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ISPOR Value of Information Analysis (Report 1)

Guidelinepeer-reviewed

This guideline explains how to use value of information analysis to help decide which health research should be prioritized or funded, by estimating the benefit of reducing uncertainty in decision-making.

At a glance

Use when

Deciding which research to fund; assessing the value of future studies; informing research and development strategy in healthcare

Avoid when

When there is insufficient data to build a reliable cost-effectiveness model; when decision uncertainty is minimal; when resources for modeling are limited

Inputs

Uncertainty in model parameters, probabilistic sensitivity analysis results, cost-effectiveness models

Outputs

Estimates of expected value of perfect information (EVPI), expected value of partial perfect information (EVPPI), recommendations for research prioritization

How it works

The report introduces methods for quantifying the value of reducing uncertainty in healthcare decisions through further research, including expected value of perfect information (EVPI) and expected value of partial perfect information (EVPPI), to support research prioritization and funding allocation.

HTA domains
Clinical Effectiveness, Costs & Economic Evaluation, Aspects Beyond HTA
Assumptions
Future decisions will be informed by current analyses; willingness to pay thresholds are known; model structure reflects decision context
Strengths
Provides a formal framework for research prioritization; quantifies potential benefits of reducing uncertainty; supports efficient allocation of research funds
Limitations
Requires advanced modeling and probabilistic analysis; depends on quality of underlying cost-effectiveness model; may be sensitive to assumptions about willingness to pay

Questions this answers

References & sources

Related methods

Similar by meaning

Beta record. Based on the original catalogue summary; primary-source enrichment pending.