Crowdsourcing Techniques for Quality Assessment of ePROMs

Electronic Patient-Reported Outcome Measures (ePROMs) are widely used in telemonitoring for efficient patient status assessment, without the need of clinician intervention. However, the quality of collected data is often compromised by issues such as patient comprehension, response fatigue, and varying levels of digital proficiency. We're looking at ways to overcome these challenges by using crowdsourcing techniques to evaluate the quality and reliability of patient responses. Our idea is to enhance PROMs by adding elements inspired by crowdsourcing, such as asking repeated or counterfactual questions, gauging self-reported confidence, and checking internal response consistency. This is all about improving how we understand and assess patient feedback without changing the original questionnaire's structure. To show how this can work in practice, we've designed a proposal using the SNOT-22 questionnaire, which is used in otolaryngology to manage chronic upper airway diseases. Our plan involves adding extra questions and using metadata analysis to indirectly but effectively enhance response quality.