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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMU</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Mhealth Uhealth</journal-id>
      <journal-title>JMIR mHealth and uHealth</journal-title>
      <issn pub-type="epub">2291-5222</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">v11i1e44765</article-id>
      <article-id pub-id-type="pmid">37000498</article-id>
      <article-id pub-id-type="doi">10.2196/44765</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Smartphone and Mobile App Use Among Physicians in Clinical Practice: Scoping Review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Donelle</surname>
            <given-names>Lorie</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Cherrez</surname>
            <given-names>Ivan</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author">
          <name name-style="western">
            <surname>Lee</surname>
            <given-names>Mauricette</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3311-2685</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Bin Mahmood</surname>
            <given-names>Abu Bakar Shakran</given-names>
          </name>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0006-5062-2504</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Lee</surname>
            <given-names>Eng Sing</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-4963-535X</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Smith</surname>
            <given-names>Helen Elizabeth</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1883-6124</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Tudor Car</surname>
            <given-names>Lorainne</given-names>
          </name>
          <degrees>MSc, MD, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Lee Kong Chian School of Medicine</institution>
            <institution>Nanyang Technological University</institution>
            <addr-line>11 Mandalay Road</addr-line>
            <addr-line>Singapore, 308232</addr-line>
            <country>Singapore</country>
            <phone>65 69041258</phone>
            <email>lorainne.tudor.car@ntu.edu.sg</email>
          </address>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8414-7664</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Lee Kong Chian School of Medicine</institution>
        <institution>Nanyang Technological University</institution>
        <addr-line>Singapore</addr-line>
        <country>Singapore</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Family Medicine and Primary Care</institution>
        <institution>Lee Kong Chian School of Medicine</institution>
        <institution>Nanyang Technological University</institution>
        <addr-line>Singapore</addr-line>
        <country>Singapore</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>National Health Group Polyclinics</institution>
        <addr-line>Singapore</addr-line>
        <country>Singapore</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Primary Care and Public Health</institution>
        <institution>School  of Public Health</institution>
        <institution>Imperial  College London</institution>
        <addr-line>London</addr-line>
        <country>United Kingdom</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Lorainne Tudor Car <email>lorainne.tudor.car@ntu.edu.sg</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>31</day>
        <month>3</month>
        <year>2023</year>
      </pub-date>
      <volume>11</volume>
      <elocation-id>e44765</elocation-id>
      <history>
        <date date-type="received">
          <day>4</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>30</day>
          <month>1</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>8</day>
          <month>2</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>12</day>
          <month>3</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Mauricette Lee, Abu Bakar Shakran Bin Mahmood, Eng Sing Lee, Helen Elizabeth Smith, Lorainne Tudor Car. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 31.03.2023.</copyright-statement>
      <copyright-year>2023</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 mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://mhealth.jmir.org/2023/1/e44765" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Health care professionals are increasingly using smartphones in clinical care. Smartphone use can affect patient quality of care and clinical outcomes.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This scoping review aimed to describe how physicians use smartphones and mobile apps in clinical settings.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>We conducted a scoping review using the Joanna Briggs Institute methodology and reported the results according to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. We used the following databases in our literature search: MEDLINE, Embase, Cochrane Library, Web of Science, Google Scholar, and gray literature for studies published since 2010. An additional search was also performed by scanning the reference lists of included studies. A narrative synthesis approach was used.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>A total of 10 studies, published between 2016 and 2021, were included in this review. Of these studies, 8 used surveys and 2 used surveys with focus group study designs to explore smartphone use, its adoption, experience of using it, and views on the use of smartphones among physicians. There were studies with only general practitioners (n=3), studies with only specialists (n=3), and studies with both general practitioners and specialists (n=4). Physicians use smartphones and mobile apps for communication (n=9), clinical decision-making (n=7), drug compendium (n=7), medical education and training (n=7), maintaining health records (n=4), managing time (n=4), and monitoring patients (n=2) in clinical practice. The Medscape medical app was frequently used for information gathering. WhatsApp, a nonmedical app, was commonly used for physician-patient communication. The commonly reported barriers were lack of regulatory oversight, privacy concerns, and limited Wi-Fi or internet access. The commonly reported facilitator was convenience and having access to evidence-based medicine, clinical decision-making support, and a wide array of apps.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Smartphones and mobile apps were used for communication, medical education and training, clinical decision-making, and drug compendia in most studies. Although the benefits of smartphones and mobile apps for physicians at work were promising, there were concerns about patient privacy and confidentiality. Legislation is urgently needed to protect the liability of health care professionals using smartphones.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>evidence-based medicine</kwd>
        <kwd>specialist</kwd>
        <kwd>general practitioners</kwd>
        <kwd>GP</kwd>
        <kwd>primary care physicians</kwd>
        <kwd>mobile apps</kwd>
        <kwd>consultants</kwd>
        <kwd>surgeons</kwd>
        <kwd>pediatricians</kwd>
        <kwd>clinical care</kwd>
        <kwd>mobile phone</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>The use of smartphones has become increasingly indispensable [<xref ref-type="bibr" rid="ref1">1</xref>]. This technology has revolutionized how people live, learn, work, communicate, and entertain themselves [<xref ref-type="bibr" rid="ref2">2</xref>]. The use of smartphones among health care professionals is also widespread and affects the clinical care they provide [<xref ref-type="bibr" rid="ref3">3</xref>]. Studies in various settings reported that most health care professionals use smartphones daily in their practice [<xref ref-type="bibr" rid="ref4">4</xref>-<xref ref-type="bibr" rid="ref8">8</xref>].</p>
