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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IPROC</journal-id>
      <journal-id journal-id-type="nlm-ta">iproc</journal-id>
      <journal-title>Iproceedings</journal-title>
      <issn pub-type="epub">2369-6893</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">v8i1e40954</article-id>
      <article-id pub-id-type="pmid"/>
      <article-id pub-id-type="doi">10.2196/40954</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Abstract</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Abstract</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Technology-Based Innovative Health Care Solutions for Improving Maternal and Child Health Outcomes in Low- and Middle-Income Countries: Systematic Review and Network Meta-analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Dinesen</surname>
            <given-names>Birthe</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Rahman</surname>
            <given-names>Md Obaidur</given-names>
          </name>
          <degrees>MSc, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Global Health Nursing</institution>
            <institution>Graduate School of Nursing Science</institution>
            <institution>St Luke's International University</institution>
            <addr-line>10-1 Akashi-cho</addr-line>
            <addr-line>Chuo-ku</addr-line>
            <addr-line>Tokyo, 104-0044</addr-line>
            <country>Japan</country>
            <phone>81 3 3543 6391 ext 4990</phone>
            <fax>81 3 3543 1626</fax>
            <email>obaidur006@gmail.com</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2219-3013</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Yamaji</surname>
            <given-names>Noyuri</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4212-6723</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Suzuki</surname>
            <given-names>Daichi</given-names>
          </name>
          <degrees>MNSc</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5294-8536</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Sasayama</surname>
            <given-names>Kiriko</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2917-5536</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Yoneoka</surname>
            <given-names>Daisuke</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3525-5092</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Ota</surname>
            <given-names>Erika</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3945-7441</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Global Health Nursing</institution>
        <institution>Graduate School of Nursing Science</institution>
        <institution>St Luke's International University</institution>
        <addr-line>Tokyo</addr-line>
        <country>Japan</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Center for Surveillance, Immunization, and Epidemiologic Research</institution>
        <institution>National Institute of Infectious Diseases</institution>
        <addr-line>Tokyo</addr-line>
        <country>Japan</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Department of Nursing</institution>
        <institution>Kanagawa Institute of Technology</institution>
        <addr-line>Kanagawa</addr-line>
        <country>Japan</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Md Obaidur Rahman <email>obaidur006@gmail.com</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <season>Jan-Dec</season>
        <year>2022</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>19</day>
        <month>8</month>
        <year>2022</year>
      </pub-date>
      <volume>8</volume>
      <issue>1</issue>
      <elocation-id>e40954</elocation-id>
      <history>
        <date date-type="received">
          <day>11</day>
          <month>7</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>17</day>
          <month>8</month>
          <year>2022</year>
        </date>
      </history>
      <copyright-statement>©Md Obaidur Rahman, Noyuri Yamaji, Daichi Suzuki, Kiriko Sasayama, Daisuke Yoneoka, Erika Ota. Originally published in Iproceedings (https://www.iproc.org), 19.08.2022.</copyright-statement>
      <copyright-year>2022</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 Iproceedings, is properly cited. The complete bibliographic information, a link to the original publication on https://www.iproc.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.iproc.org/2022/1/e40954" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Technology-based health care interventions (TBIs) are being considered as a promising solution to effectively strengthen maternal and child health (MCH) service uptake in resource-limited settings.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aimed to identify the most effective TBIs that could achieve the best functional MCH outcomes in low- and middle-income countries (LMICs).</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>A comprehensive search was performed in January 2021. In all, 2 independent researchers identified randomized controlled trials (RCTs) implemented in LMICs using the Population, Intervention, Comparison, Outcomes framework: Population: healthy pregnant women; Intervention: TBIs; Comparison: usual care or non-TBIs; and Outcomes: MCH outcomes. We estimated the direct, indirect, and relative effects, with their certainty based on the Grading of Recommendations, Assessments, Development, and Evaluations approach, for a wide range of MCH outcomes.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>In total, 30 trials with 70,807 participants were included, and 80% had low risk of bias. Our network meta-analysis (NMA) estimates indicated that TBIs, particularly SMS text messaging or phone call with mobile voucher interventions, were likely to be effective in improving MCH outcomes. The 1-way communication intervention was likely to be the most effective for the uptake of ≥4 antenatal care visits (relative risk [RR] 1.81, 95% CI 1.33-2.45; moderate certainty), facility delivery (RR 1.45, 95% CI 1.10-1.91; moderate certainty), early breastfeeding initiation (RR 1.18, 95% CI 1.02-1.37; moderate certainty), and caesarean delivery (RR 0.87, 95% CI 0.84-0.91; low certainty) outcomes; however, 2-way communication intervention was likely to be the most effective for the skilled birth attendance (RR 1.36, 95% CI 1.14-1.63; low certainty), maternal (RR 2.04, 95% CI 1.05-3.96; very low certainty) and infant’s postnatal care use (RR 1.55, 95% CI 1.19-2.04; low certainty), exclusive breastfeeding practice (RR 1.53, 95% CI 1.14-2.05; moderate certainty), and perinatal death (RR 0.51, 95% CI 0.32-0.83; low certainty) outcomes. There was no substantial inconsistency between direct and indirect evidence, but small study effects were detected in the NMA.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Different forms of TBIs have a possibility to improve MCH outcomes in LMICs and can be integrated into the existing health systems based on their priorities. This study suggests the implementation of large-scale, well-designed RCTs in low-income countries due to the limited number of RCTs in the NMA.</p>
        </sec>
        <sec sec-type="Trial Registration">
          <title>Trial Registration</title>
          <p>PROSPERO CRD42021239185; https://tinyurl.com/yuvmp35x</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>technology-based interventions</kwd>
        <kwd>mobile health</kwd>
        <kwd>digital health</kwd>
        <kwd>telehealth</kwd>
        <kwd>eHealth</kwd>
        <kwd>maternal and child health</kwd>
        <kwd>systematic review</kwd>
        <kwd>network meta-analysis</kwd>
        <kwd>low- and middle-income countries</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <back>
    <app-group/>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
  </back>
</article>
