Novelty, Conformity and Trust in COVID-19 Vaccines

February 4, 2022 updated by: Ho Teck Hua, National University of Singapore

Novelty, Conformity and Trust in Vaccines

Despite their established benefits as public measures, vaccines continue to be treated with suspicion by many people, in the US and other parts of the world (Larson et al. 2014; Olive et al. 2018; Lazarus et al. 2020). Since the success of vaccines depends on their high uptake level (Anderson and May, 1985; Fine et al. 2011; Fontanet and Cauchemez, 2020), identifying factors that influence low trust and decision-making in relation to vaccines is essential in order to combat diseases such as the novel Coronavirus (COVID-19).

The investigators study factors that could potentially influence public's trust in COVID-19 vaccines through a large-scale online field experiment. The investigators conduct an online survey of 32,400 subjects in nine countries (USA, Brazil, Mexico, China, India, Indonesia, Russia, Germany, and UK).

The investigators study how willingness to receive the COVID-19 vaccine is affected by (1) the "novelty" of the vaccine technology (conventional vs. RNA vaccines), and (2) the adoption rate of the new vaccine in the country. That is - the impact of controversial science and the force of conformity on the rates of adoption. The latter will also allow us to calculate the "tipping point" adoption rate for each country that will allow the country to achieve herd immunity from COVID-19.

The investigators have four hypotheses, below.

H1 (Conformity): People are more willing to receive a vaccine as the cumulative adoption rate in their community increases.

H2 (Novelty): People are less willing to get a COVID-19 vaccine that uses the new RNA technology, compared to a conventional vaccine

H3 (Interaction between H1 and H2): As the cumulative adoption rate in a community increases, the difference between people's willingness to adopt conventional rather than RNA vaccines decreases.

H4 (Tipping Point): Each country will have a different "tipping point". This is the cumulative adoption rate after which unvaccinated people are significantly more willing to get the vaccine. Countries that have a higher "honesty index" will have the tipping point appear at a lower cumulative adoption rate.

Please note that this study is not a clinical trial. This study is a randomized controlled trial in the form of an online survey.

Study Overview

Detailed Description

The investigators study the role of trust in COVID-19 vaccine through a global survey. Specifically, the investigators vary (1) the degree of vaccine innovation and (2) the adoption rate of the vaccine to test if these factors influence the individuals' willingness to receive the vaccine.

An online survey is conducted across 9 countries with 3,600 subjects per country. About 15 questions will be asked for each subject and the survey is expected to take about 10-15 minutes to complete.

The 9 countries are USA, Brazil, Mexico, China, India, Indonesia, Russia, Germany and the UK. The three most populous countries from three major continents (Americas, Asia and Europe) are chosen. The target subjects are healthy adults over 18 years of age.

The survey instrument will consist of two parts. In the first part, the survey will ask 10 questions regarding their demographics and the general perception on the safety, effectiveness, and importance of vaccines. This part of the survey allows us to explore the relationship between the individual factors (such as age, gender or income status) and trust in COVID-19 vaccine, as well as to normalize the attitude towards COVID-19 vaccines over the overall vaccine-related confidence.

The 3 key questions of interest are:

"Suppose that a conventional vaccine for COVID-19 receives approval for human use and is available for the public.

A3. How much do you think the government should subsidize the conventional COVID-19 vaccine? [10%, 25%, 50%, 75%, 100%]

A4. If the conventional COVID-19 vaccine were provided to you for free, how likely are you to accept the vaccination? [Very likely, somewhat likely, neither likely nor unlikely, somewhat unlikely, very unlikely]

A5. Suppose the conventional COVID-19 vaccine is endorsed by your Government, free, but no one in your country has received the vaccine. How likely would you be willing to be vaccinated with this new vaccine? [Very likely, somewhat likely, neither likely nor unlikely, somewhat unlikely, very unlikely]"

The investigators manipulate two dimensions of information between the subjects. The two dimensions are:

  • 2 vaccine types: 50% of subjects will be asked for "conventional vaccine"; 50% of subjects will be asked for "RNA vaccine"
  • 5 different levels of adoption rate in the country: 0% (i.e., no one in your country has received the vaccine), 20%, 40%, 60%, and 80%

Within each country, there will be 2 (vaccine type) x 5 (different adoption rates) = 10 between-subject treatments.

In the second part of the survey, the investigators ask participants to complete a simple economic dice-rolling task, and predict outcomes of the same task in their own country. The investigators will study how individual performance in these tasks correlate with their trust in COVID-19 vaccines.

Study Type

Interventional

Enrollment (Actual)

35180

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • San Mateo, California, United States, 94403
        • SurveyMonkey

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Healthy adults over 18 years old

Exclusion Criteria:

  • None

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Conventional vaccine, 0% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive a conventional vaccine if its current adoption rate in the country is 0%.

We elicit subjects' willingness to receive conventional COVID-19 vaccine
We elicit subjects' willingness to receive the new vaccine if 0% of the country's population has received it
Experimental: Conventional vaccine, 20% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive a conventional vaccine if its current adoption rate in the country is 20%.

