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You’ve got mail: increasing vaccination rates

Last registered on July 20, 2023

Pre-Trial

Trial Information

General Information

Title
You’ve got mail: increasing vaccination rates
RCT ID
AEARCTR-0008070
Initial registration date
August 13, 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
August 17, 2021, 10:25 AM EDT

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

Last updated
July 20, 2023, 7:43 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
University of Bern

Other Primary Investigator(s)

PI Affiliation
PI Affiliation

Additional Trial Information

Status
Completed
Start date
2021-06-21
End date
2022-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In light of the COVID-19 pandemic, vaccination campaigns try to further increase vaccination rates. In written reminders, we include behavioral interventions and test their influence on vaccination rates. The study comprises three distinct projects. Project 1 examines the effect of written reminders on vaccination decisions by comparing vaccination rates in our sample to an untreated comparison group. Project 2 tests the effect of social norm information included in the written reminder on the vaccination decision. Project 3 looks at the influence of a mobile vaccination team, offering on site vaccination where no appointment is needed.
External Link(s)

Registration Citation

Citation
Kulle, Anna-Corinna, Stefanie Schumacher and Frauke von Bieberstein. 2023. "You’ve got mail: increasing vaccination rates." AEA RCT Registry. July 20. https://doi.org/10.1257/rct.8070-1.2
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
We conduct a field experiment, sending out written reminders to get vaccinated against COVID-19 to the inhabitants of several Swiss municipalities.

In the sample of treated municipalities, every inhabitant 16 years old or older receives a letter. The information in the letter differs according to the treatment (control treatment, social norm 1, social norm 2). The letter in the control treatment emphasizes the importance of being vaccinated and informs about the possibility to register and sign up for a COVID-19 vaccination. The letters in both social norm conditions include the same information as the control letter and additionally inform about the status of vaccinated people so far (in total and by age group). In one of the social norm treatments, the letter displays the information in absolute numbers, and in the other social norm treatment, the same information is displayed in percentages.

For project 1, a pre-defined sample of similar, untreated municipalities serves as a comparison group to estimate the impact of the written reminder on vaccination decisions.

Project 2 analyzes the effect of the social norm information and compares the vaccination rates between the three letter treatments.

For project 3, we randomly split the treated communities in two samples. One sample receives the letters as described above (letter only). In the other sample, a mobile vaccination team is present in the each municipality (mobile + letter). Thus, on a designated day, inhabitants can get vaccinated on site without needing to register beforehand or fixing an appointment. In the municipalities where a mobile vaccination team is on site, all inhabitants are informed about the mobile team in the three letters (control, social norm 1, social norm 2).


Vaccination rates are analyzed, controlling for age, gender, households, and location in the vaccinated sample. Vaccination rates are analyzed in the full sample and in both samples separately (letter only, mobile + letter). Furthermore, the analyses will be done separately with all households and excluding households with more than four inhabitants and for households with and without children to have a more comparable basis of households. Data will be analyzed for the whole timespan and for the first 1-2 weeks separately.
Intervention Start Date
2021-08-16
Intervention End Date
2021-09-30

Primary Outcomes

Primary Outcomes (end points)
Vaccination rates
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We conduct a field experiment, sending out written reminders to get vaccinated against COVID-19 to the inhabitants of several municipalities.

Firstly, the effect of the reminder is analyzed by comparing vaccination rates to a baseline comparison group without reminder. Secondly, the impact of social norm information in the letters is compared between the treatments. Thirdly, in half of the treated municipalities, a mobile vaccination team will be on site and the influence of this offer on vaccination rates is examined.
Experimental Design Details
Randomization Method
Randomization on the household level. The treatments will be randomly assigned using a spreadsheet. In three municipalities, the information on household compositions was not available. In those cases, treatments were randomly assigned on the address-level (streetname + housenumber + postal code).

The information on the baseline vaccination rates was not known at the time of the randomization.
Randomization Unit
Household level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
Across the two experimental and the one control condition in the treated sample, approximately 23’500 households / unique addresses (when household information was not available), equally distributed between all three conditions. For the final sample size, vaccination rates are to be checked.
Sample size: planned number of observations
In total approximately 46’000 inhabitants receive a letter. Out of this, we expect roughly 40% to be non-vaccinated at the time of our study. This leads us to a final sample of an estimated 18’000 participants.
Sample size (or number of clusters) by treatment arms
We expect approximately 6'000 participants per treatment (in all three treatment conditions). Additionally, we expect approximately the same sample size in our basic (untreated) comparison group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Committee University of Bern, Faculty of Business, Economics and Social Sciences
IRB Approval Date
2021-07-14
IRB Approval Number
172021

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
September 06, 2021, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
September 06, 2021, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
20 clusters (communities)
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
20,414 unvaccinated adults
Final Sample Size (or Number of Clusters) by Treatment Arms
10 communities per treatment arm
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
No
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials