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<article article-type="review-article" dtd-version="2.3" xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Int J Public Health</journal-id>
<journal-title>International Journal of Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Int J Public Health</abbrev-journal-title>
<issn pub-type="epub">1661-8564</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1604479</article-id>
<article-id pub-id-type="doi">10.3389/ijph.2022.1604479</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health Archive</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A Systematic Review and Meta-Analysis of the Risk of Stillbirth, Perinatal and Neonatal Mortality in Immigrant Women</article-title>
<alt-title alt-title-type="left-running-head">Behboudi-Gandevani et al.</alt-title>
<alt-title alt-title-type="right-running-head">Stillbirth, Perinatal and Neonatal Mortality in Immigrants</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Behboudi-Gandevani</surname>
<given-names>Samira</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1167596/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bidhendi-Yarandi</surname>
<given-names>Razieh</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1389396/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Panahi</surname>
<given-names>Mohammad Hossein</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mardani</surname>
<given-names>Abbas</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1312414/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>G&#xe5;re Kymre</surname>
<given-names>Ingjerd</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Paal</surname>
<given-names>Piret</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1312250/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vaismoradi</surname>
<given-names>Mojtaba</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1280961/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Faculty of Nursing and Health Sciences</institution>, <institution>Nord University</institution>, <addr-line>Bod&#xf8;</addr-line>, <country>Norway</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biostatistics</institution>, <institution>University of Social Welfare and Rehabilitation Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Epidemiology</institution>, <institution>School of Public Health and Safety</institution>, <institution>Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Nursing Care Research Center</institution>, <institution>Department of Medical Surgical Nursing</institution>, <institution>School of Nursing and Midwifery</institution>, <institution>Iran University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Institute of Nursing Science and Practice</institution>, <institution>Paracelsus Medical University</institution>, <addr-line>Salzburg</addr-line>, <country>Austria</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1040035/overview">Mariachiara Di Cesare</ext-link>, University of Essex, United Kingdom</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Samira Behboudi-Gandevani, <email>samira.behboudi-gandevani@nord.no</email>
</corresp>
<fn fn-type="other" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>
<bold>ORCID:</bold> Samira Behboudi-Gandevani <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-3526-640X">orcid.org/0000-0003-3526-640X</ext-link>
</p>
<p>Razieh Bidhendi-Yarandi <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-2533-167X">orcid.org/0000-0002-2533-167X</ext-link>
</p>
<p>Abbas Mardani <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-2861-6037">orcid.org/0000-0003-2861-6037</ext-link>
</p>
<p>Piret Paal <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-1341-3248">orcid.org/0000-0002-1341-3248</ext-link>
</p>
<p>Mojtaba Vaismoradi <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-5157-4886">orcid.org/0000-0002-5157-4886</ext-link>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>67</volume>
<elocation-id>1604479</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Behboudi-Gandevani, Bidhendi-Yarandi, Panahi, Mardani, G&#xe5;re Kymre, Paal and Vaismoradi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Behboudi-Gandevani, Bidhendi-Yarandi, Panahi, Mardani, G&#xe5;re Kymre, Paal and Vaismoradi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objectives:</bold> This study aimed to investigate the risk of stillbirth, perinatal and neonatal mortality in immigrant women compared to native-origin women in host countries.</p>
<p>