        <p>Smartphones and mobile apps offer an important and diverse set of clinical tools for health care professionals. They enable direct communication with colleagues and patients, instant access to medical knowledge, education, remote patient management, research, and digital diagnostics, to name a few [<xref ref-type="bibr" rid="ref2">2</xref>]. However, the widespread adoption and use of smartphones in medical practice can affect the quality of care [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>]. There are concerns about the impact of smartphones on professionalism, patient safety, and data confidentiality as well as the trustworthiness of sources accessed via smartphones [<xref ref-type="bibr" rid="ref6">6</xref>-<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref11">11</xref>-<xref ref-type="bibr" rid="ref14">14</xref>].</p>
        <p>The use of smartphones may vary between different groups of health care professionals and in different settings. For instance, some studies report that medical journal mobile apps are more commonly used by physicians than by nurses [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]. In contrast, medical calculators or drug compendium apps are used by both physicians and nurses [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]. Many medical mobile apps targeting health care professionals are available, and their number is growing. Studies have reported that the daily use of medical apps ranges from 1 to 20 minutes among physicians [<xref ref-type="bibr" rid="ref7">7</xref>]. Knowing what types of apps are commonly used by various health care professionals can help discern their needs, guide the future evaluation of the quality of such apps, and inform the development of new apps.</p>
      </sec>
      <sec>
        <title>Objectives</title>
        <p>A growing number of studies are exploring the use of smartphones among health care professionals as well as their experiences and perceptions of the role of smartphones in clinical care [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref9">9</xref>-<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref22">22</xref>]. However, to date, there are no existing scoping reviews, systematic reviews, and research syntheses available on this topic. Our objective was to collate and describe how smartphones and mobile apps were used by physicians, specifically, specialists and family physicians, within clinical settings. We presented the barriers, facilitators, and opinions of physicians regarding smartphones and mobile apps.</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>A scoping review was conducted using the Joanna Briggs Institute methodology and reported according to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) [<xref ref-type="bibr" rid="ref23">23</xref>]. The scoping review methodology consisted of five key steps: (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; and (5) collating, summarizing, and reporting the results. The study protocol was registered in the Open Science Framework registries [<xref ref-type="bibr" rid="ref24">24</xref>].</p>
      </sec>
      <sec>
        <title>Step 1: Identifying the Research Question</title>
        <p>This review aimed to collate and describe studies focusing on the use of smartphones among physicians. The overarching question for this scoping review was as follows: “How do physicians use smartphones in clinical practice?” More specifically, the research questions for this scoping review are as follows:</p>
        <list list-type="bullet">
          <list-item>
            <p>What are the smartphone apps and features physicians access and why?</p>
          </list-item>
          <list-item>
            <p>How do physicians use their smartphones as an information source?</p>
          </list-item>
          <list-item>
            <p>What are physicians’ opinions of the impact of smartphones on clinical care?</p>
          </list-item>
        </list>
      </sec>
      <sec>
        <title>Step 2: Identifying Relevant Studies</title>
        <p>We developed the MEDLINE (Ovid) search strategy collaboratively and iteratively with support from an experienced medical librarian. The search strategy was guided by relevant articles identified from previous manual searches, based on our research questions, and eligibility criteria (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The same strategy was adopted to search for applicable studies in Embase, Cochrane Library, and Web of Science. Similar to previous studies, we also searched the reference lists of the included studies and gray literature in the first 10 pages of the search results in Google Scholar using the search terms in our search strategy and titles of the included studies [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>]. Only studies published in the English language were included. Results were imported to EndNote 20 (Clarivate Analytics) [<xref ref-type="bibr" rid="ref27">27</xref>].</p>
        <p>The included studies in this review had to meet the inclusion and exclusion criteria presented in <xref ref-type="boxed-text" rid="box1">Textbox 1</xref>. We included studies published between January 2010 and January 2022 to capture data that aligned with the proliferation of smartphone ownership [<xref ref-type="bibr" rid="ref28">28</xref>]. This review aimed to understand practicing physicians’, defined as specialists, and family physicians’ use of smartphones in clinical settings. Owing to the differences in training needs between medical trainees and nontrainees, medical trainees were excluded [<xref ref-type="bibr" rid="ref29">29</xref>].</p>
        <boxed-text id="box1" position="float">
          <title>Inclusion and exclusion criteria.</title>
          <p>
            <bold>Inclusion criteria</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Studies focusing on the use of smartphones among physicians defined as specialists and family physicians</p>
            </list-item>
            <list-item>
              <p>Studies exploring the use of mobile apps and the use of social media if this is done explicitly using smartphones (only if the motivation for use was physician driven)</p>
            </list-item>
            <list-item>
              <p>Studies focusing on personal smartphones, organizationally provided smartphones, or both</p>
            </list-item>
            <list-item>
              <p>Studies focusing on a mix of physicians if more than 50% of the physicians were specialists and family physicians</p>
            </list-item>
            <list-item>
              <p>Survey, observational, mixed methods, or qualitative studies</p>
            </list-item>
            <list-item>
              <p>Published between January 2010 and January 2022</p>
            </list-item>
            <list-item>
              <p>Printed in the English language</p>
            </list-item>
          </list>
          <p>
            <bold>Exclusion criteria</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Studies that focused on patients, medical students, medical trainees, medical residents, house officers, health intervention, or medical education</p>
            </list-item>
            <list-item>
              <p>If the smartphones were implemented for research purposes</p>
            </list-item>
            <list-item>
              <p>Studies that focused on infection control of personal smartphones</p>
