At a glance
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Predict + Protect: A Randomized Controlled Trial Exploring the Effectiveness of a Predictive Health Education Intervention on the Adoption of Protective Behaviors Related to Influenza-like Illness (ILI)
In Brief
A clinical study evaluating ILI Predictive Alerts, Reactive Content, and Proactive Content, ILI Predictive Alerts, Reactive Content, and 2 other interventions for Influenza and 4 related conditions. Completed, enrolled 17,043 participants across 1 site.
Detailed Summary
The goal of this prospective, digital randomized controlled trial is to evaluate the effectiveness of a predictive ILI detection algorithm and associated alerts during influenza season for adults living in the contigent United States. The main study objectives are to assess the effectiveness of predictive ILI detection algorithm and associated alerts on protective behaviors related to ILI and assess the accuracy of a predictive ILI detection algorithm using participant self-reported ILI symptoms and diagnosis.
Study Details
Timeline
Interventions
Participants receive ILI-related education, feedback, and opportunities to self-monitor ILI symptoms, in addition they also receive alerts about potential ILI illness, and reactive and personalized content about protective health behaviors.
Participants receive alerts about potential ILI illness, and reactive and personalized content about protective health behaviors.
Participants receive ILI-related education, feedback, and opportunities to self-monitor ILI symptoms.
Participants will not receive predictive alerts or reactive content after reporting symptoms or proactive IILI-related health educational content