<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="correction"><front><journal-meta><journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id><journal-id journal-id-type="publisher-id">jmir</journal-id><journal-id journal-id-type="index">1</journal-id><journal-title>Journal of Medical Internet Research</journal-title><abbrev-journal-title>J Med Internet Res</abbrev-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">v28i1e110409</article-id><article-id pub-id-type="doi">10.2196/110409</article-id><article-categories><subj-group subj-group-type="heading"><subject>Corrigenda and Addenda</subject></subj-group></article-categories><title-group><article-title>Correction: Telehealth Use and Modality Choice Among US Adults: Shorrocks-Shapley Decomposition of a 2022 Cross-Sectional National Survey</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Bolbocean</surname><given-names>Corneliu</given-names></name><degrees>BA, MA, MPPM, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Hayes</surname><given-names>Corey</given-names></name><degrees>MPH, PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bogulski</surname><given-names>Cari</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib></contrib-group><aff id="aff1"><institution>Nuffield Department of Primary Care Health Sciences, University of Oxford</institution><addr-line>Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd</addr-line><addr-line>Oxford</addr-line><country>United Kingdom</country></aff><aff id="aff2"><institution>Department of Pharmacy Practice, University of Arkansas for Medical Sciences</institution><addr-line>Little Rock</addr-line><addr-line>AR</addr-line><country>United States</country></aff><aff id="aff3"><institution>Department of Biomedical Informatics, College of Medicine, UAMS</institution><addr-line>Little Rock</addr-line><addr-line>AR</addr-line><country>United States</country></aff><author-notes><corresp>Correspondence to Corneliu Bolbocean, BA, MA, MPPM, PhD, Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Rd, Oxford, OX2 6GG, United Kingdom, 44 1865 617855; <email>corneliu.bolbocean@phc.ox.ac.uk</email></corresp></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>15</day><month>10</month><year>2026</year></pub-date><volume>28</volume><elocation-id>e110409</elocation-id><history><date date-type="received"><day>25</day><month>08</month><year>2026</year></date><date date-type="accepted"><day>08</day><month>09</month><year>2026</year></date></history><copyright-statement>&#x00A9; Corneliu Bolbocean, Corey Hayes, Cari Bogulski. Originally published in the Journal of Medical Internet Research (<ext-link ext-link-type="uri" xlink:href="https://www.jmir.org">https://www.jmir.org</ext-link>), 15.10.2026. </copyright-statement><copyright-year>2026</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 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), 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 <ext-link ext-link-type="uri" xlink:href="https://www.jmir.org/">https://www.jmir.org/</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://www.jmir.org/2026/1/e110409"/><related-article related-article-type="corrected-article" ext-link-type="doi" xlink:href="10.2196/81879" xlink:title="Correction of" xlink:type="simple">https://www.jmir.org/2026/1/e81879</related-article></article-meta></front><body><p>In &#x201C;Telehealth Use and Modality Choice Among US Adults: Shorrocks-Shapley Decomposition of a 2022 Cross-Sectional National Survey&#x201D; [<xref ref-type="bibr" rid="ref1">1</xref>], the authors identified errors in the descriptive statistics reported in Table 1 and the Results section.</p><sec id="s2"><title>Corrections to Table 1</title><p>During the standardization of dual-numerator constructions, derived numerators (observed percentages rescaled to full group denominators) were retained in place of the observed unweighted counts in several instances (as shown in <xref ref-type="table" rid="table1">Table 1</xref> of this correction notice). In addition, the Table 1 footnote misdescribed the percentages as survey-weighted.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>The following 16 values in 15 cells have been corrected (all other values are unchanged).