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<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</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">v3i1e1</article-id>
    <article-id pub-id-type="pmid">28062390</article-id>
    <article-id pub-id-type="doi">10.2196/publichealth.6687</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Original Paper</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Original Paper</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>The Readability of Electronic Cigarette Health Information and Advice: A Quantitative Analysis of Web-Based Information</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Eysenbach</surname>
          <given-names>Gunther</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Lazard</surname>
          <given-names>Allison</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Wilson</surname>
          <given-names>Amy</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Keselman</surname>
          <given-names>Alla</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1" corresp="yes">
      <name name-style="western">
        <surname>Park</surname>
        <given-names>Albert</given-names>
      </name>
      <degrees>PhD</degrees>
      <xref rid="aff1" ref-type="aff">1</xref>
      <address>
        <institution>Department of Biomedical Informatics</institution>
        <institution>University of Utah</institution>
        <addr-line>421 Wakara Way #140</addr-line>
        <addr-line>Salt Lake City, UT, 84108</addr-line>
        <country>United States</country>
        <phone>1 206 743 7843</phone>
        <fax>1 801 581 4297</fax>
        <email>alpark1216@gmail.com</email>
      </address>  
      <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-2419-0131</ext-link></contrib>
      <contrib contrib-type="author" id="contrib2">
        <name name-style="western">
          <surname>Zhu</surname>
          <given-names>Shu-Hong</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff2" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-4149-3441</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib3">
        <name name-style="western">
          <surname>Conway</surname>
          <given-names>Mike</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff1" ref-type="aff">1</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-3209-8108</ext-link>
      </contrib>
    </contrib-group>
    <aff id="aff1">
    <sup>1</sup>
    <institution>Department of Biomedical Informatics</institution>
    <institution>University of Utah</institution>  
    <addr-line>Salt Lake City, UT</addr-line>
    <country>United States</country></aff>
    <aff id="aff2">
    <sup>2</sup>
    <institution>Department of Family Medicine &#38; Public Health</institution>
    <institution>University of California, San Diego</institution>  
    <addr-line>La Jolla, CA</addr-line>
    <country>United States</country></aff>
    <author-notes>
      <corresp>Corresponding Author: Albert Park 
      <email>alpark1216@gmail.com</email></corresp>
    </author-notes>
    <pub-date pub-type="collection"><season>Jan-Mar</season><year>2017</year></pub-date>
    <pub-date pub-type="epub">
      <day>06</day>
      <month>01</month>
      <year>2017</year>
    </pub-date>
    <volume>3</volume>
    <issue>1</issue>
    <elocation-id>e1</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>23</day>
        <month>9</month>
        <year>2016</year>
      </date>
      <date date-type="rev-request">
        <day>3</day>
        <month>11</month>
        <year>2016</year>
      </date>
      <date date-type="rev-recd">
        <day>22</day>
        <month>11</month>
        <year>2016</year>
      </date>
      <date date-type="accepted">
        <day>8</day>
        <month>12</month>
        <year>2016</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Albert Park, Shu-Hong Zhu, Mike Conway. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 06.01.2017.</copyright-statement>
    <copyright-year>2017</copyright-year>
    <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
      <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
    </license>  
    <self-uri xlink:href="http://publichealth.jmir.org/2017/1/e1/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="background">
        <title>Background</title>
        <p>The popularity and use of electronic cigarettes (e-cigarettes) has increased across all demographic groups in recent years. However, little is currently known about the readability of health information and advice aimed at the general public regarding the use of e-cigarettes.</p>
      </sec>
      <sec sec-type="objective">
        <title>Objective</title>
