NCT04693689

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
35,180

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Feb 2021

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 22, 2020

Completed
14 days until next milestone

First Posted

Study publicly available on registry

January 5, 2021

Completed
27 days until next milestone

Study Start

First participant enrolled

February 1, 2021

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 30, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 30, 2021

Completed
Last Updated

February 22, 2022

Status Verified

February 1, 2022

Enrollment Period

2 months

First QC Date

December 22, 2020

Last Update Submit

February 4, 2022

Conditions

Keywords

COVID-19CoronavirusVaccineTrustRNAGlobal survey

Outcome Measures

Primary Outcomes (2)

  • Willingness to receive COVID-19 vaccine

    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

    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 Outcomes (4)

  • Belief in importance of vaccinating children

    During the 15-minute survey

  • Belief in safety of vaccines

    During the 15-minute survey

  • Belief in effectiveness of vaccines

    During the 15-minute survey

  • Dishonesty index

    During the 15-minute survey

Study Arms (10)

Conventional vaccine, 0% adoption rate

EXPERIMENTAL

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%.

Other: Conventional vaccineOther: 0% adoption rate

Conventional vaccine, 20% adoption rate

EXPERIMENTAL

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%.

Other: 20% adoption rateOther: Conventional vaccine

Conventional vaccine, 40% adoption rate

EXPERIMENTAL

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%.

Other: 40% adoption rateOther: Conventional vaccine

Conventional vaccine, 60% adoption rate

EXPERIMENTAL

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%.

Other: 60% adoption rateOther: Conventional vaccine

Conventional vaccine, 80% adoption rate

EXPERIMENTAL

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%.

Other: 80% adoption rateOther: Conventional vaccine

RNA vaccine, 0% adoption rate

EXPERIMENTAL

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%.

Other: RNA vaccineOther: 0% adoption rate

RNA vaccine, 20% adoption rate

EXPERIMENTAL

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%.

Other: RNA vaccineOther: 20% adoption rate

RNA vaccine, 40% adoption rate

EXPERIMENTAL

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%.

Other: RNA vaccineOther: 40% adoption rate

RNA vaccine, 60% adoption rate

EXPERIMENTAL

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%.

Other: RNA vaccineOther: 60% adoption rate

RNA vaccine, 80% adoption rate

EXPERIMENTAL

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%.

Other: RNA vaccineOther: 80% adoption rate

Interventions

We elicit subjects' willingness to receive RNA COVID-19 vaccine

RNA vaccine, 0% adoption rateRNA vaccine, 20% adoption rateRNA vaccine, 40% adoption rateRNA vaccine, 60% adoption rateRNA vaccine, 80% adoption rate

We elicit subjects' willingness to receive the new vaccine if 20% of the country's population has received it

Conventional vaccine, 20% adoption rateRNA vaccine, 20% adoption rate

We elicit subjects' willingness to receive the new vaccine if 40% of the country's population has received it

Conventional vaccine, 40% adoption rateRNA vaccine, 40% adoption rate

We elicit subjects' willingness to receive the new vaccine if 60% of the country's population has received it

Conventional vaccine, 60% adoption rateRNA vaccine, 60% adoption rate

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

Conventional vaccine, 80% adoption rateRNA vaccine, 80% adoption rate

We elicit subjects' willingness to receive conventional COVID-19 vaccine

Conventional vaccine, 0% adoption rateConventional vaccine, 20% adoption rateConventional vaccine, 40% adoption rateConventional vaccine, 60% adoption rateConventional vaccine, 80% adoption rate

We elicit subjects' willingness to receive the new vaccine if 0% of the country's population has received it

Conventional vaccine, 0% adoption rateRNA vaccine, 0% adoption rate

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Healthy adults over 18 years old

You may not qualify if:

  • None

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

SurveyMonkey

San Mateo, California, 94403, United States

Location

Related Publications (6)

  • Anderson RM, May RM. Vaccination and herd immunity to infectious diseases. Nature. 1985 Nov 28-Dec 4;318(6044):323-9. doi: 10.1038/318323a0.

    PMID: 3906406BACKGROUND
  • Fine P, Eames K, Heymann DL. "Herd immunity": a rough guide. Clin Infect Dis. 2011 Apr 1;52(7):911-6. doi: 10.1093/cid/cir007.

    PMID: 21427399BACKGROUND
  • Fontanet A, Cauchemez S. COVID-19 herd immunity: where are we? Nat Rev Immunol. 2020 Oct;20(10):583-584. doi: 10.1038/s41577-020-00451-5.

    PMID: 32908300BACKGROUND
  • Larson HJ, Jarrett C, Eckersberger E, Smith DM, Paterson P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007-2012. Vaccine. 2014 Apr 17;32(19):2150-9. doi: 10.1016/j.vaccine.2014.01.081. Epub 2014 Mar 2.

    PMID: 24598724BACKGROUND
  • Lazarus JV, Ratzan SC, Palayew A, Gostin LO, Larson HJ, Rabin K, Kimball S, El-Mohandes A. A global survey of potential acceptance of a COVID-19 vaccine. Nat Med. 2021 Feb;27(2):225-228. doi: 10.1038/s41591-020-1124-9. Epub 2020 Oct 20.

    PMID: 33082575BACKGROUND
  • Olive JK, Hotez PJ, Damania A, Nolan MS. The state of the antivaccine movement in the United States: A focused examination of nonmedical exemptions in states and counties. PLoS Med. 2018 Jun 12;15(6):e1002578. doi: 10.1371/journal.pmed.1002578. eCollection 2018 Jun.

    PMID: 29894470BACKGROUND

MeSH Terms

Conditions

COVID-19Coronavirus Infections

Interventions

mRNA Vaccines

Condition Hierarchy (Ancestors)

Pneumonia, ViralPneumoniaRespiratory Tract InfectionsInfectionsVirus DiseasesCoronaviridae InfectionsNidovirales InfectionsRNA Virus InfectionsLung DiseasesRespiratory Tract Diseases

Intervention Hierarchy (Ancestors)

Nucleic Acid-Based VaccinesVaccines, SyntheticRecombinant ProteinsProteinsAmino Acids, Peptides, and ProteinsVaccines, AcellularVaccines, SubunitVaccinesBiological ProductsComplex MixturesAntigensBiological Factors

Study Officials

  • Teck Ho

    National University of Singapore

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Director

Study Record Dates

First Submitted

December 22, 2020

First Posted

January 5, 2021

Study Start

February 1, 2021

Primary Completion

March 30, 2021

Study Completion

March 30, 2021

Last Updated

February 22, 2022

Record last verified: 2022-02

Data Sharing

IPD Sharing
Will share

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.

Shared Documents
STUDY PROTOCOL, ICF, ANALYTIC CODE
Time Frame
After completion of all analyses. It will be made available in the supporting documentation.
Access Criteria
It will be made available in the supporting documentation.

Locations