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Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach

Background: In 2013, public health moved into Local Authorities, but initial optimism has been overtaken by serious ongoing financial constraints and an uncertain future. Hard choices have become an everyday reality across local authorities and for their public health teams. Assessing the return-on-...

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Autores principales: Robertson, Lee, Skelly, Chris, Phillips, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609906/
https://www.ncbi.nlm.nih.gov/pubmed/31316957
http://dx.doi.org/10.3389/fpubh.2019.00147
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author Robertson, Lee
Skelly, Chris
Phillips, David
author_facet Robertson, Lee
Skelly, Chris
Phillips, David
author_sort Robertson, Lee
collection PubMed
description Background: In 2013, public health moved into Local Authorities, but initial optimism has been overtaken by serious ongoing financial constraints and an uncertain future. Hard choices have become an everyday reality across local authorities and for their public health teams. Assessing the return-on-investment of public health interventions and possessing economic evaluation skills have become more critical than ever before. Methods: Using the New Economy cost-benefits-analysis model developed at the Greater Manchester Combined Authority, we undertook cost benefit analyses of some of our largest areas of commissioned spend in local public health practice to better understand both the public and fiscal returns of our interventions. Results: The cost-benefit analyses indicated considerable variation in the public (economic and social) returns-on-investment for our spend on services purchased as a commissioner with £1.37 to 6.81 returned for every £1 spent, and a fiscal return for every £1 invested of between £0.54 and 1.37. Additionally, the fiscal benefits (reduced service costs) of these public health interventions appear to primarily flow to the NHS, which accounts for about 94% of the fiscal return. Conclusion: While cost-benefit modeling cannot provide a complete picture of “value,” it does provide decision-makers with a transparent metric that facilitates a whole-of system discussion on “intervention value” and prevention at scale investments. This approach will support investment strategies when implementing Sustainability and Transformation Partnerships and Integrated Care Systems. However, these tools should be used to support robust decision-making processes, not as a replacement for or a short-circuiting of existing processes.
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spelling pubmed-66099062019-07-17 Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach Robertson, Lee Skelly, Chris Phillips, David Front Public Health Public Health Background: In 2013, public health moved into Local Authorities, but initial optimism has been overtaken by serious ongoing financial constraints and an uncertain future. Hard choices have become an everyday reality across local authorities and for their public health teams. Assessing the return-on-investment of public health interventions and possessing economic evaluation skills have become more critical than ever before. Methods: Using the New Economy cost-benefits-analysis model developed at the Greater Manchester Combined Authority, we undertook cost benefit analyses of some of our largest areas of commissioned spend in local public health practice to better understand both the public and fiscal returns of our interventions. Results: The cost-benefit analyses indicated considerable variation in the public (economic and social) returns-on-investment for our spend on services purchased as a commissioner with £1.37 to 6.81 returned for every £1 spent, and a fiscal return for every £1 invested of between £0.54 and 1.37. Additionally, the fiscal benefits (reduced service costs) of these public health interventions appear to primarily flow to the NHS, which accounts for about 94% of the fiscal return. Conclusion: While cost-benefit modeling cannot provide a complete picture of “value,” it does provide decision-makers with a transparent metric that facilitates a whole-of system discussion on “intervention value” and prevention at scale investments. This approach will support investment strategies when implementing Sustainability and Transformation Partnerships and Integrated Care Systems. However, these tools should be used to support robust decision-making processes, not as a replacement for or a short-circuiting of existing processes. Frontiers Media S.A. 2019-06-28 /pmc/articles/PMC6609906/ /pubmed/31316957 http://dx.doi.org/10.3389/fpubh.2019.00147 Text en Copyright © 2019 Robertson, Skelly and Phillips. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Robertson, Lee
Skelly, Chris
Phillips, David
Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach
title Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach
title_full Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach
title_fullStr Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach
title_full_unstemmed Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach
title_short Making Hard Choices in Local Public Health Spending With a Cost-Benefit Analysis Approach
title_sort making hard choices in local public health spending with a cost-benefit analysis approach
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609906/
https://www.ncbi.nlm.nih.gov/pubmed/31316957
http://dx.doi.org/10.3389/fpubh.2019.00147
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