Publication

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

de Graaf, G., Postmus, D. & Buskens, E., 2015, In : Biomed Research International. 2015, 9 p., 191809.

Research output: Contribution to journalArticleAcademicpeer-review

APA

de Graaf, G., Postmus, D., & Buskens, E. (2015). Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects. Biomed Research International, 2015, [191809]. https://doi.org/10.1155/2015/191809

Author

de Graaf, Gimon ; Postmus, Douwe ; Buskens, Erik. / Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects. In: Biomed Research International. 2015 ; Vol. 2015.

Harvard

de Graaf, G, Postmus, D & Buskens, E 2015, 'Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects', Biomed Research International, vol. 2015, 191809. https://doi.org/10.1155/2015/191809

Standard

Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects. / de Graaf, Gimon; Postmus, Douwe; Buskens, Erik.

In: Biomed Research International, Vol. 2015, 191809, 2015.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

de Graaf G, Postmus D, Buskens E. Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects. Biomed Research International. 2015;2015. 191809. https://doi.org/10.1155/2015/191809


BibTeX

@article{27ef4e53339e41c89265f8db42ecc2be,
title = "Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects",
abstract = "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.",
keywords = "ACCEPTABILITY ANALYSIS, TECHNOLOGY-ASSESSMENT, NETHERLANDS, SELECTION, CRITERIA, SMAA",
author = "{de Graaf}, Gimon and Douwe Postmus and Erik Buskens",
year = "2015",
doi = "10.1155/2015/191809",
language = "English",
volume = "2015",
journal = "Biomed Research International",
issn = "2314-6133",
publisher = "HINDAWI LTD",

}

RIS

TY - JOUR

T1 - Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects

AU - de Graaf, Gimon

AU - Postmus, Douwe

AU - Buskens, Erik

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - ACCEPTABILITY ANALYSIS

KW - TECHNOLOGY-ASSESSMENT

KW - NETHERLANDS

KW - SELECTION

KW - CRITERIA

KW - SMAA

U2 - 10.1155/2015/191809

DO - 10.1155/2015/191809

M3 - Article

VL - 2015

JO - Biomed Research International

JF - Biomed Research International

SN - 2314-6133

M1 - 191809

ER -

ID: 25409470