Identifying Patient-Centered Research Priorities in Overactive Bladder by Crowdsourcing and Targeted Recruitment

Introduction:Patient perspectives in quality-of-life improvement are critical to measuring treatment outcomes. We aimed to identify patient priorities for overactive bladder (OAB) research.Methods:Participants were recruited utilizing the Amazon Mechanical Turk database, an online marketplace where individuals receive payment for completing tasks. Those who scored 4 or higher on the OAB-V3, a simple 3-question screening survey, were requested to complete an "OAB-q and Prioritization Survey," which identified preferences for future OAB research priorities, demographic and clinical data, and symptom severity via the OAB-q. Participants must have correctly answered an attention-confirming question to have their responses included in the final analysis.Results:Of 555 responders, 352 screened positive on the OAB-V3 and 232 completed the followup survey and met study criteria. The top 3 research preferences were: discovering the etiology of OAB (31%); individualized treatment based on age, race, gender and comorbidities (19%); and identifying the fastest OAB treatments (15%). Participants who selected etiology of OAB in the top 3 research priorities (56%) were older (38.7±2.1 vs 33.9±1.5 years, p=0.05) and had significantly lower mean health-related quality of life scores than those who did not (25.1±2.5 vs 35.5±3.9, p=0.02).Conclusions:Using Amazon Mechanical Turk, we present the first report of OAB research priorities identified by patients experiencing OAB symptoms. Crowdsourcing offers a timely and cost-effective manner to learn directly from people with OAB symptoms. Few participants sought treatment for OAB despite having bothersome symptoms.