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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR Human Factors</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Hum Factors</journal-id>
      <journal-title>JMIR Human Factors</journal-title>
      <issn pub-type="epub">2292-9495</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">v8i4e27873</article-id>
      <article-id pub-id-type="pmid">34817394</article-id>
      <article-id pub-id-type="doi">10.2196/27873</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>Perceptions of Patients and Physicians on Teleconsultation at Home for Diabetes Mellitus: Survey Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Kushniruk</surname>
            <given-names>Andre</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ciorap</surname>
            <given-names>Radu</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Suomi</surname>
            <given-names>Reima</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Murphie</surname>
            <given-names>Phyllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Rego</surname>
            <given-names>Nazaré</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Escola de Economia e Gestão</institution>
            <institution>Universidade do Minho</institution>
            <addr-line>Campus de Gualtar</addr-line>
            <addr-line>Braga, 4710 - ​057</addr-line>
            <country>Portugal</country>
            <phone>351 253604565</phone>
            <email>nazare@eeg.uminho.pt</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1237-3029</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Pereira</surname>
            <given-names>Helena Silva</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7203-374X</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Crispim</surname>
            <given-names>José</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8876-1258</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Escola de Economia e Gestão</institution>
        <institution>Universidade do Minho</institution>
        <addr-line>Braga</addr-line>
        <country>Portugal</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Institute for Systems and Computer Engineering, Technology, and Science (INESC TEC)</institution>
        <addr-line>Porto</addr-line>
        <country>Portugal</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Núcleo de Investigação em Políticas Económicas e Empresariais (NIPE)</institution>
        <institution>Escola de Economia e Gestão</institution>
        <institution>Universidade do Minho</institution>
        <addr-line>Braga</addr-line>
        <country>Portugal</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Nazaré Rego <email>nazare@eeg.uminho.pt</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <season>Oct-Dec</season>
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>23</day>
        <month>11</month>
        <year>2021</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>e27873</elocation-id>
      <history>
        <date date-type="received">
          <day>10</day>
          <month>2</month>
          <year>2021</year>
        </date>
        <date date-type="rev-request">
          <day>10</day>
          <month>7</month>
          <year>2021</year>
        </date>
        <date date-type="rev-recd">
          <day>22</day>
          <month>7</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>23</day>
          <month>7</month>
          <year>2021</year>
        </date>
      </history>
      <copyright-statement>©Nazaré Rego, Helena Silva Pereira, José Crispim. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 23.11.2021.</copyright-statement>
      <copyright-year>2021</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 JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://humanfactors.jmir.org/2021/4/e27873" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Diabetes mellitus (DM) is one of the most challenging diseases in the 21st century and is the sixth leading cause of death. Telemedicine has increasingly been implemented in the care of patients with DM. Although teleconsultations at home have shown to be more effective for inducing HbA<sub>1c</sub> reduction than other telemedicine options, before the 2019 coronavirus disease crisis, their use had been lagging behind. Studies on physicians’ or patients’ perceptions about telemedicine have been performed independently of each other, and very few have focused on teleconsultations. In a time of great pressure for health systems and when an important portion of health care has to be assured at a distance, obtaining insights about teleconsultations at home from the stakeholders directly involved in the health care interaction is particularly important.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>The perceptions of patients and physicians about their intentions to use home synchronous teleconsultations for DM care are examined to identify drivers and barriers inherent to programs that involve home teleconsultations.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>Two identical questionnaires integrating the technology acceptance model and the unified theory of acceptance and use of technology and assessing the confidence in information and communication technology use of patients and physicians were developed. Responses by patients (n=75) and physicians (n=68) were analyzed using canonical correlation analysis.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Associations between predictor constructs (performance, effort, social influence, facilitating conditions, and attitude) and intention to use yielded significant functions, with a canonical <italic>R</italic><sup>2</sup> of 0.95 (for physicians) and 0.98 (patients). The main identified barriers to patient intention to use were the expected effort to explain the medical problem, and privacy and confidentiality issues. The major drivers were the facilitation of contact with the physician, which is beneficial to patient disease management and treatment, time savings, and reciprocity concerning physicians’ willingness to perform teleconsultations. Responses from physicians revealed an association between intention to use and the expected performance of home teleconsultations. The major barrier to intention to use expressed in physicians’ answers was doubts concerning the quality of patient examination. The major drivers were time savings, productivity increases, improvements in patient’s health and patient management, National Health System costs reduction, and reciprocity relative to patients’ willingness to engage in teleconsultations.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>To promote the use of home teleconsultations for DM, decision makers should improve patients’ health literacy so the physician–patient communication is more effective; explore information and communication technology developments to reduce current limitations of non–face-to-face examinations; ensure patient privacy and data confidentiality; and demonstrate the capabilities of home teleconsultations to physicians.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>teleconsultation</kwd>
        <kwd>diabetes mellitus</kwd>
        <kwd>telemedicine</kwd>
        <kwd>eHealth</kwd>
        <kwd>mobile phone</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>Diabetes mellitus (DM) is one of the most challenging diseases in the 21st century. It is the sixth leading cause of death globally [<xref ref-type="bibr" rid="ref1">1</xref>] and continues to increase in prevalence, with macro-and microvascular complications resulting in increased disability and huge health care costs [<xref ref-type="bibr" rid="ref2">2</xref>].</p>
        <p>In Portugal, there were 591-699 new cases of diabetes per 100,000 inhabitants in 2015, representing an expense of 0.7%-0.9% of the Portuguese gross domestic product, and 8%-10% of the total spending on health [<xref ref-type="bibr" rid="ref3">3</xref>]. The country has one of the highest age-adjusted prevalence of diagnosed type 1 or 2 diabetes in the population aged 20 to 79 years in Europe (9.8%) [<xref ref-type="bibr" rid="ref4">4</xref>].</p>
        <p>Telemedicine includes remote patient monitoring using devices (eg, mobile apps) to remotely collect and send data to health care providers, asynchronous interactions to transmit diagnostic images, vital signs, or video clips, along with patient data for later review, and synchronous live videoconferencing consultation among patients and physicians (eg, teleconsultations) or among physicians and specialist health services [<xref ref-type="bibr" rid="ref5">5</xref>]. Information and communication technology (ICT) has been increasingly implemented in the care of people with DM to improve patient outcomes in areas such as blood glucose management, diet, medication, and exercise monitoring [<xref ref-type="bibr" rid="ref6">6</xref>]. Although (remote) teleconsultations at home (TH) have been found to be more effective in inducing HbA<sub>1c</sub> reduction when compared with other telemedicine services, such as remote telemonitoring, tele-education, and telecase management, they have been much less adopted than other forms of telemedicine in type 2 DM care [<xref ref-type="bibr" rid="ref7">7</xref>]. Real-world data show that, before the COVID-19, teleconsultation appointments as a proportion of clinical activity ranged from 2% among a diabetic cohort to 22% among postoperative patients with hepatobiliary cancer [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. In Spain, teleconsultations were used by only 7 (6.9%) of the 102 that used telemedicine in a sample of 1063 patients with type 2 DM, but obtained the highest rate of satisfaction [<xref ref-type="bibr" rid="ref10">10</xref>]. Studies on teleconsultation in DM are scarce (eg, [<xref ref-type="bibr" rid="ref11">11</xref>-<xref ref-type="bibr" rid="ref14">14</xref>]). Given the use level and care potential of synchronous TH, this study investigated the necessary conditions to encourage their use.</p>
