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A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. We used the empirically calib...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202805/ https://www.ncbi.nlm.nih.gov/pubmed/37081227 http://dx.doi.org/10.1038/s41591-023-02311-w |
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author | Ward, Zachary J. Atun, Rifat King, Gary Sequeira Dmello, Brenda Goldie, Sue J. |
author_facet | Ward, Zachary J. Atun, Rifat King, Gary Sequeira Dmello, Brenda Goldie, Sue J. |
author_sort | Ward, Zachary J. |
collection | PubMed |
description | The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. We used the empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022 to 2030. Although individual interventions yielded fairly small reductions in maternal mortality, integrated strategies were more effective. A strategy to simultaneously increase facility births, improve the availability of clinical services and quality of care at facilities, and improve linkages to care would yield a projected global MMR of 72 (95% uncertainty interval (UI) = 58–87) in 2030. A comprehensive strategy adding family planning and community-based interventions would have an even larger impact, with a projected MMR of 58 (95% UI = 46–70). Although integrated strategies consisting of multiple interventions will probably be needed to achieve substantial reductions in maternal mortality, the relative priority of different interventions varies by setting. Our regional and country-level estimates can help guide priority setting in specific contexts to accelerate improvements in maternal health. |
format | Online Article Text |
id | pubmed-10202805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102028052023-05-24 A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes Ward, Zachary J. Atun, Rifat King, Gary Sequeira Dmello, Brenda Goldie, Sue J. Nat Med Article The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. We used the empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022 to 2030. Although individual interventions yielded fairly small reductions in maternal mortality, integrated strategies were more effective. A strategy to simultaneously increase facility births, improve the availability of clinical services and quality of care at facilities, and improve linkages to care would yield a projected global MMR of 72 (95% uncertainty interval (UI) = 58–87) in 2030. A comprehensive strategy adding family planning and community-based interventions would have an even larger impact, with a projected MMR of 58 (95% UI = 46–70). Although integrated strategies consisting of multiple interventions will probably be needed to achieve substantial reductions in maternal mortality, the relative priority of different interventions varies by setting. Our regional and country-level estimates can help guide priority setting in specific contexts to accelerate improvements in maternal health. Nature Publishing Group US 2023-04-20 2023 /pmc/articles/PMC10202805/ /pubmed/37081227 http://dx.doi.org/10.1038/s41591-023-02311-w 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ward, Zachary J. Atun, Rifat King, Gary Sequeira Dmello, Brenda Goldie, Sue J. A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
title | A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
title_full | A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
title_fullStr | A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
title_full_unstemmed | A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
title_short | A simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
title_sort | simulation-based comparative effectiveness analysis of policies to improve global maternal health outcomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202805/ https://www.ncbi.nlm.nih.gov/pubmed/37081227 http://dx.doi.org/10.1038/s41591-023-02311-w |
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