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Published in: PharmacoEconomics 3/2016

Open Access 01-03-2016 | Original Research Article

Use of Value of Information in Healthcare Decision Making: Exploring Multiple Perspectives

Authors: Jill Bindels, Bram Ramaekers, Isaac Corro Ramos, Leyla Mohseninejad, Saskia Knies, Janneke Grutters, Maarten Postma, Maiwenn Al, Talitha Feenstra, Manuela Joore

Published in: PharmacoEconomics | Issue 3/2016

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Abstract

Background

Value of information (VOI) is a tool that can be used to inform decisions concerning additional research in healthcare. VOI estimates the value of obtaining additional information and indicates the optimal design for additional research. Although it is recognized as good practice in handling uncertainty, it is still hardly used in decision making in the Netherlands.

Objective

This paper aims to examine the potential value of VOI, barriers and facilitators and the way forward with the use of VOI in the decision-making process for reimbursement of pharmaceuticals in the Netherlands.

Methods

Three focus group interviews were conducted with researchers, policy makers, and representatives of pharmaceutical companies.

Results

The results revealed that although all stakeholders recognize the relevance of VOI, it is hardly used and many barriers to the performance and use of VOI were identified. One of these barriers is that not all uncertainties are easily incorporated in VOI, and the results may be biased if structural uncertainties are ignored. Furthermore, not all research designs indicated by VOI may be feasible in practice.

Conclusions

To fully embed VOI into current decision-making processes, a threshold incremental cost-effectiveness ratio and guidelines that clarify when and how VOI should be performed are needed. In addition, it should be clear to all stakeholders how the results of VOI are used in decision making.
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Literature
1.
go back to reference Fenwick E, Claxton K, Sculpher M. Representing uncertainty: the role of cost-effectiveness acceptability curves. Health Econ. 2001;10(8):779–87.CrossRefPubMed Fenwick E, Claxton K, Sculpher M. Representing uncertainty: the role of cost-effectiveness acceptability curves. Health Econ. 2001;10(8):779–87.CrossRefPubMed
2.
go back to reference Briggs A, Claxton K, Sculpher M. Decision modelling for health economic evaluation. Handbooks in health economic evaluation series. Oxford: Oxford University Press; 2006. Briggs A, Claxton K, Sculpher M. Decision modelling for health economic evaluation. Handbooks in health economic evaluation series. Oxford: Oxford University Press; 2006.
5.
go back to reference Blommestein HM, Franken MG, Verelst SG, van Agthoven M, Huijgens PC, Uyl-de Groot CA. Access to expensive cancer drugs in Dutch daily practice: should we be concerned? Neth J Med. 2014;72(4):235–41.PubMed Blommestein HM, Franken MG, Verelst SG, van Agthoven M, Huijgens PC, Uyl-de Groot CA. Access to expensive cancer drugs in Dutch daily practice: should we be concerned? Neth J Med. 2014;72(4):235–41.PubMed
7.
go back to reference Briggs AH, Weinstein MC, Fenwick EAL, Karnon J, Sculpher MJ, Paltiel AD. Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group–6. Med Decis Mak. 2012;32(5):722–32. doi:10.1177/0272989x12458348.CrossRef Briggs AH, Weinstein MC, Fenwick EAL, Karnon J, Sculpher MJ, Paltiel AD. Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group–6. Med Decis Mak. 2012;32(5):722–32. doi:10.​1177/​0272989x12458348​.CrossRef
8.
go back to reference Steuten L, van de Wetering G, Groothuis-Oudshoorn K, Retel V. A systematic and critical review of the evolving methods and applications of value of information in academia and practice. PharmacoEconomics. 2013;31(1):25–48. doi:10.1007/s40273-012-0008-3.CrossRefPubMed Steuten L, van de Wetering G, Groothuis-Oudshoorn K, Retel V. A systematic and critical review of the evolving methods and applications of value of information in academia and practice. PharmacoEconomics. 2013;31(1):25–48. doi:10.​1007/​s40273-012-0008-3.CrossRefPubMed
10.
go back to reference Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. Philadelphia: Lippincott Williams & Wilkins, a Wolters Kluwer business; 2008. Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. Philadelphia: Lippincott Williams & Wilkins, a Wolters Kluwer business; 2008.
12.
go back to reference Lincoln YS, Guba EG. Naturalistic inquiry Newbury Park. CA: Sage Publications; 1985. Lincoln YS, Guba EG. Naturalistic inquiry Newbury Park. CA: Sage Publications; 1985.
14.
go back to reference Corro Ramos I, Rutten-van Mölken MPMH, Al MJ. The role of value-of-information analysis in a health care research priority setting: a theoretical case study. Med Decis Mak. 2013;33(4):472–89. doi:10.1177/0272989x12468616. Corro Ramos I, Rutten-van Mölken MPMH, Al MJ. The role of value-of-information analysis in a health care research priority setting: a theoretical case study. Med Decis Mak. 2013;33(4):472–89. doi:10.​1177/​0272989x12468616​.
17.
go back to reference Strong M, Oakley JE, Brennan A. Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approach. Med Decis Mak. 2013. doi:10.1177/0272989x13505910. Strong M, Oakley JE, Brennan A. Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approach. Med Decis Mak. 2013. doi:10.​1177/​0272989x13505910​.
18.
go back to reference Strong M, Oakley JE, Brennan A, Breeze P. Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: a fast nonparametric regression-based method. Med Decis Mak. 2015. doi:10.1177/0272989x15575286. Strong M, Oakley JE, Brennan A, Breeze P. Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: a fast nonparametric regression-based method. Med Decis Mak. 2015. doi:10.​1177/​0272989x15575286​.
21.
go back to reference Broekhuizen H, Groothuis-Oudshoorn CG, van Til JA, Hummel JM, IJzerman IJ. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions. PharmacoEconomics. 2015. doi:10.1007/s40273-014-0251-x.PubMedCentralPubMed Broekhuizen H, Groothuis-Oudshoorn CG, van Til JA, Hummel JM, IJzerman IJ. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions. PharmacoEconomics. 2015. doi:10.​1007/​s40273-014-0251-x.PubMedCentralPubMed
22.
go back to reference Mohseninejad L. Uncertainty in economic evaluations: implications for healthcare decisions. Groningen: University of Groningen; 2013. Mohseninejad L. Uncertainty in economic evaluations: implications for healthcare decisions. Groningen: University of Groningen; 2013.
25.
go back to reference Claxton K, Griffin S, Koffijberg H, McKenna C. Expected health benefits of additional evidence: principles, methods and applications. Centre for Health Economics, University of York, CHE Research; 2013. Paper 83. Claxton K, Griffin S, Koffijberg H, McKenna C. Expected health benefits of additional evidence: principles, methods and applications. Centre for Health Economics, University of York, CHE Research; 2013. Paper 83.
Metadata
Title
Use of Value of Information in Healthcare Decision Making: Exploring Multiple Perspectives
Authors
Jill Bindels
Bram Ramaekers
Isaac Corro Ramos
Leyla Mohseninejad
Saskia Knies
Janneke Grutters
Maarten Postma
Maiwenn Al
Talitha Feenstra
Manuela Joore
Publication date
01-03-2016
Publisher
Springer International Publishing
Published in
PharmacoEconomics / Issue 3/2016
Print ISSN: 1170-7690
Electronic ISSN: 1179-2027
DOI
https://doi.org/10.1007/s40273-015-0346-z

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