Literature DB >> 32197720

Value of Information Analytical Methods: Report 2 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force.

Claire Rothery1, Mark Strong2, Hendrik Erik Koffijberg3, Anirban Basu4, Salah Ghabri5, Saskia Knies6, James F Murray7, Gillian D Sanders Schmidler8, Lotte Steuten9, Elisabeth Fenwick10.   

Abstract

The allocation of healthcare resources among competing priorities requires an assessment of the expected costs and health effects of investing resources in the activities and of the opportunity cost of the expenditure. To date, much effort has been devoted to assessing the expected costs and health effects, but there remains an important need to also reflect the consequences of uncertainty in resource allocation decisions and the value of further research to reduce uncertainty. Decision making with uncertainty may turn out to be suboptimal, resulting in health loss. Consequently, there may be value in reducing uncertainty, through the collection of new evidence, to better inform resource decisions. This value can be quantified using value of information (VOI) analysis. This report from the ISPOR VOI Task Force describes methods for computing 4 VOI measures: the expected value of perfect information, expected value of partial perfect information (EVPPI), expected value of sample information (EVSI), and expected net benefit of sampling (ENBS). Several methods exist for computing EVPPI and EVSI, and this report provides guidance on selecting the most appropriate method based on the features of the decision problem. The report provides a number of recommendations for good practice when planning, undertaking, or reviewing VOI analyses. The software needed to compute VOI is discussed, and areas for future research are highlighted.
Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ENBS; EVPI; EVPPI; EVSI; decision making; study design; value of information; value of research

Year:  2020        PMID: 32197720     DOI: 10.1016/j.jval.2020.01.004

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  20 in total

1.  The Use of Expert Elicitation among Computational Modeling Studies in Health Research: A Systematic Review.

Authors:  Christopher J Cadham; Marie Knoll; Luz María Sánchez-Romero; K Michael Cummings; Clifford E Douglas; Alex Liber; David Mendez; Rafael Meza; Ritesh Mistry; Aylin Sertkaya; Nargiz Travis; David T Levy
Journal:  Med Decis Making       Date:  2021-10-25       Impact factor: 2.749

2.  A guide to value of information methods for prioritising research in health impact modelling.

Authors:  Christopher Jackson; Robert Johnson; Audrey de Nazelle; Rahul Goel; Thiago Hérick de Sá; Marko Tainio; James Woodcock
Journal:  Epidemiol Methods       Date:  2021-11-15

3.  Population-Based Newborn Screening for Germline TP53 Variants: Clinical Benefits, Cost-Effectiveness, and Value of Further Research.

Authors:  Natalia Kunst; Natasha K Stout; Grace O'Brien; Kurt D Christensen; Pamela M McMahon; Ann Chen Wu; Lisa R Diller; Jennifer M Yeh
Journal:  J Natl Cancer Inst       Date:  2022-05-09       Impact factor: 11.816

4.  The Application and Implications of Novel Deterministic Sensitivity Analysis Methods.

Authors:  Rick A Vreman; Joost W Geenen; Saskia Knies; Aukje K Mantel-Teeuwisse; Hubert G M Leufkens; Wim G Goettsch
Journal:  Pharmacoeconomics       Date:  2020-12-14       Impact factor: 4.981

5.  Building a trusted framework for uncertainty assessment in rare diseases: suggestions for improvement (Response to "TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases").

Authors:  Sabine E Grimm; Xavier Pouwels; Bram L T Ramaekers; Ben Wijnen; Saskia Knies; Janneke Grutters; Manuela A Joore
Journal:  Orphanet J Rare Dis       Date:  2021-02-01       Impact factor: 4.123

6.  Simulating Study Data to Support Expected Value of Sample Information Calculations: A Tutorial.

Authors:  Anna Heath; Mark Strong; David Glynn; Natalia Kunst; Nicky J Welton; Jeremy D Goldhaber-Fiebert
Journal:  Med Decis Making       Date:  2021-08-13       Impact factor: 2.749

7.  Computing the Expected Value of Sample Information Efficiently: Practical Guidance and Recommendations for Four Model-Based Methods.

Authors:  Natalia Kunst; Edward C F Wilson; David Glynn; Fernando Alarid-Escudero; Gianluca Baio; Alan Brennan; Michael Fairley; Jeremy D Goldhaber-Fiebert; Chris Jackson; Hawre Jalal; Nicolas A Menzies; Mark Strong; Howard Thom; Anna Heath
Journal:  Value Health       Date:  2020-05-27       Impact factor: 5.725

8.  Early Cost-effectiveness Analysis of Risk-Based Selection Strategies for Adjuvant Treatment in Stage II Colon Cancer: The Potential Value of Prognostic Molecular Markers.

Authors:  Gabrielle Jongeneel; Marjolein J E Greuter; Natalia Kunst; Felice N van Erning; Miriam Koopman; Jan P Medema; Louis Vermeulen; Jan N M Ijzermans; Geraldine R Vink; Cornelis J A Punt; Veerle M H Coupé
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-06-23       Impact factor: 4.090

Review 9.  Conducting Value for Money Analyses for Non-randomised Interventional Studies Including Service Evaluations: An Educational Review with Recommendations.

Authors:  Matthew Franklin; James Lomas; Gerry Richardson
Journal:  Pharmacoeconomics       Date:  2020-07       Impact factor: 4.981

10.  Cost-effectiveness of a hypothetical cell or gene therapy cure for sickle cell disease.

Authors:  Jonathan Salcedo; Jenniffer Bulovic; Colin M Young
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

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