        <p>Studies on physicians’ (eg, [<xref ref-type="bibr" rid="ref15">15</xref>]) or patients’ perceptions (eg, [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]) about telemedicine have been performed independently of each other. As both groups are essential to the use of these services, this study surveyed the perceptions of the two using an identical data collection instrument and compared the results of the analysis of their responses. Identical questionnaires for both patients and physicians were used because, according to the literature [<xref ref-type="bibr" rid="ref17">17</xref>], the factors affecting their willingness to adopt teleconsultations were the same. A canonical correlation analysis (CCA) was performed to find associations among a set of predictor constructs derived from the technology adoption literature and the <italic>intention of use</italic> (<italic>IoU</italic>) of TH by patients with DM and their physicians. CCA is a multivariate statistical technique used to study the interrelationships among sets of multiple dependent and independent variables [<xref ref-type="bibr" rid="ref18">18</xref>]. It is an appropriate and powerful multivariate technique to identify the underlying independent relationship between the 2 sets of variables of the studied model because of the high number of variables in each construct.</p>
      </sec>
      <sec>
        <title>Objective</title>
        <p>In summary, this study assesses the perspective of patients with DM and physicians regarding the drivers and barriers inherent to programs that involve patients with DM teleconsulting with their physicians from their homes.</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Research Model</title>
        <sec>
          <title>Overview</title>
          <p>The questionnaires for both populations were based on the integration of the technology acceptance model (TAM) [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>] and the unified theory of technology of acceptance and use (UTAUT) [<xref ref-type="bibr" rid="ref21">21</xref>]. The full version of the data collection instruments (in Portuguese) can be seen in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref> [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref21">21</xref>-<xref ref-type="bibr" rid="ref25">25</xref>]; the English translation of the questions can be implied from the row titles of the table in <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref> [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref26">26</xref>-<xref ref-type="bibr" rid="ref31">31</xref>].</p>
          <p>According to Davis [<xref ref-type="bibr" rid="ref19">19</xref>], an individual tends to use (or not use) a new technology if they identify an improvement in their professional performance. That is, if he or she easily identifies the <italic>perceived utility</italic>. However, the author states that the usefulness of that technology will only be recognized if the effort to learn how to use it is not very high, that is, if the use of the technology compensates for the learning effort—<italic>perceived ease of use</italic>. The TAM uses these 2 main constructs to influence the actual use of technology. Both have an independent effect on <italic>IoU</italic>, as people form intentions to adopt certain behaviors that can improve their performance at work if the effort required to learn a new technology is not considerable [<xref ref-type="bibr" rid="ref19">19</xref>-<xref ref-type="bibr" rid="ref21">21</xref>].</p>
          <p>Yarbrough and Smith [<xref ref-type="bibr" rid="ref32">32</xref>] and Holden and Karsh [<xref ref-type="bibr" rid="ref26">26</xref>] reviewed articles on the applicability of TAM in health, reaching similar conclusions; the constructs have been repeatedly validated and the variance of the dependent variable <italic>IoU</italic> or <italic>actual use of technology</italic> has been widely explained (between 40% and 70%, depending on the study).</p>
          <p>However, TAM is not very sensitive in identifying barriers to the acceptance of technology, which may influence all TAM variables. Thus, new theories explaining the acceptance of technology have emerged. One of these theories is the UTAUT, developed by Venkatesh et al [<xref ref-type="bibr" rid="ref21">21</xref>]. UTAUT integrates the essential constructs of 8 models of technology and considers 4 constructs that directly influence the intention to use the technology: <italic>expected performance</italic> (P), <italic>expected effort</italic> (E), <italic>social influence</italic> (S), and <italic>facilitating conditions</italic> (F). The research model of this study (<xref rid="figure1" ref-type="fig">Figure 1</xref>) integrates TAM with UTAUT, adding an <italic>attitude</italic> construct [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]. In addition, we tested whether <italic>confidence in ICT use</italic> [<xref ref-type="bibr" rid="ref27">27</xref>] and <italic>demographic characteristics</italic> were associated with <italic>attitude</italic>. An eventual relationship between gender and <italic>attitude</italic> was explored, and it was hypothesized that a younger age and higher qualifications could favor <italic>attitude</italic> [<xref ref-type="bibr" rid="ref34">34</xref>].</p>
          <fig id="figure1" position="float">
            <label>Figure 1</label>
            <caption>
              <p>Research model. ICT: information and communication technology.</p>
            </caption>
            <graphic xlink:href="humanfactors_v8i4e27873_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
        <sec>
          <title>Hypotheses</title>
          <list list-type="bullet">
            <list-item>
              <p>H1: Do the predictors derived from the literature positively influence the IoU of TH? (suphypotheses in <xref ref-type="table" rid="table1">Table 1</xref>).</p>
            </list-item>
            <list-item>
              <p>H2: Do the predictors derived from the literature positively influence attitude (suphypotheses in <xref ref-type="table" rid="table2">Table 2</xref>).</p>
            </list-item>
          </list>
          <p>The analysis of associations among constructs resulted in the identification of major drivers and barriers to DM (synchronous) TH.</p>
          <table-wrap position="float" id="table1">
            <label>Table 1</label>
            <caption>
              <p>Subhypotheses of hypothesis 1.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="180"/>
              <col width="230"/>
              <col width="590"/>
              <thead>
                <tr valign="top">
                  <td>Subhypotheses</td>
                  <td>Predictor</td>
                  <td>Effect</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>H11</td>
                  <td>Attitude</td>
                  <td>Positively influences the <italic>intention of use</italic> of teleconsultations at home</td>
                </tr>
                <tr valign="top">
                  <td>H12</td>
                  <td>Expected performance</td>
                  <td>Positively influences the <italic>intention of use</italic> of teleconsultations at home</td>
                </tr>
                <tr valign="top">
                  <td>H13</td>
                  <td>Expected effort</td>
                  <td>Positively influences the <italic>intention of use</italic> of teleconsultations at home</td>
                </tr>
                <tr valign="top">
                  <td>H14</td>
                  <td>Social influence</td>
                  <td>Positively influences the <italic>intention of use</italic> of teleconsultations at home</td>
                </tr>
                <tr valign="top">
                  <td>H15</td>
                  <td>Facilitating conditions</td>
                  <td>Positively influences the <italic>intention of use</italic> of teleconsultations at home</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table2">
            <label>Table 2</label>
            <caption>
              <p>Subhypotheses of hypothesis 2.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="180"/>
              <col width="480"/>
              <col width="340"/>
              <thead>
                <tr valign="top">
                  <td>Subhypotheses</td>
                  <td>Predictor</td>
                  <td>Effect</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>H21</td>
                  <td>Expected performance</td>
                  <td>Positively influences <italic>attitude</italic></td>
                </tr>
                <tr valign="top">
                  <td>H22</td>
                  <td>Expected effort (ie, perceived ease of use [<xref ref-type="bibr" rid="ref20">20</xref>])</td>
                  <td>Positively influences <italic>attitude</italic></td>
                </tr>
                <tr valign="top">
                  <td>H23</td>
                  <td>Demographic characteristics</td>
                  <td>Positively influences <italic>attitude</italic></td>
                </tr>
                <tr valign="top">
                  <td>H24</td>
                  <td>Confidence in information and communication technology use</td>
                  <td>Positively influences <italic>attitude</italic></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
      </sec>
      <sec>
        <title>Sample and Scales</title>
        <p>Data were collected from patients with type 1 or 2 diabetes or their caregivers, in case of child patients (75 valid responses) and physicians (68 valid responses) selected by rational choice and snowball sampling (as highly specific populations were at stake) from the north of Portugal during the fourth quarter of 2018. Concerning the patients, 51 questionnaire answers (51/75, 68% of total valid answers) were collected in-person and in paper at primary care centers belonging to the Group of Primary Care Centres of Braga, an organization that coordinates 22 primary care centers; the other were collected on web through DM patients’ associations. For physicians, the answers were collected on web with the collaboration of the same group of primary care centers. This organization sent an email with a link to the questionnaire to their physicians.</p>
        <p>The perceptions of both groups were measured using 2 identical questionnaires based on a 7-point concordance Likert scale and a 5-point confidence Likert scale (<xref ref-type="app" rid="app2">Multimedia Appendix 2</xref>).</p>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Characteristics of the samples.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="380"/>
            <col width="310"/>
            <col width="280"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Characteristics</td>
                <td>Patients (or caregivers; n=75) n (%)</td>
                <td>Physicians (n=68), n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="3">
                  <bold>Type of respondent</bold>
                </td>
                <td>N/A<sup>a</sup></td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Patient</td>
                <td>61 (81)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Caregiver</td>
                <td>14 (19)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Gender</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Female</td>
                <td>38 (51)</td>
                <td>47 (69)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Male</td>
                <td>37 (49)</td>
                <td>21 (31)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Education</bold>
                </td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Basic or less</td>
                <td>33 (44)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Secondary</td>
                <td>16 (21)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Bachelor</td>
                <td>8 (21)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Master</td>
                <td>7 (9)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Opted to not respond</td>
                <td>11 (15)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Medical specialty</bold>
                </td>
                <td>N/A</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>General practitioner</td>
                <td>
                  <break/>
                </td>
                <td>52 (77)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td>
                  <break/>
                </td>
                <td>16 (23)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Financial situation (ability to live with monthly budget)</bold>
                </td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Faces difficulties</td>
                <td>8 (11)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Needs to manage carefully</td>
                <td>25 (33)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Can go through</td>
                <td>25 (33)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Goes through easily</td>
                <td>14 (19)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Goes through very easily</td>
                <td>3 (4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>DM<sup>b</sup> type</bold>
                </td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>1</td>
                <td>29 (39)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2</td>
                <td>44 (59)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td>2 (3)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Treatments or disease control</bold>
                </td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Oral antihyperglycemic</td>
                <td>42 (56)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Insulin</td>
                <td>36 (48)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Antihypertensive</td>
                <td>35 (73)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Antidyslipidemia</td>
                <td>31 (41)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Physical exercise</td>
                <td>41 (55)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Diet</td>
                <td>44 (59)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Daily auto monitoring of the disease</td>
                <td>35 (73)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Local for DM consultations</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Primary care center (public)</td>
                <td>52 (69)</td>
                <td>52 (77)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Public hospital</td>
                <td>34 (45)</td>
                <td>21 (31)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Private hospital</td>
                <td>8 (11)</td>
                <td>8 (12)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other (private)</td>
                <td>3 (4)</td>
                <td>3 (4)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Mode of transport to consultations</bold>
                </td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>By car</td>
                <td>50 (67)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>By bus</td>
                <td>21 (28)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>On foot</td>
                <td>19 (26)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td>3 (4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Electronic devices use</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Computer</td>
                <td>28 (37)</td>
                <td>60 (88)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Laptop</td>
                <td>35 (47)</td>
                <td>30 (44)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Tablet</td>
                <td>17 (23)</td>
                <td>15 (22)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Smartphone</td>
                <td>67 (90)</td>
                <td>49 (72)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>None</td>
                <td>6 (8)</td>
                <td>0 (0)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Use of app for real-time video call</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Never used</td>
                <td>28 (37)</td>
                <td>6 (9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rarely</td>
                <td>15 (20)</td>
                <td>26 (38)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Once per month</td>
                <td>7 (9)</td>
                <td>12 (18)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Once per week</td>
                <td>7 (9)</td>
                <td>5 (7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Several times in a week</td>
                <td>7 (9)</td>
                <td>9 (13)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Everyday</td>
                <td>11 (15)</td>
                <td>10 (15)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>N/A: not applicable.</p>
            </fn>
            <fn id="table3fn2">
              <p><sup>b</sup>DM: diabetes mellitus.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Data Analysis</title>
        <p>CCA was used to analyze the correlation between the set of dependent variables (<italic>IoU</italic> construct) and the set of predictor constructs. This method is useful when variables have multiple causes and effects, similar to the complex reality of human behavior and cognition. The computations were performed using SPSS (version 24.0; IBM Corp).</p>
        <p>The average of the observed values is often used to form the constructs with consequent smoothing of the responses, which can lead to constructs that do not contain the variability expressed in the measurement indicators. CCA examines the relationship between the 2 observed variable sets without having this disadvantage.</p>
        <p>Variables with a canonical correlation of 0.45 or above were considered in the final CCA model. The reliability statistics measured by Cronbach α for each construct scale were very good for <italic>expected performance</italic> (.87 for physicians and .83 for patients), <italic>facilitating conditions</italic> (.77 for physicians and .74 for patients), <italic>attitude</italic> (.83 for physicians and .82 for patients), and <italic>IoU</italic> (.91 for physicians and .78 for patients), and acceptable for <italic>expected effort</italic> (.60 for physicians and .56 for patients), and <italic>social influence</italic> (.62 for physicians and .56 for patients).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Sample Characteristics</title>
        <p>Survey responses of 75 patients (<xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>) aged 10-86 years (mean 51, SD 17.1) were obtained. Of the 75 respondents, 6 (8%) had never used computers, smartphones, or tablets (<xref ref-type="table" rid="table3">Table 3</xref>). The average age of these 6 patients was 73 (SD 8.9, range 61-84) years. On average, patients had 3.1 DM consultations per year (range: 1-12). According to the respondents, DM consultations took 133 minutes on average (including travel and waiting). Of the 75 respondents, 33 (44%) patients or caregivers felt very or extremely confident and 12 (16%), moderately confident using computers or the internet. Moreover, 40% (30/75) were very or extremely confident and 24% (18/75) were moderately confident in the use of real-time video call apps. More than half had heard about telemedicine (43/75, 57% of patients) and 30% (23/75) about teleconsultations, but only 2 had participated in one in real time, and 37% (28/75) had never used an app to make a real-time video call.</p>
        <p>In total, 68 valid responses from physicians aged 25-63 years (47/68, 69% of physicians in the interval 26-35 years) were received. Of the 68 respondents, 46 (67%) performed between 10 and 40 consultations per month, with an average duration of 23 minutes. Only 6 (9%) out of 68 physicians had never used a video call app. Moreover, 81% (55/68) felt very or extremely confident and 19% (13/68) moderately confident using computers or the internet, and 54% (37/68) were very or extremely confident. Furthermore, 28% (19/68) were moderately confident in the use of real-time video call apps. Of the 68 respondents, 33 (48.5%) physicians had never heard of TH, and 8 (12%) had already carried out synchronous teleconsultations. Although 56% (38/68) of physicians stated that they intended to use TH in follow-up consultations, 34% (25/68) answered that they would not use TH because they did not consider them a good method for health provision.</p>
        <p>The distribution of concordance scores showed a significant variability in both groups. Wilcoxon Mann-Whitney tests identified differences between physicians and patients’ responses. Physicians had higher confidence in ICT use, but they also had higher scores for item E<sub>3</sub>—<italic>Will only use TH if easy to learn</italic> and S<sub>1</sub>—<italic>if there was technical assistance</italic>. Patients had (1) in general, a more favorable <italic>attitude</italic> toward TH, and higher scores in the perception that (2) <italic>TH can invade their privacy</italic> (<italic>F</italic><sub>3</sub>), but (3) <italic>be faster</italic> (P<sub>1</sub>), (4) <italic>the medical problem can be correctly understood</italic> (E<sub>1</sub>) in a TH, and (5) <italic>will have TH whenever the counterpart wants to</italic> (S<sub>3</sub>).</p>
        <p>Both patients and physicians considered follow-up to be the best purpose for TH (<xref rid="figure2" ref-type="fig">Figure 2</xref>).</p>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Intention of use or suitability by type of consultation.</p>
          </caption>
          <graphic xlink:href="humanfactors_v8i4e27873_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Hypotheses Testing</title>
        <sec>
          <title>H1: Predictors Positively Influence the IoU of TH</title>
          <sec>
            <title>Overview</title>
            <p>For both physicians and patients, at least one variable of the predictors is associated with <italic>IoU</italic> variables (H11, H12, H13, H14, and H15 cannot be rejected).</p>
            <p><xref rid="figure3" ref-type="fig">Figure 3</xref> shows the association between the latent variable <italic>IoU</italic> and the related covariate set of variables (predictors). <xref ref-type="table" rid="table4">Tables 4</xref> and <xref ref-type="table" rid="table5">5</xref> present a validation, through comparison with the literature, of the revealed associations.</p>
            <fig id="figure3" position="float">
              <label>Figure 3</label>
              <caption>
                <p>Canonical associations between predictors and intention of use. CCA: canonical correlation analysis.</p>
              </caption>
              <graphic xlink:href="humanfactors_v8i4e27873_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
            </fig>
            <table-wrap position="float" id="table4">
              <label>Table 4</label>
              <caption>
                <p>Validation of the revealed associations for patients.</p>
              </caption>
              <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
                <col width="30"/>
                <col width="210"/>
                <col width="0"/>
                <col width="260"/>
                <col width="0"/>
                <col width="500"/>
                <thead>
                  <tr valign="top">
                    <td colspan="3">Canonical correlation analysis association</td>
                    <td colspan="2">Variable</td>
                    <td>Literature</td>
                  </tr>
                </thead>
                <tbody>
                  <tr valign="top">
                    <td colspan="6">
                      <bold>Primary contributors</bold>
                    </td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Expected effort—IoU<sup>a</sup></td>
                    <td colspan="2">E<sub>2</sub> (I can explain my medical problems using the computer)</td>
                    <td colspan="2">Several studies found that the medium allowed patients to <italic>open up</italic> more than face-to-face consultations and that they felt empowered to ask more questions [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Social influence—IoU</td>
                    <td colspan="2">S<sub>3</sub> (I’ll do teleconsultations whenever the physician wants to)</td>
                    <td colspan="2">To boost use, physician support and recommendation is necessary [<xref ref-type="bibr" rid="ref10">10</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Facilitating conditions—IoU</td>
                    <td colspan="2">F<sub>2</sub> (beneficial in my management of my disease)</td>
                    <td colspan="2">In Spain, most patients with type 2 diabetes (73.6%) considered that the use of telemedicine had optimized (quite a bit or a lot) the management of their disease [<xref ref-type="bibr" rid="ref10">10</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Attitude—IoU</td>
                    <td colspan="2">A<sub>7</sub> (will not increase the provision of health care services)</td>
                    <td colspan="2">Several studies found that patients were satisfied with teleconsultations, but also that they would still want the option to attend in person as they believe it to be the <italic>gold standard</italic> [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td colspan="6">
                      <bold>Secondary contributors</bold>
                    </td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Expected performance—IoU</td>
                    <td colspan="2">P<sub>8</sub> (allows me to save my time)</td>
                    <td colspan="2">Waiting times were shorter for patients seen by teleconsultation than in face-to-face consultation as they bypassed the normal admission processes [<xref ref-type="bibr" rid="ref38">38</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="5">
                    Effort expectancy—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="2">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">E<sub>1</sub> (physician can correctly understand my medical problem)</td>
                    <td colspan="2">Physical examination has become a ritual, expected, and performed as tradition rather than clinical usefulness [<xref ref-type="bibr" rid="ref39">39</xref>]. For the time being, teleconsultations in outpatient settings are most likely to be confine to dialogue-based consultations where the need for rigorous physical examination is absent [<xref ref-type="bibr" rid="ref8">8</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">E<sub>3</sub> (perceived as being easy to learn)</td>
                    <td colspan="2">The patients were very satisfied with the technology, no major problems with its use; nearly 100% of patients reported that they would use it again and recommend it [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="5">
                    Facilitating conditions—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="3">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">F<sub>1</sub> (can facilitate contact with the physician)</td>
                    <td colspan="2">Several studies found that improved access to care was associated with patient satisfaction [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">
                      <italic>F</italic>
                      <sub>3</sub>
                      <italic>(can invade patient’s privacy)</italic>
                      <sup>b</sup>
                    </td>
                    <td colspan="2">In a study of a teenaged population, parents are worried that the connection might not be secure enough to ensure privacy and patients fear that they might be overheard by family [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">F<sub>4</sub> (will not interfere with confidentiality of my health data)</td>
                    <td colspan="2">The need to ensure the security and confidentiality of patient records diminishes the preference for and use of telemedicine technology [<xref ref-type="bibr" rid="ref41">41</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="5">
                    Attitude—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="3">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">A<sub>1</sub> (it is a good way to provide health care services)</td>
                    <td colspan="2">In the United Kingdom, teleconsultations for acute stroke management had item values (like morbidity, mortality, and discharge rates) comparable with national standards [<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref43">43</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">
                      <italic>A</italic>
                      <sub>3</sub>
                      <italic>(it is unpleasant to use teleconsultations at home)</italic>
                    </td>
                    <td colspan="2">Several studies found that patients were satisfied with teleconsultations but also that they would still want the option to attend in person as they believe it to be the <italic>gold standard</italic> [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="2">A<sub>5</sub> (teleconsultations at home can be a supplemental health care service)</td>
                    <td colspan="2">Several studies found that patients were satisfied with teleconsultations but also that they would still want the option to attend in person as they believe it to be the <italic>gold standard</italic> [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]</td>
                  </tr>
                </tbody>
              </table>
              <table-wrap-foot>
                <fn id="table4fn1">
                  <p><sup>a</sup>IoU: intention of use.</p>
                </fn>
                <fn id="table4fn2">
                  <p><sup>b</sup>Variables in <italic>italic</italic> had a negative sign in the predictors set.</p>
                </fn>
              </table-wrap-foot>
            </table-wrap>
            <table-wrap position="float" id="table5">
              <label>Table 5</label>
              <caption>
                <p>Validation of the revealed associations for physicians.</p>
              </caption>
              <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
                <col width="30"/>
                <col width="210"/>
                <col width="260"/>
                <col width="500"/>
                <thead>
                  <tr valign="top">
                    <td colspan="2">Canonical correlation analysis association</td>
                    <td>Variable</td>
                    <td>Literature</td>
                  </tr>
                </thead>
                <tbody>
                  <tr valign="top">
                    <td colspan="4">
                      <bold>Primary contributors</bold>
                    </td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="3">
                    Expected performance—IoU<sup>a</sup>
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="4">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td>P<sub>2</sub> (improve my productivity)</td>
                    <td>Benger et al [<xref ref-type="bibr" rid="ref38">38</xref>] refer that teleconsultations are as much as 4 times as long as their face-to-face equivalent; however more recent studies, found them to be shorter in length (eg, [<xref ref-type="bibr" rid="ref9">9</xref>])</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>P<sub>3</sub> (improves management of patient care)</td>
                    <td>Workload can be classified as the biggest workflow-related concern, as it was overrepresented in the results, being addressed in 12 of the 23 studies analyzed in the systematic literature review by Granja et al [<xref ref-type="bibr" rid="ref44">44</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>P<sub>4</sub> (improves the patient’s health)</td>
                    <td>Telehealth is a safe option for delivery of self-management support [<xref ref-type="bibr" rid="ref45">45</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>P<sub>6</sub> (improve the effectiveness of my work)</td>
                    <td>Several examples of real-world evaluations of working teleconsultation services have demonstrated that they can achieve meaningful reductions in did not attend (DNA) rates [<xref ref-type="bibr" rid="ref46">46</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Social influence—IoU</td>
                    <td>S<sub>3</sub> (I’ll do teleconsultations whenever the patient wants to)</td>
                    <td>The literature emphasizes the role of physicians in promoting telemedicine use [<xref ref-type="bibr" rid="ref10">10</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="3">
                    Facilitating conditions—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="3">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td>F<sub>2</sub> (beneficial in my patient management and treatment)</td>
                    <td>DNA rates were lower (13% vs 28%) and HbA<sub>1c</sub> control improved in patients that chose to attend by teleconsultation [<xref ref-type="bibr" rid="ref47">47</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>F<sub>4</sub> (will not interfere with confidentiality of the patient’s health data)</td>
                    <td>Lack of policies that guarantee the patient’s privacy and confidentiality when using and transferring information, lack of authentication by health professionals, and lack of attribution of responsibility for the quality of services are barriers to the adoption of telemedicine in health services [<xref ref-type="bibr" rid="ref48">48</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>F<sub>5</sub> (may reduce the costs of the National Health System)</td>
                    <td>In the past, the use of telemedicine was strongly dependent of technology costs (eg, [<xref ref-type="bibr" rid="ref49">49</xref>]). Nowadays, technology allows cost savings: a report on telehealth services in Scotland found that teleconsultations for a 10-week rehabilitation course could be delivered for 3% to 10% of the cost associated with an outreach model (in which the therapist travels) or a centralized model (in which the patient travels), with savings primarily being delivered through reduced travel costs [<xref ref-type="bibr" rid="ref50">50</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="3">
                    Attitude—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="5">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td>A<sub>1</sub> (good way of providing health care services)</td>
                    <td>O’Cathail et al [<xref ref-type="bibr" rid="ref8">8</xref>] summarize contradictory studies: some show that physicians lack confidence in their teleconsultation diagnosis; others assessed the concordance of diagnosis in both an inpatient and outpatient setting in neurology and found 96%-100% of cases were accurately diagnosed and managed via teleconsultation</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>A<sub>2</sub> (it is a good idea to use teleconsultations at home)</td>
                    <td>Amid the COVID-19 pandemic: patients can keep in touch with their routine physicians via teleconsultations; physicians could ensure drug compliance; educate patients and their caregivers; make patients aware of the common symptoms of hypoglycemia; and help patients cope with psychological problems [<xref ref-type="bibr" rid="ref51">51</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>
                      <italic>A</italic>
                      <sub>3</sub>
                      <italic>(it is unpleasant to use teleconsultations at home)</italic>
                      <sup>b</sup>
                    </td>
                    <td>The opening phase of the consultation was found to be unfamiliar, leading to interruptions and apologies on both sides whereas a dialogue flow was established [<xref ref-type="bibr" rid="ref52">52</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>A<sub>4</sub> (teleconsultation will be a common method in the future)</td>
                    <td>
                      <italic>No literature exploring this specific variable association was found</italic>
                    </td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>A<sub>5</sub> (teleconsultations at home can be a supplemental health care service)</td>
                    <td>In some cases, the inability to perform some aspects of physical examination is likely to restrict video outpatient teleconsultations utility for more <italic>routine</italic> outpatient appointments [<xref ref-type="bibr" rid="ref9">9</xref>]</td>
                  </tr>
                  <tr valign="top">
                    <td colspan="4">
                      <bold>Secondary contributors</bold>
                    </td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="3">
                    Expected performance—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="2">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td>P<sub>1</sub> (I will be able to complete the patient’s medical consultation more quickly)</td>
                    <td>According to Benger et al [<xref ref-type="bibr" rid="ref38">38</xref>], teleconsultations were, on average, almost twice as long as their face-to-face equivalent. However, more recent studies found them to be shorter (eg, [<xref ref-type="bibr" rid="ref9">9</xref>])</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>P<sub>5</sub> (I will be able to examine the patient as well as I would during face-to-face consultations)</td>
                    <td>O’Cathail et al [<xref ref-type="bibr" rid="ref8">8</xref>] review shows that: (1) a lack of confidence on teleconsultation diagnosis exists among professionals, (2) studies in neurology assessed the concordance of diagnosis in both an inpatient and outpatient setting and found that 96%-100% of cases were accurately diagnosed and managed via teleconsultation</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>Expected effort—IoU</td>
                    <td>E<sub>1</sub> (I can understand the medical problem correctly)</td>
                    <td>O’Cathail et al [<xref ref-type="bibr" rid="ref8">8</xref>] review shows that: (1) a lack of confidence on teleconsultation diagnosis exists among professionals, (2) studies in neurology assessed the concordance of diagnosis in both an inpatient and outpatient setting and found that 96%-100% of cases were accurately diagnosed and managed via teleconsultation</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td colspan="3">
                    Facilitating conditions—IoU
                  </td>
                  </tr>
                  <tr valign="top">
                    <td rowspan="2">
                      <break/>
                    </td>
                    <td>
                      <break/>
                    </td>
                    <td>F<sub>1</sub> (teleconsultations at home facilitate contact with the patient)</td>
                    <td>Morris et al [<xref ref-type="bibr" rid="ref47">47</xref>] show that, among a diabetic cohort, teleconsultation improved the DNA rate from 28% to 13% and HbA<sub>1c</sub> control</td>
                  </tr>
                  <tr valign="top">
                    <td>
                      <break/>
                    </td>
                    <td>
                      <italic>F</italic>
                      <sub>3</sub>
                      <italic>(teleconsultations at home can invade patient’s privacy)</italic>
                    </td>
                    <td>Some health professionals thought teleconsultations were an invasion of patients’ personal space [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
                  </tr>
                </tbody>
              </table>
              <table-wrap-foot>
                <fn id="table5fn1">
                  <p><sup>a</sup>IoU: intention of use.</p>
                </fn>
                <fn id="table5fn2">
                  <p><sup>b</sup>Variables in <italic>italic</italic> had a negative sign in the predictors set.</p>
                </fn>
              </table-wrap-foot>
            </table-wrap>
          </sec>
          <sec>
            <title>Patients</title>
            <p>The analysis between the set of predictor variables and <italic>IoU</italic> yielded one significant function with a canonical correlation of 0.98 (<italic>P&#60;.001</italic>) and a canonical <italic>R</italic><sup>2</sup> of 0.93. The model explains about 98% (1–Wilk λ=1–0.01789) of the variance shared among the variable sets.</p>
            <p>E<sub>2</sub> (can explain medical problems using a computer), S<sub>3</sub> (will have TH whenever the counterpart wants to), F<sub>2</sub> (will be beneficial to manage the disease), and A<sub>5</sub> (can be a supplemental care service) were the primary contributors to the predictor synthetic variable.</p>
            <p>P<sub>8</sub> (will save time), E<sub>1</sub> (medical problem can be correctly understood), E<sub>3</sub> (will only be used if easy to learn), F<sub>1</sub> (facilitates contact with counterpart), <italic>F</italic><sub>3</sub> (can invade privacy), F<sub>4</sub> (will not interfere with confidentiality of health data), A<sub>1</sub> (is a good way to provide health care), and <italic>A</italic><sub>3</sub> (will be unpleasant to use TH to receive health care) were secondary contributors. The coefficient of <italic>I</italic><sub>3</sub> (will not be used routinely) is negative because it was negatively related to all the predictors except <italic>F</italic><sub>3</sub> and <italic>A</italic><sub>3</sub>: the perception that technology <italic>can invade patients’ privacy</italic> (<italic>F</italic><sub>3</sub>) and that <italic>to use teleconsultation will be unpleasant</italic> (<italic>A</italic><sub>3</sub>) were positively associated with <italic>not using teleconsultation routinely</italic> (<italic>I</italic><sub>3</sub>). These results generally support the theoretically expected relationships (<xref ref-type="table" rid="table4">Table 4</xref>).</p>
          </sec>
          <sec>
            <title>Physicians</title>
            <p>The analysis between the predictors and <italic>IoU</italic> yielded one significant function with a canonical correlation of 0.95 (<italic>P&#60;.001</italic>) and a canonical <italic>R</italic><sup>2</sup> of 0.91. The model explains about 99% (1–Wilk λ=1–0.01010) of the variance shared between the variable sets.</p>
            <p>The primary contributors to the predictor synthetic variable were TH can improve <italic>my productivity</italic> (P<sub>2</sub>), <italic>management of patient care</italic> (P<sub>3</sub>), <italic>the patient’s health</italic> (P<sub>4</sub>), <italic>the effectiveness of my work</italic> (P<sub>6</sub>), E<sub>1</sub> (medical problem can be correctly understood), S<sub>3</sub> (will have TH whenever the counterpart wants to), F<sub>2</sub> (will be beneficial to manage patients and their treatment), F<sub>4</sub> (will not interfere with confidentiality of health data), F<sub>5</sub> (can decrease the National Health System costs), A<sub>1</sub> (is a good way to provide health care services), A<sub>2</sub> (is a good idea to use TH), <italic>A</italic><sub>3</sub> (will be unpleasant to use TH to provide health care), A<sub>4</sub> (a common method for providing health care in the future), and A<sub>5</sub> (can be a supplemental health care service). P<sub>1</sub> (medical consultation can be completed faster), P<sub>5</sub> (patient examination is as good as in face-to-face consultations), F<sub>1</sub> (facilitates contact with counterpart), and <italic>F</italic><sub>3</sub> (can invade patient’s privacy) were secondary contributors. The structure coefficient of <italic>I</italic><sub>3</sub> is negative; therefore, <italic>F</italic><sub>3</sub> and <italic>A<sub>3</sub></italic> are positively associated with <italic>I</italic><sub>3</sub>. All other significant predictors were negatively associated with the <italic>I</italic><sub>3</sub>. The results are described in <xref ref-type="table" rid="table5">Table 5</xref>.</p>
          </sec>
          <sec>
            <title>Perceptions of Patients Versus Perceptions of Physicians</title>
            <p>In terms of <italic>expected performance</italic> (H12), for physicians, all the variables were statistically associated with <italic>IoU</italic>. For the patients, only P<sub>8</sub> (economy of time) was statistically associated with <italic>IoU</italic>, but the loading was relatively low (0.62). On the contrary, for the patients, all <italic>expected effort</italic> (H13) variables were statistically associated with <italic>IoU</italic>, whereas for physicians, only E<sub>1</sub> (being able to understand the medical problem correctly).</p>
            <p>In terms of <italic>social influence</italic> (H14), the theoretical relationships from the literature were not confirmed: only S<sub>3</sub> (willingness to do TH whenever the counterpart wants to) exhibited statistically significant associations with <italic>IoU</italic>.</p>
            <p>Relative to <italic>facilitating conditions</italic> (H15) and <italic>attitude</italic> (H11), the results for both groups were generally supportive of the theoretically expected relationships (with higher loadings for physicians). All facilitating conditions except F<sub>5</sub> (TH can decrease National Health System costs) were statistically associated with <italic>IoU</italic> for the 2 groups. F<sub>5</sub> was statistically significant only for the physicians. In terms of <italic>attitude</italic>, the perception that TH was <italic>a good way to provide health care services</italic> (A<sub>1</sub>) <italic>as supplemental care</italic> (A<sub>5</sub>) was positively associated, and <italic>unpleasant to use to provide or receive health care</italic> (<italic>A</italic><sub>3</sub>) was negatively associated with <italic>IoU</italic> for both groups. Perceiving that TH will be <italic>a common method in the future</italic> (A<sub>4</sub>) was positively associated with <italic>IoU</italic> only for physicians.</p>
          </sec>
        </sec>
        <sec>
          <title>H2: The Predictors Derived From the Literature Positively Influence Attitude</title>
          <p><italic>Demographic data</italic> were not associated with <italic>attitude</italic> and, for physicians, confidence in ICT use. H21 and H22 cannot be rejected for both groups, and H24 (specifically, relative to C3—<italic>confidence in making videocalls</italic>) cannot be rejected for patients.</p>
          <p><xref rid="figure4" ref-type="fig">Figure 4</xref> shows the canonical associations between the predictors and <italic>attitude</italic>. For physicians (canonical <italic>R</italic><sup>2</sup> of 0.96), <italic>expected performance</italic> and E<sub>1</sub> (understanding the patient’s medical problem correctly) were associated with <italic>attitude</italic>, all as primary contributors. For the patients (canonical <italic>R</italic><sup>2</sup> of 0.85), higher associations were observed with <italic>expected effort</italic>, C<sub>3</sub>, P<sub>1</sub> (medical consultation can be completed faster), P<sub>4</sub> (can improve patient’s health), and P<sub>8</sub> (will save patient’s time). P<sub>1</sub>, P<sub>8</sub>, and E<sub>1</sub> are the primary contributors. <xref ref-type="table" rid="table6">Table 6</xref> synthetizes the major drivers and barriers of TH for the DM.</p>
