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Area of Science:

  • Health Economics
  • Health Policy
  • Outcomes Research

Background:

  • Health-related quality of life (HRQoL) value sets are crucial for estimating quality-adjusted life years (QALYs) in healthcare economic evaluations.
  • Many existing value sets are becoming obsolete due to outdated methodologies and non-representative population data.
  • A strategy to identify and mitigate value set obsolescence is essential for maintaining policy maker confidence.

Purpose of the Study:

  • To develop a taxonomy for classifying value set obsolescence.
  • To explore methods for identifying different types of obsolescence.
  • To propose solutions for addressing value set obsolescence in collaboration with policymakers.

Main Methods:

  • Development of a four-part taxonomy for value set obsolescence.
  • Categorization includes misalignment with HTA requirements, outdated methodologies, population drift, and changing preferences.
  • Exploration of mitigation strategies from sensitivity analyses to new data collection.

Main Results:

  • The taxonomy identifies four key areas of value set obsolescence.
  • Specific solutions are proposed for each type of obsolescence, tailored to local contexts.
  • Collaboration between methodologists and policymakers is highlighted as key.

Conclusions:

  • Value set obsolescence is complex and requires careful assessment beyond just time since data collection.
  • The proposed taxonomy provides a framework for evaluating and responding to obsolescence.
  • Regular review and potential updating of value sets using current best practices are recommended, balancing benefits against costs.