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Anemia In Pregnancy: Examining Missed Diagnoses and Racial Disparities in the Upper Midwest
Tess L Weber1, Aarabhi Gurumoorthy1, Kari A Bates1
1Behavioral Sciences Group, Sanford Research, Sioux Falls, South Dakota.
Anemia in pregnancy (AIP) is associated with poor maternal/fetal outcomes. The prevalence of AIP globally ranges from 44-53% and varies drastically depending on maternal race/ethnicity and other factors. Screening and treatment of AIP is disputed. This study is a retrospective review of electronic medical records (EMR) of pregnant adults over three years (2018-2020, inclusive) of Sanford Health, a large healthcare system in the upper Midwest. AIP was determined by either diagnosis or lab values (hemoglobin, hematocrit, and ferritin) overlapping with pregnancy. A missed diagnosis was characterized by confirmed anemia through lab values but lacking a diagnosis of anemia within EMR. A total of 35,498 patients were included in this study, 42.9% were determined to have AIP. Of AI/AN (American Indian/Alaska Native) patients, 58.3% were anemic and 55.1% of Black/African American patients were anemic compared to 40.0% of anemic white patients. Of anemic patients, 81.1% did not have an anemia diagnosis listed in EMR. This study identifies racial and ethnic disparities of AIP among patients in the upper Midwest. In addition, this study highlights the need for improved data integrity within EMR.
Anemia in pregnancy (AIP) is associated with poor maternal/fetal outcomes. The prevalence of AIP globally ranges from 44-53% and varies drastically depending on maternal race/ethnicity and other factors. Screening and treatment of AIP is disputed. This study is a retrospective review of electronic medical records (EMR) of pregnant adults over three years (2018-2020, inclusive) of Sanford Health, a large healthcare system in the upper Midwest. AIP was determined by either diagnosis or lab values (hemoglobin, hematocrit, and ferritin) overlapping with pregnancy. A missed diagnosis was characterized by confirmed anemia through lab values but lacking a diagnosis of anemia within EMR. A total of 35,498 patients were included in this study, 42.9% were determined to have AIP. Of AI/AN (American Indian/Alaska Native) patients, 58.3% were anemic and 55.1% of Black/African American patients were anemic compared to 40.0% of anemic white patients. Of anemic patients, 81.1% did not have an anemia diagnosis listed in EMR. This study identifies racial and ethnic disparities of AIP among patients in the upper Midwest. In addition, this study highlights the need for improved data integrity within EMR.
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