scholarly journals Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Gimon de Graaf ◽  
Douwe Postmus ◽  
Erik Buskens
Keyword(s):  
Decision Analysis ◽  
Translational Research ◽  
Priority Setting ◽  
Ordinal Data ◽  
Multicriteria Decision Analysis ◽  
Published Data ◽  
Problem Structuring ◽  
Multicriteria Decision ◽  
Decision Context ◽  
Research Consortium

Translational research is conducted to achieve a predefined set of economic or societal goals. As a result, investment decisions on where available resources have the highest potential in achieving these goals have to be made. In this paper, we first describe how multicriteria decision analysis can assist in defining the decision context and in ensuring that all relevant aspects of the decision problem are incorporated in the decision making process. We then present the results of a case study to support priority setting in a translational research consortium aimed at reducing the burden of disease of type 2 diabetes. During problem structuring, we identified four research alternatives (primary, secondary, tertiary microvascular, and tertiary macrovascular prevention) and a set of six decision criteria. Scoring of these alternatives against the criteria was done using a combination of expert judgement and previously published data. Lastly, decision analysis was performed using stochastic multicriteria acceptability analysis, which allows for the combined use of numerical and ordinal data. We found that the development of novel techniques applied in secondary prevention would be a poor investment of research funds. The ranking of the remaining alternatives was however strongly dependent on the decision maker’s preferences for certain criteria.

scholarly journals Health care priority setting in Norway a multicriteria decision analysis

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Thierry Defechereux ◽  
Francesco Paolucci ◽  
Andrew Mirelman ◽  
Sitaporn Youngkong ◽  
Grete Botten ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Analysis ◽  
Priority Setting ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Health Care Priority Setting

scholarly journals Rehabilitation of an Industrial Water Main Using Multicriteria Decision Analysis

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3180
Author(s):  
Nelson Carriço ◽  
Dídia Covas ◽  
Maria do Céu Almeida
Keyword(s):  
Decision Analysis ◽  
Robustness Analysis ◽  
Multicriteria Decision Analysis ◽  
Industrial Water ◽  
Pipe Failure ◽  
Problem Structuring ◽  
Multicriteria Decision ◽  
Assessment Metrics ◽  
Water Main ◽  
Selection Of

This paper demonstrates the application of multicriteria decision analysis (MCDA) methodology in a real case study aiming to choose the best rehabilitation intervention of an industrial water main. This methodology is composed of three main stages: problem identification, structuring, and evaluation. Problem structuring, a crucial stage for the outcomes, includes identifying objectives, selecting scenarios within the analysis period, defining problem alternatives, and defining the problematic type. Problem evaluation includes the selection of assessment metrics, selection of the aggregation method, application of the method, and a sensitivity and robustness analysis. Two scenarios, nine assessment metrics, and seven alternatives are established, and two ranking methods (the additive model and ELECTRE III method) are used to compare the alternatives. The results show that the best solution corresponds to building a new pipe and deactivating the existing one, as it significantly reduces the pipe failure risk and O&M costs, whereas the worst solution is always the status quo case, since it is the only alternative that does not improve the system performance, independently of the ranking method and the analyzed scenario.

EVALUATION OF ECO-EFFICIENCY BY MULTICRITERIA DECISION ANALYSIS. CASE STUDY OF ECO-INNOVATED AND ECO-DESIGNED PRODUCTS FROM RECYCLABLE WASTE

2018 ◽  
Vol 17 (8) ◽  
pp. 1791-1804 ◽  
Author(s):  
Maria Gavrilescu ◽  
Elena-Diana Comanita ◽  
Petronela Cozma ◽  
Isabela Maria Simion ◽  
Mihaela Rosca
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision

The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review

2021 ◽  
pp. 0272989X2110190
Author(s):  
Ilyas Khan ◽  
Liliane Pintelon ◽  
Harry Martin
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Decision Analysis ◽  
Medical Devices ◽  
Hybrid Methods ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Health Care Decision ◽  
Wide Range ◽  
Care Decision

Objectives The main objectives of this article are 2-fold. First, we explore the application of multicriteria decision analysis (MCDA) methods in different areas of health care, particularly the adoption of various MCDA methods across health care decision making problems. Second, we report on the publication trends on the application of MCDA methods in health care. Method PubMed was searched for literature from 1960 to 2019 in the English language. A wide range of keywords was used to retrieve relevant studies. The literature search was performed in September 2019. Articles were included only if they have reported an MCDA case in health care. Results and Conclusion The search yielded 8,318 abstracts, of which 158 fulfilled the inclusion criteria and were considered for further analysis. Hybrid methods are the most widely used methods in health care decision making problems. When it comes to single methods, analytic hierarchy process (AHP) is the most widely used method followed by TOPSIS (technique for order preference by similarity to ideal solution), multiattribute utility theory, goal programming, EVIDEM (evidence and value: impact on decision making), evidential reasoning, discrete choice experiment, and so on. Interestingly, the usage of hybrid methods has been high in recent years. AHP is most widely applied in screening and diagnosing and followed by treatment, medical devices, resource allocation, and so on. Furthermore, treatment, screening and diagnosing, medical devices, and drug development and assessment got more attention in the MCDA context. It is indicated that the application of MCDA methods to health care decision making problem is determined by the nature and complexity of the health care problem. However, guidelines and tools exist that assist in the selection of an MCDA method.

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