Effects of information on vaccination intentions and decisions

Last registered on March 22, 2021

Pre-Trial

Trial Information

General Information

Title
Effects of information on vaccination intentions and decisions
RCT ID
AEARCTR-0007396
Initial registration date
March 19, 2021

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
March 22, 2021, 1:21 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
University of Milan

Other Primary Investigator(s)

PI Affiliation
Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic and CERGE-EI
PI Affiliation
Max Planck Institute for Tax Law and Public Finance
PI Affiliation
CERGE-EI and Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic

Additional Trial Information

Status
On going
Start date
2021-03-14
End date
2022-04-30
Secondary IDs
Abstract
We study how important information affects vaccination intentions and decisions of the general population. We also want to understand treatment heterogeneity by exploiting a rich history of vaccination intentions prior to the intervention. Further, we can explore heterogeneity by a range of sociodemographic characteristics and other dimensions.
External Link(s)

Registration Citation

Citation
Bartos, Vojtech et al. 2021. "Effects of information on vaccination intentions and decisions." AEA RCT Registry. March 22. https://doi.org/10.1257/rct.7396
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We provide information to a representative sample of Czechs and measure how this affects respondents' Covid-19 vaccination intentions and take-up.
Intervention Start Date
2021-03-14
Intervention End Date
2021-11-30

Primary Outcomes

Primary Outcomes (end points)
Positive vaccination intentions
Registration for Covid-19 vaccination
Getting a Covid-19 vaccine
Primary Outcomes (explanation)
- Positive vaccination intentions is a dummy for whether respondents report definitely yes OR rather yes to "If a medically validated and approved COVID-19 vaccine were available to you free of charge, would you get vaccinated?"
- Registration for Covid-19 vaccination is a dummy for whether respondents report registered with date OR registered without a date OR not registered but has a date OR got vaccinated to "Have you already registered with the Central Reservation System for coronavirus vaccination? And have you already received an appointment?"
- Getting a Covid-19 vaccine is a dummy for whether respondents report got one shot OR got two shots to "Have you already been vaccinated with coronavirus vaccine?"

Secondary Outcomes

Secondary Outcomes (end points)
- Positive vaccination intentions in subsequent waves
- Vaccination recommendation
Secondary Outcomes (explanation)
- Positive vaccination intentions in subsequent waves: coded as Positive vaccination intentions but measured in subsequent waves of the longitudinal study
- Vaccination recommendation is a dummy for whether respondents report yes to "Will you actively recommend Covid-19 vaccination to any of your relatives or acquaintances?"

Experimental Design

Experimental Design
The respondents will be randomly assigned to either the Treatment group or to the Control group. The survey will be identical for both groups, except of the part, where the respondents from the Treatment group will be provided information. After the information is provided in the Treatment group (or not in the Control group), all respondents will answer a set of questions from which outcome variables will be constructed. Randomization is done using computer at an individual level. The information manipulation and the outcome questions are located at the end of the survey.
Experimental Design Details
See PAP for details
Randomization Method
Individual level randomization done by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Approximately 2000 individuals (clustering at individual level)
Sample size: planned number of observations
Approximately 2000 individuals. Depends on final response rate.
Sample size (or number of clusters) by treatment arms
Approximately 1000 individuals in treatment and 1000 individuals in control.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
This study is sufficiently powered to detect even very small effects.
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials