Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ward, Zachary J., Atun, Rifat, King, Gary, Sequeira Dmello, Brenda, Goldie, Sue J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
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
_version_ 1785045498490519552
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
work_keys_str_mv AT wardzacharyj asimulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT atunrifat asimulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT kinggary asimulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT sequeiradmellobrenda asimulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT goldiesuej asimulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT wardzacharyj simulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT atunrifat simulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT kinggary simulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT sequeiradmellobrenda simulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes
AT goldiesuej simulationbasedcomparativeeffectivenessanalysisofpoliciestoimproveglobalmaternalhealthoutcomes