N/A N=74,811 Randomized Double-blind Health Services Research

Testing Multiple Behavioral Science Strategies to Increase Flu-Shot Rates

Influenza, Human

Bottom Line

View on ClinicalTrials.gov: NCT04565353 ↗

Enrolled (actual)

74,811

Serious AEs

—

Results posted

Aug 2021

Primary outcome: Primary: Number of Participants With Flu Shot Receipt at or Before Appointment — 1113; 1210; 1150; 1163 Participants

Study Design & Population

Study type: Interventional
Phase: N/A
Interventions: Flu shot text messages (Behavioral)
Age: Adult, Older Adult · 18+ yrs
Sex: All
Sponsor: University of Pennsylvania
Primary completion: Mar 2021

Outcome Measures

Outcome	Result	p-value
PRIMARY Number of Participants With Flu Shot Receipt at or Before Appointment	1113; 1210; 1150; 1163; 1183; 1200	—
SECONDARY Number of Participants With Flu Shot Receipt Before March 31, 2021	1296; 1391; 1330; 1343; 1338; 1371	—

Summary

This research aims to identify which behavioral science strategies are most effective at increasing flu vaccination rates overall and based on patients' individual characteristics. Past behavioral science interventions have shown promise in increasing flu vaccinations. For example, successful interventions have encouraged people to make concrete plans for when they will get a flu vaccination (Milkman et al. 2011), sent automated calls or text messages reminding patients to get a flu vaccination (Cutrona et al. 2018; Regan et al. 2017), or provided financial incentives for getting vaccinated (Nowalk et al. 2010). Although these results are promising, these studies have been conducted in isolation on different populations, which makes it difficult to compare their interventions' effectiveness or to have enough power to reliably detect differing responses to interventions based on individual characteristics. This research will simultaneously test 19 different SMS interventions to increase flu vaccinations in a "mega-study" and apply machine learning to identify which interventions work best for whom. The interventions are designed by behavioral science experts from the Behavior Change for Good Initiative (BCFG), Penn Medicine Nudge Unit (PMNU), and Geisinger Behavioral Insights Team (BIT). We expect to include at least 80,000 participants. The specific aims of this research are to identify (1) which behavioral science strategies effectively increase flu vaccination rates overall, and (2) which strategies are most effective for different subgroups (e.g., based on age, gender, race).

Eligibility Criteria

Penn Medicine and Geisinger patients will be included if they:

Inclusion Criteria

Have a cell phone number recorded in a Penn Medicine or Geisinger database
Have a new or routine primary care appointment during the study recruitment period (not a sick visit)

Exclusion Criteria

Have documentation of allergy or adverse event to influenza vaccination in medical records
Have documentation of already receiving their 2020 influenza vaccination prior to randomization in medical records
Have opted out of receiving text message appointment reminders
Have asked not to be contacted for research purposes
Have an appointment with someone other than their primary care physician
Have an appointment with someone other than a physician, resident, nurse practitioner, or physician assistant

We will recruit as many patients as possible starting in September 2020. We will stop enrolling participants with appointments scheduled to occur after December 31, 2020 if we have reached 4,000 participants per condition. If we do not have 4,000 participants per condition by December 31, 2020, we will continue enrolling participants until we have reached 4,000 per condition, or until March 31, 2021 (discontinuing enrollment at whichever milestone arrives sooner - 4,000 people enrolled or 3/31/21).

View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT04565353). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.