            </list-item>
            <list-item>
              <p>Editorials, opinion pieces, conference posters, and abstracts</p>
            </list-item>
          </list>
        </boxed-text>
      </sec>
      <sec>
        <title>Step 3: Study Selection</title>
        <p>Studies were identified using the search criteria presented in <xref ref-type="boxed-text" rid="box1">Textbox 1</xref>. The search results from different electronic databases were combined in a single EndNote (Clarivate Analytics) library [<xref ref-type="bibr" rid="ref27">27</xref>], and duplicate records were removed. The first reviewer (MLM) independently screened titles and abstracts on ASReview v1.0 (ASReview Lab) [<xref ref-type="bibr" rid="ref30">30</xref>] to identify studies that potentially met the inclusion criteria. Only 33% of the titles and abstracts were screened. This was 1 rule that was predetermined and adhered to before screening commenced on ASReview [<xref ref-type="bibr" rid="ref30">30</xref>]. This rule was set based on a study that found that 95% of eligible studies would be found after screening between 8% and 33% of studies on ASReview [<xref ref-type="bibr" rid="ref31">31</xref>]. In parallel, a second reviewer (ABSBM) independently screened all titles and abstracts, including 33% of titles and abstracts that were screened by MLM on Covidence (Veritas Health Innovation) [<xref ref-type="bibr" rid="ref32">32</xref>] to identify studies that potentially met the inclusion criteria. Disagreements on the included titles and abstracts were resolved through discussion between the first and second reviewers. Conflicts between the 2 reviewers were resolved through consensus, and when required, a third reviewer (Ahmad Ishqi Jabir) acted as an arbiter. In total, 2 reviewers (MLM and ABSBM) independently retrieved the full texts of the included titles and abstracts and read and assessed the studies against the eligibility criteria. Disagreements on the included full-text articles were resolved through discussion between the first and second reviewers. Conflicts between the 2 reviewers were resolved through consensus, and when required, a third reviewer (AIJ) acted as an arbiter. A total of 2 reviewers (MLM and ABSBM) independently extracted the data for each included study using a structured data extraction form. <xref rid="figure1" ref-type="fig">Figure 1</xref> shows a flow diagram of the article selection process.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Flow diagram for the article selection process.</p>
          </caption>
          <graphic xlink:href="mhealth_v11i1e44765_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Step 4: Charting the Data</title>
        <p>After the screening process was completed, EndNote Library [<xref ref-type="bibr" rid="ref27">27</xref>] was set up to share articles between the reviewers. A data charting form was created using Microsoft Excel and used to extract data from the included studies. The data extracted from each study included the name of the first authors, year of publication, title, aims of the study, study design, study location, study time frame, sample size, participant characteristics, type of smartphone used, and study findings (<xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref> [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref40">40</xref>]). Adapted from previous studies by Lee and De Jong [<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>], the data extracted from the included studies were categorized into functions, benefits, and challenges of smartphones and mobile apps for health care professionals. We used coding frames from these studies, as they captured data that were aligned with the proliferation of smartphone ownership. The data charting form was piloted by 2 reviewers (MLM and ABSBM), with 4 studies either different in study designs or population specialties to ensure consistent, reliable, and efficient data extraction. Conflicts between the 2 reviewers were resolved through consensus, and when required, a third reviewer (AIJ) served as an arbiter.</p>
      </sec>
      <sec>
        <title>Step 5: Collating, Summarizing, and Reporting the Results</title>
        <p>A comprehensive summary of the included studies, number of studies, study design, data collection methods, population types, and the aims of the study were presented. The use of smartphones was organized according to themes presented in a previous paper [<xref ref-type="bibr" rid="ref41">41</xref>]. The framework we developed was aligned with all our research questions. The collated findings were ownership rates, type of mobile apps used, type of information sources used, type of websites accessed, use of smartphones for contact with colleagues and patients, and physicians’ experiences of using smartphones. Relationships between population characteristics and the use of smartphones (differences in the use of smartphones among physicians in primary and secondary care) were identified. A narrative synthesis of the findings without the use of a qualitative analysis program was presented.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Search Findings</title>
        <p>Database searches yielded 11,447 records, and another 3 records were retrieved from the gray literature source. After removing 2784 duplicates, 8663 titles and abstracts were screened. Title and abstract screening led to the exclusion of 8625 records, resulting in 40 full texts that needed to be assessed for eligibility. Of these, 30 articles were excluded, resulting in 10 studies for the review (<xref rid="figure1" ref-type="fig">Figure 1</xref>). We used a sensitive search strategy that aimed to retrieve all relevant research in this novel area and as such had a high number of citations initially. We then screened citations in parallel and independently to ensure the reliability of our screening.</p>
      </sec>
      <sec>
        <title>Study Characteristics</title>
        <p>The 10 studies included in this review (<xref ref-type="table" rid="table1">Table 1</xref> [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref40">40</xref>]) were conducted across 9 countries and published between 2016 and 2021. The study data collection time frames were reported in 4 studies [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>], and data were collected between 2014 and 2019. Of the 10 included studies, 8 (80%) used surveys [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref38">38</xref>] and 2 (20%) used surveys with focus groups study designs [<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. A total of 3 studies recruited only general practitioners (GPs) [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref39">39</xref>], another 3 studies recruited only specialists [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>], and 4 studies recruited both GPs and specialists [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. The participants in the remaining studies were addressed as anesthetist consultants [<xref ref-type="bibr" rid="ref34">34</xref>], pediatricians [<xref ref-type="bibr" rid="ref35">35</xref>], specialists, or surgeons. Overall, 4 studies did not provide information on their clinical settings [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>], 2 studies were conducted in hospitals [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref38">38</xref>], and the remaining studies were conducted in community health centers [<xref ref-type="bibr" rid="ref22">22</xref>], large university surgical departments [<xref ref-type="bibr" rid="ref37">37</xref>], rural practices [<xref ref-type="bibr" rid="ref39">39</xref>], and health institutions [<xref ref-type="bibr" rid="ref40">40</xref>]. The characteristics and details of the included studies on the use of smartphones and mobile apps by physicians are presented in <xref ref-type="table" rid="table1">Tables 1</xref> and <xref ref-type="table" rid="table2">2</xref> (<xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>). One study reported that physicians possessed more than 6 different work-related mobile apps on their smartphones [<xref ref-type="bibr" rid="ref34">34</xref>]. Another study reported that most GPs had 1 to 3 medical apps, with very few owning more than 4 [<xref ref-type="bibr" rid="ref22">22</xref>]. Only 1 study found that young GPs (aged &#60;35 years) were more likely to own smartphones [<xref ref-type="bibr" rid="ref22">22</xref>]. Another study found that younger physicians (aged ≤44 years) were less likely to allow their patients to communicate with them via the internet or phone, and they used medical apps more often [<xref ref-type="bibr" rid="ref5">5</xref>]. One study reported that 10% (5/50) of physicians used organizationally provided smartphones, whereas the rest used personal smartphones for clinical use [<xref ref-type="bibr" rid="ref38">38</xref>]. The results are presented in <xref ref-type="table" rid="table1">Tables 1</xref> and <xref ref-type="table" rid="table2">2</xref> and are consistent with the PRISMA-ScR guidelines [<xref ref-type="bibr" rid="ref43">43</xref>].</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Summary table of included studies (N=10).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="550"/>
            <col width="0"/>
            <col width="420"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Features</td>
                <td>Study, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="4">
                  <bold>Country</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ireland</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Austria</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Australia</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Canada</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>China</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Cyprus</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ecuador</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Sudan</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Turkey</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Year of publication</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2021</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2020</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2019</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2018</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2017</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>2016</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Population type</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Only GPs<sup>a</sup></td>
                <td colspan="2">3 (30)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Only specialists</td>
                <td colspan="2">3 (30)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>GPs and specialists</td>
                <td colspan="2">4 (40)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Age group (years)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>25-35</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>36-45</td>
                <td colspan="2">4 (40)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>46-66</td>
                <td colspan="2">3 (30)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#62;66</td>
                <td colspan="2">0 (0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not applicable<sup>b</sup></td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Sex<sup>c</sup></bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Mostly male</td>
                <td colspan="2">5 (50)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Mostly female</td>
                <td colspan="2">3 (30)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Intersex</td>
                <td colspan="2">0 (0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not applicable</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Type of smartphone used<sup>c</sup></bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Mostly Android</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Mostly iPhone</td>
                <td colspan="2">3 (30)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Others</td>
                <td colspan="2">0 (0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not applicable</td>
                <td colspan="2">6 (60)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Most commonly reported frequency of smartphone use</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Daily</td>
                <td colspan="2">2 (20)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Weekly</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Monthly</td>
                <td colspan="2">0 (0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Sometimes</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rarely</td>
                <td colspan="2">0 (0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td colspan="2">1 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not reported</td>
                <td colspan="2">5 (50)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Most commonly reported purpose of smartphone use</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Communication</td>
                <td colspan="2">9 (90)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Clinical decision-making</td>
                <td colspan="2">7 (70)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Medical education and training</td>
                <td colspan="2">7 (70)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Reference tools</td>
                <td colspan="2">7 (70)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Health record maintenance</td>
                <td colspan="2">4 (40)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Time management</td>
                <td colspan="2">4 (40)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Patient monitoring</td>
                <td colspan="2">2 (20)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>GP: general practitioner.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>This information was not reported in this study.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>The number of studies was calculated based on the majority reported under sex and type of smartphone used. For instance, if a study reported more males than females being recruited, we counted it as “Mostly males.” Similarly, there are a number of studies on the type of smartphones used.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Smartphones and mobile apps used by physicians.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="220"/>
            <col width="750"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Purpose of smartphone use</td>
                <td>Examples of mobile apps and features used</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Communication</td>
                <td>WhatsApp [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], Google Hangout [<xref ref-type="bibr" rid="ref40">40</xref>], Facebook [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref36">36</xref>], YouTube [<xref ref-type="bibr" rid="ref36">36</xref>], SMS text messaging [<xref ref-type="bibr" rid="ref36">36</xref>], email [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>], voice calling [<xref ref-type="bibr" rid="ref37">37</xref>], and instant messaging [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Information seeking and management</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Clinical decision-making</td>
                <td>Medscape [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], UpToDate [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], Nature [<xref ref-type="bibr" rid="ref40">40</xref>], MedCalc [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], Das28 [<xref ref-type="bibr" rid="ref40">40</xref>], Diagnostic assistance tools [<xref ref-type="bibr" rid="ref38">38</xref>], Prognosis [<xref ref-type="bibr" rid="ref40">40</xref>], Dxsarus [<xref ref-type="bibr" rid="ref40">40</xref>], Laborwerte [<xref ref-type="bibr" rid="ref5">5</xref>], Labormedizin Pocket [<xref ref-type="bibr" rid="ref5">5</xref>]¸ and medical calculators [<xref ref-type="bibr" rid="ref38">38</xref>]</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Health record maintenance</td>
                <td>Enil [<xref ref-type="bibr" rid="ref40">40</xref>], Meddata [<xref ref-type="bibr" rid="ref40">40</xref>], E-nabiz [<xref ref-type="bibr" rid="ref40">40</xref>], PACSapp [<xref ref-type="bibr" rid="ref40">40</xref>], Acibadem [<xref ref-type="bibr" rid="ref40">40</xref>], and coding and billing [<xref ref-type="bibr" rid="ref42">42</xref>]</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Medical education and training</td>
                <td>Twitter [<xref ref-type="bibr" rid="ref34">34</xref>], Medscape [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], OrthoApp [<xref ref-type="bibr" rid="ref40">40</xref>], Vcell [<xref ref-type="bibr" rid="ref40">40</xref>], UpToDate [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref40">40</xref>], PubMed [<xref ref-type="bibr" rid="ref36">36</xref>], and Nature [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Reference tools</td>
                <td>UpToDate [<xref ref-type="bibr" rid="ref35">35</xref>], Medscape [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>], Cepilaç [<xref ref-type="bibr" rid="ref40">40</xref>], Diagnosia [<xref ref-type="bibr" rid="ref5">5</xref>], Embryotox [<xref ref-type="bibr" rid="ref5">5</xref>], Antibiotika (Thalhammer) [<xref ref-type="bibr" rid="ref5">5</xref>], Arzneimittel Pocket [<xref ref-type="bibr" rid="ref5">5</xref>], Eponyms [<xref ref-type="bibr" rid="ref40">40</xref>], and PubMed [<xref ref-type="bibr" rid="ref36">36</xref>]</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Clinical care</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Patient monitoring</td>
                <td>Apple Health [<xref ref-type="bibr" rid="ref37">37</xref>], Instant health rate [<xref ref-type="bibr" rid="ref37">37</xref>], and Fitwell [<xref ref-type="bibr" rid="ref37">37</xref>]</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Time management</td>
                <td>Google Calendar [<xref ref-type="bibr" rid="ref40">40</xref>]</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Communication</title>
        <p>Of the 10 included studies, 7 (70%) reported the use of smartphones and mobile apps for communication [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. One study reported that participants allowed their patients to contact them by phone and via web-based communication tools [<xref ref-type="bibr" rid="ref5">5</xref>]. However, the study did not report on the smartphone features or apps used. Another study reported that smartphones allowed faster access to information, especially for communication among peers [<xref ref-type="bibr" rid="ref40">40</xref>]. More than half of the physicians preferred using smartphones and mobile apps over other alternatives for communication with other physicians [<xref ref-type="bibr" rid="ref36">36</xref>]. Of the 10 studies, 3 (30%) did not explicitly report how smartphones and mobile apps were used by physicians for communication [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. One study reported using smartphones to contact other specialists for referrals or advice [<xref ref-type="bibr" rid="ref34">34</xref>], another study reported using smartphones for communication [<xref ref-type="bibr" rid="ref38">38</xref>], and the last study did not report on communication at all [<xref ref-type="bibr" rid="ref35">35</xref>].</p>
      </sec>
      <sec>
        <title>Information Seeking and Management</title>
        <p>Of the 10 included studies, 7 (70%) reported the use of mobile apps for medical education and training [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Of the 7 studies, 3 did not provide examples of mobile apps used by GPs and specialists in medical education and training [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. Of the 3 studies, 1 reported that most physicians perceived that they were provided with reliable clinical content and continuing medical education when using mobile apps for medical education and training [<xref ref-type="bibr" rid="ref5">5</xref>]. Another study reported that most surgeons felt that texting improved the educational experience of their trainees [<xref ref-type="bibr" rid="ref37">37</xref>]. Of the 10 studies, 7 (70%) reported the use of mobile apps for clinical decision-making [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Of the 7 studies, 1 reported that anesthetists used mobile apps for clinical algorithms, clinical planning, and assessment [<xref ref-type="bibr" rid="ref34">34</xref>]. Another study reported that mobile apps for disease diagnosis were used by GPs [<xref ref-type="bibr" rid="ref22">22</xref>], but the identity of the mobile apps used was not provided in those 2 studies.</p>
        <p>Frequent use of drug compendium apps was reported in 7 studies [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. A total of 4 studies found that the most frequent type of medical apps used by physicians were drug compendium apps [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. The other most common types of reference tools were the literature search portals [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref38">38</xref>] and medical literature [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref36">36</xref>]. These were followed by medical journals [<xref ref-type="bibr" rid="ref34">34</xref>-<xref ref-type="bibr" rid="ref36">36</xref>], medical news [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>], and medical textbooks [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Of the 7 studies, 1 reported that anesthetists used mobile apps for drug compendium, prescription, and dosing, and academic journals [<xref ref-type="bibr" rid="ref34">34</xref>]. However, no examples of the mobile apps used were provided in this study. Another study reported that the Diagnosia and Embryotox medical apps were most often used [<xref ref-type="bibr" rid="ref5">5</xref>]. Physicians were less familiar with medical apps such as Antibiotika (Thalhammer) from Germany, MedCalc (United States), Laborwerte (Germany), Arzneimittel Pocket (Germany), and Labormedizin Pocket (Germany) [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
        <p>Of the 10 included studies, 4 (40%) reported the use of mobile apps for health record maintenance to access local appointment systems developed by their local health ministry [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Of the 4 studies, 1 reported the types of smartphone apps used by anesthetists, including apps for billing and accessing patient results and those that allowed access to hospital electronic medical records [<xref ref-type="bibr" rid="ref34">34</xref>]. Another study reported that Enlil (Turkey), a national hospital management information system, was the most used app [<xref ref-type="bibr" rid="ref40">40</xref>]. It was followed by other medical health recording systems from Turkey, such as Meddata, E-nabiz, PACSapp, and Acibadem [<xref ref-type="bibr" rid="ref40">40</xref>].</p>
