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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

European Journal of Operational Research

ISSN

0377-2217

e-ISSN

—

Svazek periodika

247

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

13

Strana od-do

216-228

Kód UT WoS článku

000358391900020

EID výsledku v databázi Scopus

2-s2.0-84937515110