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Challenges in synthesising cost-effectiveness estimates.

Gemma E Shields1, Jamie Elvidge2

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Systematic Reviews
|December 10, 2020
PubMed
Summary
This summary is machine-generated.

Systematic reviews of economic evaluations are crucial for resource allocation decisions. However, meta-analysis of economic outcomes is challenging due to study heterogeneity, making narrative synthesis more common and robust.

Keywords:
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Area of Science:

  • Health Economics
  • Evidence Synthesis
  • Decision Science

Background:

  • Economic evaluations guide resource allocation by assessing cost-effectiveness.
  • Systematic reviews of economic evaluations identify intervention cost-effectiveness, uncertainty, and evidence gaps.
  • Narrative synthesis is common for economic evaluations, unlike meta-analysis used for clinical outcomes.

Discussion:

  • Meta-analysis of economic outcomes (e.g., cost-effectiveness ratios, quality-adjusted life years) faces significant challenges.
  • Heterogeneity in study designs, methods, and practical issues limit the feasibility and robustness of meta-analysis for economic data.
  • This commentary addresses the complexities of synthesizing economic evidence, providing examples to guide researchers.

Key Insights:

  • Meta-analysis of economic evaluations is rarely feasible or robust due to inherent heterogeneity.
  • Narrative synthesis remains the preferred method for summarizing economic evidence.
  • Understanding these limitations is vital for researchers conducting systematic reviews in health economics.

Outlook:

  • Future research may explore advanced methods to address heterogeneity in economic data synthesis.
  • Improved standardization of economic evaluation methodologies could facilitate more robust meta-analyses.
  • Continued focus on transparent reporting of economic evaluations is essential for evidence-informed decision-making.