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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">v7i7e14087</article-id>
      <article-id pub-id-type="pmid">31364599</article-id>
      <article-id pub-id-type="doi">10.2196/14087</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Short Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Short Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Real-World Use of Do-It-Yourself Artificial Pancreas Systems in Children and Adolescents With Type 1 Diabetes: Online Survey and Analysis of Self-Reported Clinical Outcomes</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>Lee</surname>
            <given-names>Joyce</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Lenz</surname>
            <given-names>Sebastian</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Poncette</surname>
            <given-names>Akira-Sebastian</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Höll</surname>
            <given-names>Sylvie</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Thurm</surname>
            <given-names>Ulrike</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Panduro Madsen</surname>
            <given-names>Kristoffer</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Heinemann</surname>
            <given-names>Lutz</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Litchman</surname>
            <given-names>Michelle</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="author" id="contrib1" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Braune</surname>
            <given-names>Katarina</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Paediatric Endocrinology and Diabetes</institution>
            <institution>Charité - Universitätsmedizin Berlin</institution>
            <addr-line>Augustenburger Platz 1</addr-line>
            <addr-line>Berlin, 13353</addr-line>
            <country>Germany</country>
            <phone>49 30450566615</phone>
            <fax>49 30450566916</fax>
            <email>katarina.braune@charite.de</email>
          </address>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-6590-245X</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib2" equal-contrib="yes">
          <name name-style="western">
            <surname>O'Donnell</surname>
            <given-names>Shane</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-3778-705X</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib3">
          <name name-style="western">
            <surname>Cleal</surname>
            <given-names>Bryan</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-3065-7364</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib4">
          <name name-style="western">
            <surname>Lewis</surname>
            <given-names>Dana</given-names>
          </name>
          <degrees>BA</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-4063-4350</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib5">
          <name name-style="western">
            <surname>Tappe</surname>
            <given-names>Adrian</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-8501-7247</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib6">
          <name name-style="western">
            <surname>Willaing</surname>
            <given-names>Ingrid</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-3082-8816</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib7">
          <name name-style="western">
            <surname>Hauck</surname>
            <given-names>Bastian</given-names>
          </name>
          <degrees>MA</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-9374-8971</ext-link>
        </contrib>
        <contrib contrib-type="author" id="contrib8">
          <name name-style="western">
            <surname>Raile</surname>
            <given-names>Klemens</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-0842-1737</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
      <label>1</label>
      <institution>Department of Paediatric Endocrinology and Diabetes</institution>
      <institution>Charité - Universitätsmedizin Berlin</institution>  
      <addr-line>Berlin</addr-line>
      <country>Germany</country></aff>
      <aff id="aff2">
      <label>2</label>
      <institution>The Insight Centre for Data Analytics</institution>
      <institution>University College Dublin</institution>  
      <addr-line>Belfield</addr-line>
      <country>Ireland</country></aff>
      <aff id="aff3">
      <label>3</label>
      <institution>Diabetes Management Research</institution>
      <institution>Steno Diabetes Center Copenhagen</institution>  
      <addr-line>Gentofte</addr-line>
      <country>Denmark</country></aff>
      <aff id="aff4">
        <label>4</label>
        <institution>OpenAPS</institution>
        <addr-line>Seattle, WA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>AndroidAPS</institution>
        <addr-line>Vienna</addr-line>
        <country>Austria</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>#dedoc° Diabetes Online Community</institution>
        <addr-line>Berlin</addr-line>
        <country>Germany</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Katarina Braune 
        <email>katarina.braune@charite.de</email></corresp>
      </author-notes>
      <pub-date pub-type="collection"><month>07</month><year>2019</year></pub-date>
      <pub-date pub-type="epub">
        <day>30</day>
        <month>07</month>
        <year>2019</year>
      </pub-date>
      <volume>7</volume>
      <issue>7</issue>
      <elocation-id>e14087</elocation-id>
      <!--history from ojs - api-xml-->
      <history>
        <date date-type="received">
          <day>21</day>