          <fig id="figure4" position="float">
            <label>Figure 4</label>
            <caption>
              <p>Canonical associations between predictors and attitude. CCA: canonical correlation analysis.</p>
            </caption>
            <graphic xlink:href="humanfactors_v8i4e27873_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
          <table-wrap position="float" id="table6">
            <label>Table 6</label>
            <caption>
              <p>Home teleconsultation barriers and drivers.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="30"/>
              <col width="250"/>
              <col width="240"/>
              <col width="0"/>
              <col width="240"/>
              <col width="240"/>
              <thead>
                <tr valign="top">
                  <td colspan="5">Categories used to predict intention to use and attitude</td>
                  <td>
                    <break/>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td colspan="3">Barriers</td>
                  <td colspan="2">Drivers</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>Patients</td>
                  <td>Physicians</td>
                  <td colspan="2">Patients</td>
                  <td>Physicians</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td colspan="6">
                    <bold>Expected performance</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>P<sub>5</sub>—able or unable to examine the patient as well as he or she would in face-to-face consultations</p>
                      </list-item>
                    </list>
                  </td>
                  <td colspan="2">
                    <list list-type="bullet">
                      <list-item>
                        <p>P<sub>8</sub>—saves patient’s time</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>P<sub>1</sub>—consultation will be faster</p>
                      </list-item>
                      <list-item>
                        <p>P<sub>2</sub>—improves physician’s productivity</p>
                      </list-item>
                      <list-item>
                        <p>P<sub>3</sub>—improves patient management care</p>
                      </list-item>
                      <list-item>
                        <p>P<sub>4</sub>—improves patient’s health</p>
                      </list-item>
                      <list-item>
                        <p>P<sub>6</sub>—improves effectiveness of physician’s work</p>
                      </list-item>
                    </list>
                  </td>
                </tr>
                <tr valign="top">
                  <td colspan="6">
                    <bold>Expected effort</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>E<sub>1</sub>- physician can (not) understand patient’s medical problem correctly</p>
                      </list-item>
                      <list-item>
                        <p>E<sub>2</sub>—patient can explain her/his medical problems using the computer</p>
                      </list-item>
                      <list-item>
                        <p>E<sub>3</sub>—patient will only use if it is easy to learn</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>E<sub>1</sub>- physician can (not) understand patient’s medical problem correctly</p>
                      </list-item>
                    </list>
                  </td>
                  <td colspan="2">
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                </tr>
                <tr valign="top">
                  <td colspan="6">
                    <bold>Social influence</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                  <td colspan="2">
                    <list list-type="bullet">
                      <list-item>
                        <p>S<sub>3</sub>—willingness to do TH<sup>a</sup> whenever the physician or patient wants to</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>S<sub>3</sub>—willingness to do TH whenever the physician or patient wants to</p>
                      </list-item>
                    </list>
                  </td>
                </tr>
                <tr valign="top">
                  <td colspan="6">
                    <bold>Facilitating conditions</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>
                          <italic>F<sub>3</sub>—can invade patient’s privacy<sup>b</sup></italic>
                        </p>
                      </list-item>
                      <list-item>
                        <p>F<sub>4</sub>—use interferes with confidentiality of patient’s health data</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>
                          <italic>F<sub>3</sub>—can invade patient’s privacy</italic>
                        </p>
                      </list-item>
                      <list-item>
                        <p>F<sub>4</sub>—use interferes with confidentiality of patient’s health data</p>
                      </list-item>
                    </list>
                  </td>
                  <td colspan="2">
                    <list list-type="bullet">
                      <list-item>
                        <p>F<sub>1</sub>—facilitates contact with the patient or physician</p>
                      </list-item>
                      <list-item>
                        <p>F<sub>2</sub>—beneficial to patient management and treatment</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>F<sub>1</sub>—facilitates contact with the patient or physician</p>
                      </list-item>
                      <list-item>
                        <p>F<sub>2</sub>—beneficial to patient management and treatment</p>
                      </list-item>
                      <list-item>
                        <p>F<sub>5</sub>—may reduce the costs of the National Health System</p>
                      </list-item>
                    </list>
                  </td>
                </tr>
                <tr valign="top">
                  <td colspan="6">
                    <bold>Attitude</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>
                          <italic>A<sub>3</sub>—it is unpleasant for physician–patient relationship</italic>
                        </p>
                      </list-item>
                      <list-item>
                        <p>A<sub>5</sub>—should (only) be a supplemental health care service</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>
                          <italic>A<sub>3</sub>—it is unpleasant for physician–patient relationship</italic>
                        </p>
                      </list-item>
                      <list-item>
                        <p>A<sub>5</sub>—should (only) be a supplemental health care service</p>
                      </list-item>
                    </list>
                  </td>
                  <td colspan="2">
                    <list list-type="bullet">
                      <list-item>
                        <p>A<sub>1</sub>—is a good way of providing health care services</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>A<sub>1</sub>—is a good way of providing health care services</p>
                      </list-item>
                      <list-item>
                        <p>A<sub>2</sub>—it is a good idea to provide TH</p>
                      </list-item>
                      <list-item>
                        <p>A<sub>4</sub>—TH will be a common method in the future</p>
                      </list-item>
                    </list>
                  </td>
                </tr>
                <tr valign="top">
                  <td colspan="6">
                    <bold>Confidence in</bold>
                    <bold>Information and communication technology</bold>
                    <bold>use</bold>
                  </td>
                </tr>
                <tr valign="top">
                  <td/>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>None identified</p>
                      </list-item>
                    </list>
                  </td>
                  <td colspan="2">
                    <list list-type="bullet">
                      <list-item>
                        <p>C<sub>3</sub>—confidence in making videocalls</p>
                      </list-item>
                    </list>
                  </td>
                  <td>
                    <list list-type="bullet">
                      <list-item>
                        <p>C<sub>3</sub>—confidence in making videocalls</p>
                      </list-item>
                    </list>
                  </td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="table6fn1">
                <p><sup>a</sup>TH: teleconsultations at home.</p>
              </fn>
              <fn id="table6fn2">
                <p><sup>b</sup>Variables in italic had a negative sign in the predictors set.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>The main contribution of this study is the identification of relationships among a set of construct predictors taken from the literature and the intention to use (synchronous) home teleconsultations. Obtaining insights about home teleconsultations from the stakeholders directly involved in the health care interaction—that is, patients and physicians, is particularly important in a time of great pressure for health systems and when an important portion of health care has to be assured at a distance.</p>
