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BioMed Research International
Volume 2015, Article ID 191809, 9 pages
http://dx.doi.org/10.1155/2015/191809
Research Article

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

Department of Epidemiology, University of Groningen, University Medical Center Groningen, 9700 RB Groningen, Netherlands

Received 20 March 2015; Revised 14 May 2015; Accepted 17 May 2015

Academic Editor: Giuseppe Biondi-Zoccai

Copyright © 2015 Gimon de Graaf et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. U. Adams, “Building the bridge from bench to bedside,” Nature Reviews Drug Discovery, vol. 7, no. 6, pp. 463–464, 2008. View at Publisher · View at Google Scholar · View at Scopus
  2. D. Butler, “Crossing the valley of death,” Nature, vol. 453, no. 12, pp. 840–842, 2008. View at Google Scholar
  3. V. Belton and T. Stewart, Multiple Criteria Decision Analysis: An Integrated Approach, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002.
  4. A. D. Henriksen and A. J. Traynor, “A practical R&D project-selection scoring tool,” IEEE Transactions on Engineering Management, vol. 46, no. 2, pp. 158–170, 1999. View at Publisher · View at Google Scholar · View at Scopus
  5. C.-C. Huang, P.-Y. Chu, and Y.-H. Chiang, “A fuzzy AHP application in government-sponsored R&D project selection,” Omega, vol. 36, no. 6, pp. 1038–1052, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Lahdelma, K. Miettinen, and P. Salminen, “Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA),” European Journal of Operational Research, vol. 147, no. 1, pp. 117–127, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  7. R. Lahdelma, J. Hokkanen, and P. Salminen, “SMAA—stochastic multiobjective acceptability analysis,” European Journal of Operational Research, vol. 106, no. 1, pp. 137–143, 1998. View at Publisher · View at Google Scholar · View at Scopus
  8. R. Lahdelma and P. Salminen, “SMAA-2: stochastic multicriteria acceptability analysis for group decision making,” Operations Research, vol. 49, no. 3, pp. 444–454, 2001. View at Publisher · View at Google Scholar · View at Scopus
  9. S. van Dieren, J. W. J. Beulens, Y. T. van Der Schouw, D. E. Grobbee, and B. Neal, “The global burden of diabetes and its complications: an emerging pandemic,” European Journal of Cardiovascular Prevention and Rehabilitation, vol. 17, supplement 1, pp. S3–S8, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. M. J. Fowler, “Microvascular and macrovascular complications of diabetes,” Clinical Diabetes, vol. 26, no. 2, pp. 77–82, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. E. Cosh, A. Girling, R. Lilford, H. McAteer, and T. Young, “Investing in new medical technologies: a decision framework,” Journal of Commercial Biotechnology, vol. 13, no. 4, pp. 263–271, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Jacobs-van der Bruggen, P. Engelfriet, G. Bos, R. T. Hoogenveen, T. L. Feenstra, and C. A. Baan, “Opportunities for preventing diabetes and its cardiovascular complications. A modelling approach,” RIVM Report 260801004, Rijksinstituut voor Volksgezondheid en Milieu (RIVM), Bilthoven, The Netherlands, 2007. View at Google Scholar
  13. N. van Os, L. W. Niessen, H. J. G. Bilo, A. F. Casparie, and B. A. van Hout, “Diabetes nephropathy in the Netherlands: a cost effectiveness analysis of national clinical guidelines,” Health Policy, vol. 51, no. 3, pp. 135–147, 2000. View at Publisher · View at Google Scholar · View at Scopus
  14. P. T. Sawicki, “Screening for diabetes: hope and despair,” Diabetologia, vol. 55, no. 6, pp. 1568–1571, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. W. K. Redekop, M. A. Koopmanschap, G. E. H. M. Rutten, B. H. R. Wolffenbuttel, R. P. Stolk, and L. W. Niessen, “Resource consumption and costs in Dutch patients with Type 2 diabetes mellitus. Results from 29 general practices,” Diabetic Medicine, vol. 19, no. 3, pp. 246–253, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Alssema, E. J. M. Feskens, S. J. L. Bakker et al., “Finse vragenlijst redelijk goede voorspeller van het optreden van diabetes in Nederland,” Nederlands Tijdschrift voor Geneeskunde, vol. 152, no. 44, pp. 2418–2424, 2008. View at Google Scholar
  17. R. Baltussen and L. Niessen, “Priority setting of health interventions: the need for multi-criteria decision analysis,” Cost Effectiveness and Resource Allocation, vol. 4, article 14, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Postmus, G. de Graaf, H. L. Hillege, E. W. Steyerberg, and E. Buskens, “A method for the early health technology assessment of novel biomarker measurement in primary prevention programs,” Statistics in Medicine, vol. 31, no. 23, pp. 2733–2744, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. Q. Cao, D. Postmus, H. L. Hillege, and E. Buskens, “Probability elicitation to inform early health economic evaluations of new medical technologies: a case study in heart failure disease management,” Value in Health, vol. 16, no. 4, pp. 529–535, 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. J. B. Pietzsch and M. E. Paté-Cornell, “Early technology assessment of new medical devices,” International Journal of Technology Assessment in Health Care, vol. 24, no. 1, pp. 36–44, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. M. J. Ijzerman and L. M. G. Steuten, “Early assessment of medical technologies to inform product development and market access: a review of methods and applications,” Applied Health Economics and Health Policy, vol. 9, no. 5, pp. 331–347, 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. T. Tervonen, G. van Valkenhoef, N. Baştürk, and D. Postmus, “Hit-And-Run enables efficient weight generation for simulation-based multiple criteria decision analysis,” European Journal of Operational Research, vol. 224, no. 3, pp. 552–559, 2013. View at Publisher · View at Google Scholar · View at Scopus