CHEERS-VOI
CHEERS-VOI is a checklist that helps researchers clearly report value-of-information analyses when submitting health technology assessments. It ensures key elements are transparently communicated.
At a glance
Use when
Conducting or reporting value-of-information analyses to inform research prioritization or reimbursement decisions
Avoid when
VOI analysis is not part of the evaluation or when the model lacks sufficient uncertainty characterization
Inputs
Value-of-information analyses within economic models, including probabilistic sensitivity analysis results
Outputs
Structured, transparent reporting of VOI analyses in line with HTA submission standards
How it works
CHEERS-VOI is an extension of the CHEERS reporting guidelines, developed by the ISPOR VOI Reporting Standards Task Force. It provides a structured checklist for reporting value-of-information (VOI) analyses, including expected value of perfect information (EVPI), expected value of sample information (EVSI), and related metrics in economic evaluations.
- HTA domains
- Costs & Economic Evaluation
- Assumptions
- The underlying economic model is well-specified and uncertainty is adequately characterized through probabilistic analysis
- Strengths
- Improves transparency, reproducibility, and credibility of VOI analyses in HTA; aligns reporting with best practices
- Limitations
- Requires familiarity with VOI concepts and methods; may be challenging to apply in early-stage or highly uncertain models
- Also known as
- CHEERS for VOI, CHEERS-VI
Questions this answers
- › What components of a value-of-information analysis should be reported?
- › How should VOI methods be described in an HTA submission?
- › What assumptions should be disclosed in VOI analyses?
- › How are decision uncertainty and research priorities quantified?
- › What parameters influence the value of future research?
- › How should VOI results inform reimbursement or research funding decisions?
References & sources
Similar by meaning
Beta record. Based on the original catalogue summary; primary-source enrichment pending.