Making Good Decisions in Healthcare with Multi-Criteria Decision Analysis: The Use, Current Research and Future Development of MCDA

Applied Health Economics and Health Policy

Volumn 14, Issue 1, 2016, Pages 29-40

  Mühlbacher, Axel C ^a,b,c   Kaczynski, Anika ^a  

^a Hochschule Neubrandenburg   (Germany)

^b GEB MbH   (Germany)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACHIEVEMENT; DECISION SUPPORT SYSTEM; HUMAN; MEDICAL RESEARCH; MULTI CRITERIA DECISION ANALYSIS; PRACTICE GUIDELINE; REIMBURSEMENT; RESEARCH PRIORITY; REVIEW; BIOMEDICAL TECHNOLOGY ASSESSMENT; DECISION MAKING; HEALTH SERVICES RESEARCH; ORGANIZATION; PROCEDURES; TRENDS;

DECISION MAKING; DECISION MAKING, ORGANIZATIONAL; HEALTH SERVICES RESEARCH; HUMANS; ORGANIZATIONAL OBJECTIVES; TECHNOLOGY ASSESSMENT, BIOMEDICAL;

EID: 84958113074     PISSN: 11755652     EISSN: 11791896     Source Type: Journal    
DOI: 10.1007/s40258-015-0203-4     Document Type: Review

References (70)

