[GRADE: Evidence to Decision (EtD) framework for coverage decisions]

Z Evid Fortbild Qual Gesundhwes. 2020 Apr:150-152:134-141. doi: 10.1016/j.zefq.2020.03.002. Epub 2020 May 22.
[Article in German]

Abstract

Background: Coverage decisions are decisions by third party payers about whether and how much to pay for technologies or services, and under what conditions. Given their complexity, a systematic and transparent approach is needed. The DECIDE project, a GRADE working group initiative funded by the European Union, has developed GRADE Evidence to Decision (EtD) frameworks for different types of decisions, including coverage ones.

Methods: We used an iterative approach, including brainstorming to generate ideas, consultation with stakeholders, user testing, and pilot testing of the framework.

Results: The general structure of the EtD includes formulation of the question, an assessment using 12 criteria, and conclusions. Criteria that are relevant for coverage decisions are similar to those for clinical recommendations from a population perspective. Important differences between the two include the decision-making processes, accountability, and the nature of the judgments that need to be made for some criteria. Although cost-effectiveness is a key consideration when making coverage decisions, it may not be the determining factor. Strength of recommendation is not directly linked to the type of coverage decisions, but when there are important uncertainties, it may be possible to cover an intervention for a subgroup, in the context of research, with price negotiation, or with restrictions.

Conclusion: The EtD provides a systematic and transparent approach for making coverage decisions. It helps ensure consideration of key criteria that determine whether a technology or service should be covered and that judgments are informed by the best available evidence.

Keywords: Coverage decisions; Erstattungsentscheidungen; GRADE.

MeSH terms

  • Decision Making*
  • European Union
  • Evidence-Based Medicine*
  • Germany
  • Uncertainty