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Cited by 55

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Black Maternal Mortality-The Elephant in the Room

Lister, Rolanda L·2019·World Journal of Gynecology & Womens Health

Abstract

Maternal mortality is on the rise in the United States and it disproportionately affects black women. The reasons for this staggering discrepancy hinge on three central issues: First, black women are more likely to have pre-existing cardiovascular morbidity that increase the risk of maternal mortality. Second, black women are more likely to experience adverse pregnancy outcomes which puts them at risk for developing long-term cardiovascular disease. Third, racial bias of providers and perceived racial discrimination from patients (the elephant in the room) impacts black patients' trust in their providers and the medical community at large. Reducing black maternal mortality involves a multi-tiered approach involving the patient, provider and public health policy.

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Research works printed but not linked: 2

  1. [1]Davis MB, Walsh MN (2019) Cardio-Obstetrics. Circ Cardiovasc Qual Outcomes 12(2): e005417. 30773028
  2. [24]Mounier-Vehier C, Madika AL, Boudghene-Stambouli F, Ledieu G, Delsart P, (2016) [Hypertension in pregnancy and future maternal health]. Presse Med 45 (7–8 Pt 1): 659– 666. 27402295

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Metadata

Authors
Lister, R. L.
Venue
World Journal of Gynecology & Womens Health
Published
2019-11-22
Volume
3
Issue
1
ISSN
2641-6247
Cited by
55
References
24

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CoChat. (2026). Citation check: Black Maternal Mortality-The Elephant in the Room. https://app.cochat.ai/papers/10.33552/wjgwh.2019.03.000555
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Lister, R. L. (2019). Black Maternal Mortality-The Elephant in the Room. World Journal of Gynecology & Womens Health. https://doi.org/10.33552/wjgwh.2019.03.000555

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.