1. Marsh K, et al. Assessing the value of healthcare interventions using multi-criteria decision analysis: a review of the literature. PharmacoEconomics. 2014;32(4):345–65.
2. International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Multi-criteria decision analysis in health care decision makingdecision-making emerging good practices task force. 2015. Available from: http://www.ispor.org/TaskForces/Multi-Criteria-Decision-Analysis-Bgr.asp. Accessed 15 May 2015.
3. Nuijten MJC, Dubois DJ. Cost-utility analysis: current methodological issues and future perspectives. Front Pharmacol. 2011;2:29.
4. Wahlster P, et al. Balancing costs and benefits at different stages of medical innovation: a systematic review of Multi-criteria decision analysis (MCDA). BMC Health Serv Res. 2015;15(1):262.
5. Figueira JM, Ehrogott, Greco S. Multiple criteria decision analysis: State of the Art Surveys, in international series in operations research and management science 78. New York: Springer Science + Business Media; 2005.
6. Goetghebeur MM, et al. Evidence and value: impact on DEcisionMaking–the EVIDEM framework and potential applications. BMC Health Serv Res. 2008;8:270.
7. Goetghebeur MM, et al. Combining multicriteria decision analysis, ethics and health technology assessment: applying the EVIDEM decision-making framework to growth hormone for Turner syndrome patients. Cost Eff Resour Alloc. 2010;8:4.
8. Hummel JM, et al. A multicriteria decision analysis of augmentative treatment of upper limbs in persons with tetraplegia. J Rehabil Res Dev. 2005;42(5):635–44.
9. Nutt DJ, et al. Drug harms in the UK: a multicriteria decision analysis. Lancet. 2010;376(9752):1558–65.
10. Tervonen T, Figueira JR. A survey on stochastic multicriteria acceptability analysis methods. J Mult Crit Decis Anal. 2008;15(1–2):1–14.
11. Facey K, et al. Patients’ perspectives in health technology assessment: a route to robust evidence and fair deliberation. Int J Technol Assess Health Care. 2010;26(3):334–40.
12. Mühlbacher AC. Patient-centric HTA: different strokes for different folks. Expert Rev Pharmacoecon Outcomes Res. 2015;15(4):591–7.
13. Keeney RL, Raiffa H. Decision analysis with multiple conflicting objectives. New York: Wiley; 1976.
14. Belton V, Stewart T. Problem structuring and multiple criteria decision analysis, in Trends in multiple criteria decision analysis. 2010. London: Springer, pp. 209–39.
15. Devlin N, Sussex J. Incorporating multiple criteria in HTA: methods and processes. London: Off Health Econ; 2011.
16. Baltussen R, Niessen L. Priority setting of health interventions: the need for multi-criteria decision analysis. Cost Effect Res Alloc. 2006;4(1):14.
17. Dolan JG. Multi-criteria clinical decision support: A primer on the use of multiple criteria decision makingdecision-making methods to promote evidence-based, patient-centered healthcare. Patient. 2010;3(4):229–48.
18. Belton V, Stewart TJ. Multiple criteria decision analysis: an integrated approach. 2002. Boston: Kluwer Academic Publ. XVIII, 372 S.
19. Broekhuizen H, et al. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions. Pharmacoeconomics. 2015;33(5):445–55.
20. Diaby V, Goeree R. How to use multi-criteria decision analysis methods for reimbursement decision-making in healthcare: a step-by-step guide. Expert Rev Pharmacoecon Outcomes Res. 2014;14(1):81–99.
21. Fenton N, Neil M. Making decisions: using Bayesian nets and MCDA. Knowl Based Syst. 2001;14(7):307–25.
22. Mühlbacher A, Bethge S, Tockhorn A. Präferenzmessung im Gesundheitswesen: Grundlagen von discrete-choice-experimenten [measuring preferences in healthcare: introduction to discrete-choice experiments]. Gesundh Qual. 2013;4:159–72.
23. Mühlbacher AC, Kaczynski A. Der Analytic Hierarchy Process (AHP): Eine Methode zur Entscheidungsunterstützung im Gesundheitswesen. PharmacoEcon Ger Res Artic. 2014;11(2):119–32.
24. Mühlbacher AC, Kaczynski A, Zweifel P. Experimentelle Präferenzmessung im Gesundheitswesen mit Hilfe von Best-Worst Scaling (BWS). PharmacoEcon Ger Res Artic. 2013;11(2):101–17.
25. Stewart TJ. Dealing with uncertainties in MCDA, in multiple criteria decision analysis: State of the Art Surveys. London: Springer; 2005, pp. 445–466.
26. Thokala P, Duenas A. Multiple criteria decision analysis for health technology assessment. Value Health. 2012;15(8):1172–81.
27. Mayag B, Grabisch M, Labreuche C. A representation of preferences by the Choquet integral with respect to a 2-additive capacity. Theory Decis. 2011;71(3):297–324.
28. Yager RR. On ordered weighted averaging aggregation operators in multicriteria decisionmaking. Syst Man Cybern IEEE Trans. 1988;18(1):183–90.
29. Feizizadeh B, Blaschke T. Uncertainty analysis of GIS-based ordered weighted averaging method for landslide susceptibility mapping in Urmia Lake Basin, Iran. In: Proceedings of GIScience; 2012.
30. Marsh K, Caro JJ, Muszbek N. Does the future belong to MCDA? ISPOR Connect. 2012;18(6):9–11.
31. Diaby V, et al. Multi-criteria decision analysis for health technology assessment in Canada: insights from an expert panel discussion. Expert Rev Pharmacoecon Outcomes Res. 2015;15(1):13–9.
32. Zimmermann H.-J, Gutsche L. Multi-criteria analyse. London: Springer; 1991.
33. Guitouni A, Martel J-M. Tentative guidelines to help choosing an appropriate MCDA method. Eur J Oper Res. 1998;109(2):501–21.
34. Von Winterfeldt D, Fischer G. Multi-attribute utility theory: models and assessment procedures. In: Wendt D, Vlek C, editors. Utility, probability, and human decision making. theory and decision library. Netherlands: Springer; 1975. p. 47–85.
35. Sussex J, et al. A pilot study of multicriteria decision analysis for valuing orphan medicines. Value Health. 2013;16(8):1163–9.
36. Ishizaka A, Nemery P. Multi-criteria decision analysis: methods and software. 1st ed. Chichester: Wiley; 2013.
37. Tzeng, G.-H, Huang J.-J. Multiple attribute decision makingdecision-making: methods and applications. London: CRC press; 2011.
