Value of information analysis in healthcare: A review of principles and applications

Journal of Medical Economics

Volumn 17, Issue 6, 2014, Pages 377-383

  Tuffaha, Haitham W ^a   Gordon, Louisa G ^a   Scuffham, Paul A ^b  

^a GRIFFITH UNIVERSITY   (Australia)

^b GRIFFITH UNIVERSITY   (Australia)

Author keywords

Decision uncertainty; Decision making; Research prioritization; Trial design; Value of information

Indexed keywords

COMPARATIVE EFFECTIVENESS; COST EFFECTIVENESS ANALYSIS; DATA BASE; DECISION MAKING; DECUBITUS; ECONOMIC EVALUATION; FOLLOW UP; HEALTH CARE; HEALTH CARE MANAGEMENT; HEALTH CARE QUALITY; HEALTH CARE SURVEY; HUMAN; INTERMITTENT CLAUDICATION; MEDICAL DECISION MAKING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; PROCESS OPTIMIZATION; QUALITY ADJUSTED LIFE YEAR; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; SAMPLE SIZE; STUDY DESIGN; SYSTEMATIC REVIEW (TOPIC); VACUUM ASSISTED CLOSURE; VALUE OF INFORMATION ANALYSIS; COST BENEFIT ANALYSIS; ECONOMICS; HEALTH CARE ORGANIZATION; HEALTH SERVICES RESEARCH; MEDICAL RESEARCH; METHODOLOGY; ORGANIZATION AND MANAGEMENT; STATISTICAL MODEL;

BIOMEDICAL RESEARCH; COST-BENEFIT ANALYSIS; DECISION MAKING; HEALTH CARE RATIONING; HEALTH SERVICES RESEARCH; HUMANS; MODELS, ECONOMIC; RESEARCH DESIGN;

EID: 84900849688     PISSN: 13696998     EISSN: 1941837X     Source Type: Journal    
DOI: 10.3111/13696998.2014.907170     Document Type: Review

References (38)

