2537. #IDDailyPearl: A Twitter Tool to Enhance Literature Engagement on Busy Infectious Diseases Consult Services

BACKGROUND: Social media platforms enable on-demand, open-access learning which is attractive for busy clinicians and trainees. Additionally, teaching that occurs in a clinically contextualized, case-based setting in real time has the potential to be more effective than traditional didactics. We piloted a teaching tool to enhance learning and engagement with the literature for fellows on the infectious diseases (ID) consult service. METHODS: During a clinical service rotation, ID faculty posted a brief daily teaching point on Twitter under the hashtag “#IDDailyPearl” with a link to the relevant article. Tweets were required to be related to a patient case, associated with an article, and could not include patient identifiers. RESULTS: Over a 3-month period, there were 134 tweets that fit our criteria, with 103 tweets posted by UCSD faculty and 45 by faculty from other institutions. The most common topic was endocarditis and bacteremia (16.4%), followed by fungal infections (11%), tuberculosis (9.4%), and antimicrobials (9.4%) (Figure 1). Article types included review articles (21.6%), retrospective cohort studies (20.2%), case reports (13.5%), randomized controlled trials (12.1%), prospective cohort studies (9.4%), and guidelines (8.8%). Most articles cited were published after 2015 (61.6%), and were from infectious diseases journals (58.2%). The average journal impact factor was 13 (range 0.07–79), with Clinical Infectious Diseases as the most commonly mentioned journal (20.2%). Tweets were “liked” 14.5 times (range 0–80) and re-tweeted 4.6 times (range 0–33). The twitter engagement rate per tweet was 6.3% (range 2.2 to 12%) and article links were clicked 19 times (range 3–164). We are currently identifying Tweet characteristics associated with increased engagement rates. CONCLUSION: Our study provides a snapshot of the literature used to teach while on the ID clinical service and lays the groundwork for identifying teaching points that receive the most engagement. This tool enables teaching points and high-yield articles to be shared within and across institutions. Future studies will examine the impact that this tool has on fellow and faculty learning, and engagement with and knowledge of the current literature. [Image: see text] DISCLOSURES: All authors: No reported disclosures.