Rule-Based High-Risk Flu

Part of paid clinical trials in Danville, Pennsylvania.

Sponsor
Geisinger Clinic
Study ID
NCT07798882
Status
Not Yet Recruiting

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Conditions

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

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Risk reduction — BEHAVIORAL
    Mailed letter, patient portal message and/or text message

Study Details

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.

Key Dates

First listed
Sep 2, 2026
Start date
Sep 1, 2026
Status verified
Aug 2026
Primary completion
Sep 30, 2026
Completion
Sep 30, 2026

Study Design

Enrollment
51,215 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION

Arms

  • No Intervention: Control
    This group will not be sent high-risk flu shot messages, but will be sent normal system messages about flu shots.
  • Experimental: High-risk outreach
    This group will be sent messages informing them of their high risk for flu and flu-related complications, in addition to the normal system messages sent to the control group.

Primary Outcome Measure

Flu vaccination (y/n) [ Time Frame: In the 29 days following the date the first messages were sent ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Geisinger HealthDanvillePennsylvania17822-

Find similar trials in Danville, PA

By research site
Geisinger Health· Danville, PA

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