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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">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">v27i1e70404</article-id>
      <article-id pub-id-type="pmid">40152920</article-id>
      <article-id pub-id-type="doi">10.2196/70404</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>Primary Care Practice Factors Associated With Telehealth Adoption in the United States: Cross-Sectional Survey Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Cahill</surname>
            <given-names>Naomi</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Colburn</surname>
            <given-names>Deirdre</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Opia</surname>
            <given-names>Frank</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ajayi</surname>
            <given-names>Simeon</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Mackwood</surname>
            <given-names>Matthew</given-names>
          </name>
          <degrees>MD, MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Community &#38; Family Medicine</institution>
            <institution>Geisel School of Medicine</institution>
            <institution>Dartmouth College</institution>
            <addr-line>One Medical Center Drive</addr-line>
            <addr-line>Hanover, NH, 03756</addr-line>
            <country>United States</country>
            <phone>1 6036504000</phone>
            <email>matthew.b.mackwood@hitchcock.org</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4508-8267</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Fisher</surname>
            <given-names>Elliott</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9571-4879</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Schmidt</surname>
            <given-names>Rachel O</given-names>
          </name>
          <degrees>MS</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0006-4383-6467</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>O'Malley</surname>
            <given-names>A James</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8389-6217</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Rodriguez</surname>
            <given-names>Hector P</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6564-2229</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Shortell</surname>
            <given-names>Stephen</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7392-9801</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Akré</surname>
            <given-names>Ellesse-Roselee</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2380-6344</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Berube</surname>
            <given-names>Alena</given-names>
          </name>
          <degrees>MS</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0003-6199-781X</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author">
          <name name-style="western">
            <surname>Schifferdecker</surname>
            <given-names>Karen E</given-names>
          </name>
          <degrees>PhD, MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2558-4885</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Community &#38; Family Medicine</institution>
        <institution>Geisel School of Medicine</institution>
        <institution>Dartmouth College</institution>
        <addr-line>Hanover, NH</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>The Dartmouth Institute for Health Policy &#38; Clinical Practice</institution>
        <institution>Geisel School of Medicine</institution>
        <institution>Dartmouth College</institution>
        <addr-line>Hanover, NH</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Department of Medicine</institution>
        <institution>Geisel School of Medicine</institution>
        <institution>Dartmouth College</institution>
        <addr-line>Hanover, NH</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Biomedical Data Science</institution>
        <institution>Geisel School of Medicine</institution>
        <institution>Dartmouth College</institution>
        <addr-line>Hanover, NH</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>School of Public Health</institution>
        <institution>University of California, Berkeley</institution>
        <addr-line>Berkeley, CA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Department of Health Policy and Management</institution>
        <institution>Bloomberg School of Public Health</institution>
        <institution>Johns Hopkins University</institution>
        <addr-line>Baltimore, MD</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Matthew Mackwood <email>matthew.b.mackwood@hitchcock.org</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>3</month>
        <year>2025</year>
      </pub-date>
      <volume>27</volume>
      <elocation-id>e70404</elocation-id>
      <history>
        <date date-type="received">
          <day>20</day>
          <month>12</month>
          <year>2024</year>
        </date>
        <date date-type="rev-request">
          <day>27</day>
          <month>1</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>5</day>
          <month>3</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>6</day>
          <month>3</month>
          <year>2025</year>
        </date>
      </history>
      <copyright-statement>©Matthew Mackwood, Elliott Fisher, Rachel O Schmidt, A James O'Malley, Hector P Rodriguez, Stephen Shortell, Ellesse-Roselee Akré, Alena Berube, Karen E Schifferdecker. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.03.2025.</copyright-statement>