      </sec>
      <sec>
        <title>Clinical Care</title>
        <p>The use of mobile apps for time management was reported in 40% (4/10) of the included studies [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Only 1 study reported Google Calendar as the most used app among GPs, followed by the default mobile calendar and appointment app [<xref ref-type="bibr" rid="ref40">40</xref>]. The other 3 studies did not provide examples of mobile apps used for time management [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>].</p>
        <p>Only 20% (2/10) of studies reported the use of mobile apps for patient monitoring [<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. According to Sezgin et al [<xref ref-type="bibr" rid="ref40">40</xref>], patient-monitoring apps were the least prevalent among all mobile apps. Examples of the types of patient-monitoring smartphone apps provided in that study were pedometers, calorie trackers, and heart rate and information tracker tools (cardiograph) [<xref ref-type="bibr" rid="ref40">40</xref>]. The study also reported that patients had been using the tracking apps and sharing them with their physicians [<xref ref-type="bibr" rid="ref40">40</xref>]. Teferi et al [<xref ref-type="bibr" rid="ref38">38</xref>] reported using an app to document the procedures for patient monitoring.</p>
      </sec>
      <sec>
        <title>Smartphone Features Used and Web Access by Physicians</title>
        <p>Of the 10 studies, only 1 (10%) reported the use of built-in features in the smartphone, such as torchlight, stopwatch, and camera [<xref ref-type="bibr" rid="ref34">34</xref>]. The same study also reported the use of a smartphone to distract pediatric patients [<xref ref-type="bibr" rid="ref34">34</xref>]. However, the study did not report on how the smartphone features were used by physicians.</p>
        <p>A total of 2 studies reported that physicians used nonmedical apps more frequently than medical apps [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. These nonmedical apps were used by physicians for calendar [<xref ref-type="bibr" rid="ref22">22</xref>] and web access [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. Overall, 4 studies reported on the use of smartphones for web access [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. However, 3 of the 4 studies neither reported the reasons for physicians to access the internet nor stated the websites that were accessed [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Web browsers and search engines were also used for medical information searches, sometimes outperforming medical apps [<xref ref-type="bibr" rid="ref40">40</xref>].</p>
      </sec>
      <sec>
        <title>Barriers to the Use of Smartphones and Mobile Apps by Physicians</title>
        <sec>
          <title>Overview</title>
          <p>In addition to depicting the use of smartphones and mobile apps by physicians, many studies have described the factors that prevented physicians from using smartphones. This review found a wide variety of barriers to the use of smartphones and mobile apps by physicians, including the infringement of patient privacy and confidentiality, lack of regulatory oversight, negative impact on physician-patient and collegial relationships, quality concerns, limited Wi-Fi or internet access, lack of workplace integration, and lack of smartphone savviness.</p>
        </sec>
        <sec>
          <title>Infringement of Patient Privacy and Confidentiality</title>
          <p>The potential confidentiality breach of patient privacy was the most common barrier to the use of smartphones and mobile apps by physicians [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Only one study reported on privacy concerns, which included the fear of sending the message to the wrong person or number and the uncertainty around the receipt of the messages [<xref ref-type="bibr" rid="ref33">33</xref>]. The lack of security and control over the apps’ content were also perceived to be risks related to the infringement of patient privacy and confidentiality when using smartphones and mobile apps for communication at work [<xref ref-type="bibr" rid="ref40">40</xref>]. However, the study did not report the names of these apps.</p>
        </sec>
        <sec>
          <title>Lack of Regulatory Oversight</title>
          <p>The included studies also addressed barriers to the regulation of smartphones and mobile apps used by physicians [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. One study reported that only 27% of GPs have a written text policy for texting patients [<xref ref-type="bibr" rid="ref33">33</xref>]. GPs who used texts always documented patient consent, and when texting medically sensitive information, they always obtained specific consent [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]. In the hospital setting, some physicians were unaware that they had any organizational policy on the use of smartphones [<xref ref-type="bibr" rid="ref34">34</xref>] and sharing patient information via text messages [<xref ref-type="bibr" rid="ref37">37</xref>]. Most surgeons in 1 study agreed that texting patient-related information should be regulated by a hospital policy (74%) or legislation (57%) [<xref ref-type="bibr" rid="ref37">37</xref>].</p>
        </sec>
        <sec>
          <title>Negative Impact on Physician-Patient and Collegial Relationships</title>
          <p>Several studies in this review referenced barriers related to professional relationships. Hofer and Haluza [<xref ref-type="bibr" rid="ref5">5</xref>] reported that employees were not allowed to use their smartphones at work, as it was found to be disruptive to the relationship with patients during consultation. It was also reported that, among consultant anesthetists with more than 3 years of experience as a consultant, up to 27% agreed that their smartphone was a distraction from their work [<xref ref-type="bibr" rid="ref34">34</xref>]. However, none of those with less than 3 years in post believed that their smartphones were a distraction from their work [<xref ref-type="bibr" rid="ref34">34</xref>]. In addition to distraction, GPs found that text messaging increased patient anxiety [<xref ref-type="bibr" rid="ref39">39</xref>]. Some physicians also reported feeling uncomfortable using smartphones in front of patients [<xref ref-type="bibr" rid="ref40">40</xref>].</p>
        </sec>
        <sec>
          <title>Quality Concerns</title>
          <p>Another reported barrier was concern about the quality of the information provided by medical apps [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. For example, physicians expected professional organizations to inform evidence-based medical apps, including assessing the quality of medical information in the medical apps recommended by the organization [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
        </sec>
        <sec>
          <title>Limited Wi-Fi or Internet Access</title>
          <p>In total, 2 studies reported limited internet access as a barrier [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref36">36</xref>]. Physicians mentioned that they would use many more apps if smartphone reception was better in the hospital [<xref ref-type="bibr" rid="ref5">5</xref>]. Hence, they suggested that the availability of an offline version of an app is important [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
