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Not all inequalities are equal: differences in coverage across the continuum of reproductive health services
Reducing inequalities in health service coverage is central to achieving the larger goal of universal health coverage. Reproductive health services are part of evidence-based health interventions that comprise a minimum set of essential health interventions that all countries should be able to provi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730583/ https://www.ncbi.nlm.nih.gov/pubmed/31544002 http://dx.doi.org/10.1136/bmjgh-2019-001695 |
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author | Sully, Elizabeth A Biddlecom, Ann Darroch, Jacqueline E |
author_facet | Sully, Elizabeth A Biddlecom, Ann Darroch, Jacqueline E |
author_sort | Sully, Elizabeth A |
collection | PubMed |
description | Reducing inequalities in health service coverage is central to achieving the larger goal of universal health coverage. Reproductive health services are part of evidence-based health interventions that comprise a minimum set of essential health interventions that all countries should be able to provide. This paper shows patterns in inequalities in three essential reproductive health services that span a continuum of care—contraceptive use, antenatal care during pregnancy and delivery at a health facility. We highlight coverage gaps and their impacts across geographical regions, key population subgroups and measures of inequality. We focus on reproductive age women (15–49 years) in 10 geographical regions in Africa, Asia and Latin America and the Caribbean. We examine inequalities by age (15–19, 20–24, 25–34 and 35–49 years), household wealth quintile, residence (rural or urban) and parity. Data on service coverage and the population in need are from 84 nationally representative surveys. Our results show that dominant inequalities in contraceptive coverage are varied, and include large disparities and impact by age group, compared with maternal health services, where inequalities are largest by economic status and urban–rural residence. Using multiple measures of inequality (relative, absolute and population impact) not only helps to show if there are consistent patterns in inequalities but also whether few or many different approaches are needed to reduce these inequalities and where resources could be prioritised to reach the largest number of people in need. |
format | Online Article Text |
id | pubmed-6730583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67305832019-09-20 Not all inequalities are equal: differences in coverage across the continuum of reproductive health services Sully, Elizabeth A Biddlecom, Ann Darroch, Jacqueline E BMJ Glob Health Analysis Reducing inequalities in health service coverage is central to achieving the larger goal of universal health coverage. Reproductive health services are part of evidence-based health interventions that comprise a minimum set of essential health interventions that all countries should be able to provide. This paper shows patterns in inequalities in three essential reproductive health services that span a continuum of care—contraceptive use, antenatal care during pregnancy and delivery at a health facility. We highlight coverage gaps and their impacts across geographical regions, key population subgroups and measures of inequality. We focus on reproductive age women (15–49 years) in 10 geographical regions in Africa, Asia and Latin America and the Caribbean. We examine inequalities by age (15–19, 20–24, 25–34 and 35–49 years), household wealth quintile, residence (rural or urban) and parity. Data on service coverage and the population in need are from 84 nationally representative surveys. Our results show that dominant inequalities in contraceptive coverage are varied, and include large disparities and impact by age group, compared with maternal health services, where inequalities are largest by economic status and urban–rural residence. Using multiple measures of inequality (relative, absolute and population impact) not only helps to show if there are consistent patterns in inequalities but also whether few or many different approaches are needed to reduce these inequalities and where resources could be prioritised to reach the largest number of people in need. BMJ Publishing Group 2019-09-03 /pmc/articles/PMC6730583/ /pubmed/31544002 http://dx.doi.org/10.1136/bmjgh-2019-001695 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Analysis Sully, Elizabeth A Biddlecom, Ann Darroch, Jacqueline E Not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
title | Not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
title_full | Not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
title_fullStr | Not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
title_full_unstemmed | Not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
title_short | Not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
title_sort | not all inequalities are equal: differences in coverage across the continuum of reproductive health services |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730583/ https://www.ncbi.nlm.nih.gov/pubmed/31544002 http://dx.doi.org/10.1136/bmjgh-2019-001695 |
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