1. Lyman GH, Levine M. Comparative effectiveness research in oncology: an overview. J Clin Oncol Official J Am Soc Clin Oncol 2012;30:4181-4
2. Sculpher M, Claxton K. Establishing the cost-effectiveness of new pharmaceuticals under conditions of uncertainty-when is there sufficient evidence? Value Health 2005;8:433-46
3. Claxton K. Exploring uncertainty in cost-effectiveness analysis. Pharmacoeconomics 2008;26:781-98
4. Eckermann S, Willan AR. Time and expected value of sample information wait for no patient. Value Health 2008;11:522-6 (Pubitemid 351712981)
5. Claxton K. The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies. J Health Econ 1999;18:341-64 (Pubitemid 29242816)
6. Eckermann S, Willan AR. Expected value of information and decision making in HTA. Health Econ 2007;16:195-209 (Pubitemid 46206613)
7. Steuten L, van de Wetering G, Groothuis-Oudshoorn K, et al. A systematic and critical review of the evolving methods and applications of value of information in academia and practice. Pharmacoeconomics 2013;31:25-48
8. Eckermann S, Karnon J, Willan AR. The value of value of information best informing research design and prioritization using current methods. Pharmacoeconomics 2010;28:699-709
9. Claxton K, Palmer S, Longworth L, et al. Informing a decision framework for when NICE should recommend the use of health technologies only in the context of an appropriately designed programme of evidence development. Health Technol Assess 2012;16:1-323
10. Claxton K, Posnett J. An economic approach to clinical trial design and research priority-setting. Health Econ 1996;5:513-24
11. Claxton KP, Sculpher MJ. Using value of information analysis to prioritise health research: some lessons from recent UK experience. Pharmacoeconomics 2006;24:1055-68 (Pubitemid 44683363)
12. Tuffaha HW, Rickard CM, Webster J, et al. Cost-effectiveness analysis of clinically indicated versus routine replacement of peripheral intravenous catheters. Appl Health Econ Health Policy 2014;12:51-8
13. Ades AE, Lu G, Claxton K. Expected value of sample information calculations in medical decision modeling. Med Decis Mak 2004;24:207-27 (Pubitemid 38391940)
14. Willan AR, Goeree R, Boutis K. Value of information methods for planning and analyzing clinical studies optimize decision making and research planning. J Clin Epidemiol 2012;65:870-6
15. Willan AR. Sample size determination for cost-effectiveness trials. Pharmacoeconomics 2011;29:933-49
16. Willan AR, Pinto EM. The value of information and optimal clinical trial design. Stat Med 2005;24:1791-806 (Pubitemid 40872643)
17. McKenna C, Claxton K. Addressing adoption and research design decisions simultaneously: the role of value of sample information analysis. Med Decis Mak 2011;31:853-65
18. Fleurence RL. Setting priorities for research: a practical application of 'payback' and expected value of information. Health Econ 2007;16:1345-57
19. Davies L, Drummond M, Papanikolaou P. Prioritizing investments in health technology assessment. Can we assess potential value for money? Int J Technol Assess Health Care 2000;16:73-91 (Pubitemid 30263204)
20. Chilcott J, Brennan A, Booth A, et al. The role of modelling in prioritising and planning clinical trials. Health Technol Assess 2003;7:1-138
21. Fleurence RL, Meltzer DO. Toward a science of research prioritization? The use of value of information by multidisciplinary stakeholder groups. Med Decis Making 2013;33:460-2
22. Tuffaha HW, Gordon LG, Scuffham PA. Value of information analysis in oncology: the value of evidence and evidence of value. J Oncol Pract 2014;10(2):e55-e62
23. Longworth L, Youn J, Bojke L, et al. When does NICE recommend the use of health technologies within a programme of evidence development?: a systematic review of NICE guidance. Pharmacoeconomics 2013;31:137-49
24. Walker S, Sculpher M, Claxton K, et al. Coverage with evidence development, only in research, risk sharing, or patient access scheme? A framework for coverage decisions. Value Health 2012;15:570-9
25. Willan AR, Eckermann S. Value of information and pricing new healthcare interventions. Pharmacoeconomics 2012;30:447-59
26. Koerkamp BG, Spronk S, Stijnen T, et al. Value of information analyses of economic randomized controlled trials: the treatment of intermittent claudication. Value Health 2010;13:242-50
27. Stevenson MD, Jones ML. The cost effectiveness of a randomized controlled trial to establish the relative efficacy of vitamin K1 compared with alendronate. Med Decis Mak 2011;31:43-52
28. Koerkamp BG, Nikken JJ, Oei EH, et al. Value of information analysis used to determine the necessity of additional research: MR imaging in acute knee trauma as an example. Radiology 2008;246:420-5
29. Soares MO, Dumville JC, Ashby RL, et al. Methods to assess cost-effectiveness and value of further research when data are sparse: negative-pressure wound therapy for severe pressure ulcers. Med Decis Mak 2013;33:415-36
30. Myers E, Sanders GD, Ravi D, et al. Evaluating the potential use of modeling and value-of-information analysis for future research prioritization within the evidence-based practice center program. Rockville, MD: Agency for Healthcare Research and Quality, 2011. Available from: http://www.ncbi.nlm.nih. gov/books/NBK62134[LastaccessedJanuary2014]
31. Carlson JJ, Thariani R, Roth J, et al. Value-of-information analysis within a stakeholder-driven research prioritization process in a US setting: an application in cancer genomics. Med Decis Mak 2013;33:463-71
32. Sadatsafavi M, Bansback N, Zafari Z, et al. Need for Speed: an efficient algorithm for calculation of single-parameter expected value of partial perfect information. Value Health 2013;16:438-48
33. Sadatsafavi M, Marra C, Bryan S. Two-level resampling as a novel method for the calculation of the expected value of sample information in economic trials. Health Econ 2013;22:877-88
34. Brennan A, Kharroubi SA. Efficient computation of partial expected value of sample information using Bayesian approximation. J Health Econ 2007;26:122-48 (Pubitemid 44908721)
35. Brennan A, Kharroubi S, O'Hagan A, et al. Calculating partial expected value of perfect information via Monte Carlo sampling algorithms. Med Decis Mak 2007;27:448-70 (Pubitemid 47106943)
36. Fenwick E, Claxton K, Sculpher M. The value of implementation and the value of information: combined and uneven development. Med Decis Mak 2008;28:21-32
37. Philips Z, Claxton K, Palmer S. The half-life of truth: what are appropriate time horizons for research decisions? Med Decis Mak 2008;28:287-99 (Pubitemid 351713302)
38. Willan AR, Eckermann S. Optimal clinical trial design using value of information methods with imperfect implementation. Health Econ 2010;19:549-61