Cargando…

Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model

BACKGROUND: Global estimates of unsafe abortions have been produced for 1995, 2003, and 2008. However, reconceptualisation of the framework and methods for estimating abortion safety is needed owing to the increased availability of simple methods for safe abortion (eg, medical abortion), the increas...

Descripción completa

Detalles Bibliográficos
Autores principales: Ganatra, Bela, Gerdts, Caitlin, Rossier, Clémentine, Johnson, Brooke Ronald, Tunçalp, Özge, Assifi, Anisa, Sedgh, Gilda, Singh, Susheela, Bankole, Akinrinola, Popinchalk, Anna, Bearak, Jonathan, Kang, Zhenning, Alkema, Leontine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711001/
https://www.ncbi.nlm.nih.gov/pubmed/28964589
http://dx.doi.org/10.1016/S0140-6736(17)31794-4
_version_ 1783282987289280512
author Ganatra, Bela
Gerdts, Caitlin
Rossier, Clémentine
Johnson, Brooke Ronald
Tunçalp, Özge
Assifi, Anisa
Sedgh, Gilda
Singh, Susheela
Bankole, Akinrinola
Popinchalk, Anna
Bearak, Jonathan
Kang, Zhenning
Alkema, Leontine
author_facet Ganatra, Bela
Gerdts, Caitlin
Rossier, Clémentine
Johnson, Brooke Ronald
Tunçalp, Özge
Assifi, Anisa
Sedgh, Gilda
Singh, Susheela
Bankole, Akinrinola
Popinchalk, Anna
Bearak, Jonathan
Kang, Zhenning
Alkema, Leontine
author_sort Ganatra, Bela
collection PubMed
description BACKGROUND: Global estimates of unsafe abortions have been produced for 1995, 2003, and 2008. However, reconceptualisation of the framework and methods for estimating abortion safety is needed owing to the increased availability of simple methods for safe abortion (eg, medical abortion), the increasingly widespread use of misoprostol outside formal health systems in contexts where abortion is legally restricted, and the need to account for the multiple factors that affect abortion safety. METHODS: We used all available empirical data on abortion methods, providers, and settings, and factors affecting safety as covariates within a Bayesian hierarchical model to estimate the global, regional, and subregional distributions of abortion by safety categories. We used a three-tiered categorisation based on the WHO definition of unsafe abortion and WHO guidelines on safe abortion to categorise abortions as safe or unsafe and to further divide unsafe abortions into two categories of less safe and least safe. FINDINGS: Of the 55· 7 million abortions that occurred worldwide each year between 2010–14, we estimated that 30·6 million (54·9%, 90% uncertainty interval 49·9–59·4) were safe, 17·1 million (30·7%, 25·5–35·6) were less safe, and 8·0 million (14·4%, 11·5–18·1) were least safe. Thus, 25·1 million (45·1%, 40·6–50·1) abortions each year between 2010 and 2014 were unsafe, with 24·3 million (97%) of these in developing countries. The proportion of unsafe abortions was significantly higher in developing countries than developed countries (49·5% vs 12·5%). When grouped by the legal status of abortion, the proportion of unsafe abortions was significantly higher in countries with highly restrictive abortion laws than in those with less restrictive laws. INTERPRETATION: Increased efforts are needed, especially in developing countries, to ensure access to safe abortion. The paucity of empirical data is a limitation of these findings. Improved in-country data for health services and innovative research to address these gaps are needed to improve future estimates. FUNDING: UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction; David and Lucile Packard Foundation; UK Aid from the UK Government; Dutch Ministry of Foreign Affairs; Norwegian Agency for Development Cooperation.
format Online
Article
Text
id pubmed-5711001
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-57110012017-12-06 Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model Ganatra, Bela Gerdts, Caitlin Rossier, Clémentine Johnson, Brooke Ronald Tunçalp, Özge Assifi, Anisa Sedgh, Gilda Singh, Susheela Bankole, Akinrinola Popinchalk, Anna Bearak, Jonathan Kang, Zhenning Alkema, Leontine Lancet Article BACKGROUND: Global estimates of unsafe abortions have been produced for 1995, 2003, and 2008. However, reconceptualisation of the framework and methods for estimating abortion safety is needed owing to the increased availability of simple methods for safe abortion (eg, medical abortion), the increasingly widespread use of misoprostol outside formal health systems in contexts where abortion is legally restricted, and the need to account for the multiple factors that affect abortion safety. METHODS: We used all available empirical data on abortion methods, providers, and settings, and factors affecting safety as covariates within a Bayesian hierarchical model to estimate the global, regional, and subregional distributions of abortion by safety categories. We used a three-tiered categorisation based on the WHO definition of unsafe abortion and WHO guidelines on safe abortion to categorise abortions as safe or unsafe and to further divide unsafe abortions into two categories of less safe and least safe. FINDINGS: Of the 55· 7 million abortions that occurred worldwide each year between 2010–14, we estimated that 30·6 million (54·9%, 90% uncertainty interval 49·9–59·4) were safe, 17·1 million (30·7%, 25·5–35·6) were less safe, and 8·0 million (14·4%, 11·5–18·1) were least safe. Thus, 25·1 million (45·1%, 40·6–50·1) abortions each year between 2010 and 2014 were unsafe, with 24·3 million (97%) of these in developing countries. The proportion of unsafe abortions was significantly higher in developing countries than developed countries (49·5% vs 12·5%). When grouped by the legal status of abortion, the proportion of unsafe abortions was significantly higher in countries with highly restrictive abortion laws than in those with less restrictive laws. INTERPRETATION: Increased efforts are needed, especially in developing countries, to ensure access to safe abortion. The paucity of empirical data is a limitation of these findings. Improved in-country data for health services and innovative research to address these gaps are needed to improve future estimates. FUNDING: UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction; David and Lucile Packard Foundation; UK Aid from the UK Government; Dutch Ministry of Foreign Affairs; Norwegian Agency for Development Cooperation. Elsevier 2017-11-25 /pmc/articles/PMC5711001/ /pubmed/28964589 http://dx.doi.org/10.1016/S0140-6736(17)31794-4 Text en © 2017 World Health Organization http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Article
Ganatra, Bela
Gerdts, Caitlin
Rossier, Clémentine
Johnson, Brooke Ronald
Tunçalp, Özge
Assifi, Anisa
Sedgh, Gilda
Singh, Susheela
Bankole, Akinrinola
Popinchalk, Anna
Bearak, Jonathan
Kang, Zhenning
Alkema, Leontine
Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model
title Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model
title_full Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model
title_fullStr Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model
title_full_unstemmed Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model
title_short Global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a Bayesian hierarchical model
title_sort global, regional, and subregional classification of abortions by safety, 2010–14: estimates from a bayesian hierarchical model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711001/
https://www.ncbi.nlm.nih.gov/pubmed/28964589
http://dx.doi.org/10.1016/S0140-6736(17)31794-4
work_keys_str_mv AT ganatrabela globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT gerdtscaitlin globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT rossierclementine globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT johnsonbrookeronald globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT tuncalpozge globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT assifianisa globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT sedghgilda globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT singhsusheela globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT bankoleakinrinola globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT popinchalkanna globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT bearakjonathan globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT kangzhenning globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel
AT alkemaleontine globalregionalandsubregionalclassificationofabortionsbysafety201014estimatesfromabayesianhierarchicalmodel