Rule-Based High-Risk Flu

StatusCompleted
PhaseNot applicable
Started

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Record History

  1. Minor Completed without a posted recruiting period
    • Enrollment target: estimated 51215 to confirmed 51218
  2. Minor Study First Submitted
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
Previous work by the study team has shown that informing patients of their high risk of flu and flu-related complications increases their likelihood of getting a flu shot (Rosenbaum et al., 2026). In this work, an artificial intelligence (AI)-based algorithm determined which patients were at high risk for flu. This year, the team will test whether risk messages remain effective when a non-algorithmic rule-based additive risk index (McGovern et al., 2024) is used to identify patients at high risk.
Trial Details
NCT Number NCT07798882
Lead Sponsor Geisinger Clinic
Conditions
(from sponsor)
Influenza, Vaccination, Risk Reduction, Health Behavior, Health Promotion
Related terms Health Behavior, Influenza, Human, Risk Reduction Behavior
Enrollment 51,218 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov