Development of the Reporting Infographics and Visual Abstracts of Comparative studies (RIVA-C) checklist and guide

Joshua R Zadro*, Giovanni E Ferreira, Will Stahl-Timmins, Veronika Egger, Mark R Elkins, Andrew R Gamble, Mary O'Keeffe, Kirsten J McCaffery, Ian A Harris, Clare L Ardern, Courtney A West, Chris G Maher, Tammy C Hoffmann

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

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Abstract

People often use infographics (also called visual or graphical abstracts) as a substitute for reading the full text of an article. This is a concern because most infographics do not present sufficient information to interpret the research appropriately and guide wise health decisions. The Reporting Infographics and Visual Abstracts of Comparative studies (RIVA-C) checklist and guide aims to improve the completeness with which research findings of comparative studies are communicated and avoid research findings being misinterpreted if readers do not refer to the full text. The primary audience for the RIVA-C checklist and guide is developers of infographics that summarise comparative studies of health and medical interventions. The need for the RIVA-C checklist and guide was identified by a survey of how people use infographics. Possible checklist items were informed by a systematic review of how infographics report research. We then conducted a two-round, modified Delphi survey of 92 infographic developers/designers, researchers, health professionals and other key stakeholders. The final checklist includes 10 items. Accompanying explanation and both text and graphical examples linked to the items were developed and pilot tested over a 6-month period. The RIVA-C checklist and guide was designed to facilitate the creation of clear, transparent and sufficiently detailed infographics which summarise comparative studies of health and medical interventions. Accurate infographics can ensure research findings are communicated appropriately and not misinterpreted. By capturing the perspectives of a wide range of end users (eg, authors, informatics editors, journal editors, consumers), we are hopeful of rapid endorsement and implementation of RIVA-C.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalBMJ Evidence-Based Medicine
Early online date19 Jan 2024
DOIs
Publication statusPublished - 19 Jan 2024

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