          <month>3</month>
          <year>2019</year>
        </date>
        <date date-type="rev-request">
          <day>8</day>
          <month>5</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>14</day>
          <month>6</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>6</month>
          <year>2019</year>
        </date>
      </history>
      <copyright-statement>©Katarina Braune, Shane O'Donnell, Bryan Cleal, Dana Lewis, Adrian Tappe, Ingrid Willaing, Bastian Hauck, Klemens Raile. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 30.07.2019.</copyright-statement>
      <copyright-year>2019</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 http://mhealth.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="http://mhealth.jmir.org/2019/7/e14087/" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Patient-driven initiatives have made uptake of Do-it-Yourself Artificial Pancreas Systems (DIYAPS) increasingly popular among people with diabetes of all ages. Observational studies have shown improvements in glycemic control and quality of life among adults with diabetes. However, there is a lack of research examining outcomes of children and adolescents with DIYAPS in everyday life and their social context.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This survey assesses the self-reported clinical outcomes of a pediatric population using DIYAPS in the real world.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>An online survey was distributed to caregivers to assess the hemoglobin A<sub>1c</sub> levels and time in range (TIR) before and after DIYAPS initiation and problems during DIYAPS use.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>A total of 209 caregivers of children from 21 countries responded to the survey. Of the children, 47.4% were female, with a median age of 10 years, and 99.4% had type 1 diabetes, with a median duration of 4.3 years (SD 3.9). The median duration of DIYAPS use was 7.5 (SD 10.0) months. Clinical outcomes improved significantly, including the hemoglobin A<sub>1c</sub> levels (from 6.91% [SD 0.88%] to 6.27% [SD 0.67]; <italic>P</italic>&lt;.001) and TIR (from 64.2% [SD 15.94] to 80.68% [SD 9.26]; <italic>P</italic>&lt;.001).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Improved glycemic outcomes were found across all pediatric age groups, including adolescents and very young children. These findings are in line with clinical trial results from commercially developed closed-loop systems.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>artificial pancreas</kwd>
        <kwd>do it yourself</kwd>
        <kwd>open source</kwd>
        <kwd>mobile health</kwd>
        <kwd>diabetes</kwd>
        <kwd>type 1 diabetes</kwd>
        <kwd>pediatric diabetes</kwd>
        <kwd>closed loop</kwd>
        <kwd>automated insulin delivery</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Over 30 years ago, the Diabetes Control and Complications Trial showed benefits of intensive diabetes management in delaying the onset and reducing the severity of diabetes-related complications [<xref ref-type="bibr" rid="ref1">1</xref>]. People diagnosed at a young age are particularly at risk for developing long-term complications and comorbidities during childhood and later throughout life. Owing to this, therapeutic guidelines recommend tight glycemic control, with a target hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) level&lt;7.0% (53 mmol/mol) for all people with diabetes [<xref ref-type="bibr" rid="ref2">2</xref>]. For children, adolescents, and young adults, guidelines even recommend the lowest achievable HbA<sub>1c</sub> without undue exposure to severe hypoglycemia, balanced with quality of life and burden of care [<xref ref-type="bibr" rid="ref3">3</xref>]. Today, despite significant advances in therapy and technological developments, only 17% of all children and adolescents with diabetes achieve an HbA<sub>1c</sub> level&lt;7.5% (58 mmol/mol) [<xref ref-type="bibr" rid="ref4">4</xref>].</p>
      <p>Multiple clinical trials have shown that closed-loop insulin delivery systems (also known as automated insulin delivery systems or “artificial pancreas”) designed for commercial use are safe and effective in reducing hyper- and hypoglycemia in people of all age groups with diabetes, including adolescents and children [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref9">9</xref>]. Closed-loop systems are characterized by automated insulin delivery in response to the user’s glucose level. Although commercial systems are under development and some have recently become available in a limited number of countries, they are not universally available, accessible, or affordable. Behind the hashtag #WeAreNotWaiting, a community of people with diabetes and their families have created new tools and systems, in addition to the existing, already approved medical devices, and shared them via open source platforms in order to help others with diabetes better utilize their devices and data. One of the most significant innovations to emerge through this movement is the Do-it-Yourself Artificial Pancreas System (DIYAPS). In DIYAPS, commercially available and approved medical devices such as insulin pumps and continuous glucose monitoring sensors are connected and remotely controlled by systems using open-source algorithms to automate insulin delivery. While these systems are cocreated by the DIYAPS community, each user has to build his/her own system and use it at his/her own risk. This includes children and adolescents whose caregivers build and maintain these systems on their behalf.</p>
