Evidence map›Paper›PMID 35415193›Full record

ArticleAnnual review of statistics and its application2022

Value of Information Analysis in Models to Inform Health Policy.

Christopher H Jackson, Gianluca Baio, Anna Heath, Mark Strong, Nicky J Welton, Edward C F Wilson

Abstract read
In one paragraph

Article in Annual review of statistics and its application, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Expected Value of Sample Information Calculations for Risk Prediction Model Validation.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  6. Engineering Principles and Bioengineering in Global Health.Neurosurgery clinics of North America · 2024
    Review
  7. Accurate EVSI Estimation for Nonlinear Models Using the Gaussian Approximation Method.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  8. Article
  9. Article
  10. Exploring Structural Uncertainty in Cost-Effectiveness Modeling of Gestational Diabetes Screening: An Application Example from Norway.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christopher H JacksonMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, United Kingdom.
Gianluca BaioDepartment of Statistical Science, University College London, London WC1E 6BT, United Kingdom.
Anna HeathThe Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada.
Mark StrongSchool of Health and Related Research, University of Sheffield, Sheffield S1 4DA, United Kingdom.
Nicky J WeltonBristol Medical School (PHS), University of Bristol, Bristol BS8 1QU, United Kingdom.
Edward C F WilsonPHMR Ltd., London NW1 8XY, United Kingdom.

Funding

Medical Research Council G0802413Medical Research Council MC_UU_00002/11Medical Research Council MR/K025643/1
6 · The paper itself

Abstract

Value of information (VoI) is a decision-theoretic approach to estimating the expected benefits from collecting further information of different kinds, in scientific problems based on combining one or more sources of data. VoI methods can assess the sensitivity of models to different sources of uncertainty and help to set priorities for further data collection. They have been widely applied in healthcare policy making, but the ideas are general to a range of evidence synthesis and decision problems. This article gives a broad overview of VoI methods, explaining the principles behind them, the range of problems that can be tackled with them, and how they can be implemented, and discusses the ongoing challenges in the area.

Indexed as

Bayesiandecision theorydesignevidence synthesishealth economicssensitivity analysis

Identifiers

PMID35415193
PMCPMC7612603

What Socratic 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 Socratic graph.