POS0529 USING SOCIAL MEDIA CONVERSATIONS TO UNDERSTAND PATIENT CARE: FACTORS DRIVING PROACTIVE VS REACTIVE MANAGEMENT OF GOUT

Background To understand the needs of a particular community, it is imperative to actively listen and interpret patient experience. We used proprietary artificial intelligence (AI) analytics engine that uses natural language processing evaluate social media conversations in online gout communities. Gout chronic disease defined by uric acid crystal deposits which induce painful arthritis flares/flare-ups [1] . Managing can be characterized two approaches: proactive reactive management. Proactive management refers scheduled, prophylactic care (e.g., regular doctor visits, treating underlying illness), whereas spontaneous driven symptom onset urgent care/walk-in clinic visits). The ideal strategy debated. Subspecialty groups recommend “treat-to-target” focused on acid. American College Physicians recommends “treat-to-symptom control” without “treat-to-uric acid-target” strategy. assessed views each improve our understanding these methods. Objectives current study aimed identify symptoms associated with also wanted contrast sentiment community when describing vs therapeutic experiences. Methods evaluated 2 sources: private Facebook group, Support Group America (1000+ members, 99 countries), had 50,000 posts/comments gathered 2021-2022; public subreddit (r/gout) (9000+ members) 125,000 from 2011-2022. Our AI first tagged all discussing or Entity recognition was then most frequently mentioned clinical findings type. fit logistic regression model finding mentions predicted characterize general conversations, scored −1 (most negative) 1 positive) using pretrained tagger. Results Flares, pain, acid, swelling were both conversations. Reactive (n = 1253 624 users) significantly higher probability mentioning ‘pain’ ‘swelling’ lower ‘uric acid’ than 1205 posts/comments, 521 users). Mentioning ‘flares’ did not impact either Sentiment analysis showed statements mean score; indicating discussions about experiences tended more negative those care. Conclusion In analyzing posts, we found flares, swelling, concerns related primary motivators for individuals seeking Conversations twice as likely mention compared Analysis negative, supporting position may beneficial overall. This type information address patients’ areas concern dissatisfaction. Future work should continue exploring patient-reported perspectives so clinicians, caregivers, patients better guide care-based decisions. References [1]Mikuls TR. Gout. N Engl J Med 2022;387(20):1877-1887. doi:10.1056/NEJMcp2203385 Acknowledgements authors would like thank TREND Community managers Matthew Horsnell Rachelle Cook their contribution providing advocacy support community; America, access data during preparation this abstract. Funding provided Horizon Therapeutics. Disclosure Interests Maurice Flurie Grant/research from: clients are pharmaceutical biotechnology companies including, but limited Therapeutics, Chiesi Global Rare Disease, Novartis, Harmony Biosciences, Avadel. Community: employee, Monica Converse Kristina Davidson Shareholder of: Employee Daniel Hernandez: None declared, Helen Gary Ho Brian LaMoreaux Christopher Parker Speakers bureau: DeFelice owner, Maria Picone E. Robert Wassman employee.