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Developing a scoring system to quality assess economic evaluations.

J G Gonzalez-Perez1

  • 1Health Economic Research Unit, University of Aberdeen, Foresterhill, UK. j.g.gonzalez@abdn.ac.uk

The European Journal of Health Economics : HEPAC : Health Economics in Prevention and Care
|December 21, 2004
PubMed
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Assessing economic evaluations requires quality checklists. This study developed three methods using Drummond et al.

Area of Science:

  • Health Economics
  • Health Technology Assessment

Background:

  • The increasing volume of economic evaluations necessitates robust quality assessment frameworks.
  • Checklists and scoring systems are crucial for ensuring evidence-based decision-making in healthcare.
  • Drummond et al.'s checklist is a prominent tool for evaluating study methodology and result validity.

Purpose of the Study:

  • To develop and evaluate three distinct methods for assessing the quality of economic evaluations using Drummond et al.'s checklist.
  • To compare the effectiveness of different scoring approaches (additive vs. multiplicative) in differentiating study quality.

Main Methods:

  • A random sample of 50 papers from the NHS Economic Evaluation Database was analyzed.
  • Method 1: Direct application of Drummond et al.'s checklist with equal weighting for all ten items.

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  • Method 2: An additive scoring system incorporating a hierarchy of effectiveness data and transferability.
  • Method 3: A multiplicative scoring system to assess study quality.

    • Main Results:

    • Method 1 effectively identifies low-quality studies but struggles to differentiate high-quality ones.
    • Method 2, incorporating effectiveness hierarchy and transferability, significantly reduced the number of top-scoring papers compared to Method 1.
    • Method 3, using a multiplicative approach, improved discrimination between good-quality studies but reduced it for poor-quality studies.

    Conclusions:

    • Drummond et al.'s ten-point checklist is a valuable and efficient tool for appraising economic evaluations.
    • The developed methods offer nuanced approaches to quality assessment, aiding decision-makers and researchers in identifying relevant studies.
    • Different scoring methodologies impact the discrimination power of the checklist, suggesting tailored application based on study quality assessment needs.