        <p>The objective of our study was to examine the readability of publicly available health information as well as advice on e-cigarettes. We compared information and advice available from US government agencies, nongovernment organizations, English speaking government agencies outside the United States, and for-profit entities.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>A systematic search for health information and advice on e-cigarettes was conducted using search engines. We manually verified search results and converted to plain text for analysis. We then assessed readability of the collected documents using 4 readability metrics followed by pairwise comparisons of groups with adjustment for multiple comparisons.</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>A total of 54 documents were collected for this study. All 4 readability metrics indicate that all information and advice on e-cigarette use is written at a level higher than that recommended for the general public by National Institutes of Health (NIH) communication guidelines. However, health information and advice written by for-profit entities, many of which were promoting e-cigarettes, were significantly easier to read.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>A substantial proportion of potential and current e-cigarette users are likely to have difficulty in fully comprehending Web-based health information regarding e-cigarettes, potentially hindering effective health-seeking behaviors. To comply with NIH communication guidelines, government entities and nongovernment organizations would benefit from improving the readability of e-cigarettes information and advice.</p>
      </sec>
    </abstract>
    <kwd-group>
      <kwd>electronic cigarettes</kwd>
      <kwd>tobacco use cessation products</kwd>
      <kwd>health services</kwd>
      <kwd>consumer health information</kwd>
      <kwd>health education</kwd>
    </kwd-group></article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>The popularity and use of electronic cigarettes (e-cigarettes) has rapidly increased across all demographic groups in recent years [<xref ref-type="bibr" rid="ref1">1</xref>]. In fact, there is a continuing increase in not only Web-based promotional messages for e-cigarette brands and flavors [<xref ref-type="bibr" rid="ref2">2</xref>], but also the use of e-cigarettes by non or former-smokers[<xref ref-type="bibr" rid="ref1">1</xref>] and youth [<xref ref-type="bibr" rid="ref3">3</xref>]. Despite inconclusive and contested evidence regarding their safety and effectiveness in helping smoking cessation [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>], many e-cigarette users believe that they have better health, including improved breathing, less coughing, and lesser chance of getting a sore throat when compared with combustible cigarette users [<xref ref-type="bibr" rid="ref3">3</xref>]. Thus, analyzing readability (ie, how difficult a text is to understand) of easily accessible e-cigarette related health information and advice (EHIA) is a much needed step toward understanding available EHIA and identifying opportunities to enhance health advice practices for specific target populations.</p>
      <p>The Internet has become a prominent source of text-based health information for consumers [<xref ref-type="bibr" rid="ref6">6</xref>]. Meanwhile, health information is only productive if it is understood by its audience. The average American adults’ reading level is estimated to be at the 8th grade [<xref ref-type="bibr" rid="ref7">7</xref>]. Thus, the US Department of Health and Human Services (HHS) [<xref ref-type="bibr" rid="ref8">8</xref>] and the National Institutes of Health (NIH) [<xref ref-type="bibr" rid="ref9">9</xref>] recommend health information to be written at 6th to 7th grade level, which is the expected reading level for age 10 to 13 years in the US education system. These recommendations are made to ensure the understandability of health information and reduce health information deficits in the general population.</p>
      <p>A number of studies have investigated the readability of health-related content on the Internet. Across these studies, researchers consistently found empirical evidence that text-based consumer health information resources were too complex for the recommended 6th to 7th grade reading level [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. For instance, smoking education materials [<xref ref-type="bibr" rid="ref10">10</xref>], warnings on alcohol and tobacco products [<xref ref-type="bibr" rid="ref11">11</xref>], Web-based patient education materials [<xref ref-type="bibr" rid="ref12">12</xref>-<xref ref-type="bibr" rid="ref14">14</xref>], informed consent documents used in clinical trial research [<xref ref-type="bibr" rid="ref15">15</xref>], government endorsed written action-plan handouts [<xref ref-type="bibr" rid="ref16">16</xref>], and commercially available health information [<xref ref-type="bibr" rid="ref17">17</xref>] were found to require higher literacy levels than that recommended by the NIH and HHS. Moreover, health information available from commercially funded sources was significantly more difficult to read than information available from government-funded sources [<xref ref-type="bibr" rid="ref18">18</xref>]. This complexity often led to comprehension errors [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>] for average Americans. We believe that this study is the first study that examines the readability of EHIA available on the Internet.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>A systematic search of EHIA was conducted using 3 search engines (ie, Google, Yahoo, and Bing) in January of 2016. We simulated the behavior of general consumers using various combinations of search terms: <italic>advice</italic>, <italic>cig</italic>, <italic>cigarette</italic>, <italic>e</italic>, <italic>electronic</italic>, <italic>health</italic>, and <italic>information</italic>. Then for comparison purposes, we specifically searched for EHIA from various US public health agencies (eg, HHS), other English speaking nations’ public health agencies (United Kingdom, Australia, New Zealand, Canada), popular consumer health information sites (eg, WebMD), as well as nongovernment organizations (eg, Wikipedia).</p>
      <p>In this study, data was only gathered from the first page of search results for each search engine, as most users rarely investigate past the first page of search results [<xref ref-type="bibr" rid="ref21">21</xref>], and so our focus with this work is the analysis of the most frequently accessed EHIA, rather than a comprehensive study of all EHIA. We manually verified search results and retained those webpages that included any EHIA. We excluded articles published in peer-reviewed journals since general consumers are unlikely to read them. Any figures, such as pictorial descriptions, were removed and the webpages were converted to plain text for analysis.</p>
      <p>Organization types were determined by the affiliations, funding sources, and available classification information for each organization. Several websites had no explicit indication of their affiliations or funding sources. We assumed that they were for-profit entities due to their informational advertising style content. Moreover, several documents formed part of a bigger document (eg, Wikipedia), in which case we only included sections on EHIA in this study (see <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref>).</p>
      <p>To assess readability (ie, the estimated US grade level that is required to comprehend a text), we used <italic>Flesch-Kincaid grade level</italic> [<xref ref-type="bibr" rid="ref22">22</xref>], <italic>Simple Measure Of Gobbledygook (SMOG) Index</italic> [<xref ref-type="bibr" rid="ref23">23</xref>], <italic>Coleman and Liau Index</italic> [<xref ref-type="bibr" rid="ref24">24</xref>], and <italic>automated readability index</italic> [<xref ref-type="bibr" rid="ref25">25</xref>], which are widely used metrics in previously mentioned readability studies [<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. To perform the automated readability analysis, we used the open-source Python <italic>textstat</italic> package [<xref ref-type="bibr" rid="ref26">26</xref>]. In order to increase the reliability of our readability metrics, and given that different readability metrics can generate a range of results, our analysis was based on the mean of the 4 readability metrics. We then conducted pairwise independent sample <italic>t</italic> tests to compare readability scores among different groups (ie, for-profit entities, nongovernment organizations, non-US government entities, the US government, the US government entities written for teens) followed by <italic>P</italic> value adjustments using the prespecified Hommel procedure [<xref ref-type="bibr" rid="ref27">27</xref>] to adjust for multiple comparison. The research reported in this study was exempted from review by the University of Utah Institutional Review Board (ethics committee) (IRB_00076188).</p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>We collected a total of 54 documents for this study including materials from 27 US government entities (eg, HHS), 10 for-profit entities (eg, Consumer Affair), 7 non-US government entities (eg, Ministry of Health New Zealand), 7 nongovernment organizations (eg, Mayo Clinic), and 3 documents that were specifically written for teens by US government entities (eg, National Institute on Drug Abuse).</p>
      <p>Complete readability scores for each document are presented in <xref ref-type="app" rid="app1">Multimedia Appendix 1</xref>. On average, the following grade reading levels (standard error) were required to understand the materials from these organizations (see <xref ref-type="app" rid="app2">Multimedia Appendix 2</xref>):</p>
      <list list-type="bullet">
        <list-item>
          <p>for-profit entities: 10.46 (0.55)</p>
        </list-item>
        <list-item>
