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Paraconsistent Value Framework

Methodvalidated✓ Source-grounded

The Paraconsistent Value Framework is a decision-making method that helps hospitals evaluate cancer treatments by combining opinions from different experts, even when those opinions conflict. It uses a special logic system to handle contradictory views and arrive at a balanced decision about which treatments offer the most value.

At a glance

Use when

Evaluating cancer treatments in hospital HTA where expert opinions diverge; when traditional MCDA methods struggle with inconsistent inputs; in multi-stakeholder decision-making contexts requiring robust aggregation of conflicting views.

Avoid when

When decision-makers lack familiarity with MCDA or paraconsistent logic; in settings requiring rapid, simple decisions; when stakeholder engagement is limited or not feasible.

Inputs

Stakeholder-defined criteria weights, performance scores of technologies across criteria, list of evaluated health technologies, expert perspectives from multiple domains (e.g., clinical, economic, patient).

Outputs

Global value scores for each technology, ranking of technologies, identification of optimal options for reimbursement, visualization of agreement/conflict across perspectives via paraconsistent analysis.

How it works

The Paraconsistent Value Framework is a multi-criteria decision analysis (MCDA) method grounded in paraconsistent logic, designed for hospital-based Health Technology Assessment (HTA). It aggregates heterogeneous and potentially conflicting stakeholder perspectives through a structured process aligned with ISPOR MCDA guidelines. The framework was applied in a proof-of-concept study assessing first-line treatments for metastatic colorectal cancer, incorporating 11 expert perspectives and weighting criteria such as overall survival, burden of disease, and adverse events. A paraconsistent analysis (para-analysis) enabled the identification of optimal treatment options despite inconsistencies in input judgments, resulting in FOLFIRI and mFlox being identified as top-ranked for reimbursement.

HTA domains
Organisational aspects, Patient and Social Aspects, Aspects Beyond HTA
Assumptions
Expert judgments are meaningful and relevant; criteria capture key aspects of value; paraconsistent logic can appropriately manage contradictions without bias; input data quality is sufficient for comparative assessment.
Strengths
Handles conflicting and inconsistent expert opinions effectively,Incorporates diverse stakeholder perspectives in a structured way,Provides transparent and systematic aggregation in MCDA,Offers a nuanced view of value beyond traditional weighting methods
Limitations
Dependent on quality and representativeness of expert input,Complexity of paraconsistent logic may limit interpretability for some users,Requires training and familiarity with MCDA and non-classical logic systems,Proof-of-concept status limits generalizability to other settings or diseases
Also known as
Paraconsistent Value Framework, Para-analysis

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