R
Roxanne Vrees
Researcher at Brown University
Publications - 14
Citations - 326
Roxanne Vrees is an academic researcher from Brown University. The author has contributed to research in topics: Pregnancy & Emergency department. The author has an hindex of 6, co-authored 12 publications receiving 231 citations. Previous affiliations of Roxanne Vrees include Duke University.
Papers
More filters
Journal ArticleDOI
Trauma in pregnancy: an updated systematic review
TL;DR: More studies are required to elucidate the safest and most cost-effective strategies for the management of trauma in pregnancy and to avoid underdiagnosis or undertreatment of trauma due to unfounded fears of fetal effects.
Journal ArticleDOI
Nonurgent and urgent emergency department use during pregnancy: an observational study
TL;DR: In this article, the authors identify sociodemographic factors associated with nonurgent emergency department use in pregnancy and develop strategies to decrease non-urgent ER utilization in pregnancy.
Journal ArticleDOI
Non-tubal Ectopic Pregnancies: Overview and Treatment via Local Injection.
TL;DR: A guide to the local injection of 1 of several agents directly into the ectopic pregnancy is provided, including an overview of the potential agents that can be used, and the diagnostic and specific ultrasound criteria, other possible treatment options, and overall outcomes for nontubal ectopic pregnancies are reviewed.
Journal ArticleDOI
Evaluation and Management of Female Victims of Sexual Assault.
TL;DR: This report focuses specifically on the immediate evaluation and management of adult female victims of sexual assault and best practices include the utility of the Sexual Assault Nurse Examiner and Sexual Assault Forensic Examiner programs, as well as standardized treatment protocols.
Journal ArticleDOI
Cardiovascular severe maternal morbidity in pregnant and postpartum women: development and internal validation of risk prediction models
Isabelle Malhamé,Isabelle Malhamé,Valery A. Danilack,Christina Raker,Erica J. Hardy,Hannah Spalding,Benjamin A. Bouvier,Heather Hurlburt,Roxanne Vrees,David A. Savitz,Niharika Mehta +10 more
TL;DR: The aim is to develop and internally validate risk prediction models identifying women at risk for cardiovascular severe maternal morbidity (CSMM) and validate these models for use in clinical practice.