        <p>TH appear to be safe and effective in appropriate clinical situations [<xref ref-type="bibr" rid="ref9">9</xref>]. In addition, it should not be forgotten that more vulnerable fringes of the population would not have the resources needed for this type of consultation; for example, in our sample, some older patients had never used computers, smartphones, or tablets. Physicians and patients will likely be supportive of their use if they are offered as supplemental and in support of traditional care models rather than to replace them (most of the 2 samples agreed with this type of teleconsultation; <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>, variable A<sub>5</sub>). This result is in line with the findings of Gilbert et al [<xref ref-type="bibr" rid="ref37">37</xref>], from the patient’s perspective, and Greenhalgh et al [<xref ref-type="bibr" rid="ref9">9</xref>], from that of the physicians.</p>
        <p>Health illiteracy and the physical examination <italic>ritual</italic> (referred by Haig-Ferguson et al [<xref ref-type="bibr" rid="ref36">36</xref>] in the context of a pediatric chronic fatigue service) may explain why patients see TH only as an extra health care service. Patients should be encouraged and supported for their use.</p>
        <p>Expected performance factors (time savings, increased productivity or efficiency, better disease management, health improvement, and quality of the clinical examination) were the most important factors for <italic>intention to use</italic> among physicians, which is in line with the literature (<xref ref-type="table" rid="table5">Table 5</xref>). On the contrary, except for time savings, patients’ perceptions did not reveal an association between performance variables and <italic>intention to use</italic>.</p>
        <p>Another difference concerns the <italic>expected effort</italic> needed to use TH. For the patients, explaining <italic>and being understood when communicating their medical problems using the computer</italic> and <italic>the technology being easy to learn</italic> are positively associated with <italic>intention to use.</italic> This type of concern has been identified in the literature [<xref ref-type="bibr" rid="ref8">8</xref>]. For physicians, these factors are not related to <italic>the intention to use</italic>, except for the necessary effort to <italic>understand the patient’s problem</italic>. In their systematic literature review on physicians’ eHealth adoption, Granja et al [<xref ref-type="bibr" rid="ref44">44</xref>] concluded that the major facilitators of eHealth are the quality of the diagnosis and patient-centered care.</p>
        <p>For both groups, the only <italic>social influence</italic> variable associated with <italic>intention to use</italic> was the willingness of patients or physicians to participate in TH if their counterpart wants to, which means that each group can encourage the use of the other. The literature has only referred to the importance of physicians’ recommendations for teleconsultation [<xref ref-type="bibr" rid="ref10">10</xref>].</p>
        <p>For both patients and physicians, all <italic>facilitating conditions</italic> and <italic>attitude</italic> variables toward using TH were associated with <italic>intention to use</italic>, which is in accordance with the literature (<xref ref-type="table" rid="table4">Tables 4</xref> and <xref ref-type="table" rid="table5">5</xref>).</p>
        <p>Curiously, contrary to the evidence described in the literature (eg, [<xref ref-type="bibr" rid="ref53">53</xref>]), this study did not find a statistically significant association between <italic>demographic data</italic> or <italic>confidence in ICT use</italic> and <italic>attitude</italic> for any of the groups, with the exception of confidence in using video calls for patients. The current COVID-19 pandemic has led many people to communicate through videoconferencing. Given that our results point to a positive association between confidence in the use of video calls and <italic>attitude</italic>, the pandemic situation may have been a booster for patients’ TH adherence. For teleconsultations to be an effective addition to health services beyond COVID-19 they should be considered not only as a technological issue, but also as a complex organizational change problem [<xref ref-type="bibr" rid="ref54">54</xref>]; from the aspects raised by the authors, we would like to highlight the need for adjusted legal frameworks and reimbursement schemes.</p>
        <p>Major barriers to TH use identified were: (1) the inability to correctly understand the medical problem, (2) threats to patient privacy, (3) health data confidentiality, (4) unpleasantness of TH to provide or receive health care, and (5) type of TH use (supplemental care service). On the basis of the perceptions of patients, costs do not seem to be a barrier to TH use, contrary to what has been described in the literature [<xref ref-type="bibr" rid="ref8">8</xref>]. Probably, this result was observed because, nowadays, technological devices that can be used to make teleconsultations (smartphones, tablets, laptops, etc) are easily available in most of the situations. As digital interaction generally has insignificant costs for patients, cost is highly dependent on the existence of the technology.</p>
        <p>The major identified TH drivers were (1) the perception that they facilitate contact, and (2) the fact that the use by each group was highly influenced by the other. Furthermore, physicians are very sensitive to issues related to the performance and quality of service.</p>
        <p>The sampling methods limit the generalizability of the results. The composition of the patients’ sample in terms of age and education was similar to that of the general population in northern Portugal. However, the proportion of patients with type 1 (type 2) DM in the sample is higher (lower) than expected in the population [<xref ref-type="bibr" rid="ref4">4</xref>]. Thus, the patients’ population may be, on average, older and less educated than the sample in this study. As the data concerning the perceptions of physicians were collected on web, the sample may be, on average, more technology favorable than the population. Nevertheless, both samples included individuals ranging from more positive to more skeptic about TH. In addition, the results were compared with and discussed against the findings of related studies.</p>
        <p>A CCA revealed a strong association between the predictors and the set of dependent variables, in line with the literature. The data analysis included a joint critical comparison of the perceptions of patients and physicians. To promote the use of home teleconsultations for DM, decision makers should: (1) improve patient health literacy, as the inability to explain medical problems correctly emerges as a barrier to teleconsultation use; (2) explore ICT developments to reduce current limitations of non–face-to-face examination; (3) ensure patient privacy and data confidentiality; and (4) demonstrate the capabilities of home teleconsultations to physicians, namely, in terms of the ability to enhance patient–physician communication and to educate patients and their caregivers toward a better management of the disease.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>In the future, it would be interesting that research about teleconsultations acceptance incorporated sustainability related aspects like, for example, fuel consumption, carbon emissions, and loss of work productivity. A recent review [<xref ref-type="bibr" rid="ref55">55</xref>] concluded that, as patients, health care organizations, and nations continue to look toward video consultations as an alternative, it is essential to continue to theorize in this domain.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Questionnaires to collect perceptions of diabetes mellitus patients and physicians about teleconsultations at home.</p>
        <media xlink:href="humanfactors_v8i4e27873_app1.pdf" xlink:title="PDF File  (Adobe PDF File), 365 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Constructs.</p>
        <media xlink:href="humanfactors_v8i4e27873_app2.pdf" xlink:title="PDF File  (Adobe PDF File), 199 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">CCA</term>
          <def>
            <p>canonical correlation analysis</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">DM</term>
          <def>
            <p>diabetes mellitus</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">DNA</term>
          <def>
            <p>did not attend</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">ICT</term>
          <def>
            <p>information and communication technology</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">IoU</term>
          <def>
            <p>intention of use</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">TAM</term>
          <def>
            <p>technology acceptance model</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">TH</term>
          <def>
            <p>teleconsultations at home</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">UTAUT</term>
          <def>
            <p>unified theory of acceptance and use of technology</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The research work carried out by the second author was supported by an APES (Portuguese Association of Health Economics)—Medtronic scholarship.</p>
      <p>The publication of the study will be financed by the National Funds of the FCT (Portuguese Foundation for Science and Technology) within project number UIDB/03182/2020.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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