Ignite Creation Date:
2025-12-24 @ 4:28 PM
Ignite Modification Date:
2025-12-29 @ 1:41 PM
Study NCT ID:
NCT04590066
Status:
COMPLETED
Last Update Posted:
2021-02-01
First Post:
2020-10-02
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Testing Multiple Behavioral Science Strategies to Increase Flu-Shot Rates at a Large Retail Pharmacy
Sponsor:
University of Pennsylvania
Organization:
Study Overview
Official Title:
Testing Multiple Behavioral Science Strategies to Increase Flu-Shot Rates at a Large Retail Pharmacy
Status:
COMPLETED
Status Verified Date:
2021-01
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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, sent automated calls or text messages reminding patients to get a flu vaccination , or provided financial incentives for getting vaccinated. 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 22 different SMS interventions to increase flu vaccinations compared to a holdout control condition 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). Customers of a large retail pharmacy who received a flu shot from the pharmacy last year and receive SMS notifications will be included in this study. We expect this to include approximately 1.2 million 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).
This research will simultaneously test 22 different SMS interventions to increase flu vaccinations compared to a holdout control condition 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). Customers of a large retail pharmacy who received a flu shot from the pharmacy last year and receive SMS notifications will be included in this study. We expect this to include approximately 1.2 million 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).
Detailed Description:
None
Study Oversight
Has Oversight DMC:
True
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: