Reporting Guidelines for the Use of Expert Judgement in Model-Based Economic Evaluations

Pharmacoeconomics. 2016 Nov;34(11):1161-1172. doi: 10.1007/s40273-016-0425-9.

Abstract

Introduction: Expert judgement has a role in model-based economic evaluations (EEs) of healthcare interventions. This study aimed to produce reporting criteria for two types of study design to use expert judgement in model-based EE: (i) an expert elicitation (quantitative) study; and (ii) a Delphi study to collate (qualitative) expert opinion.

Methods: A two-round online Delphi process identified the degree of consensus for four core definitions (expert; expert parameter values; expert elicitation study; expert opinion) and two sets of reporting criteria in a purposive sample of experts. The initial set of reporting criteria comprised 17 statements for reporting a study to elicit parameter values and/or distributions and 11 statements for reporting a Delphi survey to obtain expert opinion. Fifty experts were invited to become members of the Delphi process panel by e-mail. Data analysis summarised the extent of agreement (using a pre-defined 75 % 'consensus' threshold) on the definitions and suggested reporting criteria. Free-text comments were analysed using thematic analysis.

Results: The final panel comprised 12 experts. Consensus was achieved for the definitions of expert (88 %); expert parameter values (83 %); and expert elicitation study (83 %). The panel recommended criteria to use when reporting an expert elicitation study (16 criteria) and a Delphi study to collate expert opinion (11 criteria).

Conclusion: This study has produced guidelines for reporting two types of study design to use expert judgement in model-based EE: (i) an expert elicitation study requiring 16 reporting criteria; and (ii) a Delphi study to collate expert opinion requiring 11 reporting criteria.

MeSH terms

  • Consensus
  • Delivery of Health Care / economics*
  • Delphi Technique
  • Guidelines as Topic*
  • Humans
  • Models, Economic*
  • Research Design