      <copyright-year>2025</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 (ISSN 1438-8871), 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/2025/1/e70404" xlink:type="simple"/>
      <abstract>
        <p>In this national study of primary care practice–level factors associated with telehealth adoption in 2022, we found that training and assisting patients with the use of telehealth, broadband expansion efforts, and a higher proportion of low-income patients were associated with higher practice-level telehealth use, suggesting both opportunities for telehealth expansion and potential populations with higher need for its use.</p>
      </abstract>
      <kwd-group>
        <kwd>telehealth</kwd>
        <kwd>telemedicine</kwd>
        <kwd>remote consultation</kwd>
        <kwd>primary health care</kwd>
        <kwd>general practice</kwd>
        <kwd>internet access</kwd>
        <kwd>health policy</kwd>
        <kwd>health care economics and organizations</kwd>
        <kwd>access to primary care</kwd>
        <kwd>digital divide</kwd>
        <kwd>vulnerable populations</kwd>
        <kwd>medically underserved area</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>In 2021, the National Academy of Medicine called for further study of telehealth to help strengthen primary care as part of their “Implementing High-Quality Primary Care in the United States” report [<xref ref-type="bibr" rid="ref1">1</xref>]. Past studies highlight a range of patterns in telehealth use by patient-level factors [<xref ref-type="bibr" rid="ref2">2</xref>], but primary care practice–level capabilities, such as resources to enable telehealth, have not been systematically assessed. Organizational and contextual factors, such as a federally qualified health center (FQHC) designation and a practice’s neighborhood characteristics, may also be associated with telehealth use. We analyzed a national survey of US adult primary care practices to examine relationships between practice-level factors and telehealth adoption.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>We analyzed cross-sectional data from the 2022-2023 National Survey of Healthcare Organizations and Systems, which surveyed practice leaders about telehealth use in 2021, practice payment models, and care delivery structures and processes (1245/3499 people responded to the survey, for a 36% response rate). Survey administration information and data sources are described in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>.</p>
        <p>The primary outcomes are the proportion of all outpatient visits done via telehealth (real-time audiovisual or audio-only, eg, telephone) and the proportion of telehealth visits done audio-only. We categorized practices by quartile of telehealth use to compare practice-level differences by characteristic. We estimated multivariable linear regression models for all cases (N=1071) and used average marginal effects to generate estimates and 95% CIs for the primary outcome measures. Model covariates included practice ownership, clinician staffing, FQHC status, and telehealth-enabling resources. All analyses were completed in Stata (version 17; StataCorp), and all models used robust estimates of variance and 2-tailed <italic>P</italic> values, with <italic>P</italic>&#60;.05 set as the threshold for significance. Weights were used in all analyses to account for nonresponse probabilities, detailed in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>.</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>This study was deemed exempt by the Dartmouth College Committee for the Protection of Human Subjects (00032337). As practices were the unit of analysis, participants received an information sheet in lieu of informed consent. Practices were deidentified prior to analysis.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>The median use of telehealth for practice encounters was 20% (IQR 10%-35%), and the median proportion of audio-only telehealth visits was 29% (IQR 17%-50%). High-telehealth-use practices were more likely to care for a high proportion of uninsured patients, to have expanded broadband access for patients, and to have trained patients to use telehealth (<xref ref-type="table" rid="table1">Table 1</xref>).</p>
      <p>In multivariable regression analyses (<xref rid="figure1" ref-type="fig">Figure 1</xref>), a high payer mix of uninsured patients and high broadband expansion corresponded to higher telehealth use (<italic>P</italic>=.02 and <italic>P</italic>=.008, respectively), while rurality corresponded to lower telehealth use (<italic>P</italic>=.008). Audio-only telehealth use was higher among FQHCs compared to other practices (<italic>P</italic>=.02), and assisting patients with using telehealth was associated with both higher telehealth use and a smaller proportion of audio-only telehealth use (<italic>P</italic>=.002 and <italic>P</italic>=.001, respectively).</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Practice demographics (N=1071), overall and stratified by telehealth use quartile.</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="90"/>
          <col width="110"/>
          <col width="110"/>
          <col width="110"/>
          <col width="90"/>
          <col width="0"/>
          <col width="0"/>
          <col width="80"/>
          <thead>
            <tr valign="bottom">
