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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6313661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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