Literature DB >> 22591129

Value of information and pricing new healthcare interventions.

Andrew R Willan1, Simon Eckermann.   

Abstract

Previous application of value-of-information methods to optimal clinical trial design have predominantly taken a societal decision-making perspective, implicitly assuming that healthcare costs are covered through public expenditure and trial research is funded by government or donation-based philanthropic agencies. In this paper, we consider the interaction between interrelated perspectives of a societal decision maker (e.g. the National Institute for Health and Clinical Excellence [NICE] in the UK) charged with the responsibility for approving new health interventions for reimbursement and the company that holds the patent for a new intervention. We establish optimal decision making from societal and company perspectives, allowing for trade-offs between the value and cost of research and the price of the new intervention. Given the current level of evidence, there exists a maximum (threshold) price acceptable to the decision maker. Submission for approval with prices above this threshold will be refused. Given the current level of evidence and the decision maker's threshold price, there exists a minimum (threshold) price acceptable to the company. If the decision maker's threshold price exceeds the company's, then current evidence is sufficient since any price between the thresholds is acceptable to both. On the other hand, if the decision maker's threshold price is lower than the company's, then no price is acceptable to both and the company's optimal strategy is to commission additional research. The methods are illustrated using a recent example from the literature.

Mesh:

Year:  2012        PMID: 22591129     DOI: 10.2165/11592250-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  35 in total

1.  A dynamic programming approach to the efficient design of clinical trials.

Authors:  K Claxton; K M Thompson
Journal:  J Health Econ       Date:  2001-09       Impact factor: 3.883

2.  The value of information and optimal clinical trial design.

Authors:  Andrew R Willan; Eleanor M Pinto
Journal:  Stat Med       Date:  2005-06-30       Impact factor: 2.373

3.  Determining optimal sample sizes for multi-stage randomized clinical trials using value of information methods.

Authors:  Andrew Willan; Matthew Kowgier
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

4.  The option value of delay in health technology assessment.

Authors:  Simon Eckermann; Andrew R Willan
Journal:  Med Decis Making       Date:  2008-05-13       Impact factor: 2.583

5.  Treating Helicobacter pylori infection in primary care patients with uninvestigated dyspepsia: the Canadian adult dyspepsia empiric treatment-Helicobacter pylori positive (CADET-Hp) randomised controlled trial.

Authors:  Naoki Chiba; Sander J O Veldhuyzen Van Zanten; Paul Sinclair; Ralph A Ferguson; Sergio Escobedo; Eileen Grace
Journal:  BMJ       Date:  2002-04-27

6.  Non-parametric methods for cost-effectiveness analysis: the central limit theorem and the bootstrap compared.

Authors:  Richard M Nixon; David Wonderling; Richard D Grieve
Journal:  Health Econ       Date:  2010-03       Impact factor: 3.046

7.  Time and expected value of sample information wait for no patient.

Authors:  Simon Eckermann; Andrew R Willan
Journal:  Value Health       Date:  2007-12-17       Impact factor: 5.725

8.  Economic evaluation of Helicobacter pylori eradication in the CADET-Hp randomized controlled trial of H. pylori-positive primary care patients with uninvestigated dyspepsia.

Authors:  N Chiba; S J O Veldhuyzen Van Zanten; S Escobedo; E Grace; J Lee; P Sinclair; A Barkun; D Armstrong; A B R Thomson
Journal:  Aliment Pharmacol Ther       Date:  2004-02-01       Impact factor: 8.171

9.  Searching for a threshold, not setting one: the role of the National Institute for Health and Clinical Excellence.

Authors:  Anthony Culyer; Christopher McCabe; Andrew Briggs; Karl Claxton; Martin Buxton; Ron Akehurst; Mark Sculpher; John Brazier
Journal:  J Health Serv Res Policy       Date:  2007-01

10.  Expected value of sample information calculations in medical decision modeling.

Authors:  A E Ades; G Lu; K Claxton
Journal:  Med Decis Making       Date:  2004 Mar-Apr       Impact factor: 2.583

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  10 in total

1.  Computing Expected Value of Partial Sample Information from Probabilistic Sensitivity Analysis Using Linear Regression Metamodeling.

Authors:  Hawre Jalal; Jeremy D Goldhaber-Fiebert; Karen M Kuntz
Journal:  Med Decis Making       Date:  2015-04-03       Impact factor: 2.583

Review 2.  Optimal global value of information trials: better aligning manufacturer and decision maker interests and enabling feasible risk sharing.

Authors:  Simon Eckermann; Andrew R Willan
Journal:  Pharmacoeconomics       Date:  2013-05       Impact factor: 4.981

3.  Can the real opportunity cost stand up: displaced services, the straw man outside the room.

Authors:  Simon Eckermann; Brita Pekarsky
Journal:  Pharmacoeconomics       Date:  2014-04       Impact factor: 4.981

4.  Prioritizing HIV comparative effectiveness trials based on value of information: generic versus brand-name ART in the US.

Authors:  Pamela P Pei; Milton C Weinstein; X Cynthia Li; Michael D Hughes; A David Paltiel; Taige Hou; Robert A Parker; Melanie R Gaynes; Paul E Sax; Kenneth A Freedberg; Bruce R Schackman; Rochelle P Walensky
Journal:  HIV Clin Trials       Date:  2015-12-11

5.  Better informing decision making with multiple outcomes cost-effectiveness analysis under uncertainty in cost-disutility space.

Authors:  Nikki McCaffrey; Meera Agar; Janeane Harlum; Jonathon Karnon; David Currow; Simon Eckermann
Journal:  PLoS One       Date:  2015-03-09       Impact factor: 3.240

6.  Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample: A Fast, Nonparametric Regression-Based Method.

Authors:  Mark Strong; Jeremy E Oakley; Alan Brennan; Penny Breeze
Journal:  Med Decis Making       Date:  2015-03-25       Impact factor: 2.583

Review 7.  Decision-theoretic designs for small trials and pilot studies: A review.

Authors:  Siew Wan Hee; Thomas Hamborg; Simon Day; Jason Madan; Frank Miller; Martin Posch; Sarah Zohar; Nigel Stallard
Journal:  Stat Methods Med Res       Date:  2015-06-05       Impact factor: 3.021

8.  Value of information methods to design a clinical trial in a small population to optimise a health economic utility function.

Authors:  Michael Pearce; Siew Wan Hee; Jason Madan; Martin Posch; Simon Day; Frank Miller; Sarah Zohar; Nigel Stallard
Journal:  BMC Med Res Methodol       Date:  2018-02-08       Impact factor: 4.615

9.  Combining Model-Based Clinical Trial Simulation, Pharmacoeconomics, and Value of Information to Optimize Trial Design.

Authors:  Daniel Hill-McManus; Dyfrig A Hughes
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-12-31

10.  An Efficient Method for Computing Expected Value of Sample Information for Survival Data from an Ongoing Trial.

Authors:  Mathyn Vervaart; Mark Strong; Karl P Claxton; Nicky J Welton; Torbjørn Wisløff; Eline Aas
Journal:  Med Decis Making       Date:  2021-12-30       Impact factor: 2.749

  10 in total

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