              <td colspan="3">Characteristics<sup>a</sup></td>
              <td>Overall, %</td>
              <td colspan="5">Practice quartile for telehealth use, %</td>
              <td colspan="2"><italic>P</italic> value<sup>b</sup></td>
            </tr>
            <tr valign="top">
              <td colspan="3">
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Lowest (0%-10%)</td>
              <td>Second (&#62;10%-20%)</td>
              <td>Third (&#62;20%-35%)</td>
              <td>Highest (&#62;35%)</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="11">
                <bold>Practice structure</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="9">
                <bold>Ownership</bold>
              </td>
              <td>.53</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Independent</td>
              <td>25.4</td>
              <td>27.9</td>
              <td>27.4</td>
              <td>24.6</td>
              <td>21.2</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Physician group</td>
              <td>7.1</td>
              <td>5.6</td>
              <td>9.5</td>
              <td>9.8</td>
              <td>4.1</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Hospital</td>
              <td>15.7</td>
              <td>18.8</td>
              <td>15.4</td>
              <td>9.4</td>
              <td>17.2</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Health system</td>
              <td>37.9</td>
              <td>38.5</td>
              <td>37.4</td>
              <td>40.3</td>
              <td>39.9</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Federally qualified health center or look-alike</td>
              <td>13.6</td>
              <td>8.9</td>
              <td>10</td>
              <td>15.6</td>
              <td>17.4</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="9">
                <bold>Physician count, n</bold>
              </td>
              <td>.05</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>0-4</td>
              <td>39.5</td>
              <td>37.9</td>
              <td>46.7</td>
              <td>27.4</td>
              <td>43.9</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>5-9</td>
              <td>37</td>
              <td>32</td>
              <td>37.4</td>
              <td>52</td>
              <td>30.3</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>10-19</td>
              <td>12.6</td>
              <td>13.8</td>
              <td>9.7</td>
              <td>9.6</td>
              <td>16.7</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>&#62;20</td>
              <td>10.9</td>
              <td>16.3</td>
              <td>6.2</td>
              <td>11</td>
              <td>9.1</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="9">
                <bold>Advanced practice provider (physician assistant, advanced registered practice nurse) count, n</bold>
              </td>
              <td>.04</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Zero</td>
              <td>21.4</td>
              <td>28.8</td>
              <td>24.7</td>
              <td>7.5</td>
              <td>20.3</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>1 or 2</td>
              <td>27.2</td>
              <td>19.7</td>
              <td>34.1</td>
              <td>33.8</td>
              <td>23.7</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>3 or 4</td>
              <td>23.9</td>
              <td>20.8</td>
              <td>21.1</td>
              <td>25</td>
              <td>29.8</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>5 to 10</td>
              <td>18</td>
              <td>17</td>
              <td>12.7</td>
              <td>24.6</td>
              <td>19.5</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>&#62;10 ()</td>
              <td>9.5%</td>
              <td>13.7</td>
              <td>7.5</td>
              <td>9.1</td>
              <td>6.6</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td colspan="11">
                <bold>Practice financial characteristics</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Self-reported poor financial health</td>
              <td>8.7</td>
              <td>8.2</td>
              <td>6.6</td>
              <td>10.5</td>
              <td>10.3</td>
              <td colspan="3">.80</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Current alternative payment model participation<sup>c</sup></td>
              <td>81.5</td>
              <td>78.1</td>
              <td>86</td>
              <td>83.6</td>
              <td>79.5</td>
              <td colspan="3">.51</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Impacted by physician workforce shortages</td>
              <td>56.4</td>
              <td>49.9</td>
              <td>55.1</td>
              <td>57.9</td>
              <td>64.5</td>
              <td colspan="3">.41</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Impacted by staff shortages</td>
              <td>74</td>
              <td>68.4</td>
              <td>73.1</td>
              <td>77.8</td>
              <td>78.5</td>
              <td colspan="3">.33</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="10">
                <bold>Payer mix (&#62;20% of revenue from listed sources)</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Commercial</td>
              <td>84.1</td>
              <td>86.3</td>
              <td>84.1</td>
              <td>80.9</td>
              <td>84.2</td>
              <td colspan="3">.68</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Medicare</td>
              <td>80.3</td>
              <td>88.8</td>
              <td>74.4</td>
              <td>76.1</td>
              <td>79.5</td>
              <td colspan="3">.10</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Medicaid</td>
              <td>34.1</td>
              <td>31.8</td>
              <td>33.4</td>
              <td>35.1</td>
              <td>36.7</td>
              <td colspan="3">.94</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Uninsured</td>
              <td>6.2</td>
              <td>2.9</td>
              <td>6</td>
              <td>8.5</td>
              <td>8.6</td>
              <td colspan="3">.04</td>
            </tr>
            <tr valign="top">
              <td colspan="11">
                <bold>Telehealth enablement factors</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="2">Facilitated telehealth for patients by improving broadband access</td>
              <td>27.7</td>
              <td>19.7</td>
              <td>24.7</td>
              <td>25.7</td>
              <td>42.6</td>
              <td colspan="3">.02</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="2">Facilitated telehealth by assisting or training patients to use telehealth</td>
              <td>70.5</td>
              <td>52.6</td>
              <td>75.7</td>
              <td>74.3</td>
              <td>84.5</td>
              <td colspan="3">&#60;.001</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="2">Platform for video visit integrated with electronic health record</td>
              <td>69.4</td>
              <td>70.2</td>
              <td>69.3</td>
              <td>68.1</td>
              <td>69.7</td>
              <td colspan="3">.99</td>
            </tr>
            <tr valign="top">
              <td colspan="11">
                <bold>Census tract–level indicators</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="2">Practice in a rural location</td>
              <td>7.4</td>
              <td>11.6</td>
              <td>6.1</td>
              <td>7.5</td>
              <td>3.6</td>
              <td colspan="3">.10</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="9">
                <bold>Area Deprivation Index quartile</bold>
              </td>
              <td>.40</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Most deprived</td>
              <td>26.5</td>
              <td>18.1</td>
              <td>27</td>
              <td>24.7</td>
              <td>37.9</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>2nd quartile</td>
              <td>(32.9</td>
              <td>38.8</td>
              <td>29.5</td>
              <td>35.8</td>
              <td>26.5</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>3rd quartile</td>
              <td>22.9</td>
              <td>24.6</td>
              <td>25.3</td>
              <td>22.2</td>
              <td>18.9</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Least deprived</td>
              <td>17.8</td>
              <td>18.6</td>
              <td>18.2</td>
              <td>17.3</td>
              <td>16.7</td>
              <td colspan="3">
                <break/>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td colspan="10">
                <bold>Internet speed measures (Mbps), mean (SD)</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Median download speed</td>
              <td>76 (1.5)</td>
              <td>70 (2.5)</td>
              <td>78 (3.3)</td>
              <td>73 (3.9)</td>
              <td>83 (3.5)</td>
              <td colspan="3">.19</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>
                <break/>
              </td>
              <td>Median upload speed</td>
              <td>16 (0.9)</td>
              <td>15 (1.0)</td>
              <td>17 (1.7)</td>
              <td>14 (1.2)</td>
              <td>18 (2.9)</td>
              <td colspan="3">.39</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table1fn1">
            <p><sup>a</sup>Characteristics are reported as weighted percentages unless otherwise noted. Details on weighting are provided in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>.</p>
          </fn>
          <fn id="table1fn2">
            <p><sup>b</sup>Differences between quartiles; generated via the <italic>χ</italic><sup>2</sup> test with the exception of download and upload speed, which were generated with the adjusted Wald test.</p>
          </fn>
          <fn id="table1fn3">
            <p><sup>c</sup>Includes any engagement in accountable care organization and capitated payment contracts, which are alternatives to fee-for-service billing.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <fig id="figure1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Adjusted Telehealth Use Rates and Audio-Only Telehealth Proportions by Select Factors. Covariates included in the multivariable linear regression model were as follows: practice ownership type, US census region, clinician staffing size, Area Deprivation Index quartile, median download speed at the census tract level, reported financial health, whether a practice reported impacts from staff shortages, alternative (to fee-for-service) payment model participation, and a payer mix that was &#62;20% Medicare. Each covariate was significant in univariate regression at the <italic>P</italic>&#60;.1 level; in preliminary runs when 2 factors had a Spearman correlation coefficient &#62;0.5 or &#60;–0.5, the least significant factor was excluded. EHR: electronic health record.</p>
