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Version devBuilt at: 2026-10-11 02:37:10 EDT

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@jbiebhc.bsky.socialOct 9, 2026, 8:35 PM

Dr Jennifer Stone is the lead author of the paper, 'Common tool structures and approaches to risk assessment: implications for systematic reviewers'. đź”–Bookmark the paper at: https://ow.ly/gKxq50Yq1pG

Watch video abstract: https://www.youtube.com/watch?v=f75iuvNte9M

#JBImethodology

JBI Evidence Synthesis journal front cover. Headshot of Dr Jennifer Stone. Risk of bias: common tool structures and approaches.
@jbiebhc.bsky.socialSep 24, 2026, 4:05 AM

This article discusses some of the distinctions among different tool structures and approaches for risk of bias assessment and the implications of these approaches for systematic reviewers:
https://ow.ly/UlNm50Yq2nB

#JBImethodology #EvidenceSynthesis

@jbiebhc.bsky.socialSep 21, 2026, 2:05 PM

This commentary discusses some of the distinctions among different tool structures and approaches to risk of bias assessment and the implications of these approaches for systematic reviewers: https://ow.ly/of0F50Yq0uy
#JBIMethodology

The cover of the journal, JBI Evidence Synthesis, is set against a blue abstract backdrop. Text below the cover of the journal reads, Risk of bias assessment: common tool structures and approaches
@jbiebhc.bsky.socialSep 16, 2026, 2:45 AM

This infographic has been developed from the research paper, Moving from consultation to co-creation with knowledge users in scoping reviews: https://ow.ly/miBv50Yq0lf

Downloadable infographic: https://jbi.global/scoping-review-network (go to digital resources)

#JBIMethodology #SciComm

Knowledge User Engagement: Using JBI Guidance for Scoping Reviews. Infographic explains how to involve knowledge users (those invested in the production of research, and who may benefit or be impacted by the research) throughout a scoping review: before the review, protocol development, during the review, and after the review. For each stage, it lists ways knowledge users can contribute (eg planning, identifying priorities, helping define research questions, screening and extracting data etc