<bold>Methods:</bold> A systematic literature review and meta-analysis was conducted. Relevant studies were identified using a thorough literature search and their quality was appraised. The analysis of heterogeneous data was carried out using the random effects model and publication bias was assessed using the Harbord-test. Also, the pooled odds ratio of events was calculated through the DerSimonian and Laird, and inverse variance methods.</p>
<p>
<bold>Results:</bold> In the search process 45 studies were retrieved consisting of 8,419,435 immigrant women and 40,113,869 native-origin women. The risk of stillbirth (Pooled OR &#x3d; 1.35, 95% CI &#x3d; 1.22&#x2013;1.50), perinatal mortality (Pooled OR &#x3d; 1.50, 95% CI &#x3d; 1.35&#x2013;1.68), and neonatal mortality (Pooled OR &#x3d; 1.09, 95% CI &#x3d; 1.00&#x2013;1.19) in the immigrant women were significantly higher than the native-origin women in host countries. According to the sensitivity analyses, all results were highly consistent with the main data analysis results.</p>
<p>
<bold>Conclusion:</bold> The immigrant women compared to the native-origin women had the higher risks of stillbirth, perinatal and neonatal mortality. Healthcare providers and policy makers should improve the provision of maternal and neonatal healthcare for the immigrant population.</p>
</abstract>
<kwd-group>
<kwd>meta-analysis</kwd>
<kwd>immigration</kwd>
<kwd>perinatal mortality</kwd>
<kwd>neonatal mortality</kwd>
<kwd>stillbirth</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The number of immigrant people across the globe has increased over the past decades and now is at an all-time high [<xref ref-type="bibr" rid="B1">1</xref>]. The impact of immigration on people health is far-reaching as immigrants are particularly vulnerable to health inequalities [<xref ref-type="bibr" rid="B2">2</xref>]. The immigrant population mostly consists of women in the childbearing age that experience the negative effects of immigration on their maternal and neonatal health [<xref ref-type="bibr" rid="B3">3</xref>].</p>
<p>Perinatal mortality has been defined as the number of fetal and early neonatal deaths for every 1,000 births. Stillbirth refers to a baby born dead after the 28th week of gestation and neonatal mortality is considered death in the first 28&#xa0;days of life. As important indicators of the quality of antenatal, obstetric, and perinatal care, they reflect the overall health status in the community [<xref ref-type="bibr" rid="B4">4</xref>]. Also, they are linked to the effective maternal and neonatal care throughout the continuum of care initiated from the pregestational period until postpartum [<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>].</p>
<p>Studies on the risk of perinatal mortality among the newborns of immigrant women have reported controversial results. Some studies show that perinatal mortality among these newborns generally occur more frequently than the newborns of women in host countries [<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>]. Other studies show that immigrant women have the same or even less perinatal mortality than native-origin women [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>]. Given the lack of conclusive evidence, this systemic review and meta-analysis aimed to investigate the risk stillbirth, and perinatal and neonatal mortality in immigrant women compared to native-origin women in host countries.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>The systematic review was conducted in accordance with the Cochrane methodology for systematic review and meta-analysis. The whole review process was informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [<xref ref-type="bibr" rid="B27">27</xref>]. The following PICO (Population, Intervention or exposure, Comparison, Outcome) elements were applied as inclusion criteria to this systematic review: P: all women with the history of pregnancy and their neonates; I: international immigration; C: native-origin women; O: perinatal death, still birth, and neonatal mortality.</p>
<sec id="s2-1">
<title>Eligibility Criteria</title>
