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Brief Informational Intervention for COVID-19 Misinformation Prophylaxis

2021年2月8日 更新者:Jon Agley、Indiana University

As the coronavirus disease 2019 (COVID-19) pandemic has continued to affect life in the United States, the important role of non-pharmaceutical preventive behaviors (such as wearing a face mask) in reducing harm has become clear. In parallel to the pandemic, researchers have observed an "infodemic" of misinformed or inconsistent narratives about COVID-19. There is growing evidence that misinformed COVID-19 narratives are associated with a wide variety of undesirable behavior (e.g., burning down cell towers). Further, individuals' adherence to recommended COVID-19 preventive guidelines has been inconsistent, and such mandates have engendered opposition and controversy. Recent research suggests the possibility that trust in science and scientists may be an important thread to weave throughout these seemingly disparate components of the modern public health landscape. Thus, this paper describes the protocol for a randomized trial of a brief, digital intervention to increase trust in science.

The objective of this trial is to examine if exposure to a curated infographic can increase trust in science, reduce believability of misinformed narratives, and increase likelihood to engage in preventive behaviors.

調査の概要

詳細な説明

The investigators propose a single-stage, randomized, superiority trial with 2 parallel groups allocated with a 1:1 ratio. The comparator in this study will be a control ("placebo") infographic that is completely unrelated to science (e.g., about cats), but that is developed using the same communication and graphical style.

Subjects will be recruited using the Prolific data collection platform, which is one of two primary online crowdsourced research platforms (the other is Amazon's Mechanical Turk, or mTurk).

To be included, participants must be identified by Prolific as part of a nationally-representative sample. Participants will also be required to be age 18 or older, and to reside in the United States. Individuals who decline to digitally sign the informed consent document will be excluded and replaced. Per recent best practice recommendations for crowdsourced digital research, attention checks and screens for "bots" and international users with virtual private networks to mimic US IP addresses will be embedded within the instruments, and failure of more than one attention check, or any bot/location check will result in subject exclusion and replacement. Replacements will be drawn in such a way as to preserve the representativeness of the sample.

Missing data will be addressed using either full information maximum likelihood or Markov Chain Monte Carlo multiple imputation strategies. When there is a violation of missing at random (which is unlikely) in preliminary analyses, the investigators will incorporate strategies representing the missingness. The researchers will further explore data quality in terms of outliers, measurement error, non-normality, and variance heterogeneity. Robust methods of analysis (e.g., Huber-White robust standard errors) will be used, as appropriate. For all multi-item measures, reliability will be evaluated prior to computation of the variable.

研究の種類

介入

入学 (実際)

1017

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Indiana
      • Bloomington、Indiana、アメリカ、47404
        • Digital Intervention (Prolific Study Panel)

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年歳以上 (大人、高齢者)

健康ボランティアの受け入れ

はい

受講資格のある性別

全て

説明

Inclusion Criteria:

  • To be included, participants must be identified by Prolific as part of a nationally-representative sample. Participants will also be required to be age 18 or older, and to reside in the United States.

Exclusion Criteria:

  • Individuals who decline to digitally sign the informed consent document will be excluded and replaced. Per recent best practice recommendations for crowdsourced digital research, attention checks and screens for "bots" and international users with virtual private networks to mimic US internet protocol addresses will be embedded within the instruments, and failure of more than one attention check, or any bot/location check will result in subject exclusion and replacement.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

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:防止
  • 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:Brief Intervention arm
The primary intervention in this study will be an infographic that is designed to build trust in the scientific process (as described in the Intervention section). This arm will introduce the intervention and then instruct the participant to review it carefully (including a mandated pause on the infographic screen) before continuing to the remaining data collection.
The primary intervention in this study will be an infographic that is designed to build trust in the scientific process. Infographics are preferable to narratives or text because they center visuals as part of the storytelling process and facilitate cognitive information processing, knowledge absorption, and enhanced persuasion. The study's infographic design will follow best practices in health communication. The message will be simple and jargon free. Visuals will include individuals (scientists), charts, text, and numbers. Attention will be paid to images, color, frames, representation, and composition (e.g., how the elements in the infographic are organized to show their relationship to each other).
プラセボコンパレーター:Placebo Control arm
The comparator in this study will be a control ("placebo") infographic that is completely unrelated to science (As described in the Placebo Control section). This arm will introduce the control infographic and then instruct the participant to review it carefully (including a mandated pause on the infographic screen) before continuing to the remaining data collection.
The comparator in this study will be a control ("placebo") infographic that is completely unrelated to science (e.g., about cats), but that is developed using the same communication and graphical style.

