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Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency
Aim: In this article, we aim to present a tool for the early assessment of medical technologies. This evaluation system was designed and implemented by the National Centre for HTA and the National Centre for Innovative Technologies of the Istituto Superiore di Sanita, Italy, in order to respond to a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662805/ https://www.ncbi.nlm.nih.gov/pubmed/33114587 http://dx.doi.org/10.3390/ijerph17217823 |
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author | Ruggeri, Matteo Cadeddu, Chiara Roazzi, Paolo Mandolini, Donatella Grigioni, Mauro Marchetti, Marco |
author_facet | Ruggeri, Matteo Cadeddu, Chiara Roazzi, Paolo Mandolini, Donatella Grigioni, Mauro Marchetti, Marco |
author_sort | Ruggeri, Matteo |
collection | PubMed |
description | Aim: In this article, we aim to present a tool for the early assessment of medical technologies. This evaluation system was designed and implemented by the National Centre for HTA and the National Centre for Innovative Technologies of the Istituto Superiore di Sanita, Italy, in order to respond to an institutional commitment within the “Health Technologies Assessment Team” that was established to face the huge demand for the evaluation of Health Technologies during the pandemic event caused by COVID-19, with a smart and easy-to-use framework. Methods: Horizon scanning was conducted through a brief assessment carried out according to the multicriteria decision analysis methodology. Each HTA domain was attributed a score according to a pros/cons and opportunities/threats system, derived from evidence in the literature. Scores were weighted according to different perspectives. Scores were presented in a Cartesian graph showing the positioning according to the potential value and the perceived risk associated with the technology. Results: Two case studies regarding the early assessment were reported, concerning two specific technologies: an individual protection device and a contact tracking system. |
format | Online Article Text |
id | pubmed-7662805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76628052020-11-14 Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency Ruggeri, Matteo Cadeddu, Chiara Roazzi, Paolo Mandolini, Donatella Grigioni, Mauro Marchetti, Marco Int J Environ Res Public Health Article Aim: In this article, we aim to present a tool for the early assessment of medical technologies. This evaluation system was designed and implemented by the National Centre for HTA and the National Centre for Innovative Technologies of the Istituto Superiore di Sanita, Italy, in order to respond to an institutional commitment within the “Health Technologies Assessment Team” that was established to face the huge demand for the evaluation of Health Technologies during the pandemic event caused by COVID-19, with a smart and easy-to-use framework. Methods: Horizon scanning was conducted through a brief assessment carried out according to the multicriteria decision analysis methodology. Each HTA domain was attributed a score according to a pros/cons and opportunities/threats system, derived from evidence in the literature. Scores were weighted according to different perspectives. Scores were presented in a Cartesian graph showing the positioning according to the potential value and the perceived risk associated with the technology. Results: Two case studies regarding the early assessment were reported, concerning two specific technologies: an individual protection device and a contact tracking system. MDPI 2020-10-26 2020-11 /pmc/articles/PMC7662805/ /pubmed/33114587 http://dx.doi.org/10.3390/ijerph17217823 Text en © 2020 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 | Article Ruggeri, Matteo Cadeddu, Chiara Roazzi, Paolo Mandolini, Donatella Grigioni, Mauro Marchetti, Marco Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency |
title | Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency |
title_full | Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency |
title_fullStr | Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency |
title_full_unstemmed | Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency |
title_short | Multi–Criteria–Decision–Analysis (MCDA) for the Horizon Scanning of Health Innovations an Application to COVID 19 Emergency |
title_sort | multi–criteria–decision–analysis (mcda) for the horizon scanning of health innovations an application to covid 19 emergency |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662805/ https://www.ncbi.nlm.nih.gov/pubmed/33114587 http://dx.doi.org/10.3390/ijerph17217823 |
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