Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F15%3A00230376" target="_blank" >RIV/68407700:21460/15:00230376 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.ejor.2015.05.075" target="_blank" >http://dx.doi.org/10.1016/j.ejor.2015.05.075</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ejor.2015.05.075" target="_blank" >10.1016/j.ejor.2015.05.075</a>

Result language

angličtina

Original language name

Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty

Original language description

Innovative approaches to the assessment and management of medical technologies use a combination of health technology assessment (HTA) and operations research methods, specifically multiple-criteria decision analysis (MCDA). The purpose of this article is to develop methodological support and provide a theoretical justification for decision support in the selection of medical devices under conditions of uncertainty, using MRI systems as an example. The goal of the method application has been formulated as follows: determine a ranked list of MRI systems for contributory health organisations administered by regional authorities (regional hospitals) in the Czech Republic. An analytic hierarchy process (AHP) and the Delphi method were used to identify experts’ preferences and for consensus building. The expert group was selected based on eight complex-valued criteria, and each expert was given a weighting factor. A set of 13 MRI systems and the 14 key default specifications that play the most important roles when hospitals select MRIs for purchase were defined. Strong conformity (W >= 0.6, p < 0.05) within the experts' judgments was revealed. A prediction regarding alternatives, weights and changes in priority vectors over the following 8 years has been provided. The developed approach is useful in decision support when selecting medical devices under conditions of uncertainty by hospitals.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Journal of Operational Research

ISSN

0377-2217

e-ISSN

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Volume of the periodical

247

Issue of the periodical within the volume

1

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

13

Pages from-to

216-228

UT code for WoS article

000358391900020

EID of the result in the Scopus database

2-s2.0-84937515110