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Simulating future supply of and requirements for human resources for health in high-income OECD countries
BACKGROUND: As part of efforts to inform the development of a global human resources for health (HRH) strategy, a comprehensive methodology for estimating HRH supply and requirements was described in a companion paper. The purpose of this paper is to demonstrate the application of that methodology,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154072/ https://www.ncbi.nlm.nih.gov/pubmed/27955669 http://dx.doi.org/10.1186/s12960-016-0168-x |
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author | Tomblin Murphy, Gail Birch, Stephen MacKenzie, Adrian Rigby, Janet |
author_facet | Tomblin Murphy, Gail Birch, Stephen MacKenzie, Adrian Rigby, Janet |
author_sort | Tomblin Murphy, Gail |
collection | PubMed |
description | BACKGROUND: As part of efforts to inform the development of a global human resources for health (HRH) strategy, a comprehensive methodology for estimating HRH supply and requirements was described in a companion paper. The purpose of this paper is to demonstrate the application of that methodology, using data publicly available online, to simulate the supply of and requirements for midwives, nurses, and physicians in the 32 high-income member countries of the Organisation for Economic Co-operation and Development (OECD) up to 2030. METHODS: A model combining a stock-and-flow approach to simulate the future supply of each profession in each country—adjusted according to levels of HRH participation and activity—and a needs-based approach to simulate future HRH requirements was used. Most of the data to populate the model were obtained from the OECD’s online indicator database. Other data were obtained from targeted internet searches and documents gathered as part of the companion paper. RESULTS: Relevant recent measures for each model parameter were found for at least one of the included countries. In total, 35% of the desired current data elements were found; assumed values were used for the other current data elements. Multiple scenarios were used to demonstrate the sensitivity of the simulations to different assumed future values of model parameters. Depending on the assumed future values of each model parameter, the simulated HRH gaps across the included countries could range from shortfalls of 74 000 midwives, 3.2 million nurses, and 1.2 million physicians to surpluses of 67 000 midwives, 2.9 million nurses, and 1.0 million physicians by 2030. CONCLUSIONS: Despite important gaps in the data publicly available online and the short time available to implement it, this paper demonstrates the basic feasibility of a more comprehensive, population needs-based approach to estimating HRH supply and requirements than most of those currently being used. HRH planners in individual countries, working with their respective stakeholder groups, would have more direct access to data on the relevant planning parameters and would thus be in an even better position to implement such an approach. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12960-016-0168-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5154072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51540722016-12-20 Simulating future supply of and requirements for human resources for health in high-income OECD countries Tomblin Murphy, Gail Birch, Stephen MacKenzie, Adrian Rigby, Janet Hum Resour Health Research BACKGROUND: As part of efforts to inform the development of a global human resources for health (HRH) strategy, a comprehensive methodology for estimating HRH supply and requirements was described in a companion paper. The purpose of this paper is to demonstrate the application of that methodology, using data publicly available online, to simulate the supply of and requirements for midwives, nurses, and physicians in the 32 high-income member countries of the Organisation for Economic Co-operation and Development (OECD) up to 2030. METHODS: A model combining a stock-and-flow approach to simulate the future supply of each profession in each country—adjusted according to levels of HRH participation and activity—and a needs-based approach to simulate future HRH requirements was used. Most of the data to populate the model were obtained from the OECD’s online indicator database. Other data were obtained from targeted internet searches and documents gathered as part of the companion paper. RESULTS: Relevant recent measures for each model parameter were found for at least one of the included countries. In total, 35% of the desired current data elements were found; assumed values were used for the other current data elements. Multiple scenarios were used to demonstrate the sensitivity of the simulations to different assumed future values of model parameters. Depending on the assumed future values of each model parameter, the simulated HRH gaps across the included countries could range from shortfalls of 74 000 midwives, 3.2 million nurses, and 1.2 million physicians to surpluses of 67 000 midwives, 2.9 million nurses, and 1.0 million physicians by 2030. CONCLUSIONS: Despite important gaps in the data publicly available online and the short time available to implement it, this paper demonstrates the basic feasibility of a more comprehensive, population needs-based approach to estimating HRH supply and requirements than most of those currently being used. HRH planners in individual countries, working with their respective stakeholder groups, would have more direct access to data on the relevant planning parameters and would thus be in an even better position to implement such an approach. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12960-016-0168-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-12 /pmc/articles/PMC5154072/ /pubmed/27955669 http://dx.doi.org/10.1186/s12960-016-0168-x Text en © The Author(s). 2016 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 Tomblin Murphy, Gail Birch, Stephen MacKenzie, Adrian Rigby, Janet Simulating future supply of and requirements for human resources for health in high-income OECD countries |
title | Simulating future supply of and requirements for human resources for health in high-income OECD countries |
title_full | Simulating future supply of and requirements for human resources for health in high-income OECD countries |
title_fullStr | Simulating future supply of and requirements for human resources for health in high-income OECD countries |
title_full_unstemmed | Simulating future supply of and requirements for human resources for health in high-income OECD countries |
title_short | Simulating future supply of and requirements for human resources for health in high-income OECD countries |
title_sort | simulating future supply of and requirements for human resources for health in high-income oecd countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154072/ https://www.ncbi.nlm.nih.gov/pubmed/27955669 http://dx.doi.org/10.1186/s12960-016-0168-x |
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