Information Nudge and Influenza Vaccination Willingness

Last registered on November 25, 2025

Pre-Trial

Trial Information

General Information

Title
Information Nudge and Influenza Vaccination Willingness
RCT ID
AEARCTR-0017279
Initial registration date
November 19, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 25, 2025, 7:38 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
University of International Business and Economics

Other Primary Investigator(s)

PI Affiliation
Tianjin University
PI Affiliation
Tianjin University

Additional Trial Information

Status
On going
Start date
2025-07-15
End date
2026-03-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
We conduct a randomized controlled trial to investigate the behavioral drivers of low influenza vaccination rates among food delivery workers in China. Using an online survey platform specifically designed for this study, we randomly assign participants—delivery riders—to receive one of four informational treatments embedded within the questionnaire. These treatments are designed to test the effectiveness of different messaging framings: (1) income risk from illness-induced work interruption, (2) personal health risks from influenza, (3) low likelihood of vaccine side effects, and (4) social norms highlighting peer vaccination behavior. Our study aims to identify which type of information nudge is most effective in increasing stated willingness to receive the influenza vaccine in this high-mobility, high-exposure occupational group.
External Link(s)

Registration Citation

Citation
Wang, Yizhi, Shenshen Yang and Chan Yu. 2025. "Information Nudge and Influenza Vaccination Willingness ." AEA RCT Registry. November 25. https://doi.org/10.1257/rct.17279-1.0
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Experimental Details

Interventions

Intervention(s)
We conduct a randomized controlled trial to study the behavioral drivers behind low influenza vaccination uptake among food delivery workers in China. Participants were recruited through an online survey platform tailored for this study. Within the questionnaire, each participant was randomly assigned to one of four informational treatments designed to test the impact of different message framings on vaccination willingness: We compare stated willingness to vaccinate immediately after the information exposure to assess which message is most effective in shifting intentions. Random assignment ensures that any observed differences in outcomes can be attributed to the information nudge rather than to pre-existing individual characteristics.
Intervention Start Date
2025-11-21
Intervention End Date
2025-12-31

Primary Outcomes

Primary Outcomes (end points)
vaccination willingness (coded from 1 to 10)
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study implements a randomized controlled trial (RCT) to examine how different types of informational nudges influence influenza vaccination intentions among food delivery workers in urban China—a high-exposure, high-mobility group with persistently low vaccination rates.

Target Population and Recruitment: Participants are active food delivery workers recruited via online rider platforms and local delivery worker networks across selected cities. The study is embedded within a custom-designed online survey platform optimized for smartphone use. Respondents complete a baseline module capturing demographics, work patterns, prior vaccination behavior, and health attitudes.

Intervention Structure: Immediately following the baseline module, participants are randomly assigned to one of four treatment arms, each receiving a distinct informational message embedded within the survey. The randomization is at the individual level and stratified by city to ensure geographic balance.

Information Treatments: There are four different information intervention.
1. Income Risk Frame: participants will read a message from the online platform that says "Data from the Chinese CDC showing that influenza infection leads to 3–8 days of virus shedding (average of 5 days). Based on average rider income in second- and third-tier cities, a single flu episode is estimated to cause a loss of ~1,000 RMB due to missed workdays." This helps to emphasize financial consequences of illness-related absenteeism.

2. Health Risk to Self and Family Frame: participants will read a message from the online platform that says "WHO estimates that influenza causes 3–5 million severe cases and 290,000–650,000 deaths annually. Describes higher risk to children, the elderly, pregnant women, and those with chronic conditions." This message emphasizes protective benefits of vaccination for family and vulnerable groups.

3. Side Effect Reassurance Frame: participants will see "According to Chinese CDC, flu vaccines are 40–60% effective and generally safe. Lists typical side effects (e.g., mild fever, soreness) as rare, short-lived (1–2 days), and self-limiting. Severe reactions are extremely rare.", this message reduces vaccine hesitancy driven by fear of side effects.

4. Social Norm (Peer Behavior) Frame: participants will see "In your city, over 300 community residents including delivery riders have already voluntarily received the flu vaccine this season.” This intervention higlights the role of social norms or peer effect in changing the perceived vaccination behavior among others.

Control group will receive no information intervention when they enter the platform.

The primary outcome is the respondent's stated willingness to receive a flu vaccine, measured immediately after the information exposure using a Likert scale and a binary intention question. We also collect secondary outcomes including stated timing of vaccination, willingness to pay, and perceived risks. We estimate treatment effects by comparing average outcomes across the four groups using OLS regressions, controlling for baseline covariates (e.g., age, gender, prior vaccine experience and vaccine willingness etc.) to improve precision. Heterogeneous treatment effects will be explored by income level, prior vaccine history, and household composition. Robustness checks include placebo tests using unrelated attitudinal questions and balance checks across treatment arms.
Experimental Design Details
Not available
Randomization Method
Computer
Randomization Unit
individual
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
823
Sample size: planned number of observations
Around 1600
Sample size (or number of clusters) by treatment arms
160 control, 160 in income risk group, 160 in health risk group, 160 in side effect group, 160 in social norm group,
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Tianjin University
IRB Approval Date
2025-07-15
IRB Approval Number
TJUE2025-H-S-032