Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.

Previous studies have evaluated the marginal effect of various factors on the risk of severe maternal morbidity (SMM) using regression approaches. We add to this literature by utilizing a Bayesian network (BN) approach to understand the joint effects of clinical, demographic, and area-level factors....

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Autores principales:	Mandana Rezaeiahari, Clare C Brown, Mir M Ali, Jyotishka Datta, J Mick Tilford
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5403236c92bd481b82549a95f0cdfc08
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spelling	oai:doaj.org-article:5403236c92bd481b82549a95f0cdfc082021-12-02T20:19:10ZUnderstanding racial disparities in severe maternal morbidity using Bayesian network analysis.1932-620310.1371/journal.pone.0259258https://doaj.org/article/5403236c92bd481b82549a95f0cdfc082021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259258https://doaj.org/toc/1932-6203Previous studies have evaluated the marginal effect of various factors on the risk of severe maternal morbidity (SMM) using regression approaches. We add to this literature by utilizing a Bayesian network (BN) approach to understand the joint effects of clinical, demographic, and area-level factors. We conducted a retrospective observational study using linked birth certificate and insurance claims data from the Arkansas All-Payer Claims Database (APCD), for the years 2013 through 2017. We used various learning algorithms and measures of arc strength to choose the most robust network structure. We then performed various conditional probabilistic queries using Monte Carlo simulation to understand disparities in SMM. We found that anemia and hypertensive disorder of pregnancy may be important clinical comorbidities to target in order to reduce SMM overall as well as racial disparities in SMM.Mandana RezaeiahariClare C BrownMir M AliJyotishka DattaJ Mick TilfordPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0259258 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mandana Rezaeiahari Clare C Brown Mir M Ali Jyotishka Datta J Mick Tilford Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
description	Previous studies have evaluated the marginal effect of various factors on the risk of severe maternal morbidity (SMM) using regression approaches. We add to this literature by utilizing a Bayesian network (BN) approach to understand the joint effects of clinical, demographic, and area-level factors. We conducted a retrospective observational study using linked birth certificate and insurance claims data from the Arkansas All-Payer Claims Database (APCD), for the years 2013 through 2017. We used various learning algorithms and measures of arc strength to choose the most robust network structure. We then performed various conditional probabilistic queries using Monte Carlo simulation to understand disparities in SMM. We found that anemia and hypertensive disorder of pregnancy may be important clinical comorbidities to target in order to reduce SMM overall as well as racial disparities in SMM.
format	article
author	Mandana Rezaeiahari Clare C Brown Mir M Ali Jyotishka Datta J Mick Tilford
author_facet	Mandana Rezaeiahari Clare C Brown Mir M Ali Jyotishka Datta J Mick Tilford
author_sort	Mandana Rezaeiahari
title	Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
title_short	Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
title_full	Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
title_fullStr	Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
title_full_unstemmed	Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.
title_sort	understanding racial disparities in severe maternal morbidity using bayesian network analysis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/5403236c92bd481b82549a95f0cdfc08
work_keys_str_mv	AT mandanarezaeiahari understandingracialdisparitiesinseverematernalmorbidityusingbayesiannetworkanalysis AT clarecbrown understandingracialdisparitiesinseverematernalmorbidityusingbayesiannetworkanalysis AT mirmali understandingracialdisparitiesinseverematernalmorbidityusingbayesiannetworkanalysis AT jyotishkadatta understandingracialdisparitiesinseverematernalmorbidityusingbayesiannetworkanalysis AT jmicktilford understandingracialdisparitiesinseverematernalmorbidityusingbayesiannetworkanalysis
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Understanding racial disparities in severe maternal morbidity using Bayesian network analysis.

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