<p>Analytic observational studies with cross-sectional, case-control, and cohort designs that addressed the prevalence or risk of at least one of stillbirth, perinatal, and neonatal mortality incidents in immigrant women were considered. Other inclusion criteria were studies published in English language and should present data on immigrant women who crossed international borders compared to native-origin women. Also, they should report the number or prevalence incident of the outcomes of interest in both groups. Movement of women internally within national boundaries led to the exclusion of studies. Also, non-original studies including reviews, commentaries, editorials, letters, meeting abstracts, case reports, and conference proceedings were excluded, because they did not provide accurate and clear data on research variables. Duplicated studies, those with a focus on specific minor populations such as adolescents, and with incomplete data were excluded. No restrictions were applied based on the immigration origin, status, or length of time passed in the host country.</p>
</sec>
<sec id="s2-2">
<title>Search Strategy</title>
<p>A thorough literature search was carried out on the databases of PubMed (including MEDLINE), Web of Science, and Scopus until September 2020. To maximize the identification of eligible studies, a manual search in the references lists of selected studies and relevant reviews was performed. Search keywords consisting of free-text and MeSH terms were combined using the Boolean method and were utilized to conduct the search: (migration OR immigration OR migrant OR immigrant OR emigrant OR asylum seeker OR asylum seeking OR asylum OR refugee) AND (stillbirth OR still birth OR stillborn OR fetal death OR perinatal mortality OR perinatal death OR neonatal mortality OR neonatal death OR adverse pregnancy outcomes OR pregnancy outcomes OR pregnancy complications OR adverse neonatal outcome).</p>
</sec>
<sec id="s2-3">
<title>Study Selection and Data Extraction</title>
<p>The screening of titles, abstracts, and full texts of studies according to eligibility criteria was performed independently by two authors. A third reviewer was consulted in case of disagreement between two data extractors. Discrepancy was resolved by consensus. The following data were extracted from eligible studies and were exported to a table: design; country; publication year; study period; sample size; population characteristics including age and body mass index (BMI); outcome measurements including the number and prevalence of outcomes of interest. Both raw (unadjusted) and adjusted odd ratio/relative risk/hazard ratio were recorded. For the prevention of extraction errors, the original studies&#x2019; data and those data used in the meta-analysis were compared together.</p>
</sec>
<sec id="s2-4">
<title>Terms Definition</title>
<p>The immigrant population has been defined as &#x201c;any person moving across an international border, regardless of the person&#x2019;s legal status; whether it was voluntary or involuntary and what causes for the movement were; or what the length of stay was&#x201d; [<xref ref-type="bibr" rid="B28">28</xref>]. It constitutes a heterogeneous group including refugees, asylum seekers, illegal and undocumented immigrants, economic and transient immigrants.</p>
<p>The native-origin population has been defined as any person who has two parents born in the host country. Perinatal mortality is defined as intrauterine death at or after 22&#xa0;weeks of gestational age or any early neonatal death occurring within 7&#xa0;days after birth [<xref ref-type="bibr" rid="B29">29</xref>]. Stillbirth is fetal death at &#x2265; 28&#xa0;weeks of gestation or weight &#x2265;1,000&#xa0;g. If both these criteria are unknown, crown-heel length &#x2265;35&#xa0;cm is considered [<xref ref-type="bibr" rid="B30">30</xref>]. Neonatal mortality is defined as the death of a live born infant, regardless of gestational age at birth, within the first 28 completed days of life [<xref ref-type="bibr" rid="B31">31</xref>].</p>
</sec>
<sec id="s2-5">
<title>Quality Appraisal</title>
<p>Selected studies were critically appraised in terms of the methodological structure and presentation of results using the modified Newcastle&#x2013;Ottawa Quality Assessment Scale [<xref ref-type="bibr" rid="B32">32</xref>]. Two authors who were blind to the study&#x2019;s author and institution, and the journal&#x2019;s title evaluated the quality of each study independently. Studies with scores above 6 were considered high quality, 4&#x2013;6 moderate quality, and less than 4 low quality.</p>
</sec>
<sec id="s2-6">
<title>Patient and Public Involvement Statement</title>
<p>Patients and the public were not involved in this research. Therefore, no ethical permission was required to be obtained.</p>
</sec>
<sec id="s2-7">
<title>Statistical Analysis</title>
