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Resource allocation in decision support frameworks.

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Summary
This summary is machine-generated.

This study introduces a new method to set resource allocation budgets using multi-criteria decision analysis. It extends cost-effectiveness analysis to incorporate multiple value dimensions beyond quality-adjusted life years (QALYs).

Keywords:
Budget constraintsCost effectiveness analysis (CEA)Cost–benefit analysis (CBA)Investment planningMulti-criteria decision analysis (MCDA)Policy developmentPortfolio analysisQuality-adjusted life years (QALYs)

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Area of Science:

  • Health economics
  • Decision analysis
  • Resource allocation

Background:

  • Traditional cost-benefit and cost-effectiveness analyses have limitations in incorporating diverse value dimensions.
  • Cost-benefit analysis requires monetizing all values, which can be challenging or ethically problematic.
  • Cost-effectiveness analysis uses natural units like quality-adjusted life years (QALYs) but focuses narrowly on efficiency.

Purpose of the Study:

  • To propose a novel approach for determining investment levels within multi-criteria decision frameworks.
  • To address the lack of a standardized method for setting budget constraints in multi-attribute value models.
  • To establish a way to measure willingness to pay for improvements across multiple value attributes.

Main Methods:

  • Developed a concept that establishes a comparable cutoff for multi-criteria value measures based on existing willingness-to-pay estimates for QALYs.
  • Proposed a method to expand acceptable cost per QALY thresholds proportionally to the contribution of QALYs within the overall value measure.
  • Extrapolated agreed-upon cost per QALY values to account for additional value derived from non-QALY attributes.

Main Results:

  • The proposed method creates a quantifiable cutoff for multi-criteria value measures.
  • The approach allows for the integration of non-QALY attributes into cost-effectiveness evaluations.
  • This framework provides a basis for comparing and prioritizing investments across diverse value dimensions.

Conclusions:

  • The cost per QALY cutoff can be adapted as a benchmark for resource allocation decisions in multi-criteria frameworks.
  • This method offers a more comprehensive approach to value assessment in health economics and decision analysis.
  • Facilitates more informed and equitable resource allocation by considering a broader range of value factors.