Developing and validating multivariable prediction models for predicting the risk of 7-day neonatal readmission following vaginal and cesarean birth using administrative databases-Reference-Cited by-同舟云学术

Developing and validating multivariable prediction models for predicting the risk of 7-day neonatal readmission following vaginal and cesarean birth using administrative databases

Published:2020-12-20 Issue: Volume: Page:1-8
ISSN:1476-7058
Container-title:The Journal of Maternal-Fetal & Neonatal Medicine
language:en
Short-container-title:The Journal of Maternal-Fetal & Neonatal Medicine

Author:

Lee Sangmin¹^ORCID,O’Sullivan Dylan E.²,Brenner Darren R.¹³,Metcalfe Amy¹⁴⁵^ORCID

Affiliation:

1. Department of Community Health Sciences, University of Calgary, Calgary, Canada

2. Department of Public Health Sciences, Queen’s University, Kingston, Canada

3. Department of Oncology, University of Calgary, Calgary, Canada

4. Department of Obstetrics & Gynaecology, University of Calgary, Calgary, Canada

5. Department of Medicine, University of Calgary, Calgary, Canada

Publisher

Informa UK Limited

Subject

Obstetrics and Gynaecology,Pediatrics, Perinatology, and Child Health

Link

https://www.tandfonline.com/doi/pdf/10.1080/14767058.2020.1860933

Reference40 articles.

1. Preventability of Early Readmissions at a Children’s Hospital

2. Early Discharge of Alberta Mothers Post-delivery and the Relationship to Potentially Preventable Newborn Readmissions

3. Proportion of neonatal readmission attributed to length of stay for childbirth: a population-based cohort study

4. Postpartum Maternal and Newborn Discharge

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