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Rule-Based High-Risk Flu

NCT07798882 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 51215

Last updated 2026-09-02

No results posted yet for this study

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.

Conditions

  • Influenza
  • Vaccination
  • Risk Reduction
  • Health Behavior
  • Health Promotion

Interventions

BEHAVIORAL

Risk reduction

Mailed letter, patient portal message and/or text message

Sponsors & Collaborators

  • Geisinger Clinic

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-01
Primary Completion
2026-09-30
Completion
2026-09-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07798882 on ClinicalTrials.gov