Risk of bias in model-based economic evaluations: the ECOBIAS checklist

C.C. Adarkwah*, P. van Gils, M. Hiligsmann, S.M.A.A. Evers

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Several biases can occur when performing economic evaluations (EE) and it is important for researchers to minimize these biases, as they can significantly affect economic outcomes. This review aims, firstly, to identify biases that can occur in model-based EE and to illustrate their impact on economic outcomes and, secondly, to present a checklist for assessing the overall risk of bias in EE. Eleven biases that can occur in model-based studies were identified through a scoping review, scrutiny of systematic reviews, the authors' own experiences and discussions with experts. By combining these biases that can occur in model-based studies with biases that were identified for trial-based studies in a previous article, a 22-item checklist was developed for assessing bias in EE - the ECOBIAS checklist. This study and the ECOBIAS checklist aim to help researchers reduce biases in future EE, particularly in model-based EE. Nevertheless, further validation of the checklist is needed.

Original languageEnglish
Pages (from-to)513-523
Number of pages11
JournalExpert Review of Pharmacoeconomics & Outcomes Research
Volume16
Issue number4
Early online date20 Nov 2015
DOIs
Publication statusPublished - 2016

Keywords

  • bias
  • model-based studies
  • cost and outcomes
  • economic evaluation
  • systematic error
  • checklist
  • HEALTH TECHNOLOGY-ASSESSMENT
  • COST-EFFECTIVENESS ANALYSES
  • ALONGSIDE CLINICAL-TRIALS
  • TASK-FORCE REPORT
  • QUALITY
  • GUIDELINES
  • OSTEOPOROSIS
  • VALIDATION
  • RECOMMENDATIONS
  • NETHERLANDS

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