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Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications
BACKGROUND: Healthcare decisionmaking is a complex process relying on disparate types of evidence and value judgments. Our objectives for this study were to develop a practical framework to facilitate decisionmaking in terms of supporting the deliberative process, providing access to evidence, and e...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2673218/ https://www.ncbi.nlm.nih.gov/pubmed/19102752 http://dx.doi.org/10.1186/1472-6963-8-270 |
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author | Goetghebeur, Mireille M Wagner, Monika Khoury, Hanane Levitt, Randy J Erickson, Lonny J Rindress, Donna |
author_facet | Goetghebeur, Mireille M Wagner, Monika Khoury, Hanane Levitt, Randy J Erickson, Lonny J Rindress, Donna |
author_sort | Goetghebeur, Mireille M |
collection | PubMed |
description | BACKGROUND: Healthcare decisionmaking is a complex process relying on disparate types of evidence and value judgments. Our objectives for this study were to develop a practical framework to facilitate decisionmaking in terms of supporting the deliberative process, providing access to evidence, and enhancing the communication of decisions. METHODS: Extensive analyses of the literature and of documented decisionmaking processes around the globe were performed to explore what steps are currently used to make decisions with respect to context (from evidence generation to communication of decision) and thought process (conceptual components of decisions). Needs and methodologies available to support decisionmaking were identified to lay the groundwork for the EVIDEM framework. RESULTS: A framework was developed consisting of seven modules that can evolve over the life cycle of a healthcare intervention. Components of decision that could be quantified, i.e., intrinsic value of a healthcare intervention and quality of evidence available, were organized into matrices. A multicriteria decision analysis (MCDA) Value Matrix (VM) was developed to include the 15 quantifiable components that are currently considered in decisionmaking. A methodology to synthesize the evidence needed for each component of the VM was developed including electronic access to full text source documents. A Quality Matrix was designed to quantify three criteria of quality for the 12 types of evidence usually required by decisionmakers. An integrated system was developed to optimize data analysis, synthesis and validation by experts, compatible with a collaborative structure. CONCLUSION: The EVIDEM framework promotes transparent and efficient healthcare decisionmaking through systematic assessment and dissemination of the evidence and values on which decisions are based. It provides a collaborative framework that could connect all stakeholders and serve the healthcare community at local, national and international levels by allowing sharing of data, resources and values. Validation and further development is needed to explore the full potential of this approach. |
format | Text |
id | pubmed-2673218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26732182009-04-27 Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications Goetghebeur, Mireille M Wagner, Monika Khoury, Hanane Levitt, Randy J Erickson, Lonny J Rindress, Donna BMC Health Serv Res Technical Advance BACKGROUND: Healthcare decisionmaking is a complex process relying on disparate types of evidence and value judgments. Our objectives for this study were to develop a practical framework to facilitate decisionmaking in terms of supporting the deliberative process, providing access to evidence, and enhancing the communication of decisions. METHODS: Extensive analyses of the literature and of documented decisionmaking processes around the globe were performed to explore what steps are currently used to make decisions with respect to context (from evidence generation to communication of decision) and thought process (conceptual components of decisions). Needs and methodologies available to support decisionmaking were identified to lay the groundwork for the EVIDEM framework. RESULTS: A framework was developed consisting of seven modules that can evolve over the life cycle of a healthcare intervention. Components of decision that could be quantified, i.e., intrinsic value of a healthcare intervention and quality of evidence available, were organized into matrices. A multicriteria decision analysis (MCDA) Value Matrix (VM) was developed to include the 15 quantifiable components that are currently considered in decisionmaking. A methodology to synthesize the evidence needed for each component of the VM was developed including electronic access to full text source documents. A Quality Matrix was designed to quantify three criteria of quality for the 12 types of evidence usually required by decisionmakers. An integrated system was developed to optimize data analysis, synthesis and validation by experts, compatible with a collaborative structure. CONCLUSION: The EVIDEM framework promotes transparent and efficient healthcare decisionmaking through systematic assessment and dissemination of the evidence and values on which decisions are based. It provides a collaborative framework that could connect all stakeholders and serve the healthcare community at local, national and international levels by allowing sharing of data, resources and values. Validation and further development is needed to explore the full potential of this approach. BioMed Central 2008-12-22 /pmc/articles/PMC2673218/ /pubmed/19102752 http://dx.doi.org/10.1186/1472-6963-8-270 Text en Copyright © 2008 Goetghebeur 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 | Technical Advance Goetghebeur, Mireille M Wagner, Monika Khoury, Hanane Levitt, Randy J Erickson, Lonny J Rindress, Donna Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications |
title | Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications |
title_full | Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications |
title_fullStr | Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications |
title_full_unstemmed | Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications |
title_short | Evidence and Value: Impact on DEcisionMaking – the EVIDEM framework and potential applications |
title_sort | evidence and value: impact on decisionmaking – the evidem framework and potential applications |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2673218/ https://www.ncbi.nlm.nih.gov/pubmed/19102752 http://dx.doi.org/10.1186/1472-6963-8-270 |
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