38. Peacock S, et al. Overcoming barriers to priority setting using interdisciplinary methods. Health Policy. 2009;92(2–3):124–32.
39. Baltussen R, et al. Multi-criteria decision analysis to prioritize health interventions: Capitalizing on first experiences. Health Policy. 2010;96(3):262–4.
40. Le Gales C, Moatti J. Searching for consensus through multi-criteria decision analysis. Assessment of screening strategies for hemoglobinopathies in southeastern France. Int J Technol Assess Health Care. 1990;6(3):430.
41. Adunlin G, Diaby V, Xiao H. Application of multicriteria decision analysis in health care: a systematic review and bibliometric analysis. Health Expect. 2014. doi:10.1111/hex.12287.
42. Nobre FF, Trotta LT, Gomes LF. Multi-criteria decision makingdecision-making–an approach to setting priorities in health care. Stat Med. 1999;18(23):3345–54.
43. Tony M, et al. Bridging health technology assessment (HTA) with multicriteria decision analyses (MCDA): field testing of the EVIDEM framework for coverage decisions by a public payer in Canada. BMC Health Serv Res. 2011;11:329.
44. Youngkong S, et al. Multi-criteria decision analysis for setting priorities on HIV/AIDS interventions in Thailand. Health Res Policy Syst. 2012;10:6.
45. Defechereux T, et al. Health care priority setting in Norway a multicriteria decision analysis. BMC Health Serv Res. 2012;12:39.
46. Wilson E, et al. Prioritizing health technologies in a Primary Care Trust. J Health Serv Res Policy. 2007;12(2):80–5.
47. IJzerman MJ, Marsh K, Hebborn A, Lanitis T. Understanding and modeling business decisions in market access and reimbursement using multi-criteria decision analysis techniques. 2014. Available from: http://www.ispor.org/meetings/montreal0614/presentations/W17-Teres_Lanitis-Kevin_Marsh.pdf. Accessed 17 May 2015.
48. Mühlbacher AC, Juhnke C. Patient preferences versus physicians’ judgement: does it make a difference in healthcare decision makingdecision-making? Appl Health Econ Health policy. 2013;11(3):163–80.
49. Baltussen R, et al. Towards a multi-criteria approach for priority setting: an application to Ghana. Health Econ. 2006;15(7):689–96.
50. Wen S, Zhang L, Yang B. Two approaches to incorporate clinical data uncertainty into multiple criteria decision analysis for benefit–risk assessment of medicinal products. Value Health. 2014;17(5):619–28.
51. Maruthur NM, et al. Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research. F1000Res. 2013;2:160.
52. Guo JJ, et al. A review of quantitative risk-benefit methodologies for assessing drug safety and efficacy-report of the ISPOR risk-benefit management working group. Value Health. 2010;13(5):657–66.
53. Food and Drug Administration (FDA). Structured approach to benefit–risk assessment in drug regulatory decision-making draft PDUFA V implementation plan—February, 2013 Fiscal Years 2013–2017. 2013. Available from: http://www.fda.gov/downloads/ForIndustry/UserFees/PrescriptionDrugUserFee/UCM329758.pdf. Accessed 10 May 2015.
54. Sussex J, Towse A, Devlin N. Operationalizing value-based pricing of medicines. Pharmacoeconomics. 2013;31(1): 1–10.
55. Danner M, et al. Integrating patients’ views into health technology assessment: analytic hierarchy process (AHP) as a method to elicit patient preferences. Int J Technol Assess Health Care. 2011;27(04):369–75.
56. Goetghebeur MM, et al. Bridging health technology assessment (HTA) and efficient health care decision makingdecision-making with multicriteria decision analysis (MCDA): applying the EVIDEM framework to medicines appraisal. Med Decis Making. 2012;32(2):376–88.
57. van Til J, et al. Does technique matter; a pilot study exploring weighting techniques for a multi-criteria decision support framework. Cost Eff Resour Alloc. 2014;12(1):22.
58. EVIDEM collaboration. Evidence and value: impact on decisionmaking (EVIDEM). EVIDEM Framework. 2015. Available from: https://www.evidem.org/. Accessed 12 May 2015.
59. Radaelli G, et al. Implementation of EUnetHTA core Model(R) in Lombardia: the VTS framework. Int J Technol Assess Health Care. 2014;30(1):105–12.
60. Wahlster P, et al. Methodological challenges in multi-criteria decision analysis (MCDA) for health policy decision-making: a systematic review. Value Health. 2013;16(7):A454.
61. Hummel M, IJzerman M, van Manen J. IQWiG-Berichte—Nr. 163: analytic hierarchy process (AHP)—pilotprojekt zur erhebung von patienten-präferenzen in der indikation depression. Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen, editor.
62. Klinke A, Renn O. A new approach to risk evaluation and management: risk-based, precaution-based, and discourse-based strategies1. Risk Anal. 2002;22(6):1071–94.
63. Hart D. Die Nutzen/Risiko-Abwägung im Arzneimittelrecht. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz. 2005;48(2):204–14.
64. González JM, Craig BM, Mühlbacher AC. Choice defines value: using discrete-choice experiments to understand and inform health care decisions. ISPOR Connect. 2013;19(2):6–7.
65. Diaby V, Campbell K, Goeree R. Multi-criteria decision analysis (MCDA) in health care: a bibliometric analysis. Oper Res Health Care. 2013;2(1):20–4.
66. Institut für Qualität und Wirtschaftlicheit im Gesundheitswesen (IQWiG). Wahlbasierte Conjoint-Analyse—Pilotprojekt zur Identifikation, Gewichtung und Priorisierung multipler Attribute in der Indikation Hepatitis C; IQWiG-Berichte—Nr. 227, unter Mitwirkung von, et al., editors; 2014: Köln.
67. Towse A, Barnsley P. Approaches to identifying, measuring, and aggregating elements of value. Int J Technol Assess Health Care. 2013;29:360–4.
68. Devlin NJ. The economics of a ‘liberated’ NHS. PharmacoEconomics. 2010;28(12):1075–8.
69. Briggs AH, et al. Model parameter estimation and uncertainty: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-6. Value Health. 2012;15(6):835–42.
70. Durbach IN, Stewart TJ. Modeling uncertainty in multi-criteria decision analysis. Eur J Oper Res. 2012;223(1):1–14.