<p>The software package STATA (version 14; STATA Inc., College Station, TX, United States) was used for statistical data analysis. Heterogeneity was evaluated using I<sup>2</sup> index, and <italic>p</italic> &#x3c; 0.05 was interpreted as heterogeneity. Heterogeneous and non-heterogeneous results were analyzed using the random/fixed effects models and the pooled effect was calculated. Publication bias was assessed using the Harbord test. The DerSimonian and Laird inverse variance method was used to calculate the pooled odds ratio of incidents (OR, 95% CI). In addition, sensitivity analysis was run to investigate the influence of each individual study on the overall meta-analysis summary estimate. The graph of the influence analysis&#x2019; result in which the meta-analysis was re-estimated omitting each study in turn was presented. <italic>p</italic> &#x3c; 0.05 was set as the statistical significance level.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Characteristics of Studies</title>
<p>The search process yielded 606 studies (<xref ref-type="fig" rid="F1">Figure 1</xref>). A total of 117 duplicate articles were deleted. Using priori selection criteria, 387 studies were excluded based on the screening of titles and abstracts. Therefore, 102 studies were selected for full text appraisal, but 57 studies were further excluded. Finally, 45 studies were included in the systematic review and meta-analysis involving 8,419,435 immigrant women and 40,113,869 native-origin women. The main characteristics of the selected studies have been outlined in <xref ref-type="table" rid="T1">Table 1</xref>. The studies were conducted in Europe (<italic>n</italic> &#x3d; 37; Spain [<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B33">33</xref>], Finland [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B34">34</xref>], Israel [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>], Turkey [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>], Sweden [<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>], Norway [<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>], Belgium [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>], United Kingdom [<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B47">47</xref>], Netherlands [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B45">45</xref>], Denmark [<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B48">48</xref>], Switzerland [<xref ref-type="bibr" rid="B45">45</xref>], Austria [<xref ref-type="bibr" rid="B45">45</xref>], Germany [<xref ref-type="bibr" rid="B45">45</xref>] and Italy [<xref ref-type="bibr" rid="B49">49</xref>]), America (<italic>n</italic> &#x3d; 8; Canada [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B50">50</xref>], USA [<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>] and Argentina [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B54">54</xref>]), Australia (<italic>n</italic> &#x3d; 5) [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B55">55</xref>]), and Taiwan (<italic>n</italic> &#x3d; 1) [<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>]. The results of quality appraisals of the included studies have been summarized in <xref ref-type="sec" rid="s7">Supplementary Tables S1, S2</xref>. A total of 38 (84%) studies had high [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B55">55</xref>&#x2013;<xref ref-type="bibr" rid="B57">57</xref>], 7 (16%) had moderate quality [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B54">54</xref>], and no study had low quality.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart of the search process. (Risk of stillbirth, perinatal and neonatal mortality in immigrant women, worldwide, 2021).</p>
</caption>
<graphic xlink:href="ijph-67-1604479-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristic of the studies&#x2019; participants. Risk of stillbirth, perinatal and neonatal mortality in immigrant women, worldwide, 2021.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">First author, year</th>
<th align="center">Data sources</th>
<th align="center">Year of data collection</th>
<th align="center">Host country</th>
<th align="center">Native origin group sample size</th>
<th align="center">Origin of immigrants</th>
<th align="center">Immigrant group sample size</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Auger, 2020</td>
<td align="left">Birth and stillbirth registry</td>
<td align="left">1981&#x2013;2015</td>
<td align="left">Canada</td>
<td align="left">2,623,245</td>
<td align="left">Arab women</td>
<td align="left">72,677</td>
</tr>
<tr>
<td align="left">Barona-Vilar, 2014</td>
<td align="left">Perinatal mortality registry</td>
<td align="left">2005&#x2013;2008</td>
<td align="left">Spain</td>
<td align="left">162,043</td>
<td align="left">Outside Spain</td>
<td align="left">40,834</td>
</tr>
<tr>
<td rowspan="8" align="left">Bastola, 2020</td>
<td rowspan="8" align="left">Medical birth register of Finland</td>
<td rowspan="8" align="center">2004&#x2013;2014</td>
<td rowspan="8" align="left">Finland</td>
<td rowspan="8" align="left">350,485</td>
<td align="left">1. Western EU</td>
<td align="left">1. 2,290</td>
</tr>
<tr>
<td align="left">2. Eastern EU</td>
<td align="left">2. 2,566</td>
</tr>
<tr>
<td align="left">3. Russia</td>
<td align="left">3. 11,994</td>
</tr>
<tr>
<td align="left">4. South Asia</td>
<td align="left">4. 1,904</td>
</tr>
<tr>
<td align="left">5. East Asia</td>
<td align="left">5. 4,948</td>
</tr>
<tr>
<td align="left">6. Sub&#x2010;Saharan Africa</td>
<td align="left">6. 3,548</td>
</tr>
<tr>
<td align="left">7. Middle East</td>
<td align="left">7. 3,465</td>
</tr>
<tr>
<td align="left">8. Latin America</td>
<td align="left">8. 739</td>
</tr>
<tr>
<td rowspan="4" align="left">Belihu, 2016</td>
<td rowspan="4" align="left">Victorian routine perinatal data registry</td>
<td rowspan="4" align="center">1999&#x2013;2007</td>
<td rowspan="4" align="left">Australia</td>
<td rowspan="4" align="left">427,755</td>
<td align="left">1. Eritrea</td>
<td align="left">1. 453</td>
</tr>
<tr>
<td align="left">2. Ethiopia</td>
<td align="left">2. 1,094</td>
</tr>
<tr>
<td align="left">3. Somalia</td>
<td align="left">3. 1,861</td>
</tr>
<tr>
<td align="left">4. Sudan</td>
<td align="left">4. 1,404</td>
</tr>
<tr>
<td align="left">Burton, 1999</td>
<td align="left">New South Wales midwives data collection</td>
<td align="center">1990&#x2013;1993</td>
<td align="left">Australia</td>
<td align="left">256,843</td>
<td align="left">Pacific Islands</td>
<td align="left">5,034</td>
</tr>
<tr>
<td align="left">Calderon-Margalit, 2015</td>
<td align="left">One medical center</td>
<td align="center">2002&#x2013;2009</td>
<td align="left">Israel</td>
<td align="left">27,307</td>
<td align="left">Ethiopia</td>
<td align="left">1,319</td>
</tr>
<tr>
<td rowspan="2" align="left">&#xc7;elik, 2019</td>
<td rowspan="2" align="left">One hospital</td>
<td rowspan="2" align="center">2013&#x2013;2016</td>
<td rowspan="2" align="left">Turkey</td>
<td rowspan="2" align="left">48,506</td>
<td align="left">1. Syria</td>
<td align="left">1. 718</td>
</tr>
<tr>
<td align="left">2. Iraq</td>
<td align="left">2. 136</td>
</tr>
<tr>
<td rowspan="9" align="left">Choi, 2019</td>
<td rowspan="9" align="left">Australian national perinatal data collection</td>
<td rowspan="9" align="center">2004&#x2013;2013</td>
<td rowspan="9" align="left">Australia</td>
<td rowspan="9" align="left">1,735,724</td>
<td align="left">1. Europe</td>
<td align="left">1. 206,999</td>
</tr>
<tr>
<td align="left">2. Middle East and North Africa</td>
<td align="left">2. 69,065</td>
</tr>
<tr>
<td align="left">3. China</td>
<td align="left">3. 47,855</td>
</tr>
<tr>
<td align="left">4. India</td>
<td align="left">4. 48,428</td>
</tr>
<tr>
<td align="left">5. Philippines</td>
<td align="left">5. 25,827</td>
</tr>
<tr>
<td align="left">6. Vietnam</td>
<td align="left">6. 31,729</td>
</tr>
<tr>
<td align="left">7. Asia except middle east</td>
<td align="left">7. 117,417</td>
</tr>
<tr>
<td align="left">8. Latin America</td>
<td align="left">8. 14,475</td>
</tr>
<tr>
<td align="left">9. Africa</td>
<td align="left">9. 39,459</td>
</tr>
<tr>
<td align="left">Col Madendag, 2019</td>
<td align="left">One hospital database</td>
<td align="center">2018&#x2013;2019</td>
<td align="left">Turkey</td>
<td align="left">4,271</td>
<td align="left">Syria</td>
<td align="left">2,040</td>
</tr>
<tr>
<td rowspan="8" align="left">Dahlen, 2013</td>
<td rowspan="8" align="left">New South Wales midwives data collection</td>
<td rowspan="8" align="center">2000&#x2013;2008</td>
<td rowspan="8" align="left">Australia</td>
<td rowspan="8" align="left">496,668</td>
<td align="left">1. New Zealand</td>
<td align="left">1. 17,293</td>
</tr>
<tr>
<td align="left">2. England</td>
<td align="left">2. 15,218</td>
</tr>
<tr>
<td align="left">3. China</td>
<td align="left">3. 14,526</td>
</tr>
<tr>
<td align="left">4. Vietnam</td>
<td align="left">4. 13,835</td>
</tr>
<tr>
<td align="left">5. Lebanon</td>
<td align="left">5. 12,451</td>
</tr>
<tr>
<td align="left">6. Philippines</td>
<td align="left">6. 9,684</td>
</tr>
<tr>
<td align="left">7. India</td>
<td align="left">7. 8,301</td>
</tr>
<tr>
<td align="left">8. Other</td>