        </sec>
        <sec>
          <title>Lack of Workplace Integration</title>
          <p>Sezgin et al [<xref ref-type="bibr" rid="ref40">40</xref>] also raised the issue of the lack of extensive use of smartphones and mobile apps in the hospital system. This has been demonstrated by the lack of interoperability between the use of smartphones and other hospital devices [<xref ref-type="bibr" rid="ref40">40</xref>].</p>
        </sec>
        <sec>
          <title>Lack of Smartphone Savviness</title>
          <p>Only one study reported the lack of advanced skills as a barrier to the use of smartphones and mobile apps [<xref ref-type="bibr" rid="ref40">40</xref>]. For example, some physicians indicated that they were not aware and unsure of the appropriate apps that could be used to help them with their daily clinical tasks. Their lack of knowledge on smartphone use prevented them from using it in clinical settings.</p>
        </sec>
      </sec>
      <sec>
        <title>Facilitators for the Use of Smartphones and Mobile Apps by Physicians</title>
        <sec>
          <title>Overview</title>
          <p>Numerous studies have reported on the facilitators for the use of smartphones and mobile apps by physicians. Facilitators included convenience and access to evidence-based medicine and clinical decision-making support. One study reported that smartphones and mobile apps were useful for conducting research. However, the authors did not elaborate further [<xref ref-type="bibr" rid="ref36">36</xref>]. The user-friendliness of medical apps was perceived to facilitate the ease of use of mobile apps [<xref ref-type="bibr" rid="ref5">5</xref>].</p>
        </sec>
        <sec>
          <title>Convenience</title>
          <p>Physicians used smartphones and mobile apps primarily for convenience [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. For example, flexible communication channels [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref40">40</xref>] as well as a selection of powerful apps to accomplish a variety of tasks at work were readily available [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref36">36</xref>]. Portability [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>], rapid access to information [<xref ref-type="bibr" rid="ref37">37</xref>], and multimedia resources [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] were also examples of convenience.</p>
        </sec>
        <sec>
          <title>Access to Evidence-Based Medicine and Clinical Decision-making Support</title>
          <p>Access to various evidence-based and clinical decision-making support mobile apps was highlighted as a facilitator in this review [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. The evidence-based medical mobile apps included apps for medical education and training and reference tools, as listed in <xref ref-type="table" rid="table2">Table 2</xref>.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Summary of Key Findings</title>
        <p>According to the studies included in this review, physicians primarily use smartphones and mobile apps for communication, medical education and training, clinical decision-making, and accessing the drug compendium. Medscape was frequently mentioned as a medical app used for information gathering. WhatsApp has been widely reported as a nonmedical app used for physician-physician and physician-patient communication. The most common barriers reported in the included studies were the risk of infringing on patient privacy and confidentiality, lack of regulatory oversight, limited Wi-Fi or internet access, the lack of extensive use of mobile apps in the hospital system, and the lack of smartphone savviness. The most common facilitators reported in the included studies were the availability of having flexible communication methods, easy access to evidence-based medicine, clinical decision-making support, availability of mobile app choices to accomplish many different purposes at work, and portability.</p>
        <p>We found that physicians are more likely to use smartphones for work-related purposes because of the increasing availability of mobile apps. Prior studies showed that only 13% of physicians used their smartphones to watch web-based videos weekly for professional purposes, and continuing medical education activities were the most frequently viewed content [<xref ref-type="bibr" rid="ref44">44</xref>]. However, this review found that studies frequently reported the daily and weekly use of smartphones and mobile apps by physicians [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. In addition, smartphones and mobile apps were widely used not only for medical education and training but also for communication, clinical decision-making, and reference tools. We found mixed views regarding the use of smartphones for work-related purposes as a distraction for physicians [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. For instance, physicians believe that using a smartphone during a consultation could negatively affect the patient-physician relationship [<xref ref-type="bibr" rid="ref5">5</xref>]. This finding is consistent with a recent systematic review on the effect of web-based information-seeking behavior on the physician-patient relationship [<xref ref-type="bibr" rid="ref45">45</xref>]. Another study found a correlation between the number of years of experience as a specialist and whether smartphones were perceived as a distraction [<xref ref-type="bibr" rid="ref34">34</xref>]. Younger physicians tended to use smartphones more and were more likely to accept them in the workplace [<xref ref-type="bibr" rid="ref34">34</xref>]. This was also found to be consistent with a recent systematic review of distraction with smartphones during nursing care [<xref ref-type="bibr" rid="ref46">46</xref>]. Future research should conduct a review on the distraction of smartphones from physicians in the clinical setting and perhaps derive a precise estimate of the effect that smartphone distraction has on clinical care outcomes.</p>
        <p>Our review identified some challenges to the use of smartphones and mobile apps by physicians. First, we found that physicians were unaware of their hospital’s policy [<xref ref-type="bibr" rid="ref41">41</xref>] on the use of smartphones at work. Only a minority of GPs had written a text policy for texting patients [<xref ref-type="bibr" rid="ref32">32</xref>]. As a result, while our review found that most GPs who used text messaging always documented patient consent when texting medically sensitive information [<xref ref-type="bibr" rid="ref33">33</xref>], there remains the potential for a breach in confidentiality. Although previous studies have suggested that the use of strong authentication mechanisms helps to mitigate the risks of a breach [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>], we found evidence that not all physicians had their smartphones encrypted or password protected, and others were unsure whether their smartphones were encrypted [<xref ref-type="bibr" rid="ref37">37</xref>].</p>
