Evidence map›Paper›PMID 32197720›Full record

ReviewValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2020

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

Claire Rothery, Mark Strong, Hendrik Erik Koffijberg, Anirban Basu, Salah Ghabri, Saskia Knies, James F Murray, Gillian D Sanders Schmidler, Lotte Steuten, Elisabeth Fenwick

Abstract readReview
In one paragraph

Review in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Methods for Communicating the Impact of Parameter Uncertainty in a Multiple-Strategies Cost-Effectiveness Comparison.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
  4. The Use of Expert Elicitation among Computational Modeling Studies in Health Research: A Systematic Review.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
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  9. A Pragmatic Bayesian Adaptive Trial Design Based on the Value of Information: The Value-Driven Adaptive Design.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Claire RotheryCentre for Health Economics, University of York, York, England, UK. Electronic address: claire.rothery@york.ac.uk.
Mark StrongSchool of Health and Related Research, University of Sheffield, Sheffield, England, UK.
Hendrik Erik KoffijbergDepartment of Health Technology & Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Anirban BasuThe Comparative Health Outcomes, Policy, and Economics Institute, School of Pharmacy, University of Washington, Seattle, Washington, DC, USA.
Salah GhabriFrench National Authority for Health, Paris, France.
Saskia KniesNational Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands.
James F MurrayEli Lilly and Company, Indianapolis, IN, USA.
Gillian D Sanders SchmidlerDuke-Margolis Center for Health Policy, Duke Clinical Research Institute and Department of Population Health Sciences, Duke University, Durham, NC, USA.
Lotte SteutenOffice of Health Economics, London, England, UK.
Elisabeth FenwickPharmerit International, Oxford, England, UK.

Funding

Value of Information Methods for NHLBI TrialsR01HL126804 · NHLBI · UNIVERSITY OF WASHINGTON · PI BASU, ANIRBAN · 2015 to 2018
$2.7M
NHLBI NIH HHS R01 HL126804
6 · The paper itself

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.

Indexed as

Decision Support TechniquesHealth Care CostsModels, StatisticalConsensusCost-Benefit AnalysisHealth Care RationingHealth PrioritiesHealth Services Needs and DemandHumansNeeds AssessmentProbabilityTechnology Assessment, BiomedicalUncertaintydecision makingENBSEVPIEVPPIEVSIstudy designvalue of informationvalue of research

Identifiers

PMID32197720
PMCPMC7373630

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.