欧州でAIを用いたワクチン誤情報に対する認知的レジリエンスの構築
会話型AIを用いたワクチン誤情報に対する認知レジリエンス構築：多国間欧州ランダム化試験からのエビデンス
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.
調査の概要
詳細な説明
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.
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：Leesa Lin, PhD
- 電話番号：+44 (0)20 7636 8636
- メール：Leesa.Lin@lshtm.ac.uk
研究連絡先のバックアップ
- 名前：Kana Kobayashi, MSPH
- メール：Kana.Kobayashi@lshtm.ac.uk
研究場所
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London、イギリス
- 募集
- London School of Hygiene and Tropical Medicine
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コンタクト：
- Leesa Lin
- 電話番号：+44 20 7927 2555
- メール：Leesa.Lin@lshtm.ac.uk
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-
参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
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.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：ヘルスサービス研究
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：ダブル
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
実験的：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. |
|
アクティブコンパレータ：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. |
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Parental susceptibility to misinformation about childhood vaccination
時間枠：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
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Vaccine confidence
時間枠：Through study completion, an average of 20-30 minutes
|
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
|
協力者と研究者
捜査官
- 主任研究者：Leesa Lin, PhD、London School of Hygiene and Tropical Medicine
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。