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<?covid-19-tdm?>
<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="letter" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR</journal-id>
      <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
      <journal-title>Journal of Medical Internet Research</journal-title>
      <issn pub-type="epub">1438-8871</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v26i1e41559</article-id>
      <article-id pub-id-type="pmid">38557597</article-id>
      <article-id pub-id-type="doi">10.2196/41559</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Letter</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Letter</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Response of Unvaccinated US Adults to Official Information About the Pause in Use of the Johnson &#38; Johnson–Janssen COVID-19 Vaccine: Cross-Sectional Survey Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Graham</surname>
            <given-names>Matthew</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ginossar</surname>
            <given-names>Tamar</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Scherer</surname>
            <given-names>Aaron</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Mishra</surname>
            <given-names>Vishala</given-names>
          </name>
          <degrees>MBBS, MMCi</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4149-7119</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Dexter</surname>
            <given-names>Joseph P</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <address>
            <institution>Data Science Initiative</institution>
            <institution>Harvard University</institution>
            <addr-line>Science and Engineering Complex 1.312-10</addr-line>
            <addr-line>150 Western Avenue</addr-line>
            <addr-line>Allston, MA, 02134</addr-line>
            <country>United States</country>
            <phone>1 8023381330</phone>
            <email>jdexter@fas.harvard.edu</email>
          </address>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8524-5792</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Biostatistics and Bioinformatics</institution>
        <institution>Duke University School of Medicine</institution>
        <addr-line>Durham, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Data Science Initiative</institution>
        <institution>Harvard University</institution>
        <addr-line>Allston, MA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Department of Human Evolutionary Biology</institution>
        <institution>Harvard University</institution>
        <addr-line>Cambridge, MA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Institute of Collaborative Innovation</institution>
        <institution>University of Macau</institution>
        <addr-line>Taipa</addr-line>
        <country>Macao</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Joseph P Dexter <email>jdexter@fas.harvard.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>1</day>
        <month>4</month>
        <year>2024</year>
      </pub-date>
      <volume>26</volume>
      <elocation-id>e41559</elocation-id>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>8</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>25</day>
          <month>1</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>26</day>
          <month>5</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>29</day>
          <month>12</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Vishala Mishra, Joseph P Dexter. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.04.2024.</copyright-statement>
      <copyright-year>2024</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.jmir.org/2024/1/e41559" xlink:type="simple"/>
      <abstract>
        <p>Using a rapid response web-based survey, we identified gaps in public understanding of the Centers for Disease Control and Prevention’s messaging about the pause in use of the Johnson &#38; Johnson–Janssen COVID-19 vaccine and estimated changes in vaccine hesitancy using counterfactual questions.</p>
      </abstract>
      <kwd-group>
        <kwd>Centers for Disease Control and Prevention</kwd>
        <kwd>CDC</kwd>
        <kwd>COVID-19</kwd>
        <kwd>health communication</kwd>
        <kwd>health information</kwd>
        <kwd>health literacy</kwd>
        <kwd>public health</kwd>
        <kwd>risk perception</kwd>
        <kwd>SARS-CoV-2</kwd>
        <kwd>vaccine hesitancy</kwd>
        <kwd>web-based surveys</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>On April 13, 2021, the Centers for Disease Control and Prevention (CDC) and Food and Drug Administration recommended a pause in use of the Johnson &#38; Johnson (J&#38;J)–Janssen COVID-19 vaccine due to 6 reports of cerebral venous sinus thrombosis in recently vaccinated individuals [<xref ref-type="bibr" rid="ref1">1</xref>]. The announcement of the pause required development of a coordinated communication strategy under extreme time pressure and careful messaging by stakeholders to mitigate reduced public confidence in COVID-19 vaccines [<xref ref-type="bibr" rid="ref2">2</xref>]. Moreover, official communication efforts had to consider the potential influence of already widespread misinformation about the vaccines on attitudes toward the pause [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. In this survey study, we evaluated understanding and impressions of the CDC’s public web-based information about the J&#38;J-Janssen pause among unvaccinated US adults.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Web-Based Survey About J&#38;J-Janssen Pause</title>
        <p>We administered the web-based survey to two cohorts of US adults recruited through Prolific between April 19-21, 2021 (cohort A), and April 21-23, 2021 (cohort B). Both cohorts were assembled using convenience sampling of unvaccinated adults. To obtain information about a population that especially needed targeted vaccine communication, the first cohort was restricted to individuals expressing neutral or negative sentiments about COVID-19 vaccines. The survey design and recruitment strategy are described in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>; the survey questions are provided in <xref ref-type="supplementary-material" rid="app2">Multimedia Appendices 2</xref> and <xref ref-type="supplementary-material" rid="app3">3</xref>.</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>The study was approved by Harvard University’s Committee on the Use of Human Subjects (IRB20-2089), and participants agreed to a consent statement on the first page of the survey. Participants were paid US $2 for taking the survey. All study data were collected anonymously.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>A total of 271 and 286 participants were included in cohorts A and B, respectively (demographic characteristics listed in <xref ref-type="table" rid="table1">Table 1</xref>). Across participants, the median number of correct responses to the comprehension questions was 6 in both cohort A (IQR 1.5; range 0-7) and cohort B (IQR 1.0; range 1-7). The total number of correct responses was negatively associated with intention not to seek vaccination in both cohort A (odds ratio 0.61, 95% CI 0.45-0.82; <italic>P</italic>=.001) and cohort B (odds ratio 0.48, 95% CI 0.31-0.74; <italic>P</italic>=.001; <xref ref-type="supplementary-material" rid="app4">Multimedia Appendix 4</xref>). Although a majority of participants rated the passages as “clear and easy to read” (cohort A: n=229, 84.5%; cohort B: n=243, 85%), fewer indicated that they would be likely to share them on social media (cohort A: n=53, 19.6%; cohort B: n=75, 26.3%).</p>
      <p>The web page mentioned “a small number of reports” of cerebral venous sinus thrombosis in individuals who received the J&#38;J-Janssen vaccine. When asked to guess a specific number, 188 (69.4%) and 133 (46.5%) respondents in cohorts A and B, respectively, estimated 100 or more cases, at least an order of magnitude higher than the actual value; 176 (64.9%) and 128 (44.8%) respondents in cohorts A and B, respectively, estimated 10 or more deaths after vaccination (<xref rid="figure1" ref-type="fig">Figure 1</xref>).</p>
      <p>Responding to a counterfactual question, 127 (46.9%) and 139 (48.6%) participants in cohorts A and B, respectively, indicated that the pause reduced their confidence in the J&#38;J-Janssen vaccine’s safety (<xref rid="figure1" ref-type="fig">Figure 1</xref>). Most participants reported no change in their confidence in COVID-19 vaccines’ safety in general (cohort A: n=182, 67.2%; cohort B: n=194, 67.8%) or intention to receive the Pfizer-BioNTech or Moderna vaccine (cohort A: n=206, 76%; cohort B: n=211, 73.8%).</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Characteristics and responses of participants who completed the web-based surveys about the Johnson &#38; Johnson (J&#38;J)–Janssen vaccine pause.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="470"/>
          <col width="0"/>
          <col width="230"/>
          <col width="0"/>
          <col width="270"/>
          <thead>
            <tr valign="top">
              <td colspan="3">Characteristics</td>
              <td colspan="2">Cohort A (n=271), n (%)</td>
              <td>Cohort B (n=286), n (%)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="6">
                <bold>Age (years)</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>18-29</td>
              <td colspan="2">119 (43.9)</td>
              <td colspan="2">145 (50.7)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>30-49</td>
              <td colspan="2">116 (42.8)</td>
              <td colspan="2">111 (38.9)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>≥50</td>
              <td colspan="2">36 (13.3)</td>
              <td colspan="2">30 (10.5)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Gender</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Female</td>
              <td colspan="2">144 (53.1)</td>
              <td colspan="2">136 (47.6)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Male</td>
              <td colspan="2">124 (45.8)</td>
              <td colspan="2">144 (50.3)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Nonbinary, transgender, or other</td>
              <td colspan="2">3 (1.1)</td>
              <td colspan="2">6 (2.1)</td>
            </tr>
            <tr valign="top">
              <td colspan="3">Ethnicity: Hispanic or Latinx</td>
              <td colspan="2">54 (20.0)</td>
              <td>39 (13.6)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Race<sup>a</sup></bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Asian</td>
              <td colspan="2">29 (10.7)</td>
              <td colspan="2">96 (33.6)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Black or African American</td>
              <td colspan="2">70 (25.8)</td>
              <td colspan="2">37 (12.9)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>White</td>
              <td colspan="2">160 (59.0)</td>
              <td colspan="2">139 (48.6)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Other<sup>b</sup></td>
              <td colspan="2">27 (10.0)</td>
              <td colspan="2">28 (9.8)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Educational attainment</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Less than high school diploma</td>
              <td colspan="2">3 (1.1)</td>
              <td colspan="2">6 (2.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>High school diploma or equivalent</td>
              <td colspan="2">54 (19.9)</td>