      <p>Initial observational studies have shown significant improvements in glycemic control, quality of life, and sleep quality in adult DIYAPS users [<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref12">12</xref>]. A Czech pilot study was the first to report findings in a pediatric population and showed that AndroidAPS (an Android-based DIYAPS) was a safe and feasible alternative to a commercially available system, with predictive low glucose suspension during a winter sports camp [<xref ref-type="bibr" rid="ref13">13</xref>]. There remains, however, a lack of research examining outcomes of children and adolescents with DIYAPS in everyday life and their social context. This survey assesses the self-reported clinical outcomes of this specific user group.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>An online survey was distributed to caregivers using DIYAPS through the Facebook groups “Looped” (&gt;11,500 members as of May 2019) and “AndroidAPS users” (&gt;2800 members as of May 2019), other regional subgroups on Facebook, and Twitter. In this context, a caregiver was either a family member or another person who regularly looked after the child or adolescent with diabetes. Demographics and socioeconomic status of the study population were assessed. Participants were also asked for their child’s last three HbA<sub>1c</sub> measurements and mean time in range (TIR; sensor glucose level between 70 mg/dL or 4.0 mmol/L and 180 mg/dL or 10.0 mmol/L) before and after DIYAPS commencement. In an open-ended question, we asked respondents if they experienced difficulties in making the transition to DIYAPS.</p>
      <p>The survey was designed by an interdisciplinary team of medical doctors, social scientists, public health researchers, and patient innovators. Participants were able to choose between two languages (English and German). Data were collected, managed, and analyzed using the secure REDCap electronic data capture tools hosted at Charité - Universitaetsmedizin Berlin [<xref ref-type="bibr" rid="ref14">14</xref>]. Arithmetic mean, SD, and two-tailed heteroscedastic <italic>t</italic> test were used to perform the statistical analysis. The survey was approved by the Charité ethics committee (EA2/140/18).</p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>Overall, 209 participants from 21 countries (74.3% from Europe, 12.0% from North America, 6.9% from Asia, and 6.9% from Australia) responded to the survey (<xref ref-type="table" rid="table1">Table 1</xref>). Of the total, 47.4% children were female, with a median age of 10 years (range: 3-20 years), and 99.4% had type 1 diabetes. The median duration of diabetes was 4.3 (SD 3.9) years, and various types of DIYAPS (AndroidAPS, 48.0%; OpenAPS, 28.4%; Loop, 28.4%; other, 3.4%; and several systems over time, 7.5%) were used. The group had used these systems for a median of 7.5 (SD 10.0) months. Analysis of caregivers’ socioeconomic status indicated that the cohort was evenly distributed across a range of income groups. The responding caregivers’ employment rate was 91.4%, with 58.4% working full-time and 31.8% working part-time. Analysis of the education level showed that 65.2% had an academic or professional degree.</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Demographic data of children and adolescents using Do-it-Yourself Artificial Pancreas Systems, who participated in this survey.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="30"/>
          <col width="640"/>
          <col width="300"/>
          <thead>
            <tr valign="top">
              <td colspan="3">Demographic</td>
              <td>n (%)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="3"><bold>Child’s gender</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Female</td>
              <td>83 (47.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Male</td>
              <td>92 (52.6)</td>
            </tr>
            <tr valign="top">
              <td colspan="3"><bold>Child’s age (years)</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">3</td>
              <td>6 (3.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">4</td>
              <td>11 (6.3)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">5</td>
              <td>14 (8.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">6</td>
              <td>14 (8.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">7</td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">8</td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">9</td>
              <td>15 (8.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">10</td>
              <td>20 (11.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">11</td>
              <td>9 (5.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">12</td>
              <td>19 (10.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">13</td>
              <td>11 (6.3)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">14</td>
              <td>10 (5.7)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">15</td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">16</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">17</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">18</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">20</td>
              <td>4 (2.3)</td>
            </tr>
            <tr valign="top">
              <td colspan="3"><bold>Child’s type of diabetes</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Type 1</td>
              <td>174 (99.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Type 2</td>
              <td>0 (0.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Other/Unknown</td>
              <td>1 (0.6)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Type of DIYAPS<sup>a</sup> used</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">OpenAPS</td>
