Identification of racial/ethnic disparities associated with severe maternal morbidity using the Arkansas All‐Payer Claims Database (2013‐2017)-Reference-Cited by-同舟云学术

Identification of racial/ethnic disparities associated with severe maternal morbidity using the Arkansas All‐Payer Claims Database (2013‐2017)

Published:2022-06-07 Issue: Volume: Page:
ISSN:0730-7659
Container-title:Birth
language:en
Short-container-title:Birth

Author:

Rezaeiahari Mandana¹^ORCID,Brown Clare C.¹^ORCID,Ali Mir M.²^ORCID,Tilford J. Mick¹^ORCID,Magann Everett F.³

Affiliation:

1. Department of Health Policy and Management University of Arkansas for Medical Sciences Little Rock Arkansas USA

2. Institute for Digital Health & Innovation University of Arkansas for Medical Sciences Little Rock Arkansas USA

3. Department of Obstetrics & Gynecology University of Arkansas for Medical Sciences Little Rock Arkansas USA

Publisher

Wiley

Subject

Obstetrics and Gynecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/birt.12659

Reference23 articles.

1. Severe maternal morbidity surveillance: Monitoring pregnant women at high risk for prolonged hospitalisation and death

2. Division of reproductive health NC for CDP and HP.Severe maternal morbidity in the United States;2017.https://www.cdc.gov/reproductivehealth/maternalinfanthealth/severematernalmorbidity.html. Accessed March 12 2021.

3. Maternal near miss and potentially life-threatening condition determinants in patients with type 1 diabetes mellitus at a university hospital in São Paulo, Brazil: a retrospective study

4. Racial and ethnic disparities in severe maternal morbidity: a multistate analysis, 2008-2010

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