that indicates serious, potentially life-threatening maternal health problems. There is great interest in defining SMM using administrative data for surveillance and research. In the US, one common way of defining SMM at the population level is an index developed by the Centers for Disease Control and Prevention. Modifications have been proposed to this index (e.g., excluding maternal transfusion); some research defines SMM using an index introduced by Bateman et al. Birth certificate data are also increasingly being used to define SMM. We compared commonly used US definitions of SMM to each other among all California births, 2007-2012, using the Kappa statistic and other measures. We also evaluated agreement between maternal morbidity fields on the birth certificate compared to claims data. Concordance was generally low between the 7 definitions of SMM analyzed (i.e., κ < 0.4 for 13 of 21 two-way comparisons), Low concordance was particularly driven by presence/absence of transfusion and claims data versus birth certificate definitions. Low agreement between administrative data-based definitions of SMM highlights that results can be expected to differ between them. Further research is needed on validity of SMM definitions, using more fine-grained data sources.


2021 ◽  
Vol 224 (2) ◽  
pp. S33
Author(s):  
Benjamin J. Lengerich ◽  
Rich Caruana ◽  
William B. Weeks ◽  
Ian Painter ◽  
Sydney Spencer ◽  
...  

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