              <td>43 (28.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">AndroidAPS</td>
              <td>71 (48.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Loop</td>
              <td>42 (28.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Other/Unknown</td>
              <td>5 (3.4)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Region (country of residence)</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2"><bold>Europe</bold></td>
              <td>130 (74.3)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Austria</td>
              <td>3 (1.7)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Bulgaria</td>
              <td>9 (5.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Croatia</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Czech Republic</td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Denmark</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Finland</td>
              <td>8 (4.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>France</td>
              <td>1 (0.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Germany</td>
              <td>46 (26.3)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Greece</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Ireland</td>
              <td>3 (1.7)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Luxembourg</td>
              <td>1 (0.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Poland</td>
              <td>2 (1.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Slovakia</td>
              <td>4 (2.3)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Spain</td>
              <td>3 (1.7)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Sweden</td>
              <td>8 (4.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Switzerland</td>
              <td>1 (0.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>United Kingdom</td>
              <td>23 (13.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2"><bold>North America</bold></td>
              <td>21 (12.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Canada</td>
              <td>5 (2.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>United States</td>
              <td>16 (9.1)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2"><bold>Asia</bold></td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>South Korea</td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2"><bold>Australia/Western Pacific</bold></td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Australia</td>
              <td>12 (6.9)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Caregiver’s occupational status</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Full-time</td>
              <td>101 (58.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Part-time</td>
              <td>55 (31.8)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Unemployed</td>
              <td>10 (5.8)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Retired</td>
              <td>0 (0.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Student</td>
              <td>2 (1.2)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">Other/Unknown</td>
              <td>5 (2.9)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Caregiver’s household annual net income (US $)</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">&lt;20,000</td>
              <td>19 (12.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">20,000-34,999</td>
              <td>12 (7.6)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">35,000-49,999</td>
              <td>19 (12.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">50,000-74,999</td>
              <td>33 (20.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">75,000-99,999</td>
              <td>24 (15.2)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="2">≥100,000</td>
              <td>40 (25.9)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table1fn1">
            <p><sup>a</sup>DIYAPS: Do-it-Yourself Artificial Pancreas Systems.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>On an average, the cohort already had a baseline glycemic control level below the target HbA<sub>1c</sub> recommended by the International Society for Pediatric and Adolescent Diabetes [<xref ref-type="bibr" rid="ref11">11</xref>]. Nevertheless, a significant HbA<sub>1c</sub> improvement of –0.64 percentage points, from a mean HbA<sub>1c</sub> of 6.91% (SD 0.88%; or 52.0 mmol/mol) to 6.27% (SD 0.67; or 45.0 mmol/mol) after commencing DIYAPS was reported (<italic>P</italic>&lt;.001; <xref ref-type="fig" rid="figure1">Figure 1</xref>). The mean TIR increased from 64.2% (SD 15.94%) to 80.68% (SD 9.26; <italic>P</italic>&lt;.001; <xref ref-type="fig" rid="figure2">Figure 2</xref>). Participants also reported a continuous HbA<sub>1c</sub> improvement over time, starting from a mean HbA<sub>1c</sub> of 6.39% (SD 0.65%; or 46.3 mmol/mol) as their first result after commencement, which equals an improvement of –0.52 percentage points compared to the baseline level, gradually improving to a mean HbA<sub>1c</sub> of 6.26% (SD 0.69%; or 44.9 mmol/mol) as their second result and a mean HbA<sub>1c</sub> of 6.06% (SD 0.66%; or 42.7 mmol/mol) as their third result, which equals an improvement of –0.85 percentage points. Users of all DIYAPS systems and all age groups showed similar results (<xref ref-type="table" rid="table2">Table 2</xref>).</p>
      <p>Among the relatively few respondents who indicated difficulties with DIYAPS (n=29), the primary challenge was sourcing the necessary devices and setting up the closed loop. In both cases, successful solutions were primarily found online, although for some, this was a time-consuming process.</p>
