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Setting Dead at Zero: Applying Scale Properties to the QALY Model.

Bram Roudijk1, A Rogier T Donders1, Peep F M Stalmeier1

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Medical Decision Making : an International Journal of the Society for Medical Decision Making
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Summary
This summary is machine-generated.

Assigning a value of 0 to death in health utility scales is crucial for consistent decision-making in cost-utility analyses. This ensures life-saving and life-improving values are accurately weighed.

Keywords:
QALYdeathhealth measurehealth statesquality of lifequality-adjusted life yearscaling

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Area of Science:

  • Health Economics
  • Decision Analysis
  • Measurement Science

Background:

  • Accurate valuation of health states, including death, is critical for cost-utility analyses.
  • The quality-adjusted life year (QALY) model relies on health-utility scales where 0 typically represents death and 1 represents perfect health.
  • Determining the precise value of death on these scales presents practical and theoretical challenges.

Purpose of the Study:

  • To investigate the arguments for assigning a value of 0 to death on the health-utility scale within the QALY model.
  • To analyze the impact of the placement of death on the health-utility scale on decision-making processes in health economics.

Main Methods:

  • A comprehensive literature review was conducted to identify arguments for setting death at 0 in the QALY model.
  • Analysis of scale properties and transformations relevant to health-utility and duration scales was performed.

Main Results:

  • The literature review revealed practical and theoretical justifications for assigning 0 to death.
  • It was found that indifference between health states is not preserved without ratio scale properties for the duration scale.
  • Establishing death at 0, along with appropriate zero conditions for duration and health, is supported by theoretical considerations.

Conclusions:

  • Health-utility and duration scales should possess ratio scale properties, necessitating the assignment of 0 to death.
  • The precise positioning of death on the health-utility scale is paramount, as it influences the weighting of life-saving versus life-improving interventions in cost-utility analysis.