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Related Experiment Video

Updated: Dec 4, 2025

Assembly and Characterization of Polyelectrolyte Complex Micelles

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Published on: March 2, 2020

Measurement, modeling and QALYs.

Paul C Langley^1,2, Stephen P McKenna^3,4

¹College of Pharmacy, University of Minnesota, Minneapolis, USA.

|October 23, 2020

Summary

This summary is machine-generated.

The quality-adjusted life year (QALY) construct is invalid due to flawed utility scales, rendering cost-per-QALY models unsustainable for health technology assessment and resource allocation.

Keywords:

Imaginary QALY impossible models ordinal scores

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Area of Science:

Health Economics
Measurement Theory
Health Technology Assessment

Background:

Cost-per-quality adjusted life year (QALY) models are a 30-year mainstay in health technology assessment.
These models inform resource allocation decisions.
Reliance on generic utility scales for QALY construction is a significant limitation.

Purpose of the Study:

To critically evaluate the validity of the quality-adjusted life year (QALY) construct.
To examine the limitations imposed by fundamental measurement axioms on utility scales.
To challenge the foundation of cost-per-QALY models in health economics.

Main Methods:

Analysis of measurement axioms and scale properties (ordinal, interval, ratio).
Critique of utility scales (e.g., EQ-5D-3L) based on fundamental measurement principles.
Theoretical examination of arithmetic operations on utility values.

Main Results:

Utility scales used for QALYs are multidimensional and ordinal, lacking ratio properties and a true zero.
These scales cannot support the arithmetic operations required for QALY calculation.
The QALY is an invalid construct, making cost-per-QALY claims and thresholds meaningless.

Conclusions:

The reliance on flawed utility scales invalidates the QALY construct.
Cost-per-QALY models and thresholds are unsustainable and meaningless.
Future utility measures should aim for unidimensionality and interval scaling to support claims for response to therapy, replacing lifetime value assessment frameworks.