          <p>nongovernment organizations: 14.30 (0.86)</p>
        </list-item>
        <list-item>
          <p>non-US government entities: 14.44 (0.58)</p>
        </list-item>
        <list-item>
          <p>the US government: 13.48 (0.33)</p>
        </list-item>
        <list-item>
          <p>the US government entities written for teens: 10.71 (1.15)</p>
        </list-item>
      </list>
      <p>The overall comparisons of different groups are shown in <xref ref-type="table" rid="table1">Table 1</xref>, and the details of comparison results using individual metrics are available in <xref ref-type="app" rid="app3">Multimedia Appendices 3</xref>-<xref ref-type="app" rid="app6">6</xref>. Content from for-profit entities was found to be significantly easier to read when compared with materials from all other entities except for materials written for teens by the US government. The differences among all other groups were not found to be significant (<xref ref-type="table" rid="table1">Table 1</xref>).</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Pairwise <italic>t</italic> test using average scores of 4 metrics.</p>
        </caption>
        <table width="625" cellpadding="7" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="200"/>
          <col width="150"/>
          <col width="80"/>
          <col width="80"/>
          <col width="79"/>
          <thead>
            <tr valign="top">
              <td>Organization Type</td>
              <td>Organization Type</td>
              <td><italic>t</italic> value</td>
              <td><italic>P</italic> value</td>
              <td>Adjusted <italic>P</italic> value (Hommel)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td rowspan="4">Versus for-profit entities</td>
              <td>Nongovernment organizations</td>
              <td>−3.97</td>
              <td>.001</td>
              <td>.01</td>
            </tr>
            <tr valign="top">
              <td>Non-US government entities</td>
              <td>−4.90</td>
              <td>&#60;.001</td>
              <td>.002</td>
            </tr>
            <tr valign="top">
              <td>US government</td>
              <td>−4.76</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td>US government (teen)</td>
              <td>−0.21</td>
              <td>.84</td>
              <td>.89</td>
            </tr>
            <tr valign="top">
              <td rowspan="3">Versus nongovernment organizations</td>
              <td>Non-US government entities</td>
              <td>−0.14</td>
              <td>.84</td>
              <td>.89</td>
            </tr>
            <tr valign="top">
              <td>US government</td>
              <td>1.07</td>
              <td>.29</td>
              <td>.88</td>
            </tr>
            <tr valign="top">
              <td>US government (teen)</td>
              <td>2.36</td>
              <td>.05</td>
              <td>.23</td>
            </tr>
            <tr valign="top">
              <td rowspan="2">Versus non-US government entities</td>
              <td>US government</td>
              <td>1.36</td>
              <td>.18</td>
              <td>.59</td>
            </tr>
            <tr valign="top">
              <td>US government (teen)</td>
              <td>3.27</td>
              <td>.01</td>
              <td>.07</td>
            </tr>
            <tr valign="top">
              <td>Versus US government</td>
              <td>US government (teen)</td>
              <td>2.64</td>
              <td>.01</td>
              <td>.08</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>In this study, we used 4 different readability metrics to evaluate the readability of EHIA from 54 sources gathered on the Internet. All 4 metrics indicate that all located EHIA are written at a higher level than the recommended level for the general public. Moreover, EHIA written by for-profit entities, many of whom were advocating e-cigarettes, were significantly easier to read than materials written by nongovernment organizations, non-US government entities, and the US government. Our results contrast with the results of a previous readability study comparing health information written by commercially funded sources and government-funded sources [<xref ref-type="bibr" rid="ref18">18</xref>]. However, both studies found that the readability of health information was generally too difficult for the public. One encouraging finding in this study is that materials written specifically for teens by US government entities were easier to read than other materials generated by US government entities aimed at the general population, although the difference was found significant for only 1 metric— <italic>Coleman and Liau Index</italic> (see <xref ref-type="app" rid="app5">Multimedia Appendix 5</xref>).