OHSU Evidence-Based Practice Course for Interprofessional Clinical Teams
Session 5: Agenda
Session date: Thursday, May 16, 2019
Location: RJH 4320 Auditorium
Topics:
- Using Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology to evaluate a body of literature
- Quality of Evidence
- Downgrading quality
- Upgrading quality
- Making Practice Recommendations
- Strong
- Weak
- Quality of Evidence
Assignments:
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Schedule consult to review GRADE table
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Complete GRADE evidence table and “Critically Analyze the Evidence” and “Apply the Evidence” sections of guideline by Wednesday, May 29th
Session 5: Pre-Session Work
lease complete the following tasks PRIOR to our class session on May 16th.
Task 1: Read the following article introducing the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology.
Feel free to browse the GRADE website for more resources and information.
Session 5: Lecture Slides and Handouts
Session 5 Lecture Recording
Additional Resources: GRADE criteria
If you are interested in reading more in-depth about the GRADE criteria, please review the following articles:
Downgrading level of evidence:
Upgrading level of evidence:
Additional Resources: GRADE recommendations
If you are interested in reading more in-depth about how to make a clinical practice recommendation using GRADE, please review the following articles:
From Evidence to Recommendation: http://www.bmj.com/content/bmj/336/7652/1049.full.pdf
Using GRADE to make Clinical Practice Recommendations
The Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria are used to evaluate the body of evidence used to make clinical practice recommendations.
The steps for upgrading/downgrading the level of evidence for a body of literature is described on Page 1. The table on Page 2 defines how the quality of the evidence is used to establish Strong and Weak clinical practice recommendations.
- Last Updated: Feb 7, 2023 12:40 PM
- URL: https://libguides.ohsu.edu/EBP4ClinicalTeams
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