      <fig id="figure1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Mean last HbA<sub>1c</sub> levels of children and adolescents before (black) and after (white) the initiation of Do-it-Yourself Artificial Pancreas Systems. HbA<sub>1c</sub>: hemoglobin A<sub>1c</sub>.</p>
        </caption>
        <graphic xlink:href="mhealth_v7i7e14087_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
      </fig>
      <fig id="figure2" position="float">
        <label>Figure 2</label>
        <caption>
          <p>Mean time in range for sensor glucose levels of children and adolescents before (black) and after (white) the initiation of Do-it-Yourself Artificial Pancreas Systems.</p>
        </caption>
        <graphic xlink:href="mhealth_v7i7e14087_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
      </fig>
      <table-wrap position="float" id="table2">
        <label>Table 2</label>
        <caption>
          <p>Clinical outcomes in children and adolescents before and after initiation of Do-it-Yourself Artificial Pancreas Systems.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="30"/>
          <col width="640"/>
          <col width="300"/>
          <thead>
            <tr valign="top">
              <td colspan="3">Outcomes and users</td>
              <td>Mean (SD)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="4"><bold>All DIYAPS<sup>a</sup> users</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>HbA<sub>1c</sub><sup>b</sup></bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>6.91 (0.88)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>6.27 (0.67)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>Time in range</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>64.2 (15.94)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>80.68 (9.26)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>OpenAPS users</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>HbA<sub>1c</sub></bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>7.10 (0.75)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>6.36 (0.72)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>Time in range</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>67.1 (14.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>81.7 (7.7)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>AndroidAPS users</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>HbA<sub>1c</sub></bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>6.85 (0.79)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>6.24 (0.73)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>Time in range</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>63.8 (15.0)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>79.5 (7.9)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Loop users</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>HbA<sub>1c</sub></bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>6.99 (1.00)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>6.39 (0.61)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>Time in range</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>64.2 (15.4)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>79.1 (8.4)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Children (3-9 years)</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>HbA<sub>1c</sub></bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>6.89 (0.80)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>6.31 (0.59)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>Time in range</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>66.5 (15.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>79.2 (8.4)</td>
            </tr>
            <tr valign="top">
              <td colspan="4"><bold>Adolescents and young adults (10-20 years old)</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>HbA<sub>1c</sub></bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>6.93 (0.95)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>6.23 (0.75)</td>
            </tr>
            <tr>
              <td> </td>
            </tr>
            <tr>
              <td> </td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td colspan="3"><bold>Time in range</bold></td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>Before</td>
              <td>62.2 (15.9)</td>
            </tr>
            <tr valign="top">
              <td> </td>
              <td> </td>
              <td>After initiation</td>
              <td>80.1 (9.3)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table2fn1">
            <p><sup>a</sup>DIYAPS: Do-it-Yourself Artificial Pancreas Systems.</p>
          </fn>
          <fn id="table2fn2">
            <p><sup>b</sup>HbA<sub>1c</sub>: hemoglobin A<sub>1c</sub>.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>This survey is currently the largest study of DIYAPS users on a global level and provides new evidence about real-world use of these systems in children and adolescents. Improvement of glycemic control was consistently reported across all pediatric age groups, including adolescents and very young children. Thus, the beneficial effects observed in adult users appear to apply to the pediatric population with no age limitations. These findings are in line with clinical trial results and improvements seen in commercially developed closed-loop systems [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref9">9</xref>].</p>
      <p>The occupational and educational level of the responding caregivers was well above the population level; however, the household income levels varied. This finding suggests that DIYAPS may be financially accessible to a variety of socioeconomic groups. Further investigations on the role of all household caregivers’ socioeconomic status and barriers to scaling up use of these systems would be of interest.</p>