</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>We recognize various limitations of this study. First, individuals accessing EHIA on the Web may not be representative of the general population. However, given that the Internet has become an increasingly popular resource for gathering health information in recent years [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref28">28</xref>], it is likely that a substantial proportion of those potential and current e-cigarettes users seeking EHIA on the Web would have experienced difficulties in fully comprehending “official” health advice, potentially hindering effective health-seeking behaviors. Second, we acknowledge that readability measures alone may not be a perfect representation of reading level [<xref ref-type="bibr" rid="ref29">29</xref>]. For instance, EHIA could contain pictorial information, which has been shown to be more effective than text-only messages in conveying health warnings on tobacco packages [<xref ref-type="bibr" rid="ref30">30</xref>]. In this study, we focused on textual information as text remains the primary medium for health communication and information dissemination on the Internet [<xref ref-type="bibr" rid="ref31">31</xref>]. Third, we used general purpose readability metrics that measure rudimentary lexical features of text. Although these metrics may not be able to accurately assess the complexity of a text [<xref ref-type="bibr" rid="ref32">32</xref>], a recent study shows lexical features are more important in estimating readability than the complexity of sentences [<xref ref-type="bibr" rid="ref33">33</xref>]. Finally, our analysis, although systematic, is not exhaustive. A large number of EHIA exist that were not included in our study. Moreover, we limited our search to English language materials. However, we evaluated materials from key official websites that are easily accessible via widely used search engines.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>The results of this study suggest that EHIA generated by the for-profit sector is easier to read than EHIA generated by government entities. In order to comply with communication guidelines of the NIH and HHS, government entities and nongovernment organizations would benefit from improving the readability of EHIA.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <app id="app1">
        <title>Multimedia Appendix 1</title>
        <p>Individual scores.</p>
        <media xlink:href="publichealth_v3i1e1_app1.pdf" xlink:title="PDF File (Adobe PDF File), 85KB"/>
      </app>
      <app id="app2">
        <title>Multimedia Appendix 2</title>
        <p>Mean (SE) of each organization type.</p>
        <media xlink:href="publichealth_v3i1e1_app2.pdf" xlink:title="PDF File (Adobe PDF File), 23KB"/>
      </app>
      <app id="app3">
        <title>Multimedia Appendix 3</title>
        <p>Pairwise <italic>t</italic> test of Flesch Kincaid Grade.</p>
        <media xlink:href="publichealth_v3i1e1_app3.pdf" xlink:title="PDF File (Adobe PDF File), 15KB"/>
      </app>
      <app id="app4">
        <title>Multimedia Appendix 4</title>
        <p>Pairwise <italic>t</italic> test of SMOG Index.</p>
        <media xlink:href="publichealth_v3i1e1_app4.pdf" xlink:title="PDF File (Adobe PDF File), 15KB"/>
      </app>
      <app id="app5">
        <title>Multimedia Appendix 5</title>
        <p>Pairwise <italic>t</italic> test of Coleman Liau Index.</p>
        <media xlink:href="publichealth_v3i1e1_app5.pdf" xlink:title="PDF File (Adobe PDF File), 15KB"/>
      </app>
      <app id="app6">
        <title>Multimedia Appendix 6</title>
        <p>Pairwise <italic>t</italic> test of Automated Readability Index.</p>
        <media xlink:href="publichealth_v3i1e1_app6.pdf" xlink:title="PDF File (Adobe PDF File), 15KB"/>
      </app>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">e-cigarettes</term>
          <def>
            <p>electronic cigarettes</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">EHIA:</term>
          <def>
            <p>e-cigarette related health information and advice</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">HHS</term>
          <def>
            <p>US Department of Health and Human Services</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">NIH</term>
          <def>
            <p>National Institutes of Health</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">SMOG</term>
          <def>
            <p>Simple Measure of Gobbledygook</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>Dr Park was funded by the National Institute for Health-National Library of Medicine T15 LM007124. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.</p>
      <p>The authors would like to thank Mr Gregory Stoddard at the University of Utah for his advice and comments during the preparation of this article.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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      <ref id="ref1">
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