Pregnant Women
OtherWe want to quantify Minority Americans at risk of pregnancy complications
NCT Number: NCT06145568
The purpose of this project is to evaluate maternal and infant outcomes based on race at UVA hospital. Health inequities are influenced by a combination of Social, Political, and Clinical determinants of health. Our hypothesis is that patients with minority status, particularly Black and Hispanic Americans, are more likely to have poor outcomes (based on various health metrics) compared to Non-Black, Non-Hispanic patients. We hypothesize further that it is likely not far off from national trends, which indicate that Black parturients are x4 more likely to die during childbirth, and Black children are 2.4x more likely to die before their first birthday than Non-Hispanic White children.
The EPIC database will be used on an institutional basis to obtain information and accessed by UVA statistician to perform the research described in this submission. The dataset does contain a few direct identifiers of medical record numbers, dates, and postal number. We anticipate that all statistical analysis will be performed at UVA by participating faculty/staff.
Trial opening soon.
Get NotifiedFemale
Observational
The purpose of this project is to evaluate maternal and infant outcomes based on race at UVA hospital. Health inequities are influenced by a combination of Social, Political, and Clinical determinants of health. Our hypothesis is that patients with minority status, particularly Black and Hispanic Americans, are more likely to have poor outcomes (based on various health metrics) compared to Non-Black, Non-Hispanic patients. We hypothesize further that it is likely not far off from national trends, which indicate that Black parturients are x4 more likely to die during childbirth, and Black children are 2.4x more likely to die before their first birthday than Non-Hispanic White children.
The EPIC database will be used on an institutional basis to obtain information and accessed by UVA statistician to perform the research described in this submission. The dataset does contain a few direct identifiers of medical record numbers, dates, and postal number. We anticipate that all statistical analysis will be performed at UVA by participating faculty/staff.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
We want to quantify Minority Americans at risk of pregnancy complications
Time frame: 10 years
Pregnancy complications as a function of minority status
Contact information is provided by the study sponsor or research team.
Emily Chuang, MA
CONTACT
Keita Ikeda, PhD
CONTACT
University of Virginia
Other
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