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<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">IJMR</journal-id>
      <journal-id journal-id-type="nlm-ta">Interact J Med Res</journal-id>
      <journal-title>Interactive Journal of Medical Research</journal-title>
      <issn pub-type="epub">1929-073X</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">v13i1e64439</article-id>
      <article-id pub-id-type="pmid">39666968</article-id>
      <article-id pub-id-type="doi">10.2196/64439</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>Public Awareness and Use of Price Transparency: Report From a National Survey</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>de Azevedo Cardoso</surname>
            <given-names>Taiane</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Siegenthaler</surname>
            <given-names>Simon</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Booth</surname>
            <given-names>Garrett S</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>van Harten</surname>
            <given-names>Wim</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Pathak</surname>
            <given-names>Yuvraj</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>West Health Institute</institution>
            <addr-line>10350 N Torrey Pines Rd</addr-line>
            <addr-line>La Jolla, CA, 92037</addr-line>
            <country>United States</country>
            <phone>1 8585357000</phone>
            <email>ypathak@westhealth.org</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1438-7897</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Muhlestein</surname>
            <given-names>David</given-names>
          </name>
          <degrees>JD, PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2349-9102</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>West Health Institute</institution>
        <addr-line>La Jolla, CA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Simple Healthcare</institution>
        <addr-line>Sanford, FL</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Yuvraj Pathak <email>ypathak@westhealth.org</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <volume>13</volume>
      <elocation-id>e64439</elocation-id>
      <history>
        <date date-type="received">
          <day>17</day>
          <month>7</month>
          <year>2024</year>
        </date>
        <date date-type="rev-request">
          <day>19</day>
          <month>9</month>
          <year>2024</year>
        </date>
        <date date-type="rev-recd">
          <day>18</day>
          <month>10</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>5</day>
          <month>11</month>
          <year>2024</year>
        </date>
      </history>
      <copyright-statement>©Yuvraj Pathak, David Muhlestein. Originally published in the Interactive Journal of Medical Research (https://www.i-jmr.org/), 12.12.2024.</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 Interactive Journal of Medical Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.i-jmr.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.i-jmr.org/2024/1/e64439" xlink:type="simple"/>
      <kwd-group>
        <kwd>price transparency</kwd>
        <kwd>consumer choice</kwd>
        <kwd>survey</kwd>
        <kwd>questionnaire</kwd>
        <kwd>finance</kwd>
        <kwd>cost</kwd>
        <kwd>economics</kwd>
        <kwd>price</kwd>
        <kwd>pricing</kwd>
        <kwd>consumer</kwd>
        <kwd>transparent</kwd>
        <kwd>Medicare</kwd>
        <kwd>Medicaid</kwd>
        <kwd>insurance</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>It is well known that health care spending in the United States is much higher than similar countries but that this does not result in better health outcomes [<xref ref-type="bibr" rid="ref1">1</xref>]. Research has shown that this higher spending is driven by high prices rather than greater utilization of care [<xref ref-type="bibr" rid="ref2">2</xref>]. Until recently, publicly available information on health care prices has been scarce [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. This began to change when the hospital price transparency (HPT) went into effect on January 1, 2021 [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
      <p>HPT requires hospitals to post prices or negotiated rates of common, “shoppable,” services, as defined by the Centers for Medicare and Medicaid (CMS), in a machine-readable format. Examples of these shoppable services include common blood tests and radiology services such as X-rays and mammograms. In July 2022, the CMS also mandated that payers post the prices for a more expansive set of services, under the Transparency in Coverage (TIC) regulation [<xref ref-type="bibr" rid="ref6">6</xref>]. Thanks to HPT and TIC, health care prices are no longer hidden from the public.</p>
      <p>CMS’s stated goal [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref7">7</xref>] for these transparency initiatives is to help inform consumers about the cost of medical services prior to receiving them, as this information can help people make informed decisions about where they receive services. Additionally, transparency about prices could lead to greater competition and potentially lower prices and health care spending.</p>
      <p>These transparency initiatives can be impactful if people are aware that they can access information on health care prices for decision-making, especially for shoppable services with comparable quality across providers. This impact is only actualized if hospitals comply with CMS requirements to provide complete and accurate data on prices in a timely manner.</p>
      <p>This paper aims to examine whether people are aware that they can look up prices of health care services prior to receiving care, and whether this newly available information is being used.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>The data for this study come from a nationally representative survey conducted by Gallup in partnership with West Health Institute from November 2023 through January 2024 that included 5149 randomly selected adults aged 18 years and older from across all 50 states and the District of Columbia from the Gallup Panel [<xref ref-type="bibr" rid="ref8">8</xref>].</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>The survey received ethical approval from Gallup’s internal institutional review board for all human subject and external reporting considerations (2023-10-04). Participation in the survey was voluntary. All the responses were deidentified and no personal health information or other sensitive personal information was shared with the authors. Web respondents were offered an incentive of $5 while mail respondents were offered an incentive of $2.</p>
      </sec>
      <sec>
        <title>Survey</title>
        <p>The survey response rate was 38%. Further details on the sampling strategy are in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. The survey consisted of questions on people’s experiences and perceptions of health care in America. For this study, we focus on four questions: respondents’ (1) awareness of, (2) use of, and (3) and (4) opinions about compliance with price transparency laws. Percentages were estimated as the count of responses divided by the number of respondents, multiplied by 100. Probability sampling weights provided by Gallup were used to weight the estimated percentages and to calculate the population estimates.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Low Awareness of Price Transparency</title>
        <p>Almost three-quarters of respondents (73%) were not aware that they could look up prices for common health care services provided by hospitals. Men were less likely (77%) than women (70%) to be aware of HPT. Lack of awareness was similar across all ages (<xref ref-type="table" rid="table1">Table 1</xref>).</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Awareness of price transparency.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="530"/>
            <col width="0"/>
            <col width="120"/>
            <col width="0"/>
            <col width="140"/>
            <col width="0"/>
            <col width="150"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Characteristics</td>
                <td colspan="4">Responses, %</td>
                <td colspan="2">Population size, N</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="2">Yes</td>
                <td colspan="2">No</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="9">
                  <bold>Are you aware that hospitals are required to post prices on their website?</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="2">Full sample (n=4946)</td>
                <td colspan="2">27</td>
                <td colspan="2">73</td>
                <td colspan="2">248,092,303</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="8">
                  <bold>Gender</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">Male (n=2513)</td>
                <td colspan="2">23</td>
                <td colspan="2">77</td>
                <td>124,047,066</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">Female (n=2371)</td>
                <td colspan="2">30</td>
                <td colspan="2">70</td>
                <td>118,640,004</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="8">
                  <bold>Race</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">White (n=3091)</td>
                <td colspan="2">28</td>
                <td colspan="2">72</td>
                <td>194,419,832</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">Non-White<sup>a</sup> (n=1827)</td>
                <td colspan="2">23</td>
                <td colspan="2">77</td>
                <td>51,826,750</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="8">
                  <bold>Age (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">18-29 (n=345)</td>
                <td colspan="2">27</td>
                <td colspan="2">73</td>
                <td>43,876,733</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">30-39 (n=619)</td>
                <td colspan="2">27</td>
                <td colspan="2">73</td>
                <td>44,685,260</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">40-49 (n=576)</td>
                <td colspan="2">25</td>
                <td colspan="2">75</td>
                <td>41,625,267</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">50-64 (n=1551)</td>
                <td colspan="2">25</td>
                <td colspan="2">75</td>
                <td>60,433,949</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">65 years and older (n=1855)</td>
                <td colspan="2">29</td>
                <td colspan="2">71</td>
                <td>57,471,094</td>
              </tr>
              <tr valign="top">
                <td colspan="9">
                  <bold>Have you ever looked up the price of a healthcare service before going to a hospital</bold>
                  <bold>?</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="2">Full sample (n=4954)</td>
                <td colspan="2">19</td>
                <td colspan="2">81</td>
                <td colspan="2">248,212,278</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="8">
                  <bold>Gender</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">Male (n=2523)</td>
