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Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis

BACKGROUND: Maternal mortality is a universal public health challenge. ICD-Maternal Mortality (ICD-MM) was introduced in 2012 to facilitate the gathering, analysis, and interpretation of data on maternal deaths worldwide. The present study aimed to estimate the global prevalence of maternal death ca...

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Autores principales: Alipour, Jahanpour, Payandeh, Abolfazl, Karimi, Afsaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683107/
https://www.ncbi.nlm.nih.gov/pubmed/38017449
http://dx.doi.org/10.1186/s12884-023-06142-y
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author Alipour, Jahanpour
Payandeh, Abolfazl
Karimi, Afsaneh
author_facet Alipour, Jahanpour
Payandeh, Abolfazl
Karimi, Afsaneh
author_sort Alipour, Jahanpour
collection PubMed
description BACKGROUND: Maternal mortality is a universal public health challenge. ICD-Maternal Mortality (ICD-MM) was introduced in 2012 to facilitate the gathering, analysis, and interpretation of data on maternal deaths worldwide. The present study aimed to estimate the global prevalence of maternal death causes through a systematic review and meta-analysis. METHODS: A systematic literature search was conducted using various databases, including Web of Science, PubMed, Scopus, ScienceDirect, Cochrane Library, as well as Persian databases such as MagIran and Scientific Information Database (SID). The search encompassed articles published until August 21, 2022. Thirty-four eligible articles were included in the final analysis. Analysis was performed using a meta-analysis approach. The exact Clopper-Pearson confidence intervals, heterogeneity assessment, and random effects models with Mantel-Haenszel methods were employed using the STATA software version 14.2. RESULTS: The most prevalent causes of maternal deaths, listed in descending order from highest to lowest prevalence, were non-obstetric complications (48.32%), obstetric hemorrhage (17.63%), hypertensive disorders of pregnancy, childbirth, and the puerperium (14.01%), other obstetric complications (7.11%), pregnancy with abortive outcome (5.41%), pregnancy-related infection (5.26%), unanticipated complications of management (2.25%), unknown/undetermined causes (2.01%), and coincidental causes (1.59%), respectively. CONCLUSION: Non-obstetric complications, obstetric hemorrhage, and hypertensive disorders of pregnancy, childbirth, and puerperium were the most common causes of maternal deaths. To reduce the burden of maternal mortality causes, increasing awareness and promoting self-care management among women of reproductive age, and implementing effective screening mechanisms for high-risk mothers during pregnancy, childbirth, and the puerperium can play a significant role. ICD-MM enables the uniform collection and comparison of maternal death information at different levels (local, national, and international) by facilitating the consistent collection, analysis, and interpretation of data on maternal deaths. Our findings can be utilized by policymakers and managers at various levels to facilitate necessary planning aimed at reducing the burden of maternal mortality causes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-06142-y.
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spelling pubmed-106831072023-11-30 Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis Alipour, Jahanpour Payandeh, Abolfazl Karimi, Afsaneh BMC Pregnancy Childbirth Research BACKGROUND: Maternal mortality is a universal public health challenge. ICD-Maternal Mortality (ICD-MM) was introduced in 2012 to facilitate the gathering, analysis, and interpretation of data on maternal deaths worldwide. The present study aimed to estimate the global prevalence of maternal death causes through a systematic review and meta-analysis. METHODS: A systematic literature search was conducted using various databases, including Web of Science, PubMed, Scopus, ScienceDirect, Cochrane Library, as well as Persian databases such as MagIran and Scientific Information Database (SID). The search encompassed articles published until August 21, 2022. Thirty-four eligible articles were included in the final analysis. Analysis was performed using a meta-analysis approach. The exact Clopper-Pearson confidence intervals, heterogeneity assessment, and random effects models with Mantel-Haenszel methods were employed using the STATA software version 14.2. RESULTS: The most prevalent causes of maternal deaths, listed in descending order from highest to lowest prevalence, were non-obstetric complications (48.32%), obstetric hemorrhage (17.63%), hypertensive disorders of pregnancy, childbirth, and the puerperium (14.01%), other obstetric complications (7.11%), pregnancy with abortive outcome (5.41%), pregnancy-related infection (5.26%), unanticipated complications of management (2.25%), unknown/undetermined causes (2.01%), and coincidental causes (1.59%), respectively. CONCLUSION: Non-obstetric complications, obstetric hemorrhage, and hypertensive disorders of pregnancy, childbirth, and puerperium were the most common causes of maternal deaths. To reduce the burden of maternal mortality causes, increasing awareness and promoting self-care management among women of reproductive age, and implementing effective screening mechanisms for high-risk mothers during pregnancy, childbirth, and the puerperium can play a significant role. ICD-MM enables the uniform collection and comparison of maternal death information at different levels (local, national, and international) by facilitating the consistent collection, analysis, and interpretation of data on maternal deaths. Our findings can be utilized by policymakers and managers at various levels to facilitate necessary planning aimed at reducing the burden of maternal mortality causes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-06142-y. BioMed Central 2023-11-28 /pmc/articles/PMC10683107/ /pubmed/38017449 http://dx.doi.org/10.1186/s12884-023-06142-y Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Alipour, Jahanpour
Payandeh, Abolfazl
Karimi, Afsaneh
Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis
title Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis
title_full Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis
title_fullStr Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis
title_full_unstemmed Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis
title_short Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis
title_sort prevalence of maternal mortality causes based on icd-mm: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683107/
https://www.ncbi.nlm.nih.gov/pubmed/38017449
http://dx.doi.org/10.1186/s12884-023-06142-y
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