High-risk Influenza Vaccine Alert
- Conditions
- Influenza
- Interventions
- Behavioral: AlertBehavioral: Salient alert featuresBehavioral: High-risk TextBehavioral: Risk factors
- Registration Number
- NCT05492786
- Lead Sponsor
- Geisinger Clinic
- Brief Summary
The purpose of this study is to assess, prospectively, the effect on flu vaccination rates of salient alerts in the electronic health record that indicate a patient's high risk for flu and its complications. The investigators hypothesize that the salient alerts will lead to increased flu vaccination compared with a standard flu alert.
- Detailed Description
The CDC (Centers for Disease Control) recommends a flu vaccination to everyone aged 6+ months, with rare exception; almost anyone can benefit from the vaccine, which can reduce illnesses, missed work, hospitalizations, and death. One barrier to vaccination is a lack of "cues to action," and, in particular, the lack of direct recommendation from medical personnel; this barrier is arguably the most effectively overcome by a simple nudge of clinicians, compared with barriers such as negative attitudes toward vaccination, low perceived utility of vaccination, and less experience with having received the vaccine.
Geisinger partnered with Medial EarlySign (Medial) to develop a machine learning (ML) algorithm to help identify people at risk for serious flu-associated complications based on existing electronic health record data. Eligible at-risk patients will be randomized to an active control group (clinician will be shown a standard flu alert) or one of two experimental groups (clinician will be shown an alert indicating patient's high risk, with or without describing the patient's factors contributing to that risk).
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 80452
- Age 18+
- Have been determined to be in the top 20% of risk through Medial's ML algorithm
- Attend an appointment where the flu alert fires (Geisinger sets when flu alerts start and end--between ~9/1/2022 and ~4/30/2023, as well as the trigger conditions for the alert, which includes valid departments and visits and excludes contraindications like Guillain-Barre syndrome)
Clinician Inclusion Criteria:
- Any Geisinger clinician who sees patient-participants in our study for an appointment where their flu shot alert fires
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description High-risk Alert High-risk Text Flu alert that indicates patient is at high risk for flu and its complications High-risk Alert with Risk Factors Alert Flu alert that indicates patient is at high risk for flu and its complications and presents the factors contributing to this high risk High-risk Alert with Risk Factors High-risk Text Flu alert that indicates patient is at high risk for flu and its complications and presents the factors contributing to this high risk Standard Alert Alert Standard flu alert High-risk Alert with Risk Factors Salient alert features Flu alert that indicates patient is at high risk for flu and its complications and presents the factors contributing to this high risk High-risk Alert Alert Flu alert that indicates patient is at high risk for flu and its complications High-risk Alert Salient alert features Flu alert that indicates patient is at high risk for flu and its complications High-risk Alert with Risk Factors Risk factors Flu alert that indicates patient is at high risk for flu and its complications and presents the factors contributing to this high risk
- Primary Outcome Measures
Name Time Method Flu Vaccination At the 1 day visit Patient received a flu vaccine (yes/no)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Geisinger Clinic
🇺🇸Danville, Pennsylvania, United States