</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Row</td><td align="left" valign="bottom">Column</td><td align="left" valign="bottom">Originally published</td><td align="left" valign="bottom">Corrected</td></tr></thead><tbody><tr><td align="left" valign="top">Female, n (%)</td><td align="left" valign="top">Video</td><td align="left" valign="top">1071 (65.3)</td><td align="left" valign="top">1014 (65.3)</td></tr><tr><td align="left" valign="top">Female, n (%)</td><td align="left" valign="top">Audio only</td><td align="left" valign="top">566 (64.6)</td><td align="left" valign="top">532 (64.6)</td></tr><tr><td align="left" valign="top">Female, n (%)</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">2012 (57)</td><td align="left" valign="top">1919 (57.0)</td></tr><tr><td align="left" valign="top">Metropolitan status: Large central metro</td><td align="left" valign="top">Video</td><td align="left" valign="top">684 (41.7)</td><td align="left" valign="top">685 (41.7)</td></tr><tr><td align="left" valign="top">Metropolitan status: Large central metro</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">1220 (34.6)</td><td align="left" valign="top">1221 (34.6)</td></tr><tr><td align="left" valign="top">Income group (US $): High (&#x2265;75,000)</td><td align="left" valign="top">Video</td><td align="left" valign="top">788 (48)</td><td align="left" valign="top">712 (48.0)</td></tr><tr><td align="left" valign="top">Income group (US $): High (&#x2265;75,000)</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">1292 (36.6)</td><td align="left" valign="top">1161 (36.6)</td></tr><tr><td align="left" valign="top">Employed, n (%)</td><td align="left" valign="top">Video</td><td align="left" valign="top">912 (55.6)</td><td align="left" valign="top">866 (55.6)</td></tr><tr><td align="left" valign="top">Employed, n (%)</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">1807 (51.2)</td><td align="left" valign="top">1725 (51.2)</td></tr><tr><td align="left" valign="top">Health insurance, n (%)</td><td align="left" valign="top">Video</td><td align="left" valign="top">1559 (95.1)</td><td align="left" valign="top">1560 (95.1)</td></tr><tr><td align="left" valign="top">Health insurance, n (%)</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">3165 (89.7)</td><td align="left" valign="top">3167 (89.7)</td></tr><tr><td align="left" valign="top">Sought health information online: Yes</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">2294 (65)</td><td align="left" valign="top">2295 (65.0)</td></tr><tr><td align="left" valign="top">Satisfaction with home internet: Satisfied (extremely or very)</td><td align="left" valign="top">Video</td><td align="left" valign="top">1075 (65.5)</td><td align="left" valign="top">1074 (65.4)</td></tr><tr><td align="left" valign="top">Satisfaction with home internet: Satisfied (extremely or very)</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">1789 (50.7)</td><td align="left" valign="top">1790 (50.7)</td></tr><tr><td align="left" valign="top">Device ownership: Any smart device</td><td align="left" valign="top">No telehealth</td><td align="left" valign="top">3091 (87.6)</td><td align="left" valign="top">3092 (87.6)</td></tr></tbody></table></table-wrap><p>These corrections affect the descriptive presentation only. The analytic sample, group definitions, survey-weighted prevalence estimates (27.2%, 12.1%, and 60.7%), the Shorrocks-Shapley decomposition, all regression models (Tables 2 and 3), and all findings and conclusions are unchanged. The Results section is otherwise unchanged; only the numerals listed below have been corrected within otherwise identical sentences.</p><p>In Table 1, the following footnote has been revised:</p><disp-quote><p>n is unweighted and percentage is survey-weighted.</p></disp-quote><p>The footnote now reads:</p><disp-quote><p>A fully corrected Table S1 is provided as a supplementary file (Multimedia Appendix 1) in PDF and LaTeX source formats, with the corrected values shown in bold and all percentages reported to one decimal place.</p></disp-quote></sec><sec id="s3"><title>Corrections to the Results Section</title><p>Under Results, subsection Sample Characteristics by Telehealth Modality, the following sentences were corrected.