Rule-Based High-Risk Flu

Conditions: Influenza, Vaccination, Risk Reduction, Health Behavior, Health Promotion

Sex: All

Ages: 18 Years – N/A

Healthy volunteers: No

Phase: NA

Enrollment: 51215

Sponsor: Geisinger Clinic

Summary

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.

Eligibility Criteria

Inclusion Criteria: * Age 18 or older * Has four or more CDC risk factors for influenza reflected in EHR data * Has a primary care physician employed by Geisinger * Attended at least one appointment at Geisinger between 7/17/2024 and 7/16/2026 * Attended at least one primary care appointment at Geisinger between 10/1/2008 and 7/16/2026 Exclusion criterion: \- Attended an appointment at Community Care between 9/1/2024 and 7/16/2026

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07798882). StuddyBuddy aggregates publicly available trial information.