We elicit subjects' willingness to receive conventional COVID-19 vaccine
We elicit subjects' willingness to receive the new vaccine if 20% of the country's population has received it
Experimental: Conventional vaccine, 40% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive a conventional vaccine if its current adoption rate in the country is 40%.

We elicit subjects' willingness to receive conventional COVID-19 vaccine
We elicit subjects' willingness to receive the new vaccine if 40% of the country's population has received it
Experimental: Conventional vaccine, 60% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive a conventional vaccine if its current adoption rate in the country is 60%.

We elicit subjects' willingness to receive conventional COVID-19 vaccine
We elicit subjects' willingness to receive the new vaccine if 60% of the country's population has received it
Experimental: Conventional vaccine, 80% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive a conventional vaccine if its current adoption rate in the country is 80%.

We elicit subjects' willingness to receive conventional COVID-19 vaccine
We elicit subjects' willingness to receive the new vaccine if 80% of the country's population has received it
Experimental: RNA vaccine, 0% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive an RNA vaccine if its current adoption rate in the country is 0%.

We elicit subjects' willingness to receive the new vaccine if 0% of the country's population has received it
We elicit subjects' willingness to receive RNA COVID-19 vaccine
Experimental: RNA vaccine, 20% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive an RNA vaccine if its current adoption rate in the country is 20%.

We elicit subjects' willingness to receive the new vaccine if 20% of the country's population has received it
We elicit subjects' willingness to receive RNA COVID-19 vaccine
Experimental: RNA vaccine, 40% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive an RNA vaccine if its current adoption rate in the country is 40%.

We elicit subjects' willingness to receive the new vaccine if 40% of the country's population has received it
We elicit subjects' willingness to receive RNA COVID-19 vaccine
Experimental: RNA vaccine, 60% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive an RNA vaccine if its current adoption rate in the country is 60%.

We elicit subjects' willingness to receive the new vaccine if 60% of the country's population has received it
We elicit subjects' willingness to receive RNA COVID-19 vaccine
Experimental: RNA vaccine, 80% adoption rate

Our survey follows a 2 x 5 between-subjects design. The two dimensions we vary are vaccine technology (conventional vs. RNA) and the hypothetical adoption rate of the new vaccine in the country (0%, 20%, 40%, 60%, 80%). We elicit subjects' willingness to receive the new COVID-19 vaccine given the vaccine technology and a hypothetical adoption rate of the new vaccine.

In this arm, we elicit subjects' willingness to receive an RNA vaccine if its current adoption rate in the country is 80%.

We elicit subjects' willingness to receive the new vaccine if 80% of the country's population has received it
We elicit subjects' willingness to receive RNA COVID-19 vaccine

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Willingness to receive COVID-19 vaccine
Time Frame: During the 15-minute survey
Subjects' response to the question: "If the conventional COVID-19 vaccine were provided to you for free, how likely are you to accept the vaccination?" on a Likert scale from 1 (very unlikely) to 5 (very likely).
During the 15-minute survey
Belief in how much COVID-19 vaccine should be subsidized by the government
Time Frame: During the 15-minute survey
Subjects' response to the question: "How much do you think the government should subsidize the conventional COVID-19 vaccine?" There are 5 answer options: 0%, 25%, 50%, 75%, 100%.
During the 15-minute survey

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Belief in importance of vaccinating children
Time Frame: During the 15-minute survey
Subjects' response to the question: "To what extent do you agree or disagree with the following statement: It is important for children to be vaccinated" on a Likert scale from 1 (strongly disagree) to 5 (strongly agree)
During the 15-minute survey
Belief in safety of vaccines
Time Frame: During the 15-minute survey
Subjects' response to the question: "To what extent do you agree or disagree with the following statement: Vaccines are safe" on a Likert scale from 1 (strongly disagree) to 5 (strongly agree)
During the 15-minute survey
Belief in effectiveness of vaccines
Time Frame: During the 15-minute survey
Subjects' response to the question: "To what extent do you agree or disagree with the following statement: Vaccines are effective" on a Likert scale from 1 (strongly disagree) to 5 (strongly agree)
During the 15-minute survey
Dishonesty index
Time Frame: During the 15-minute survey
We ask each subject to report the outcome of a dice roll (which investigators do not observe), where the subject receives a higher pay for reporting a higher roll. We use the average reported dice roll in a group as a measure of the group's dishonesty. A higher number indicates higher degree of dishonesty. If everyone was honest, the average number should be 3.5.
During the 15-minute survey

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Teck Ho, National University of Singapore

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2021

Primary Completion (Actual)

March 30, 2021

Study Completion (Actual)

March 30, 2021

Study Registration Dates

First Submitted

December 22, 2020

First Submitted That Met QC Criteria

December 30, 2020

First Posted (Actual)

January 5, 2021

Study Record Updates

Last Update Posted (Actual)

February 22, 2022

Last Update Submitted That Met QC Criteria

February 4, 2022

Last Verified

February 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • SG-Trust in Vaccines

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Investigators will not be storing or sharing any personal identifiers. All individual level data will be anonymized, and only anonymized data will be shared with other researchers, upon request.

IPD Sharing Time Frame

After completion of all analyses. It will be made available in the supporting documentation.

IPD Sharing Access Criteria

It will be made available in the supporting documentation.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • ICF
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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