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
Change in trust in science
時間枠:Pre-intervention and immediately post-intervention
21-item scale developed by Nadelson et al [1] called the Trust in Science Inventory. It is scored from 1 to 5, where 1 indicates low trust and 5 indicates high trust.
Pre-intervention and immediately post-intervention
Believability profiles
時間枠:Immediately post-intervention
Will be computed using latent profile analysis of believability measures. These measures were developed and first used in our recent study of COVID-19 narratives [2]. Response options for these measures used well-established semantic differential responses for believability of different statements (e.g., as in Herzberg et al.) [3] ranging from [1: Extremely unbelievable] to [7: Extremely believable]. Exact measures used to generate profiles for this study will be available in the published protocol paper (to be submitted).
Immediately post-intervention
Preventive behavioral intentions
時間枠:Immediately post-intervention
A series of six questions based on the US Centers for Disease Control and Prevention's recommended COVID-19 preventive behaviors. [4] Questions will be written according to Azjen's guide to intention questionnaires [5].
Immediately post-intervention

その他の成果指標

結果測定
メジャーの説明
時間枠
Political orientation (covariate 1)
時間枠:Immediately post-intervention
Scale variable (0: Conservative to 10: Liberal) as in our prior work [2, 6]
Immediately post-intervention
Religious commitment (covariate 2)
時間枠:Immediately post-intervention
Scale variable (0: Low commitment to 10: High commitment) as in our prior work [2, 6]
Immediately post-intervention
Sociodemographics (covariates 3 through 6)
時間枠:Immediately post-intervention
Race/ethnicity, gender, age, and education level using standardized questions
Immediately post-intervention
COVID-19 diagnosis (covariates 7 and 8)
時間枠:Immediately post-intervention
Two self report questions. The first asks whether the respondent has been diagnosed with COVID-19, and the second asks more broadly whether the respondent believes they have had COVID-19. Question wording will be per Bruine de Bruin (2020) [7].
Immediately post-intervention
Perceived severity of COVID-19 (covariate 9)
時間枠:Immediately post-intervention
Based on the Health Belief Model as used in Yıldırıma & Gülerc [8].
Immediately post-intervention
Self-efficacy to act regarding COVID-19
時間枠:Immediately post-intervention
Based on the Health Belief Model as used in Yıldırıma & Gülerc [8].
Immediately post-intervention
Normative beliefs about friends' and family's COVID-19 behaviors
時間枠:Immediately post-intervention
Single item from Chambon et al [9].
Immediately post-intervention

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

一般刊行物

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2020年1月14日

一次修了 (実際)

2021年1月14日

研究の完了 (実際)

2021年1月31日

試験登録日

最初に提出

2020年9月16日

QC基準を満たした最初の提出物

2020年9月17日

最初の投稿 (実際)

2020年9月21日

学習記録の更新

投稿された最後の更新 (実際)

2021年2月9日

QC基準を満たした最後の更新が送信されました

2021年2月8日

最終確認日

2021年2月1日

詳しくは

本研究に関する用語

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

はい

IPD プランの説明

Fully de-identified data (full dataset) will be made available along with the publication of the primary results paper from this study.

IPD 共有時間枠

Fully de-identified data will be made available along with the publication of the primary results paper from this study.

IPD 共有サポート情報タイプ

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

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。

COVID19 Behavioral Prophylaxisの臨床試験

Brief informational infographicの臨床試験

3
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