AdViSHE (Assessment of the Validation Status of Health-Economic decision models)
AdViSHE is a tool that helps decision makers and users assess how well a health-economic model has been validated. It provides a structured way to review different parts of the model, such as its design, data, software, and results, so users can decide if they can trust it for decision making.
At a glance
Use when
Evaluating the credibility of a health-economic model before using it for policy or decision-making purposes, or when reporting validation efforts as part of model development.
Avoid when
When a full independent re-analysis or replication of the model is required, or when users lack access to detailed model documentation.
Inputs
Health-economic model documentation, including model structure, data sources, code, and validation reports.
Outputs
Structured assessment of the model's validation status across 13 criteria, highlighting strengths and gaps in validation.
How it works
AdViSHE is a structured validation-assessment tool developed through a Delphi panel and workshop with 47 international experts and 50 additional discussants. It consists of 13 items covering the conceptual model, input data, implemented software, and model outcomes. It enables model developers to systematically report on validation efforts and their results, allowing users to evaluate the level of confidence in health-economic (HE) decision models and identify gaps requiring further validation.
- HTA domains
- Clinical Effectiveness, Costs & Economic Evaluation, Organisational aspects
- Categories
- Model Validation
- Assumptions
- Model developers have access to sufficient documentation and results from validation activities; users have basic understanding of HE modelling principles.
- Strengths
- Developed with input from a large, diverse panel of international experts,Covers all key aspects of HE model validation,Improves transparency and facilitates trust in model-based decisions,Supports efficient allocation of validation resources
- Limitations
- Does not guarantee model correctness, only assesses reported validation efforts,Relies on honesty and completeness of model developers' self-reporting,May require training for non-expert users to apply effectively
- Also known as
- Assessment of the Validation Status of Health-Economic decision models
Questions this answers
- › Has the model been validated in a systematic and transparent way?
- › Are the input data and assumptions appropriately tested and justified?
- › Is the software implementation free of errors?
- › Do the model outcomes reflect real-world evidence and clinical expectations?
- › What level of confidence can decision makers place in the model results?
- › Which validation steps are missing and need to be addressed?
References & sources
Similar by meaning
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