Aufbau kognitiver Resilienz gegen Impfstoff-Fehlinformationen mithilfe von KI in Europa
Aufbau kognitiver Resilienz gegen Impfstoff-Fehlinformationen mittels Konversationeller KI: Evidenz aus einem multistaatlichen europäischen randomisierten Versuch
This multi-country trial evaluates an AI chatbot designed to counter cognitive biases and inoculate parents against vaccine misinformation, embedded within a large survey across five European countries (n=5,000). Scaled from a 2026 single-country study, outcomes compare behavioural and attitudinal responses against standard-of-care materials (e.g., UNICEF infographics) to identify effective, scalable misinformation interventions.
Studienübersicht
Status
Bedingungen
Intervention / Behandlung
Detaillierte Beschreibung
The aim of this multi-country trial is to identify and quantify the effectiveness of inoculation strategies against vaccine-related misinformation. Building on a single-country study implemented in early 2026 [NCT07488962], the study evaluates an AI chatbot designed to counter cognitive biases, embedded within a larger survey to enable integrated assessment of engagement, behavioural responses, and system performance at scale.
The study will be conducted across five European countries-the United Kingdom, the Netherlands, Croatia, Latvia, and Slovakia-with a total sample of 5,000 parents or caregivers (n=1,000 per country). Participants will complete a structured survey assessing childhood vaccination behaviours, vaccine confidence, trust in information sources, exposure to misinformation, and relevant psychological and sociodemographic factors.
Participants will be randomly assigned to either the intervention or control arm. The intervention arm will receive the AI-based chatbot, while the control arm will receive standard-of-care materials-such as national or international health institute communications (e.g., UNICEF infographics)-that address the same misinformation messages, enabling a direct and rigorous comparison.
The primary outcome is parents' ability to correctly distinguish true from false childhood vaccine statements. Quantitative analyses will include pooled and country-specific models to identify determinants of vaccine confidence and estimate intervention effects. Findings will clarify drivers of declining vaccine confidence and assess whether a scalable AI-based chatbot can reduce vulnerability to misinformation and support informed vaccination decisions.
Studientyp
Einschreibung (Geschätzt)
Phase
- Unzutreffend
Kontakte und Standorte
Studienkontakt
- Name: Leesa Lin, PhD
- Telefonnummer: +44 (0)20 7636 8636
- E-Mail: Leesa.Lin@lshtm.ac.uk
Studieren Sie die Kontaktsicherung
- Name: Kana Kobayashi, MSPH
- E-Mail: Kana.Kobayashi@lshtm.ac.uk
Studienorte
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London, Vereinigtes Königreich
- Rekrutierung
- London School of Hygiene and Tropical Medicine
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Kontakt:
- Leesa Lin
- Telefonnummer: +44 20 7927 2555
- E-Mail: Leesa.Lin@lshtm.ac.uk
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Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Beschreibung
Inclusion Criteria:
- Parents or caregivers with children under 18 years old in the five target countries (UK, Netherlands, Croatia, Latvia, and Slovakia); and
- Those who have regular access to a digital device and the internet
Exclusion Criteria:
- Participants who do not meet the inclusion criteria.
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Versorgungsforschung
- Zuteilung: Zufällig
- Interventionsmodell: Parallele Zuordnung
- Maskierung: Doppelt
Waffen und Interventionen
Teilnehmergruppe / Arm |
Intervention / Behandlung |
|---|---|
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Experimental: AI-driven chatbot
An interactive, web-based, AI-driven chatbot intervention designed to counter vaccine misinformation. It can be accessed via a personal computer, tablet, or mobile device through a web- browser link. |
A tailored AI-driven chatbot designed to counter vaccine misinformation. |
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Aktiver Komparator: Social media infographic
A UNICEF social media infographic with three "myth vs. fact" statements on vaccination that correspond to the same misinformation tactics explained by the MindShield chatbot. |
A UNICEF social media infographic with three "myth vs. fact" statements on vaccination. |
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Parental susceptibility to misinformation about childhood vaccination
Zeitfenster: Through study completion, an average of 20-30 minutes
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The primary outcome of this study will assess parental susceptibility to misinformation about childhood vaccination, defined as parents' ability to accurately distinguish between true and false vaccine-related information. This will be measured using ten statements on childhood vaccines, including four true and six false, rumour-related statements. Two of the rumour-related statements correspond to each of the three misinformation tactics introduced by the chatbot and the UNICEF infographic. This measure reflects parents' ability to identify misinformation containing manipulation tactics they were inoculated against and to distinguish true from false information regarding childhood vaccination. Responses will be recorded as "True", "False", or "Don't know". A composite misinformation susceptibility score will be calculated based on the number of correct responses, with higher scores indicating greater ability to identify vaccine misinformation accurately. |
Through study completion, an average of 20-30 minutes
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Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Vaccine confidence
Zeitfenster: Through study completion, an average of 20-30 minutes
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Vaccine confidence will be assessed using three statements addressing whether childhood vaccines are important, safe, and effective. Responses will range from "Strongly agree" to "Strongly disagree", with a "Don't know" option. A composite score ranging from 0 to 100 will be calculated, with higher scores indicating greater vaccine confidence. |
Through study completion, an average of 20-30 minutes
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Mitarbeiter und Ermittler
Ermittler
- Hauptermittler: Leesa Lin, PhD, London School of Hygiene and Tropical Medicine
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Tatsächlich)
Primärer Abschluss (Geschätzt)
Studienabschluss (Geschätzt)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Andere Studien-ID-Nummern
- LSHTM32877
Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
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