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Supporting effective participation in health guideline panels: The Guideline Participant Tool
Supporting effective participation in health guideline panels: The Guideline Participant Tool
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Supporting effective participation in health guideline panels: The Guideline Participant Tool
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Supporting effective participation in health guideline panels: The Guideline Participant Tool
Supporting effective participation in health guideline panels: The Guideline Participant Tool
Journal Article

Supporting effective participation in health guideline panels: The Guideline Participant Tool

2020
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Overview
BackgroundHealth guidelines are a key knowledge translation tool produced and utilized by numerous stakeholders worldwide. Effective participation in guideline panels or development groups is crucial for guideline success, yet little guidance exists for members of these groups. In this study, we present the Guideline Participant Tool (GPT) to support effective participation in guideline panels, in particular those using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. MethodsWe used a mixed methods and iterative approach to develop a tool to support guideline participation. We used the findings of a published systematic review to develop an initial list of items for considerations for guideline participants. Then, we refined this list through key informant interviews with guideline chairs, sponsors, and participants. Finally, we validated the GPT in three guideline groups with 26 guideline group members. ResultsThe initial list of items based on 37 articles from the existing systematic review included 15 themes and 61 items for a draft tool. Ten key informant interviews helped us refine the list to include the following themes: selection of participants, guideline group process, and tool format. 26 respondents completed the validation survey from three guideline groups. Refinement of the tool ultimately generated a GPT with 33 items for participant consideration before, during, and in follow-up to guideline group meetings. DiscussionThe GPT contains helpful guidance for all guideline participants, particularly those without previous guideline experience. Future research should further explore the need for additional tools to support guideline participants, and identify and develop strategies for improving guideline members’ participation in guideline groups. This work will be incorporated into INGUIDE.org GRADE guideline training and credentialing efforts by the Guideline International Network (GIN) and McMaster University.