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I-REFF diagrams: enhancing transparency in systematic review through interactive reference flow diagrams
Vickie R Walker1, Courtney R Lemeris2, Kristen Magnuson2
1Division of Translational Toxicology (DTT), National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Mail Drop K204, Research Triangle Park, P.O. Box 12233, Durham, NC, 27709, USA. vickie.walker@nih.gov.
Systematic Reviews
|January 17, 2024
Summary
This study introduces the Interactive REFerence Flow (I-REFF) diagram, an efficient and transparent method for visualizing systematic review data. I-REFF diagrams, generated using online tools, enhance traceability and simplify the review process.
Area of Science:
- Health Research Methodology
- Data Visualization in Science
Background:
- Systematic review methods are crucial for rigorous health research, demanding transparency and clear reporting.
- Existing reporting guidelines like PRISMA, CONSORT, and STROBE enhance systematic review practices.
- Data visualizations, particularly study flow diagrams, are vital for conveying complex review information efficiently.
Discussion:
- Static flow diagrams are time-consuming and offer limited interactive insights.
- The study explores using DistillerSR and Tableau to create Interactive REFerence Flow (I-REFF) diagrams.
- I-REFF diagrams link directly to literature screening data, minimizing preparation and simplifying updates.
Key Insights:
- I-REFF diagrams enhance transparency and traceability by allowing users to follow individual records.
- This approach streamlines the creation and maintenance of literature flow diagrams.
- Interactive elements in I-REFF diagrams improve reader comprehension and assessment of review data.
Outlook:
- The workflow offers an accessible and transparent method for generating interactive literature flow diagrams.
- Future recommendations focus on key interactive elements for enhanced user experience.
- This innovation aims to improve efficiency in systematic review reporting without requiring advanced programming skills.
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