                <td colspan="2">21</td>
                <td colspan="2">79</td>
                <td>123,971,168</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">Female (n=2369)</td>
                <td colspan="2">16</td>
                <td colspan="2">84</td>
                <td>118,835,877</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="8">
                  <bold>Race</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">White (n=3096)</td>
                <td colspan="2">23</td>
                <td colspan="2">77</td>
                <td>194,756,253</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">Non-White (n=1830)</td>
                <td colspan="2">18</td>
                <td colspan="2">82</td>
                <td>51,610,304</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="8">
                  <bold>Age (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">18-29 (n=346)</td>
                <td colspan="2">29</td>
                <td colspan="2">71</td>
                <td>43,614,198</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">30-39 (n=620)</td>
                <td colspan="2">23</td>
                <td colspan="2">77</td>
                <td>44,980,477</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">40-49 (n=575)</td>
                <td colspan="2">20</td>
                <td colspan="2">80</td>
                <td>41,553,530</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">50-64 (n=1554)</td>
                <td colspan="2">16</td>
                <td colspan="2">84</td>
                <td>60,512,956</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td colspan="2">65 and older (n=1859)</td>
                <td colspan="2">11</td>
                <td colspan="2">89</td>
                <td>57,551,117</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>The category “non-White” is used because there was 1 race/ethnicity variable instead of 2 separate variables for race and ethnicity. The non-White group included a mix of races and ethnicities.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Limited Use of Price Transparency Data</title>
        <p>Less than 20% of respondents said they had looked up the price of a medical service prior to their visit. Younger respondents (age 18-29 years; 29%) were more likely than older respondents (aged ≥65 years; 11%) to have ever looked up a price prior to going to a hospital.</p>
      </sec>
      <sec>
        <title>Opinions About Enforcing Compliance</title>
        <p>Overall, 78% of respondents preferred stricter penalties for hospitals that have not yet released their prices, and only 26% were in favor of CMS allowing hospitals more time to comply with the HPT requirements (<xref ref-type="table" rid="table2">Table 2</xref>).</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Opinions on enforcement of price transparency rules.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="350"/>
            <col width="0"/>
            <col width="170"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="170"/>
            <col width="0"/>
            <col width="0"/>
            <col width="150"/>
            <thead>
              <tr valign="top">
                <td colspan="4">Characteristics</td>
                <td colspan="7">Responses, %</td>
                <td>Population size, N</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <break/>
                </td>
                <td colspan="2">Disagree or strongly disagree</td>
                <td colspan="2">Neutral</td>
                <td colspan="2">Agree or strongly agree</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="12">
                  <bold>The federal government should impose and enforce stronger penalties on the hospitals that have not made their negotiated prices public.</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="3">Full sample (n=5004)</td>
                <td colspan="2">5</td>
                <td colspan="2">17</td>
                <td colspan="2">78</td>
                <td colspan="2">249,963,323</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="11">
                  <bold>Gender</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Male (n=2534)</td>
                <td colspan="2">7</td>
                <td colspan="2">19</td>
                <td colspan="2">75</td>
                <td colspan="3">124,394,088</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Female (n=2408)</td>
                <td colspan="2">4</td>
                <td colspan="2">15</td>
                <td colspan="2">81</td>
                <td colspan="3">120,164,001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="11">
                  <bold>Race</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>White (n=3122)</td>
                <td colspan="2">6</td>
                <td colspan="2">16</td>
                <td colspan="2">78</td>
                <td colspan="3">195,617,984</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Non-White<sup>a</sup> (n=1854)</td>
                <td colspan="2">5</td>
                <td colspan="2">18</td>
                <td colspan="2">78</td>
                <td colspan="3">52,499,618</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="11">
                  <bold>Age (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>18-29 (n=348)</td>
                <td colspan="2">3</td>
                <td colspan="2">18</td>
                <td colspan="2">79</td>
                <td colspan="3">44,314,231</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>30-39 (n=617)</td>
                <td colspan="2">5</td>
                <td colspan="2">13</td>
                <td colspan="2">81</td>
                <td colspan="3">44,620,889</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>40-49 (n=575)</td>
                <td colspan="2">5</td>
                <td colspan="2">15</td>
                <td colspan="2">79</td>
                <td colspan="3">41,571,949</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>50-64 (n=1571)</td>
                <td colspan="2">6</td>
                <td colspan="2">17</td>
                <td colspan="2">77</td>
                <td colspan="3">61,030,674</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>65 and older (n=1893)</td>
                <td colspan="2">6</td>
                <td colspan="2">18</td>
                <td colspan="2">75</td>
                <td colspan="3">58,425,579</td>
              </tr>
              <tr valign="top">
                <td colspan="12">
                  <bold>The federal government should allow more time for hospitals to comply before strictly enforcing the law.</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="3">Full sample (n=4958)</td>
                <td colspan="2">51</td>
                <td colspan="2">23</td>
                <td colspan="2">26</td>
                <td colspan="2">248,828,600</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="11">
                  <bold>Gender</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Male (n=2510)</td>
                <td colspan="2">46</td>
                <td colspan="2">26</td>
                <td colspan="2">28</td>
                <td colspan="3">123,838,600</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Female (n=2386)</td>
                <td colspan="2">56</td>
                <td colspan="2">20</td>
                <td colspan="2">23</td>
                <td colspan="3">119,584,767</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="11">
                  <bold>Race</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>White (n=3102)</td>
                <td colspan="2">54</td>
                <td colspan="2">23</td>
                <td colspan="2">23</td>
                <td colspan="3">195,228,742</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Non-White (n=1828)</td>
                <td colspan="2">40</td>
                <td colspan="2">24</td>
                <td colspan="2">36</td>
                <td colspan="3">51,754,137</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="11">
                  <bold>Age (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>18-29 (n=347)</td>
                <td colspan="2">45</td>
                <td colspan="2">24</td>
                <td colspan="2">31</td>
                <td colspan="3">44,180,940</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>30-39 (n=618)</td>
                <td colspan="2">56</td>
                <td colspan="2">20</td>
                <td colspan="2">23</td>
                <td colspan="3">44,916,392</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>40-49 (n=576)</td>
                <td colspan="2">57</td>
                <td colspan="2">23</td>
                <td colspan="2">20</td>
                <td colspan="3">41,625,267</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>50-64 (n=1557)</td>
                <td colspan="2">55</td>
                <td colspan="2">20</td>
                <td colspan="2">24</td>
                <td colspan="3">60,693,140</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>65 and older (n=1860)</td>
                <td colspan="2">45</td>
                <td colspan="2">27</td>
                <td colspan="2">28</td>
                <td colspan="3">57,412,860</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>The category “non-White” is used because there was 1 race/ethnicity variable instead of 2 separate variables for race and ethnicity. The non-White group included a mix of races and ethnicities.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Increased price transparency has the potential to increase competition and decrease health care spending in the United States [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. It can also help consumers of health care make informed decisions [<xref ref-type="bibr" rid="ref5">5</xref>]. We found limited awareness and use of HPT data among the public, but there is a strong desire for transparency in health care prices. It should be noted that these findings are based on self-reported data and might differ from actual awareness and use of HPT. The CMS should improve compliance among hospitals by aggressively enforcing the existing penalties [<xref ref-type="bibr" rid="ref10">10</xref>]. Public awareness efforts could also lead to increased use by consumers.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Sampling strategy and survey questions.</p>
        <media xlink:href="ijmr_v13i1e64439_app1.docx" xlink:title="DOCX File , 17 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">CMS</term>
          <def>
            <p>Centers for Medicare and Medicaid</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">HPT</term>
          <def>
            <p>hospital price transparency</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">TIC</term>
          <def>
            <p>Transparency in Coverage</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <fn-group>
      <fn fn-type="conflict">
        <p>YP is an employee of Gary and Mary West Health Institute. DM is the founder and CEO of Simple Healthcare. Both organizations have a goal of lowering health care costs in the United States.</p>
      </fn>
    </fn-group>
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