      <p>Although studies investigating DIYAPS consistently have demonstrated significant improvements in a variety of clinical and patient-reported outcomes, with no accompanying severe adverse events, various stakeholders continue to view the use of DIYAPS with skepticism. Ethical and legal questions have been raised, especially for the vulnerable group of children and adolescents. The off-label use of unregulated medical devices as well as the role of the caregiver taking the decision independently from doctors is the subject of intense debate [<xref ref-type="bibr" rid="ref15">15</xref>]. Children are dependent on their caregivers’ technological and medical knowledge and skills, both of which are prerequisites of understanding, building, and maintaining a DIYAPS. Moreover, a limited number of diabetes specialists are familiar with DIYAPS and their in-built safety mechanisms. Knowledge is also limited because research focusing on pediatric cohorts have tended to lag behind the adult population. Studies such as this one may therefore help alleviate concerns of health care providers as they are increasingly confronted with caregivers who have opted for DIYAPS for their child’s diabetes management in their day-to-day clinical practice.</p>
      <p>This study has several limitations. Outcomes were self-reported by caregivers. Until recently, self-reported data have not been commonly used in clinical research. However, a Norwegian study previously found that self-reported outcomes showed good concordance with data from patient registries reported by health care professionals [<xref ref-type="bibr" rid="ref16">16</xref>]. Continuous glucose monitoring data were not directly captured in this survey. Therefore, time in hypoglycemia was not assessed. Time spans between HbA<sub>1c</sub> measurements and TIR as well as DIYAPS versions, settings, and targets might differ individually. With a median DIYAPS experience of 7.5 months, some participants were unable to provide all three HbA<sub>1c</sub> measurements. With education level and occupational status above the average population level and previous baseline glycemic outcomes below the target, the cohort or DIYAPS community may, in general, not be representative of all families having children with diabetes. To fully evaluate both the benefits and risks of DIYAPS, safety and efficacy trials for all age groups are needed.</p>
      <p>The growing #WeAreNotWaiting movement globally is indicative of a paradigm shift whereby traditional, top-down health care solutions are increasingly being complemented by bottom-up and patient-led initiatives. This survey, novel in both its sample size and international scope, provides new evidence that DIYAPS can offer substantial improvements in clinical outcomes for children and adolescents, even in a population that already has achieved glycemic outcomes below the target. However, more research is needed to examine the mechanisms by which these results are achieved; lived experiences of DIYAPS users; adverse events; and what can be learned from this movement in order to accelerate the diffusion of APS technology across the population.</p>
    </sec>
  </body>
  <back>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">DIYAPS</term>
          <def>
            <p>Do-it-Yourself Artificial Pancreas Systems</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">HbA<sub>1c</sub></term>
          <def>
            <p>hemoglobin A<sub>1c</sub></p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">TIR</term>
          <def>
            <p>time in range</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>We express our gratitude to the families of the DIYAPS community who supported and greatly contributed to this survey.</p>
      <p>This survey is part of the EU-H2020 funded “OPEN”-project (Outcomes of Patients’ Evidence with Novel, Do-it-yourself Artificial Pancreas Technology). OPEN is funded by the European Union Horizon 2020 Marie Skłodowska-Curie Actions Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018) program.</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
      <p>KB, DL, and KR performed the literature search. KB, SO, BC, AT, DL, BH, IW, and KR designed the survey. KB and KR collected the data. KB, SO, BC, AT, DL, BH, IW, and KR performed the data analysis and interpretation. KB, SO, KR, BC, IW, and DL wrote the article. All authors read and approved the article.</p> </fn>
      <fn fn-type="conflict">
        <p>KB reports grants from the Berlin Institute of Health (BIH) Clinician Scientist program; fees for medical consulting from Medtronic Diabetes as a member of the Advisory Board "Impact"; medical consulting fees from Roche Diabetes Care; and paid talks for Dexcom, Medtronic Diabetes, and Bertelsmann Stiftung outside the submitted work. AT reports personal fees from Dexcom, Roche Diabetes Care, IME-DC, and Ypsomed; nonfinancial support from Sooil; and personal fees from Gruber-Debong GmbH outside the submitted work. DL reports grants from Robert Wood Johnson Foundation and personal fees from Lilly, Diabeloop, Roche Diabetes Care, Novo Nordisk, and Tandem outside the submitted work. BH reports personal fees from Roche Pharma, Roche Diabetes Care, Novo Nordisk, LifeScan, Bayer AG, and Medtronic Diabetes outside the submitted work. KR is advisory board member of Lilly Diabetes Care and Abbott Diabetes Care outside the submitted work. The remaining authors declare no conflicts of interest.</p>
      </fn>
    </fn-group>
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