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How are population-based funding formulae for healthcare composed? A comparative analysis of seven models
BACKGROUND: Population-based funding formulae act as an important means of promoting equitable health funding structures. To evaluate how policy makers in different jurisdictions construct health funding formulae and build an understanding of contextual influences underpinning formula construction w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225752/ https://www.ncbi.nlm.nih.gov/pubmed/24209410 http://dx.doi.org/10.1186/1472-6963-13-470 |
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author | Penno, Erin Gauld, Robin Audas, Rick |
author_facet | Penno, Erin Gauld, Robin Audas, Rick |
author_sort | Penno, Erin |
collection | PubMed |
description | BACKGROUND: Population-based funding formulae act as an important means of promoting equitable health funding structures. To evaluate how policy makers in different jurisdictions construct health funding formulae and build an understanding of contextual influences underpinning formula construction we carried out a comparative analysis of key components of funding formulae across seven high-income and predominantly publically financed health systems: New Zealand, England, Scotland, the Netherlands, the state of New South Wales in Australia, the Canadian province of Ontario, and the city of Stockholm, Sweden. METHODS: Core components from each formula were summarised and key similarities and differences evaluated from a compositional perspective. We categorised approaches to constructing funding formulae under three main themes: identifying factors which predict differential need amongst populations; adjusting for cost factors outside of needs factors; and engaging in normative correction of allocations for ‘unmet’ need. RESULTS: We found significant congruence in the factors used to guide need and cost adjustments. However, there is considerable variation in interpretation and implementation of these factors. CONCLUSION: Despite broadly similar frameworks, there are distinct differences in the composition of the formulae across the seven health systems. Ultimately, the development of funding formulae is a dynamic process, subject to availability of data reflecting health needs, the influence of wider socio-political objectives and health system determinants. |
format | Online Article Text |
id | pubmed-4225752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42257522014-11-11 How are population-based funding formulae for healthcare composed? A comparative analysis of seven models Penno, Erin Gauld, Robin Audas, Rick BMC Health Serv Res Research Article BACKGROUND: Population-based funding formulae act as an important means of promoting equitable health funding structures. To evaluate how policy makers in different jurisdictions construct health funding formulae and build an understanding of contextual influences underpinning formula construction we carried out a comparative analysis of key components of funding formulae across seven high-income and predominantly publically financed health systems: New Zealand, England, Scotland, the Netherlands, the state of New South Wales in Australia, the Canadian province of Ontario, and the city of Stockholm, Sweden. METHODS: Core components from each formula were summarised and key similarities and differences evaluated from a compositional perspective. We categorised approaches to constructing funding formulae under three main themes: identifying factors which predict differential need amongst populations; adjusting for cost factors outside of needs factors; and engaging in normative correction of allocations for ‘unmet’ need. RESULTS: We found significant congruence in the factors used to guide need and cost adjustments. However, there is considerable variation in interpretation and implementation of these factors. CONCLUSION: Despite broadly similar frameworks, there are distinct differences in the composition of the formulae across the seven health systems. Ultimately, the development of funding formulae is a dynamic process, subject to availability of data reflecting health needs, the influence of wider socio-political objectives and health system determinants. BioMed Central 2013-11-08 /pmc/articles/PMC4225752/ /pubmed/24209410 http://dx.doi.org/10.1186/1472-6963-13-470 Text en Copyright © 2013 Penno et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Penno, Erin Gauld, Robin Audas, Rick How are population-based funding formulae for healthcare composed? A comparative analysis of seven models |
title | How are population-based funding formulae for healthcare composed? A comparative analysis of seven models |
title_full | How are population-based funding formulae for healthcare composed? A comparative analysis of seven models |
title_fullStr | How are population-based funding formulae for healthcare composed? A comparative analysis of seven models |
title_full_unstemmed | How are population-based funding formulae for healthcare composed? A comparative analysis of seven models |
title_short | How are population-based funding formulae for healthcare composed? A comparative analysis of seven models |
title_sort | how are population-based funding formulae for healthcare composed? a comparative analysis of seven models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225752/ https://www.ncbi.nlm.nih.gov/pubmed/24209410 http://dx.doi.org/10.1186/1472-6963-13-470 |
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