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Health workforce metrics pre- and post-2015: a stimulus to public policy and planning

BACKGROUND: Evidence-based health workforce policies are essential to ensure the provision of high-quality health services and to support the attainment of universal health coverage (UHC). This paper describes the main characteristics of available health workforce data for 74 of the 75 countries ide...

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Autores principales: Pozo-Martin, Francisco, Nove, Andrea, Lopes, Sofia Castro, Campbell, James, Buchan, James, Dussault, Gilles, Kunjumen, Teena, Cometto, Giorgio, Siyam, Amani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312527/
https://www.ncbi.nlm.nih.gov/pubmed/28202047
http://dx.doi.org/10.1186/s12960-017-0190-7
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author Pozo-Martin, Francisco
Nove, Andrea
Lopes, Sofia Castro
Campbell, James
Buchan, James
Dussault, Gilles
Kunjumen, Teena
Cometto, Giorgio
Siyam, Amani
author_facet Pozo-Martin, Francisco
Nove, Andrea
Lopes, Sofia Castro
Campbell, James
Buchan, James
Dussault, Gilles
Kunjumen, Teena
Cometto, Giorgio
Siyam, Amani
author_sort Pozo-Martin, Francisco
collection PubMed
description BACKGROUND: Evidence-based health workforce policies are essential to ensure the provision of high-quality health services and to support the attainment of universal health coverage (UHC). This paper describes the main characteristics of available health workforce data for 74 of the 75 countries identified under the ‘Countdown to 2015’ initiative as accounting for more than 95% of the world’s maternal, newborn and child deaths. It also discusses best practices in the development of health workforce metrics post-2015. METHODS: Using available health workforce data from the Global Health Workforce Statistics database from the Global Health Observatory, we generated descriptive statistics to explore the current status, recent trends in the number of skilled health professionals (SHPs: physicians, nurses, midwives) per 10 000 population, and future requirements to achieve adequate levels of health care in the 74 countries. A rapid literature review was conducted to obtain an overview of the types of methods and the types of data sources used in human resources for health (HRH) studies. RESULTS: There are large intercountry and interregional differences in the density of SHPs to progress towards UHC in Countdown countries: a median of 10.2 per 10 000 population with range 1.6 to 142 per 10 000. Substantial efforts have been made in some countries to increase the availability of SHPs as shown by a positive average exponential growth rate (AEGR) in SHPs in 51% of Countdown countries for which there are data. Many of these countries will require large investments to achieve levels of workforce availability commensurate with UHC and the health-related sustainable development goals (SDGs). The availability, quality and comparability of global health workforce metrics remain limited. Most published workforce studies are descriptive, but more sophisticated needs-based workforce planning methods are being developed. CONCLUSIONS: There is a need for high-quality, comprehensive, interoperable sources of HRH data to support all policies towards UHC and the health-related SDGs. The recent WHO-led initiative of supporting countries in the development of National Health Workforce Accounts is a very promising move towards purposive health workforce metrics post-2015. Such data will allow more countries to apply the latest methods for health workforce planning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12960-017-0190-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-53125272017-02-24 Health workforce metrics pre- and post-2015: a stimulus to public policy and planning Pozo-Martin, Francisco Nove, Andrea Lopes, Sofia Castro Campbell, James Buchan, James Dussault, Gilles Kunjumen, Teena Cometto, Giorgio Siyam, Amani Hum Resour Health Research BACKGROUND: Evidence-based health workforce policies are essential to ensure the provision of high-quality health services and to support the attainment of universal health coverage (UHC). This paper describes the main characteristics of available health workforce data for 74 of the 75 countries identified under the ‘Countdown to 2015’ initiative as accounting for more than 95% of the world’s maternal, newborn and child deaths. It also discusses best practices in the development of health workforce metrics post-2015. METHODS: Using available health workforce data from the Global Health Workforce Statistics database from the Global Health Observatory, we generated descriptive statistics to explore the current status, recent trends in the number of skilled health professionals (SHPs: physicians, nurses, midwives) per 10 000 population, and future requirements to achieve adequate levels of health care in the 74 countries. A rapid literature review was conducted to obtain an overview of the types of methods and the types of data sources used in human resources for health (HRH) studies. RESULTS: There are large intercountry and interregional differences in the density of SHPs to progress towards UHC in Countdown countries: a median of 10.2 per 10 000 population with range 1.6 to 142 per 10 000. Substantial efforts have been made in some countries to increase the availability of SHPs as shown by a positive average exponential growth rate (AEGR) in SHPs in 51% of Countdown countries for which there are data. Many of these countries will require large investments to achieve levels of workforce availability commensurate with UHC and the health-related sustainable development goals (SDGs). The availability, quality and comparability of global health workforce metrics remain limited. Most published workforce studies are descriptive, but more sophisticated needs-based workforce planning methods are being developed. CONCLUSIONS: There is a need for high-quality, comprehensive, interoperable sources of HRH data to support all policies towards UHC and the health-related SDGs. The recent WHO-led initiative of supporting countries in the development of National Health Workforce Accounts is a very promising move towards purposive health workforce metrics post-2015. Such data will allow more countries to apply the latest methods for health workforce planning. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12960-017-0190-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-15 /pmc/articles/PMC5312527/ /pubmed/28202047 http://dx.doi.org/10.1186/s12960-017-0190-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Pozo-Martin, Francisco
Nove, Andrea
Lopes, Sofia Castro
Campbell, James
Buchan, James
Dussault, Gilles
Kunjumen, Teena
Cometto, Giorgio
Siyam, Amani
Health workforce metrics pre- and post-2015: a stimulus to public policy and planning
title Health workforce metrics pre- and post-2015: a stimulus to public policy and planning
title_full Health workforce metrics pre- and post-2015: a stimulus to public policy and planning
title_fullStr Health workforce metrics pre- and post-2015: a stimulus to public policy and planning
title_full_unstemmed Health workforce metrics pre- and post-2015: a stimulus to public policy and planning
title_short Health workforce metrics pre- and post-2015: a stimulus to public policy and planning
title_sort health workforce metrics pre- and post-2015: a stimulus to public policy and planning
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312527/
https://www.ncbi.nlm.nih.gov/pubmed/28202047
http://dx.doi.org/10.1186/s12960-017-0190-7
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