You have accessJournal of UrologyCME1 May 2022MP46-05 CHARACTERIZING ONLINE TESTICULAR CANCER DISCUSSIONS WITH QUANTITATIVE THEMATIC ANALYSIS Krishna Ravivarapu, Alexander Small, Micah Levy, Chih Peng Chin, Evan Garden, Osama Al-Alao, Joseph Sewell Araya, and Michael Palese Krishna RavivarapuKrishna Ravivarapu More articles by this author , Alexander SmallAlexander Small More articles by this author , Micah LevyMicah Levy More articles by this author , Chih Peng ChinChih Peng Chin More articles by this author , Evan GardenEvan Garden More articles by this author , Osama Al-AlaoOsama Al-Alao More articles by this author , Joseph Sewell ArayaJoseph Sewell Araya More articles by this author , and Michael PaleseMichael Palese More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002612.05AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Patients are increasingly turning to the internet to crowdsource community support and medical advice. This is especially true for younger patient populations like those affected by testicular cancer. Extracting information from online discussions can facilitate better counseling and care by giving providers insights into prevailing concerns, common misconceptions, and shared emotions. We aim to use quantitative natural language processing methodology to identify key themes of discussion in one of the internet’s largest testicular cancer forums. METHODS: We extracted three years of posts (08/2016 to 08/2019) and comments (01/2017 to 12/2019) from the 3,593 member Reddit community r/testicularcancer. The dataset was analyzed by a meaning extraction method followed by principal component analysis (MEM/PCA) to computationally distill major themes of discussion (Figure 1). Kaiser-Meyer-Olkin Measure of Sampling Adequacy (>0.60) and Bartlett’s test of sphericity (<0.001) indicate that the data is suitable for MEM/PCA. RESULTS: 17,423 posts and comments were analyzed with MEM/PCA to generate five major themes of discussion, ranked by prevalence: 1) chemotherapy and side effects 2) medical evaluation after self-identifying an anomaly, 3) cancer diagnosis and surgery, 4) blood test result discussion of specific tumor markers, and 5) medical decision-making. Users seeking medical advice, such as questions about self-identified testicular anomalies (“lump” 5.2%), are consistently referred to medical evaluation (“urologist” 6.3%, “oncologist” 5.3%). Posts can be very technical, referring to forms of testicular cancer (“seminoma” 4.1%, “embryonal [carcinoma]” 1.1%, “teratoma” 1.1%, “yolk [sac] carcinoma” 0.6%, and “choriocarcinoma” 0.3%) as well as specific tumor markers (“AFP” 1.5%, “HCG” 1.1%, “LDH” 0.6%). Regarding “chemotherapy” (17.5%), “hair [loss]” (2.4%) is a major concern. CONCLUSIONS: Social media forums allow patients to express unbiased and uninhibited thoughts and concerns. These anecdotes can collectively influence patient attitudes and approaches. Therefore, it is important for providers to be aware of the key topics of discussion on social media to connect better with their patients, improving shared decision-making, patient satisfaction, and care. Source of Funding: None © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e774 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Krishna Ravivarapu More articles by this author Alexander Small More articles by this author Micah Levy More articles by this author Chih Peng Chin More articles by this author Evan Garden More articles by this author Osama Al-Alao More articles by this author Joseph Sewell Araya More articles by this author Michael Palese More articles by this author Expand All Advertisement PDF DownloadLoading ...