</p><p>First, the following sentence was revised:</p><disp-quote><p>Video users were younger on average (52.8, SD 16.2 y) than those with no telehealth (56.3, SD 17.1 y) and audio-only users (58.6, SD 16.8 y).</p></disp-quote><p>The sentence now reads:</p><disp-quote><p>Video users were younger on average (52.8, SD 16.5 y) than those with no telehealth (56.3, SD 17.6 y) and audio-only users (58.6, SD 17.6 y).</p></disp-quote><p>The originally published SDs did not match Table 1, which correctly reports 16.46, 17.58, and 17.55.</p><p>Second, the following sentence was revised:</p><disp-quote><p>Women comprised a larger share of video (1071/1641, 65.3%) and audio-only (566/876, 64.6%) users than nonusers (2012/3529, 57%).</p></disp-quote><p>The sentence now reads:</p><disp-quote><p>Women comprised a larger share of video (1014/1554, 65.3%) and audio-only (532/824, 64.6%) users than nonusers (1919/3365, 57%).</p></disp-quote><p>Third, the following sentence was revised:</p><disp-quote><p>Compared with nonusers, video users more frequently reported higher income (788/1641, 48% vs 1292/3529, 36.6% at &#x2265;US $75,000), current employment (912/1641, 55.6% vs 1807/3529, 51.2%), and insurance coverage (1559/1641, 95.1% vs 3165/3529, 90%).</p></disp-quote><p>The sentence now reads:</p><disp-quote><p>Compared with nonusers, video users more frequently reported higher income (712/1482, 48% vs 1161/3173, 36.6% at &#x2265;US $75,000), current employment (866/1557, 55.6% vs 1725/3371, 51.2%), and insurance coverage (1560/1641, 95.1% vs 3167/3529, 89.7%).</p></disp-quote><p>Fourth, the following sentence was revised:</p><disp-quote><p>Digital readiness was notably higher among video users: any smart device ownership (1582/1641, 96.4% vs 3091/3529, 87.6%), health or wellness app use (1103/1641, 67.2% vs 1441/3529, 40.8%), and online health information seeking (1367/1641, 83.3% vs 2294/3529, 65%).</p></disp-quote><p>The sentence now reads:</p><disp-quote><p>Digital readiness was notably higher among video users: any smart device ownership (1582/1641, 96.4% vs 3092/3529, 87.6%), health or wellness app use (1103/1641, 67.2% vs 1441/3529, 40.8%), and online health information seeking (1367/1641, 83.3% vs 2295/3529, 65%).</p></disp-quote><p>Fifth, the following sentence was revised:</p><disp-quote><p>Satisfaction with home internet for health needs was also higher in the video group (1075/1641, 65.5% extremely or very satisfied vs 1789/3529, 50.7% among nonusers).</p></disp-quote><p>The sentence now reads:</p><disp-quote><p>Satisfaction with home internet for health needs was also higher in the video group (1074/1641, 65.4% extremely or very satisfied vs 1790/3529, 50.7% among nonusers).</p></disp-quote><p>Finally, the following sentence was revised:</p><disp-quote><p>Geographic composition differed across modalities, with video visits more common among residents of large central metros (684/1641, 41.7%) and large fringe metro or suburban areas (393/1641, 23.9%) compared with nonusers (1220/3529, 34.6% and 769/3529, 21.8%, respectively).</p></disp-quote><p>The sentence now reads:</p><disp-quote><p>Geographic composition differed across modalities, with video visits more common among residents of large central metros (685/1641, 41.7%) and large fringe metro or suburban areas (393/1641, 23.9%) compared with nonusers (1221/3529, 34.6% and 769/3529, 21.8%, respectively).</p></disp-quote><p>The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.</p></sec></body><back><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bolbocean</surname><given-names>C</given-names> </name><name name-style="western"><surname>Hayes</surname><given-names>C</given-names> </name><name name-style="western"><surname>Bogulski</surname><given-names>C</given-names> </name></person-group><article-title>Telehealth use and modality choice among US adults: Shorrocks-Shapley decomposition of a 2022 cross-sectional national survey</article-title><source>J Med Internet Res</source><year>2026</year><month>03</month><day>18</day><volume>28</volume><fpage>e81879</fpage><pub-id pub-id-type="doi">10.2196/81879</pub-id><pub-id pub-id-type="medline">41849671</pub-id></nlm-citation></ref></ref-list></back></article>