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US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019
A shift in focus towards healthy reproductive outcomes may reveal opportunities for novel interventions and strategies to promote optimal health. Using variables from the National Center for Health Statistics restricted use natality files, we calculated Empirical Bayes smoothed (EBS) rates of optima...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529881/ https://www.ncbi.nlm.nih.gov/pubmed/36192415 http://dx.doi.org/10.1038/s41598-022-20517-9 |
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author | Dyer, Lauren Bell, Caryn Perez, Susan Crear-Perry, Joia Theall, Katherine Wallace, Maeve |
author_facet | Dyer, Lauren Bell, Caryn Perez, Susan Crear-Perry, Joia Theall, Katherine Wallace, Maeve |
author_sort | Dyer, Lauren |
collection | PubMed |
description | A shift in focus towards healthy reproductive outcomes may reveal opportunities for novel interventions and strategies to promote optimal health. Using variables from the National Center for Health Statistics restricted use natality files, we calculated Empirical Bayes smoothed (EBS) rates of optimal birth for the all live births—both overall and by maternal race/ethnicity—by applying the smoothing tool in GeoDa version 1.18.0.10 We defined counties achieving greater racial birth equity as those where the overall EBS optimal birth rate was greater than the national 75th percentile and the absolute difference between maternal racial/ethnic categories was smaller than the national 25th percentile difference. During the study period, 49.80% of overall births could be classified as an optimal birth according to the study definition. Of the 3140 US counties, only 282 (8.98%) appeared to advance White-Black equity in optimal births, and 205 (6.53%) appeared to advance White-Hispanic equity in optimal births. In the effort improve maternal health, we should focus not only on the absence of negative outcomes, but also the occurrence of positive outcomes. Our analytic results suggest that optimal births can be measured and that geographic inequities by race occur. |
format | Online Article Text |
id | pubmed-9529881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95298812022-10-05 US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 Dyer, Lauren Bell, Caryn Perez, Susan Crear-Perry, Joia Theall, Katherine Wallace, Maeve Sci Rep Article A shift in focus towards healthy reproductive outcomes may reveal opportunities for novel interventions and strategies to promote optimal health. Using variables from the National Center for Health Statistics restricted use natality files, we calculated Empirical Bayes smoothed (EBS) rates of optimal birth for the all live births—both overall and by maternal race/ethnicity—by applying the smoothing tool in GeoDa version 1.18.0.10 We defined counties achieving greater racial birth equity as those where the overall EBS optimal birth rate was greater than the national 75th percentile and the absolute difference between maternal racial/ethnic categories was smaller than the national 25th percentile difference. During the study period, 49.80% of overall births could be classified as an optimal birth according to the study definition. Of the 3140 US counties, only 282 (8.98%) appeared to advance White-Black equity in optimal births, and 205 (6.53%) appeared to advance White-Hispanic equity in optimal births. In the effort improve maternal health, we should focus not only on the absence of negative outcomes, but also the occurrence of positive outcomes. Our analytic results suggest that optimal births can be measured and that geographic inequities by race occur. Nature Publishing Group UK 2022-10-03 /pmc/articles/PMC9529881/ /pubmed/36192415 http://dx.doi.org/10.1038/s41598-022-20517-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dyer, Lauren Bell, Caryn Perez, Susan Crear-Perry, Joia Theall, Katherine Wallace, Maeve US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
title | US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
title_full | US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
title_fullStr | US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
title_full_unstemmed | US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
title_short | US county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
title_sort | us county-level prevalence and spatial distribution of optimal birth outcomes 2018–2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529881/ https://www.ncbi.nlm.nih.gov/pubmed/36192415 http://dx.doi.org/10.1038/s41598-022-20517-9 |
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