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Strategic planning for new vaccine candidates has evolved in the US. A flexible multi-criteria systems approach now supports vaccine policy decisions, improving upon static, single-metric methods.

Keywords:
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Area of Science:

  • Public Health
  • Health Policy
  • Decision Science

Background:

  • The United States has a history of strategic planning for prioritizing new vaccine candidates.
  • The Institute of Medicine has led three distinct priority-setting initiatives since 1985.
  • Previous methods relied on single metrics, such as infant mortality equivalents and cost-effectiveness.

Purpose of the Study:

  • To review the evolution of vaccine candidate prioritization strategies in the US.
  • To introduce a modern multi-criteria decision support system for vaccine policy.
  • To highlight the advantages of a flexible, systems-based approach over static, single-metric methods.

Main Methods:

  • Review of historical strategic planning efforts and methodologies for vaccine prioritization.
  • Description of a multi-criteria systems approach implemented in 2015.
  • Incorporation of stakeholder feedback on the developed decision support tool.

Main Results:

  • Evolution from infant mortality equivalents and cost-effectiveness to a flexible multi-criteria system.
  • The new system allows for dynamic evaluation of vaccine candidates based on multiple attributes.
  • Overcomes limitations of static, single-metric approaches that struggle with new data.

Conclusions:

  • A multi-criteria systems approach enhances vaccine policy decision-making by incorporating diverse factors.
  • This flexible approach can adapt to emerging pathogens, scientific advances, and changing intervention costs.
  • The enhanced system provides a more robust framework for informing and supporting vaccine policies.