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Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries

BACKGROUND: Nursing personnel are critical for enabling access to health service in primary health care. However, the State of the World’s Nursing 2020 report showed important inequalities in nurse availability between countries. METHODS: The purpose of this study/analysis was to describe the differ...

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Autores principales: Boniol, Mathieu, McCarthy, Carey, Lawani, Deen, Guillot, Gilles, McIsaac, Michelle, Diallo, Khassoum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898534/
https://www.ncbi.nlm.nih.gov/pubmed/35248061
http://dx.doi.org/10.1186/s12960-022-00720-5
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author Boniol, Mathieu
McCarthy, Carey
Lawani, Deen
Guillot, Gilles
McIsaac, Michelle
Diallo, Khassoum
author_facet Boniol, Mathieu
McCarthy, Carey
Lawani, Deen
Guillot, Gilles
McIsaac, Michelle
Diallo, Khassoum
author_sort Boniol, Mathieu
collection PubMed
description BACKGROUND: Nursing personnel are critical for enabling access to health service in primary health care. However, the State of the World’s Nursing 2020 report showed important inequalities in nurse availability between countries. METHODS: The purpose of this study/analysis was to describe the differences in nurse-to-population density in 58 countries from six regional areas and the relationship between differences in access to nurses and other indicators of health equity. RESULTS: All countries and income groups showed subnational inequalities in the distribution of nursing personnel with Gini coefficients ranging from 1 to 39. The latter indicated situation such as 13% of the population having access to 45% of nurses in a country. The average max-to-min ratio was on average of 11-fold. In our sample, the African region had the highest level of subnational inequalities with the average Gini coefficient of 19.6. The European Region had the lowest level of within-country inequalities with the average Gini coefficient being 5.6. A multivariate analysis showed a clustering of countries in three groups: (1) high Gini coefficients comprised mainly African countries; (2) moderate Gini coefficients comprised mainly South-East Asian, Central and South American countries; (3) low Gini coefficients comprised mainly Western countries, Japan, and Korea. The analysis also showed that inequality in distribution of nurses was correlated with other indices of health and inequality such as the Human Development Index, maternal mortality, and life expectancy. CONCLUSIONS: This study showed that there is a high level of geographic inequality in the distribution of nurses at subnational level. Inequalities in nursing distribution are multifactorial, to improve access to nurses, policies should be bundled, tailored to the local context and tackle the various root causes for inequalities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-022-00720-5.
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spelling pubmed-88985342022-03-17 Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries Boniol, Mathieu McCarthy, Carey Lawani, Deen Guillot, Gilles McIsaac, Michelle Diallo, Khassoum Hum Resour Health Research BACKGROUND: Nursing personnel are critical for enabling access to health service in primary health care. However, the State of the World’s Nursing 2020 report showed important inequalities in nurse availability between countries. METHODS: The purpose of this study/analysis was to describe the differences in nurse-to-population density in 58 countries from six regional areas and the relationship between differences in access to nurses and other indicators of health equity. RESULTS: All countries and income groups showed subnational inequalities in the distribution of nursing personnel with Gini coefficients ranging from 1 to 39. The latter indicated situation such as 13% of the population having access to 45% of nurses in a country. The average max-to-min ratio was on average of 11-fold. In our sample, the African region had the highest level of subnational inequalities with the average Gini coefficient of 19.6. The European Region had the lowest level of within-country inequalities with the average Gini coefficient being 5.6. A multivariate analysis showed a clustering of countries in three groups: (1) high Gini coefficients comprised mainly African countries; (2) moderate Gini coefficients comprised mainly South-East Asian, Central and South American countries; (3) low Gini coefficients comprised mainly Western countries, Japan, and Korea. The analysis also showed that inequality in distribution of nurses was correlated with other indices of health and inequality such as the Human Development Index, maternal mortality, and life expectancy. CONCLUSIONS: This study showed that there is a high level of geographic inequality in the distribution of nurses at subnational level. Inequalities in nursing distribution are multifactorial, to improve access to nurses, policies should be bundled, tailored to the local context and tackle the various root causes for inequalities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-022-00720-5. BioMed Central 2022-03-05 /pmc/articles/PMC8898534/ /pubmed/35248061 http://dx.doi.org/10.1186/s12960-022-00720-5 Text en © The Author(s) 2022 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
Boniol, Mathieu
McCarthy, Carey
Lawani, Deen
Guillot, Gilles
McIsaac, Michelle
Diallo, Khassoum
Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
title Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
title_full Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
title_fullStr Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
title_full_unstemmed Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
title_short Inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
title_sort inequal distribution of nursing personnel: a subnational analysis of the distribution of nurses across 58 countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898534/
https://www.ncbi.nlm.nih.gov/pubmed/35248061
http://dx.doi.org/10.1186/s12960-022-00720-5
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