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From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis

The launch of ‘Rapid Recommendations’ by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) group, in collaboration with Making GRADE the Irresistible Choice (MAGIC) and the British Medical Journal (BMJ), is a very interesting recent development in e-healthcare. Designed t...

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Detalles Bibliográficos
Autores principales: Dowie, Jack, Kaltoft, Mette Kjer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313661/
https://www.ncbi.nlm.nih.gov/pubmed/30501062
http://dx.doi.org/10.3390/medsci6040109
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author Dowie, Jack
Kaltoft, Mette Kjer
author_facet Dowie, Jack
Kaltoft, Mette Kjer
author_sort Dowie, Jack
collection PubMed
description The launch of ‘Rapid Recommendations’ by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) group, in collaboration with Making GRADE the Irresistible Choice (MAGIC) and the British Medical Journal (BMJ), is a very interesting recent development in e-healthcare. Designed to respond quickly to developments that have created new decision situations, their first project resulted from the arrival of minimally invasive Transcatheter Aortic Valve Implantation (TAVI) as an alternative to Surgical Aortic Valve Replacement (SAVR), for patients with symptomatic severe aortic stenosis. The interactive MAGIC decision aid that accompanies a Rapid Recommendation and is the main route to its clinical implementation, represents a major advance in e-health, for a cardiovascular decision in this case. However, it needs to go further in order to facilitate fully person-centred care, where the weighted preferences of the individual person are elicited at the point of decision, and transparently integrated with the best (most personalised) estimates of option performances, to produce personalised, preference-sensitive option evaluations. This can be achieved by inputting the collated GRADE evidence on the criteria relevant in the TAVI/SAVR choice into a Multi-Criteria Decision Analysis-based decision support tool, generating a personalised, preference-sensitive opinion. A demonstration version of this add-on to the MAGIC aid, divested of recommendations, is available online as proof of method.
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spelling pubmed-63136612019-01-04 From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis Dowie, Jack Kaltoft, Mette Kjer Med Sci (Basel) Perspective The launch of ‘Rapid Recommendations’ by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) group, in collaboration with Making GRADE the Irresistible Choice (MAGIC) and the British Medical Journal (BMJ), is a very interesting recent development in e-healthcare. Designed to respond quickly to developments that have created new decision situations, their first project resulted from the arrival of minimally invasive Transcatheter Aortic Valve Implantation (TAVI) as an alternative to Surgical Aortic Valve Replacement (SAVR), for patients with symptomatic severe aortic stenosis. The interactive MAGIC decision aid that accompanies a Rapid Recommendation and is the main route to its clinical implementation, represents a major advance in e-health, for a cardiovascular decision in this case. However, it needs to go further in order to facilitate fully person-centred care, where the weighted preferences of the individual person are elicited at the point of decision, and transparently integrated with the best (most personalised) estimates of option performances, to produce personalised, preference-sensitive option evaluations. This can be achieved by inputting the collated GRADE evidence on the criteria relevant in the TAVI/SAVR choice into a Multi-Criteria Decision Analysis-based decision support tool, generating a personalised, preference-sensitive opinion. A demonstration version of this add-on to the MAGIC aid, divested of recommendations, is available online as proof of method. MDPI 2018-11-29 /pmc/articles/PMC6313661/ /pubmed/30501062 http://dx.doi.org/10.3390/medsci6040109 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
Dowie, Jack
Kaltoft, Mette Kjer
From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis
title From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis
title_full From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis
title_fullStr From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis
title_full_unstemmed From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis
title_short From Rapid Recommendation to Online Preference-Sensitive Decision Support: The Case of Severe Aortic Stenosis
title_sort from rapid recommendation to online preference-sensitive decision support: the case of severe aortic stenosis
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313661/
https://www.ncbi.nlm.nih.gov/pubmed/30501062
http://dx.doi.org/10.3390/medsci6040109
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