              <td colspan="2">46 (16.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Some college or associate’s degree</td>
              <td colspan="2">102 (37.6)</td>
              <td colspan="2">106 (37.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Bachelor’s degree</td>
              <td colspan="2">81 (29.9)</td>
              <td colspan="2">102 (35.7)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Graduate or professional degree</td>
              <td colspan="2">31 (11.4)</td>
              <td colspan="2">26 (9.1)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Political partisanship</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Democratic (including leaners)</td>
              <td colspan="2">81 (29.9)</td>
              <td colspan="2">150 (52.4)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Republican (including leaners)</td>
              <td colspan="2">91 (33.6)</td>
              <td colspan="2">42 (14.7)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Independent or other</td>
              <td colspan="2">99 (36.5)</td>
              <td colspan="2">94 (32.9)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Geography</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Rural area</td>
              <td colspan="2">41 (15.1)</td>
              <td colspan="2">35 (12.2)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Suburban or urban area</td>
              <td colspan="2">230 (84.9)</td>
              <td colspan="2">251 (87.8)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Intention to receive vaccine</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Definitely will not</td>
              <td colspan="2">71 (26.2)</td>
              <td colspan="2">29 (10.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Probably will not</td>
              <td colspan="2">68 (25.1)</td>
              <td colspan="2">17 (5.9)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Undecided</td>
              <td colspan="2">54 (19.9)</td>
              <td colspan="2">29 (10.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Definitely or probably will</td>
              <td colspan="2">78 (28.8)</td>
              <td colspan="2">211 (73.8)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Comprehension questions<sup>c</sup></bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Reason for pause</td>
              <td colspan="2">259 (95.6)</td>
              <td colspan="2">280 (97.9)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Causal relationship between vaccine and side effect</td>
              <td colspan="2">196 (72.3)</td>
              <td colspan="2">215 (75.2)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Affected population</td>
              <td colspan="2">234 (86.3)</td>
              <td colspan="2">248 (86.7)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Safety of mRNA vaccines</td>
              <td colspan="2">214 (79.0)</td>
              <td colspan="2">250 (87.4)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Revaccination of J&#38;J-Janssen recipients</td>
              <td colspan="2">164 (60.5)</td>
              <td colspan="2">189 (66.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Symptom monitoring for J&#38;J-Janssen recipients</td>
              <td colspan="2">180 (66.4)</td>
              <td colspan="2">121 (42.3)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Rescheduling of canceled appointments</td>
              <td colspan="2">192 (70.8)</td>
              <td colspan="2">229 (80.1)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Comprehension score<sup>d</sup></bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>7</td>
              <td colspan="2">62 (22.9)</td>
              <td colspan="2">43 (15.0)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>6</td>
              <td colspan="2">80 (29.5)</td>
              <td colspan="2">119 (41.6)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>5</td>
              <td colspan="2">61 (22.5)</td>
              <td colspan="2">59 (20.6)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>4</td>
              <td colspan="2">33 (12.2)</td>
              <td colspan="2">38 (13.3)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>3</td>
              <td colspan="2">24 (8.9)</td>
              <td colspan="2">18 (6.3)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>0-2</td>
              <td colspan="2">11 (4.1)</td>
              <td colspan="2">9 (3.1)</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Self-reported impressions of passage<sup>e</sup></bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Accurate and should be trusted</td>
              <td colspan="2">119 (43.9)</td>
              <td colspan="2">198 (69.2)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>High-quality evidence</td>
              <td colspan="2">110 (40.6)</td>
              <td colspan="2">180 (62.9)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Clear and easy to read</td>
              <td colspan="2">229 (84.5)</td>
              <td colspan="2">243 (85.0)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Understandable</td>
              <td colspan="2">229 (84.5)</td>
              <td colspan="2">251 (87.8)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Requiring great effort to understand</td>
              <td colspan="2">58 (21.4)</td>
              <td colspan="2">69 (24.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Other people would want to read</td>
              <td colspan="2">173 (63.8)</td>
              <td colspan="2">172 (60.1)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Would share on social media</td>
              <td colspan="2">53 (19.6)</td>
              <td colspan="2">75 (26.2)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table1fn1">
            <p><sup>a</sup>Participants could select more than one option.</p>
          </fn>
          <fn id="table1fn2">
            <p><sup>b</sup>Includes participants who selected “American Indian or Alaska Native,” “Native Hawaiian or Other Pacific Islander,” or “Another option not listed here.”</p>
          </fn>
          <fn id="table1fn3">
            <p><sup>c</sup>Number of participants who gave the correct answer to each question.</p>
          </fn>
          <fn id="table1fn4">
            <p><sup>d</sup>Number of participants who gave the indicated number of correct answers across all questions.</p>
          </fn>
          <fn id="table1fn5">
            <p><sup>e</sup>Number of participants who answered “Strongly agree” or “Agree” about each description on a 6-point Likert scale.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <fig id="figure1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Self-reported attitude changes and estimated cases and deaths. J&#38;J: Johnson &#38; Johnson.</p>
        </caption>
        <graphic xlink:href="jmir_v26i1e41559_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
      </fig>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>In our web-based survey about the CDC’s messaging around the J&#38;J-Janssen vaccine pause, many respondents overestimated the number of case reports that prompted the pause, often by several orders of magnitude. Since verbal descriptors are elastic concepts that can be misinterpreted, grounding them with numbers can reduce variability in risk perception and promote informed decision-making [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
      <p>Respondents also expressed reduced confidence in the safety of the J&#38;J-Janssen vaccine, highlighting the potential danger of conveying piecemeal information about risk during a pandemic response [<xref ref-type="bibr" rid="ref3">3</xref>]. Encouragingly, the reduced confidence did not extend to mRNA COVID-19 vaccines, consistent with previous findings that overall vaccine hesitancy remained stable following the pause [<xref ref-type="bibr" rid="ref6">6</xref>]. These results were obtained using the counterfactual format, which is less susceptible to overestimating shifts in beliefs than the change format (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The negative association between understanding of the passage and self-reported vaccine hesitancy suggests that more targeted messaging may have been useful to promote vaccine confidence [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>].</p>
      <p>Consistent with uncertainty management theory [<xref ref-type="bibr" rid="ref9">9</xref>], individuals likely viewed the pause in different ways, leading to a spectrum of emotional responses and changes in behavior. Despite being a safety precaution, the pause introduced new uncertainties requiring effective management through clear and consistent messaging, highlighting the balance that must be maintained between fostering trust and preventing unnecessary alarm [<xref ref-type="bibr" rid="ref10">10</xref>]. Given the limitations of the deficit model of scientific communication [<xref ref-type="bibr" rid="ref11">11</xref>], just providing technically correct information is insufficient for effective communication during public health crises. Instead, attention should be given to the accessibility of information across diverse socioeconomic groups, in line with the knowledge gap hypothesis [<xref ref-type="bibr" rid="ref12">12</xref>], and to countering misinformation by providing easy-to-use official guidance [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>].</p>
      <p>The study is limited by the convenience sampling strategy; the participants recruited were not representative of the US population as a whole, and the findings should not be generalized to other contexts. Since the study was conducted on the web, individuals with lower internet and health literacy may have been excluded.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Additional information about survey methodology.</p>
        <media xlink:href="jmir_v26i1e41559_app1.pdf" xlink:title="PDF File  (Adobe PDF File), 99 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Survey administered to cohort A.</p>
        <media xlink:href="jmir_v26i1e41559_app2.pdf" xlink:title="PDF File  (Adobe PDF File), 107 KB"/>
      </supplementary-material>
      <supplementary-material id="app3">
        <label>Multimedia Appendix 3</label>
        <p>Survey administered to cohort B.</p>
        <media xlink:href="jmir_v26i1e41559_app3.pdf" xlink:title="PDF File  (Adobe PDF File), 99 KB"/>
      </supplementary-material>
      <supplementary-material id="app4">
        <label>Multimedia Appendix 4</label>
        <p>Supplemental tables about survey questions and ordinal logistic regression analysis.</p>
        <media xlink:href="jmir_v26i1e41559_app4.pdf" xlink:title="PDF File  (Adobe PDF File), 90 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">CDC</term>
          <def>
            <p>Centers for Disease Control and Prevention</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">J&#38;J</term>
          <def>
            <p>Johnson &#38; Johnson</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>We thank Vasudha Mishra, MBBS, for assistance with graphic design. This work was supported by a CoronaVirusFacts Alliance Grant from the Poynter Institute, a Harvard Data Science Fellowship, and the Institute of Collaborative Innovation at the University of Macau.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data sets generated during this study are available from the corresponding author upon reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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