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Active control for Health Promotion

N/A
Waitlist Available
Led By Christopher Chabris, PhD
Research Sponsored by Geisinger Clinic
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up up to 11 months
Awards & highlights

Study Summary

This study will test the relative efficacy of high-risk messages in increasing flu shot rates in patients at moderately high risk for flu and complications (those in the top 11-20% of risk). It will also examine whether informing patients that their high-risk status was determined by analyzing their medical records or by an artificial intelligence (AI) / machine-learning (ML) algorithm analyzing their medical records will affect the likelihood of receiving a flu vaccine.

Eligible Conditions
  • Health Promotion
  • Influenza
  • Vaccinations
  • Health Behaviors
  • Risk Reduction

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~up to 11 months
This trial's timeline: 3 weeks for screening, Varies for treatment, and up to 11 months for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Influenza virus vaccine
Other outcome measures
Influenza
COVID-19 vaccination rates
ER visits
+3 more

Trial Design

5Treatment groups
Experimental Treatment
Active Control
Group I: Risk based on medical recordsExperimental Treatment1 Intervention
Patients in this treatment arm will receive messages telling them they have been identified to be at high risk for flu complications via review of their medical records.
Group II: High risk onlyExperimental Treatment1 Intervention
Patients in this treatment arm will receive messages telling them they have been identified to be at high risk for flu complications, without specifying how or why the health system believes this to be the case.
Group III: High risk based on algorithmExperimental Treatment1 Intervention
Patients in this treatment arm will receive messages telling them they have been identified to be at high risk for flu complications via analysis of their medical records by a computer algorithm.
Group IV: Active controlExperimental Treatment1 Intervention
Patients in the active control arm will receive messages reminding them to get a flu shot without being advised of their risk status.
Group V: Passive controlActive Control1 Intervention
Patients in the passive control arm will receive no additional pro-vaccination intervention beyond the health system's normal efforts. Although some patients are currently targeted for flu vaccination encouragement due to a conventional non-ML assessment that they are at high risk for complications, these patients are not told that they are at high risk or that they have been targeted.
Treatment
First Studied
Drug Approval Stage
How many patients have taken this drug
Risk Reduction
2022
N/A
~40680

Find a Location

Who is running the clinical trial?

Massachusetts Institute of TechnologyOTHER
97 Previous Clinical Trials
12,689,316 Total Patients Enrolled
2 Trials studying Health Promotion
102,642 Patients Enrolled for Health Promotion
Geisinger ClinicLead Sponsor
148 Previous Clinical Trials
1,845,422 Total Patients Enrolled
9 Trials studying Health Promotion
346,617 Patients Enrolled for Health Promotion
National Bureau of Economic Research, Inc.OTHER
31 Previous Clinical Trials
882,569 Total Patients Enrolled
2 Trials studying Health Promotion
102,642 Patients Enrolled for Health Promotion

Frequently Asked Questions

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~15744 spots leftby Apr 2025