Peripartum Blood Transfusion Among Rural Women in the United States Article Swipe
Ellen M. Hartenbach
,
Hsiang-Hui Daphne Kuo
,
Madelyne Z. Greene
,
Emily A. Shrider
,
Kathleen M. Antony
,
Deborah B. Ehrenthal
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1097/aog.0000000000003718
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1097/aog.0000000000003718
OBJECTIVE: To evaluate the peripartum transfusion rates for rural women compared with urban women in the United States. METHODS: In this population-based retrospective cohort study, geocoded birth records from 2014 to 2016 from the National Center for Health Statistics were used to examine the rural–urban differences in blood transfusion among nulliparous women delivering singleton, vertex pregnancies at term. We compared transfusion rates across the counties on a continuum from urban to rural. We generated a multivariable logistic regression model controlling for age, race, nativity, education, insurance, prenatal care, maternal health, gestational age, intrapartum care, mode of delivery, peripartum factors, and county of delivery. RESULTS: Among 3,346,816 births, the transfusion rates based on maternal county of residence increased as the counties became more rural: large metropolitan-center (1.9/1,000 live births); large metropolitan-fringe (2.4); medium metropolitan (2.6); small metropolitan (2.6); micropolitan (4.5); and noncore rural (5.3). Rural women living and delivering in a rural county had more transfusions (8.5/1,000 live births) than women in more urban counties (2.5/1,000). After adjusting for key covariates, the odds of transfusion were higher among women living in micropolitan (adjusted odds ratio [aOR] 2.25, 95% CI 2.09–2.43) and noncore rural (aOR 2.59, 95% CI 2.38–2.81) counties when compared with women living in large metropolitan counties. County of delivery had a higher association with transfusion than resident county. After adding delivery county to the regression model, the association of transfusion and living in a micropolitan (aOR 1.39, 95% CI 1.19–1.63) or noncore rural (aOR 1.32, 95% CI 1.12–1.55) county diminished. CONCLUSION: The odds of blood transfusion were higher for women in rural areas. The results indicate that the rurality of the county where the birth occurred was associated with more transfusion. This may reflect differences in maternity and blood banking services in rural hospitals and warrants further study to identify opportunities for intervention.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/aog.0000000000003718
- OA Status
- green
- Cited By
- 7
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3005081295
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3005081295Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1097/aog.0000000000003718Digital Object Identifier
- Title
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Peripartum Blood Transfusion Among Rural Women in the United StatesWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-02-06Full publication date if available
- Authors
-
Ellen M. Hartenbach, Hsiang-Hui Daphne Kuo, Madelyne Z. Greene, Emily A. Shrider, Kathleen M. Antony, Deborah B. EhrenthalList of authors in order
- Landing page
-
https://doi.org/10.1097/aog.0000000000003718Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/7039395Direct OA link when available
- Concepts
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Medicine, Odds, Demography, Odds ratio, Metropolitan area, Population, Blood transfusion, Logistic regression, Residence, Pregnancy, Rural area, Prenatal care, Environmental health, Surgery, Genetics, Internal medicine, Pathology, Biology, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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22Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| authorships[0].affiliations[4].raw_affiliation_string | Research was supported in part by the National Institutes of Health under Ruth L. Kirschstein National Research Service Award (T32HD049302) and a core grant to the Center for Demography and Ecology at the University of Wisconsin-Madison (P2C HD047873), both from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Eunice Kennedy Shriver National Institute of Child Health and Human Development or the National Institutes of Health. Additional support was provided by the Wisconsin Partnership Program. |
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