ClinicalTrials.gg
Status unknownNCT05193903iWILLUpdated Dec 28, 2022

Evaluation of an Interactive Risk Information Tool to Increase COVID-19 Vaccination Incidence in Vaccine-hesitant People

An interventional study of Simulation and Text in COVID-19 Infection, sponsored by Charite University, Berlin, Germany. Status unknown at 1 site in Germany. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-12-28.

Sponsored by Charite University, Berlin, Germany · Not applicable, Interventional, and Basic science

The sponsor has not verified this record recently (last verified Dec 2022), so the status shown — last known as Recruiting — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
1,188
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

Coronavirus (COVID-19) vaccines have saved millions of lives since release and remain a key tool in the fight against the pandemic.

However, most countries have not reached the vaccine uptake rates needed to relieve pressure on hospitals and intensive care units (ICUs) during peak corona periods. Reduced effectiveness of vaccines in preventing infections with the Omicron variant and milder courses of the disease may trigger and support beliefs that vaccination is no longer necessary, especially among vaccine sceptics.The term 'vaccine sceptic', however, is used heterogeneously and often interchangeably to describe both 'vaccine hesitants' and 'vaccine deniers'. In contrast to vaccine deniers, characterized by a definite and unwavering decision not to get vaccinated, vaccine hesitants are characterized by a spectrum of indecisiveness, with a high need for information on both benefits and harms. They may still decide to get vaccinated if information succeeds in convincing them. In light of the potential for a change of mind in vaccine-hesitants the key question is: How does one best address their high needs for balanced risk ratio information? Evidence from cognitive and behavioral science suggests that interactive simulations of risk information, which imitate mechanisms by which humans sequentially and experientially sample risk information naturally, can be more effective in helping people develop adequate risk perceptions and initiate behavioral change than the ubiquitously used conventional text-based formats. The study therefore seeks to determine if interactive risk ratio simulation relative to a text-based format are more effective in prompting positive change in unvaccinated, vaccine-hesitant respondents' intention to get the COVID-19 and also in the respective benefit-to-harm ratio assessment during the Omicron wave in Germany.

Read the detailed description

The iWILL study is a cross sectional study that aims to evaluate the effectiveness of interactive risk ratio simulation (intervention) relative to a text-based format (control) in COVID-19 vaccine-hesitant people in Germany.

The objectives of iWILL are:

  1. to adapt the already piloted, digital, interactive, evidence-based counseling tool ExploreVac (focus on herd protection) as well as a new simulation (focus on individual protection) to the most current evidence (including age adjustment) for communicating vaccine effectiveness and side effects as evidence-based patient information using the example of COVID-19 vaccination,
  2. to implement the adapted version of ExploreVac and the new simulation in care with the aim to increase the vaccination incidence among vaccine hesitant individuals, to improve their subjective assessment of vaccination's benefits and harms, and to reduce the presumed increased counseling effort of the GP compared to standard care,
  3. to test whether the intervention is superior as compared to the control on these endpoints,
  4. to draw conclusions about the transferability of the developed method for other established vaccinations (HPV, influenza protection) and vaccinations for future infectious diseases.

Primary hypothesis:

(H1) The intervention group (interactive simulations) will show a higher positive change (T0/baseline to T1/after intervention) in vaccination intention than the control group (text-based information).

Secondary hypotheses:

(H2) The intervention group (interactive simulations) will show a higher positive change (T0/baseline to T1/after intervention) in their positive subjective benefit-to-harm assessment of the COVID-19 vaccine's benefit-to-harm ratio than does the control group.

(H3) The intervention group reports a lower need for additional counseling by their GPs than does the control group.

(H4) The intervention group (interactive simulations) will show a higher correspondence between their intended behavior (T1) and their actual reported vacccinataion behavior (T2/ follow-up after 6 months).

Recruitment of unvaccinated, vaccine hesitant German residents will be established by using probability-based internet panels maintained by respondi (Cologne, Germany). The study will be pursued with cross-sectional national sample.

Intervention condition: two interactive simulations informing 1) about absolute risks of infection, hospitalization, ICU admission, and death after exposure to COVID-19 relative to vaccination's side effects (e.g., myocarditis in men ≤35 years) in 100,000 vaccinated and 100,000 unvaccinated individuals, all adjustable to four different age groups (18- 34 years, 35-59 years, 60-79 years, ≥ 80 years due to considerable differences in each of the depicted risks (Supplement) and 2) about the benefits of vaccination for the population as a whole (herd) in terms of preventing infections and deaths.

Control condition (see also below): two text module informing 1) about absolute risks of infection, hospitalization, ICU admission, and death after exposure to COVID-19 relative to vaccination's side effects (e.g., myocarditis in men ≤35 years) in 100,000 vaccinated and 100,000 unvaccinated individuals, all adjustable to four different age groups (18- 34 years, 35-59 years, 60-79 years, ≥ 80 years due to considerable differences in each of the depicted risks (Supplement) and 2) about the benefits of vaccination for the population as a whole (herd) in terms of preventing infections and deaths.

The educative information material in both conditions is based on non-directive evidence-based patient counseling according to the guideline on evidence-based health information. After the study condition, participants are informed that any further questions about vaccination can be discussed with the GP.

The questionnaire at T0 (baseline) and T1 (directly after the intervention) takes maximum 10 minutes to complete (without exploration of intervention material). Given that participants are free to spend as much time as participants want with the educative information material, the total survey time can be longer, however.

