Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Birgit Teufer1, Barbara Nußbaumer-Streit1, Lukas Schwingshackl2

  • 1Department für Evidenzbasierte Medizin und Evaluation, Donau-Universität Krems, Krems, Österreich.

Zeitschrift Fur Evidenz, Fortbildung Und Qualitat Im Gesundheitswesen
|September 1, 2020
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Leveraging artificial intelligence for evidence synthesis.

JBI evidence synthesis·2026
Same author

AI-enabled GRADE: How the GRADE Working Group will use automation to rate the certainty of evidence of intervention effects.

Journal of clinical epidemiology·2026
Same author

Cochrane Evaluation of (Semi-) Automated Review Methods (CESAR): Protocol for an adaptive platform study within reviews.

Journal of clinical epidemiology·2026
Same author

Area under the likelihood curve as a measure of evidential weight in nonsignificant meta-analyses: a meta-epidemiological study.

Journal of clinical epidemiology·2026
Same author

Assessing the trustworthiness of health guidelines recommendations: the transparent, rigorous, useable, standardized, and trustworthy guide (TRUSTGUIDES) tools development.

Journal of clinical epidemiology·2026
Same author

Evaluating search approaches for a network meta-analysis: a case study of Epistemonikos Database of Trials, CENTRAL, and other sources.

BMC medical research methodology·2026
This summary is machine-generated.

This guidance helps incorporate health equity into the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) evidence to decision process. It offers two methods to ensure recommendations benefit all populations, especially disadvantaged groups.

Area of Science:

  • Health Equity Research
  • Clinical Guideline Development
  • Evidence-Based Medicine

Background:

  • Health equity is crucial in clinical guideline development.
  • Existing frameworks may not adequately address equity considerations.
  • The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system is widely used for guideline development.

Purpose of the Study:

  • To provide detailed guidance on integrating health equity into the GRADE evidence to decision (EtD) process.
  • To offer practical approaches for guideline panels to consider equity.
  • To support the development of recommendations that promote health equity.

Main Methods:

  • Guidance developed using the GRADE evidence to decision framework.
  • Iterative review and modification of draft documents.
Keywords:
DisadvantagedEvidence to decision processGRADE LeitlinienGRADE guidelinesGerechtigkeit im GesundheitswesenHealth equitySpecial populationsUnderservedUnterversorgungsoziale Benachteiligungspezielle Zielgruppenvon der Evidenz zur Empfehlung

Related Experiment Videos

  • In-person discussions among project group members and input from other GRADE members.
  • Main Results:

    • Two primary approaches for incorporating equity are proposed: assessing intervention impact on equity and integrating equity into EtD criteria judgments.
    • Guidance and illustrative examples are provided for applying these approaches.
    • Consideration of equity is essential for both general and population-specific guidelines.

    Conclusions:

    • Guideline panels must consider the impact of recommendations on health equity, particularly for remote, underserved, and disadvantaged populations.
    • Equity judgments can be incorporated across the entire GRADE EtD framework.
    • This paper is the final in a series by the GRADE equity subgroup on considering equity in guideline development.