PT  - JOURNAL ARTICLE
AU  - Metzger, Kristina
AU  - Lombardi, Leah
AU  - Gadagkar, Shrenik
AU  - Curry, Allison
TI  - 143 Systematic review of web-based injury data dashboards
AID  - 10.1136/injuryprev-2022-SAVIR.132
DP  - 2022 Mar 01
TA  - Injury Prevention
PG  - A51--A51
VI  - 28
IP  - Suppl 1
4099  - http://injuryprevention.bmj.com/content/28/Suppl_1/A51.2.short
4100  - http://injuryprevention.bmj.com/content/28/Suppl_1/A51.2.full
SO  - Inj Prev2022 Mar 01; 28
AB  - Statement of Purpose The public health and injury prevention communities share a common goal to reduce injuries and resulting fatalities. Public-facing data dashboards are modern, user-friendly tools that facilitate data sharing between these groups and visualize foundational data to monitor trends and guide prevention efforts. We conducted a systematic review of existing web-based injury data dashboards to systematically describe their features, determine best practices, and identify critical information gaps.Methods/Approach Following PRISMA guidelines, we used the Google Advanced Search tool and a series of pre-defined search terms to identify web-based data dashboards that present injury data on populations located in all 50 US states and its 25 most populous cities. Using a standardized REDCap data collection tool, we reviewed multiple elements of each eligible dashboard, including types of injury data presented, underlying population, available data filters, data visualized, usability characteristics, and metadata.Results We conducted 219 unique search queries and found 89 relevant websites for US-based injury data dashboards (70% of locations searched had at least one dashboard). The most common types of injury data presented were from hospital discharge, mortality, EMS, and motor vehicle crashes. Most dashboards provided filters that allow the user to view injury data by subsets of geography, time, and/or demographic characteristics. All dashboards visualized data using at least one type of graphical display (e.g., bar chart, line graph); most also presented data using maps or tables. Notably, many dashboards lacked features such as robust documentation and ADA accessibility.Conclusion Our presentation will highlight specific strengths among injury data dashboards and provide tangible recommendations for improvement and future development.Significance These results inform the purpose, usability, and appearance of current and future injury data dashboards, particularly those intended to be used by a diverse set of stakeholders.