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Assessing neo-natal mortality trends in Pakistan: an insight using equity lens

BACKGROUND: Almost 2.5 million neonates died in the first year of life in the year 2017. These account for almost half of the total deaths of children under the age of 5 years. Overall, child mortality has declined over the past two decades. Comparatively, the pace of decline in neonatal mortality h...

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Autores principales: Dawood, Zainab, Majeed, Naeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725521/
https://www.ncbi.nlm.nih.gov/pubmed/34983629
http://dx.doi.org/10.1186/s13690-021-00767-1
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author Dawood, Zainab
Majeed, Naeem
author_facet Dawood, Zainab
Majeed, Naeem
author_sort Dawood, Zainab
collection PubMed
description BACKGROUND: Almost 2.5 million neonates died in the first year of life in the year 2017. These account for almost half of the total deaths of children under the age of 5 years. Overall, child mortality has declined over the past two decades. Comparatively, the pace of decline in neonatal mortality has remained much slow. Significant inequalities in health across several dimensions – including wealth, ethnicity, and geography – continue to exist both between and within countries, and these contribute to neonatal mortality. This study aims to quantify the magnitude of inequalities in neonatal mortality trends by wealth quintile and place of residence with province wise segregation. METHODS: The study was done using raw data from the last three Pakistan Demographic & Health Surveys (2017–18, 2012–13 and 2006–07). The concentration curves were drawn in Microsoft Excel 365 using scatter plot as graph type while the frequencies were calculated using SPSS 24. RESULTS: The situation of inequity across provinces and in rural vs urban areas has slightly declined, however, gross inequities continue to exist. CONCLUSIONS: Presentation of outcomes data, such as neonatal mortality in various wealth quintiles is an effective way to highlight the inequities amongst income groups as it highlights the vulnerable and at-risk groups. In other countries, rural-urban distribution, or ethnic groups may also reflect similar differences and help in identifying high-risk groups.
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spelling pubmed-87255212022-01-06 Assessing neo-natal mortality trends in Pakistan: an insight using equity lens Dawood, Zainab Majeed, Naeem Arch Public Health Research BACKGROUND: Almost 2.5 million neonates died in the first year of life in the year 2017. These account for almost half of the total deaths of children under the age of 5 years. Overall, child mortality has declined over the past two decades. Comparatively, the pace of decline in neonatal mortality has remained much slow. Significant inequalities in health across several dimensions – including wealth, ethnicity, and geography – continue to exist both between and within countries, and these contribute to neonatal mortality. This study aims to quantify the magnitude of inequalities in neonatal mortality trends by wealth quintile and place of residence with province wise segregation. METHODS: The study was done using raw data from the last three Pakistan Demographic & Health Surveys (2017–18, 2012–13 and 2006–07). The concentration curves were drawn in Microsoft Excel 365 using scatter plot as graph type while the frequencies were calculated using SPSS 24. RESULTS: The situation of inequity across provinces and in rural vs urban areas has slightly declined, however, gross inequities continue to exist. CONCLUSIONS: Presentation of outcomes data, such as neonatal mortality in various wealth quintiles is an effective way to highlight the inequities amongst income groups as it highlights the vulnerable and at-risk groups. In other countries, rural-urban distribution, or ethnic groups may also reflect similar differences and help in identifying high-risk groups. BioMed Central 2022-01-04 /pmc/articles/PMC8725521/ /pubmed/34983629 http://dx.doi.org/10.1186/s13690-021-00767-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Dawood, Zainab
Majeed, Naeem
Assessing neo-natal mortality trends in Pakistan: an insight using equity lens
title Assessing neo-natal mortality trends in Pakistan: an insight using equity lens
title_full Assessing neo-natal mortality trends in Pakistan: an insight using equity lens
title_fullStr Assessing neo-natal mortality trends in Pakistan: an insight using equity lens
title_full_unstemmed Assessing neo-natal mortality trends in Pakistan: an insight using equity lens
title_short Assessing neo-natal mortality trends in Pakistan: an insight using equity lens
title_sort assessing neo-natal mortality trends in pakistan: an insight using equity lens
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725521/
https://www.ncbi.nlm.nih.gov/pubmed/34983629
http://dx.doi.org/10.1186/s13690-021-00767-1
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