        </caption>
        <graphic xlink:href="jmir_v27i1e70404_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
      </fig>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>In this national study of primary care practices in 2022, we found that respondent practices serving the uninsured reported greater use of telehealth for patient encounters, and FQHCs used more audio-only telehealth. This suggests that low socioeconomic status populations had a higher need for telehealth and that cuts to audio-only reimbursement would disproportionately impact care for such patients. The “digital divide,” systematic barriers for accessing and using technology and telehealth among various populations [<xref ref-type="bibr" rid="ref3">3</xref>], is a known issue for FQHC and rural populations [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>], and our study provides national evidence that these practice-level factors are significantly associated with lower adoption of video-based telehealth.</p>
      <p>Importantly, we found that the telehealth-enabling practices of training and assisting patients with using telehealth and broadband expansion were associated with higher telehealth adoption. In contrast, electronic health record integration for video visits, participation in alternative payment models that incentivize care quality, and practice ownership were not significant practice-level factors, contrasting with a prior study suggesting health system integration was linked to higher telehealth use at the physician level [<xref ref-type="bibr" rid="ref6">6</xref>].</p>
      <p>Limitations include potential nonresponse bias due to the modest response rate, though we used weights to account for this (sensitivity analyses of missing data are in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>); that telehealth use is reported in aggregate rather than calculated from visit data, so could not be verified; and an inability to draw causal inference from cross-sectional analysis. Longitudinal analyses or controlled trials would provide stronger evidence and be able to describe any changes in significance of the identified factors for telehealth use over time.</p>
      <p>These findings provide important national data for the design of policy and practice interventions to expand telehealth use. Practices focused on enabling telehealth appear able to meaningfully increase its uptake [<xref ref-type="bibr" rid="ref7">7</xref>]. Federally, renewing the lapsed support for broadband accessibility is an important means to address the digital divide [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>].</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Further information on survey administration, analytic datasets, weights, and missing data.</p>
        <media xlink:href="jmir_v27i1e70404_app1.docx" xlink:title="DOCX File , 26 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">APRN</term>
          <def>
            <p>advanced registered practice nurse</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">FQHC</term>
          <def>
            <p>federally qualified health center</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">PA</term>
          <def>
            <p>physician assistant</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The team would like to think Jonathan Skinner, PhD, for his review of a draft of this research letter, and Ching-Wen W Yang, MSPH, for her contributions to the construction of the dataset.</p>
      <p>Research reported in this publication was funded by the Robert Wood Johnson Foundation (78479, 80738, and 81412) and supported by the National Institute on Aging of the National Institutes of Health (R01AG084611). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Robert Wood Johnson Foundation or the National Institutes of Health.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The datasets generated or analyzed during this study are not publicly available due to the need for curating deidentified data, but are available on reasonable request from KES (karen.e.schifferdecker@dartmouth.edu).</p>
      </sec>
    </notes>
    <notes>
      <sec>
        <title>Disclaimer</title>
        <p>The statements, findings, conclusions, views, and opinions contained and expressed in this article are based in part on data obtained under license from IQVIA information services (OneKey subscription information services 2017-2022, IQVIA Inc). The statements, findings, conclusions, views, and opinions contained and expressed herein are not necessarily those of IQVIA Inc or any of its affiliated or subsidiary entities.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>Conceptualization: MM, EF, HPR, SS, KES, ERA</p>
        <p>Data curation: ROS, AB</p>
        <p>Formal analysis: MM</p>
        <p>Funding acquisition: MM, EF, KES</p>
        <p>Investigation: MM, ROS</p>
        <p>Methodology: MM, KES, AJO, ROS</p>
        <p>Project administration: KS, EF, ROS, AB</p>
        <p>Software: MM</p>
        <p>Resources: KES, EF, SS, HPR</p>
        <p>Supervision: EF, KES, SS, HPR</p>
        <p>Validation: MM</p>
        <p>Visualization: MM, EF, HPR</p>
        <p>Writing – original draft: MM, EF</p>
        <p>Writing – review and editing: all</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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