GRADE-Leitlinien zu Gerechtigkeit 4. Berücksichtigung der Gerechtigkeit im Gesundheitswesen bei der Entwicklung von GRADE-Leitlinien: von der Evidenz zur Empfehlung

Z Evid Fortbild Qual Gesundhwes. 2020 Nov:156-157:105-112. doi: 10.1016/j.zefq.2020.07.005. Epub 2020 Aug 27.
[Article in German]

Abstract

Objectives: The aim of this paper is to provide detailed guidance on how to incorporate health equity within the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) evidence to decision process.

Study design and setting: We developed this guidance based on the GRADE evidence to decision frame-work, iteratively reviewing and modifying draft documents, in person discussion of project group members and input from other GRADE members. This is a German translation of the original paper published in English.

Results: Considering the impact on health equity may be required, both in general guidelines and guide-lines that focus on disadvantaged populations. We suggest two approaches to incorporate equity considerations: (1) assessing the potential impact of interventions on equity and (2) incorporating equity considerations when judging or weighing each of the evidence to decision criteria. We provide guidance and include illustrative examples.

Conclusion: Guideline panels should consider the impact of recommendations on health equity with attention to remote and underserviced settings and disadvantaged populations. Guideline panels may wish to incorporate equity judgments across the evidence to decision framework. This is the fourth and final paper in a series about considering equity in the GRADE guideline development process. This series is coming from the GRADE equity subgroup.

Keywords: Disadvantaged; Evidence to decision process; GRADE Leitlinien; GRADE guidelines; Gerechtigkeit im Gesundheitswesen; Health equity; Special populations; Underserved; Unterversorgung; soziale Benachteiligung; spezielle Zielgruppen; von der Evidenz zur Empfehlung.

MeSH terms

  • Germany
  • Health Equity*
  • Humans
  • Vulnerable Populations