About six months after first participation in the study, participants are re-contacted via e-mail and are asked to fill out a second questionnaire (6-months follow-up, T2), which approximately takes about 5 minutes to complete to learn more about potential the translation of the intention into vaccination behavior.

02

Conditions studied

  • COVID-19 Infection

Keywords

  • COVID-19 vaccination, vaccine-hesitancy
03

In context

COVID-19

7,774 studies on the registry are indexed under COVID-19; 482 are open to participants now.

This study's planned enrollment of 1,188 is above the median of 100 across 4,175 interventional studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

Charite University, Berlin, Germany is the lead sponsor of 854 studies on the registry; 127 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Hesitancy towards COVID-19 vaccination
  • Not yet vaccinated against COVID-19
  • Age ≥ 18 years.

Exclusion criteria

Exclusion Criteria:

  • No hesitancy towards COVID-19 vaccination
  • Already vaccinated
  • Age \< 18 years.
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
1,188 participants (estimated)

Study arms

  • Experimental
    Intervention: Simulation

    Interactive information tools

    Behavioral: Simulation

  • Other
    Control: Text

    Standard text-based information

    Behavioral: Text

Interventions

  • BehavioralSimulation

    The participants in the intervention group receive two interactive simulations in addition to a general text module that provides sequential, animated information on the spread of the virus without prevention, the effectiveness of vaccination and potential side effects of vaccination on a herd protection level and the individual level.

  • BehavioralText

    The participants in the control group receive two text-based information in addition to a general text module that provides information on the spread of the virus without prevention, the effectiveness of vaccination and potential side effects of vaccination on a herd protection level and the individual level. Both conditions ensure the provision of a level of knowledge that at least corresponds to standard care.

06

What researchers measure

Primary outcomes

  1. Change from baseline vaccination intention at T1

    Change in 5-point response scale of vaccination intention between baseline and post-intervention judgement "I will definitely get the COVID-19 vaccination"; "I will probably get the COVID-19 vaccination"; "I am unsure if I will get the COVID-19 vaccination"; "I will probably not get the COVID-19 vaccination", and "I will definitely not get the COVID-19 vaccination." NOTE: This scale is categorical, that means values are only used to distinguish between the 5 categories and DO NOT indicate better or worse outcomes.

    Time frame: Immediately after Intervention (T1)

Secondary outcomes

  1. Change from baseline assessment of vaccine-related benefiit-to-harm at T1

    Change in 5-point response scale of vaccine-related benefiit-to-harm assessment The benefits of the COVID-19 vaccination clearly outweigh the harms," "The benefits of the COVID-19 vaccination somewhat outweigh the harms," "Benefits and harms of the COVID-19 vaccination are balanced," "The harms of the COVID-19 vaccination somewhat outweigh the benefits," "The harms of the COVID-19 vaccination clearly outweigh the benefits." NOTE: This scale is categorical, that means values are only used to distinguish between the 5 categories and DO NOT indicate better or worse outcomes.

    Time frame: Immediately after Intervention (T1)

  2. Number of GP counselings at 6-months follow-up

    Measured by the number of visits of the GP to receive additional counselling on the vaccine after study intervention/control

    Time frame: 6-months follow up (T2)

  3. Actual vaccination behavior at T2

    Used to check for correspondence between vaccination intention expressed at T1 and actual behvavior at T2

    Time frame: 6-months follow up (T2)

07

Study locations

1 of 1 sites recruiting
  • Charité - Universitätsmedizin Berlin
    Berlin, Germany
    • Odette Wegwarth, Prof. Dr. · Contact · odette.wegwarth@charite.de · +49(0) 30 450 - 531 074
    • Odette Wegwarth, Prof. Dr. · Principal investigator
    Recruiting
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Feb 2022 (actual). Primary completion is estimated for Jan 2023, 11 months after the start.

Of 1,295 non-industry interventional studies with no phase under COVID-19, half reached primary completion within 10 months of starting (the median), counting those still running; a quarter within 3 and three quarters within 20. This study's planned 11 months is close to that.

Counting every sponsor, half of 1,425 studies reached it within 9 months; a quarter within 3 and three quarters within 19.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 14, 2021
First posted
Jan 18, 2022
StartActual
Feb 3, 2022
Primary completionEst.
Jan 31, 2023
CompletionEst.
Feb 28, 2023
Last update
Dec 28, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Dec 28, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05193903
Collaborators
Ludwig-Maximilians - University of Munich, Universitätsklinikum Hamburg-Eppendorf, University Medical Center Mainz, Max Planck Institute for Human Development, Federal Joint Committee
Responsible party
Odette Wegwarth (Prof. Dr., Charite University, Berlin, Germany) — Principal investigator
First posted
Jan 18, 2022
Start date
Feb 3, 2022
Primary completion
Jan 31, 2023 (estimated)
Completion
Feb 28, 2023 (estimated)
Last update
Dec 28, 2022

Study contacts

Odette Wegwarth, Prof. Dr.
Contact
odette.wegwarth@charite.de
+49(0) 30 450 531 074
Clara O Schirren, MA
Contact
clara.schirren@charite.de
+49(0) 30 450 - 531 056
Odette Wegwarth, Prof. Dr.
principal investigator · Charite University, Berlin, Germany

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Dec 2022. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion