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The authors conducted a digital analysis of anonymous online posts on social media sites collected by a social media data mining service. One thousand posts about pelvic organ prolapse (POP), stress urinary incontinence (SUI), overactive bladder (OAB), urinary tract infection (UTI), and interstitial cystitis/bladder pain syndrome (IC/BPS) were randomly selected. They analyzed these posts for recommendations regarding the prevention and treatment of these diseases, which were then compared to recommendations in available clinical guidelines and assessed for level of evidence.
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