        <p>Physicians are increasingly using instant messaging tools, such as WhatsApp, Facebook, and Google Hangout, for physician-physician and physician-patient communications. However, using social media at work may result in the mingling of personal and hospital data. Most social media tools mentioned in our review are not Health Insurance Portability and Accountability Act compliant, which aims to protect patient privacy and ensure the integrity of sensitive medical information [<xref ref-type="bibr" rid="ref49">49</xref>]. Despite the absence of Health Insurance Portability and Accountability Act–specific regulations for smartphones and apps, some organizations have developed recommendations and guidelines for mobile security measures [<xref ref-type="bibr" rid="ref49">49</xref>-<xref ref-type="bibr" rid="ref53">53</xref>]. A previous study [<xref ref-type="bibr" rid="ref47">47</xref>] suggested that educating health care professionals about the available hospital policy on the use of smartphones at work could be useful in implementing the policy. However, our review revealed a lack of direction for ideal smartphone use at work. Consequently, it might be helpful to have a policy or legislation that provides comprehensive guidance on authentication, access control, chain of responsibility, data ownership, allowed devices, acceptable use, training, and noncompliance with the use of smartphones and mobile apps [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref54">54</xref>]. Compliance with the legislation of smartphone use at work should be considered in the future during the appraisal process of health care professionals.</p>
        <p>This review found that physicians use evidence-based medical apps because they provide instant access to evidence. One example of such an app is the evidence-based point-of-care information summaries [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Point-of-care information summaries are defined as medical compendia specifically designed to deliver predigested, rapidly accessible, comprehensive, periodically updated, and evidence-based information (and possibly guidance) to clinicians [<xref ref-type="bibr" rid="ref55">55</xref>]. Our review found that Medscape and UpToDate were the most commonly reported evidence-based point-of-care information summaries apps. However, health care organizations lack information on the use of evidence-based medical apps [<xref ref-type="bibr" rid="ref5">5</xref>]. They were unaware of the reliability of evidence-based information provided by medical apps [<xref ref-type="bibr" rid="ref5">5</xref>]. To ensure quality and safety, the use of medical apps must undergo rigorous evaluation, validation, and development of best practice standards [<xref ref-type="bibr" rid="ref40">40</xref>]. Therefore, as a means of mitigating the use of non–evidence-based information in clinical practice, future research should assess the quality of evidence within medical apps to support health care professionals to be more confident when using such apps for practice. In addition, the findings from such research may inform policy on the audit and regulation of medical apps.</p>
        <p>There were some limitations when conducting this scoping review. As 8 (80%) of the 10 studies used quantitative methods such as surveys to gather data, deep descriptions and examples to provide an in-depth understanding of smartphones and mobile app use were limited [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref33">33</xref>-<xref ref-type="bibr" rid="ref38">38</xref>]. In addition, only English-language studies were included in this narrative synthesis. Although our classification of data was determined through detailed analysis, team discussions, and consensus, there may be themes that we have overlooked. However, as our comprehensive analysis was based on a commonly used framework on smartphone use by health care professionals, missing out on themes may have been minimized [<xref ref-type="bibr" rid="ref41">41</xref>].</p>
      </sec>
      <sec>
        <title>Implication of the Findings</title>
        <p>Physicians use smartphones and mobile apps for communication, clinical decision-making, drug compendium, medical education and training, maintaining health records, managing time, and monitoring patients in clinical practice. However, we found several gaps related to the use of smartphones and mobile apps by physicians at work. These gaps are the lack of regulatory oversight either at a hospital or at a government level, that is, the need to address concerns about the risks of infringement of patient privacy and confidentiality when using smartphones and mobile apps for communication of patient information. There is a need to identify medical apps that provide reliable clinical information and nonmedical apps that can be used for communication by physicians at work. We also found that the use of smartphones differs in different subgroups, such as participants of different ages, sexes, and work experience. Therefore, there may be possible implications on the association of the characteristics of participants with the use of smartphones and mobile apps. Future studies should explore the associations between smartphone use with clinical practice. Future research should also provide more information about smartphone use in clinical practice, including whether smartphones were used for work-related or personal purposes, how smartphone features and apps were used, and how health care professionals communicate using smartphones.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>Our review found literature reporting on the use of smartphones and mobile apps for communication, medical education and training, clinical decision-making, and drug compendia. Challenges related to the use of smartphones and mobile apps include the lack of patient privacy and confidentiality and regulatory oversight. The benefits of smartphones and mobile apps for physicians at work include the availability of having flexible communication methods and mobile app choices to accomplish many different purposes at work, easy access to evidence-based medicine and clinical decision-making support, and portability. Physicians commonly use Medscape and WhatsApp mobile apps. Future research should address patient privacy issues, as well as legislation related to smartphone and mobile apps in clinical practice.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Search strategy.</p>
        <media xlink:href="mhealth_v11i1e44765_app1.docx" xlink:title="DOCX File , 25 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Characteristics of the included studies on the use of smartphones and mobile apps for physicians.</p>
        <media xlink:href="mhealth_v11i1e44765_app2.docx" xlink:title="DOCX File , 41 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">GP</term>
          <def>
            <p>general practitioner</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">PRISMA-ScR</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The authors would like to thank Ms Yasmin Lynda Munro from the Medical Library (Nanyang Technological University) for her help in developing the search strategy. The authors would also like to thank Ahmad Ishqi Jabir, a research associate from Lee Kong Chian School of Medicine (Nanyang Technological University), for his advice on the use of artificial intelligence for the study selection. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>LTC conceived the idea of the review. ML and ABSBM screened the studies and extracted data. ML synthesized the findings and wrote the manuscript. LTC, HES, ESL, and ABSBM provided insightful feedback on the manuscript.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Silver</surname>
              <given-names>L</given-names>
            </name>
          </person-group>
          <article-title>Smartphone ownership is growing rapidly around the world, but not always equally</article-title>
          <source>Pew Research Center</source>
          <year>2019</year>
          <month>02</month>
          <day>05</day>
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