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A multicriteria resource allocation model for the redesign of services following birth
BACKGROUND: Many healthcare services are under considerable pressure to reduce costs while improving quality. This is particularly true in the United Kingdom’s National Health Service where postnatal care is sometimes viewed as having a low priority. There is much debate about the service’s redesign...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106921/ https://www.ncbi.nlm.nih.gov/pubmed/30134882 http://dx.doi.org/10.1186/s12913-018-3430-1 |
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author | Bowers, John Cheyne, Helen Mould, Gillian Miller, Martin Page, Miranda Harris, Fiona Bick, Debra |
author_facet | Bowers, John Cheyne, Helen Mould, Gillian Miller, Martin Page, Miranda Harris, Fiona Bick, Debra |
author_sort | Bowers, John |
collection | PubMed |
description | BACKGROUND: Many healthcare services are under considerable pressure to reduce costs while improving quality. This is particularly true in the United Kingdom’s National Health Service where postnatal care is sometimes viewed as having a low priority. There is much debate about the service’s redesign and the reallocation of resources, both along care pathways and between groups of mothers and babies with different needs. The aim of this study was to develop a decision support tool that would encourage a systemic approach to service redesign and that could assess the various quality and financial implications of service change options making the consequent trade-offs explicit. The paper describes the development process and an initial implementation as a preliminary exploration of the possible merits of this approach. METHODS: Other studies have suggested that combining multicriteria decision analysis with programme budgeting and marginal analysis might offer a suitable basis for resource allocation decisions in healthcare systems. The Postnatal care Resource Allocation Model incorporated this approach in a decision support tool to analyse the consequences of varying design parameters, notably staff contacts and time, on the various quality domains and costs. The initial phase of the study focussed on mapping postnatal care, involving interviews and workshops with a variety of stakeholders. This was supplemented with a literature review and the resultant knowledge base was encoded in the decision support tool. The model was then tested with various stakeholders before being used in an NHS Trust in England. RESULTS: The model provides practical support, helping staff explore options and articulate their proposals for the redesign of postnatal care. The integration of cost and quality domains facilitates trade-offs, allowing staff to explore the benefits of reallocating resources between hospital and community-based care, and different patient-categories. CONCLUSIONS: The main benefits of the model include its structure for assembling the key data, sharing evidence amongst multi-professional teams and encouraging constructive, systemic debate. Although the model was developed in the context of the routine maternity services for mothers and babies in the days following birth it could be adapted for use in other health care services. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3430-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6106921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61069212018-08-29 A multicriteria resource allocation model for the redesign of services following birth Bowers, John Cheyne, Helen Mould, Gillian Miller, Martin Page, Miranda Harris, Fiona Bick, Debra BMC Health Serv Res Technical Advance BACKGROUND: Many healthcare services are under considerable pressure to reduce costs while improving quality. This is particularly true in the United Kingdom’s National Health Service where postnatal care is sometimes viewed as having a low priority. There is much debate about the service’s redesign and the reallocation of resources, both along care pathways and between groups of mothers and babies with different needs. The aim of this study was to develop a decision support tool that would encourage a systemic approach to service redesign and that could assess the various quality and financial implications of service change options making the consequent trade-offs explicit. The paper describes the development process and an initial implementation as a preliminary exploration of the possible merits of this approach. METHODS: Other studies have suggested that combining multicriteria decision analysis with programme budgeting and marginal analysis might offer a suitable basis for resource allocation decisions in healthcare systems. The Postnatal care Resource Allocation Model incorporated this approach in a decision support tool to analyse the consequences of varying design parameters, notably staff contacts and time, on the various quality domains and costs. The initial phase of the study focussed on mapping postnatal care, involving interviews and workshops with a variety of stakeholders. This was supplemented with a literature review and the resultant knowledge base was encoded in the decision support tool. The model was then tested with various stakeholders before being used in an NHS Trust in England. RESULTS: The model provides practical support, helping staff explore options and articulate their proposals for the redesign of postnatal care. The integration of cost and quality domains facilitates trade-offs, allowing staff to explore the benefits of reallocating resources between hospital and community-based care, and different patient-categories. CONCLUSIONS: The main benefits of the model include its structure for assembling the key data, sharing evidence amongst multi-professional teams and encouraging constructive, systemic debate. Although the model was developed in the context of the routine maternity services for mothers and babies in the days following birth it could be adapted for use in other health care services. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3430-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-22 /pmc/articles/PMC6106921/ /pubmed/30134882 http://dx.doi.org/10.1186/s12913-018-3430-1 Text en © The Author(s). 2018 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 | Technical Advance Bowers, John Cheyne, Helen Mould, Gillian Miller, Martin Page, Miranda Harris, Fiona Bick, Debra A multicriteria resource allocation model for the redesign of services following birth |
title | A multicriteria resource allocation model for the redesign of services following birth |
title_full | A multicriteria resource allocation model for the redesign of services following birth |
title_fullStr | A multicriteria resource allocation model for the redesign of services following birth |
title_full_unstemmed | A multicriteria resource allocation model for the redesign of services following birth |
title_short | A multicriteria resource allocation model for the redesign of services following birth |
title_sort | multicriteria resource allocation model for the redesign of services following birth |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106921/ https://www.ncbi.nlm.nih.gov/pubmed/30134882 http://dx.doi.org/10.1186/s12913-018-3430-1 |
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