Using Longitudinally Linked Data to Measure Severe Maternal Morbidity Beyond the Birth Hospitalization in California
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Obstetrics and Gynecology
Reference7 articles.
1. Using longitudinally linked data to measure severe maternal morbidity;Declercq;Obstet Gynecol,2022
2. Measuring severe maternal morbidity: validation of potential measures;Main;Am J Obstet Gynecol,2016
3. Ways forward in preventing severe maternal morbidity and maternal health inequities: conceptual frameworks, definitions, and data, from a population health perspective;Carmichael;Womens Health Issues,2022
4. Rate and causes of severe maternal morbidity at readmission: California births in 2008-2012;Girsen;J Perinatol,2020
5. Hospital readmission following delivery with and without severe maternal morbidity;Black;J Womens Health (Larchmt),2021
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2. A Prediction Model for Severe Maternal Morbidity and Mortality After Delivery Hospitalization;Obstetrics & Gynecology;2023-08-03
3. Association of Sickle Cell Disease With Racial Disparities and Severe Maternal Morbidities in Black Individuals;JAMA Pediatrics;2023-08-01
4. Linked birth cohort files for perinatal health research: California as a model for methodology and implementation;Annals of Epidemiology;2023-03
5. Association of Sickle Cell Disease With Severe Maternal Morbidity;Obstetrics & Gynecology;2022-11-30
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