<td align="left">8. 103,761</td>
</tr>
<tr>
<td rowspan="7" align="left">Ek&#xe9;us, 2011</td>
<td rowspan="7" align="left">Swedish medical birth register, income and population registers</td>
<td rowspan="7" align="center">1992&#x2013;2005</td>
<td rowspan="7" align="left">Sweden</td>
<td rowspan="7" align="left">1,094,146</td>
<td align="left">1. Western Europe</td>
<td align="left">1. 48,930</td>
</tr>
<tr>
<td align="left">2. Eastern Europe</td>
<td align="left">2. 47,858</td>
</tr>
<tr>
<td align="left">3. Asia</td>
<td align="left">3. 22,748</td>
</tr>
<tr>
<td align="left">4. Latin</td>
<td align="left">4. 13,151</td>
</tr>
<tr>
<td align="left">5. Middle East Asia</td>
<td align="left">5. 65,937</td>
</tr>
<tr>
<td align="left">6. Africa</td>
<td align="left">6. 12,062</td>
</tr>
<tr>
<td align="left">7. Somalia</td>
<td align="left">7. 9,146</td>
</tr>
<tr>
<td align="left">Erenel, 2017</td>
<td align="left">One hospital</td>
<td align="center">2013&#x2013;2016</td>
<td align="left">Turkey</td>
<td align="left">300</td>
<td align="left">Syria</td>
<td align="left">300</td>
</tr>
<tr>
<td align="left">Ess&#xe9;n, 2000</td>
<td align="left">Malm&#xf6; database, Swedish medical birth register</td>
<td align="center">1990&#x2013;1995</td>
<td align="left">Sweden</td>
<td align="left">4,855</td>
<td align="left">All foreign origins</td>
<td align="left">356</td>
</tr>
<tr>
<td align="left">Fuster, 2014</td>
<td align="left">Spanish national institute of statistics</td>
<td align="center">2007&#x2013;2012</td>
<td align="left">Spain</td>
<td align="left">1,874,913</td>
<td align="left">All foreign origins</td>
<td align="left">412,906</td>
</tr>
<tr>
<td rowspan="3" align="left">Gillet, 2014</td>
<td rowspan="3" align="left">Study center for perinatal epidemiology Belgian civil birth registration system</td>
<td rowspan="3" align="center">2204&#x2013;2008</td>
<td rowspan="3" align="left">Belgium</td>
<td rowspan="3" align="left">261,566</td>
<td align="left">1. Low-income countries</td>
<td align="left">1. 8,066</td>
</tr>
<tr>
<td align="left">2. Middle-income countries</td>
<td align="left">2. 41,985</td>
</tr>
<tr>
<td align="left">3. High-income countries</td>
<td align="left">3. 14,549</td>
</tr>
<tr>
<td rowspan="2" align="left">Gould, 2003</td>
<td rowspan="2" align="left">California linked infant birth/death certificate files</td>
<td rowspan="2" align="center">1995&#x2013;1997</td>
<td align="left">1. USA, white</td>
<td align="left">1. 506,365</td>
<td align="left">1. India</td>
<td align="left">1. 12,899</td>
</tr>
<tr>
<td align="left">2. USA, black</td>
<td align="left">2. 104,888</td>
<td align="left">2. Mexico</td>
<td align="left">2. 433,825</td>
</tr>
<tr>
<td align="left">Hsieh, 2011</td>
<td align="left">Birth certificate registration data</td>
<td align="center">1998&#x2013;2003</td>
<td align="left">Taiwan</td>
<td align="left">1,321,770</td>
<td align="left">Not mentioned</td>
<td align="left">93,161</td>
</tr>
<tr>
<td rowspan="2" align="left">Johnson, 2005</td>
<td rowspan="2" align="left">Birth certificate data</td>
<td rowspan="2" align="center">1993&#x2013;2001</td>
<td align="left">1. USA, black</td>
<td align="left">1. 2,384</td>
<td rowspan="2" align="left">Somali</td>
<td rowspan="2" align="left">579</td>
</tr>
<tr>
<td align="left">2. USA, white</td>
<td align="left">2. 2,453</td>
</tr>
<tr>
<td align="left">Kanmaz, 2019</td>
<td align="left">One hospital</td>
<td align="center">2013&#x2013;2016</td>
<td align="left">Turkey</td>
<td align="left">12,198</td>
<td align="left">Syria</td>
<td align="left">4,802</td>
</tr>
<tr>
<td align="left">Kiyak, 2020</td>
<td align="left">One hospital</td>
<td align="center">2016&#x2013;2017</td>
<td align="left">Turkey</td>
<td align="left">940</td>
<td align="left">Syria</td>
<td align="left">616</td>
</tr>
<tr>
<td align="left">Liu, 2019</td>
<td align="left">Swedish pregnancy register</td>
<td align="center">2014&#x2013;2017</td>
<td align="left">Sweden</td>
<td align="left">254,973</td>
<td align="left">Not mentioned</td>
<td align="left">31,897</td>
</tr>
<tr>
<td rowspan="3" align="left">Liu, 2008</td>
<td rowspan="3" align="left">Birth certificates</td>
<td rowspan="3" align="center">2002&#x2013;2007</td>
<td rowspan="3" align="left">Taiwan</td>
<td rowspan="3" align="left">27,077</td>
<td align="left">1. Mainland China</td>
<td align="left">1. 1,483</td>
</tr>
<tr>
<td align="left">2. Indonesia</td>
<td align="left">2. 1,129</td>
</tr>
<tr>
<td align="left">3. Vietnam</td>
<td align="left">3. 1,081</td>
</tr>
<tr>
<td rowspan="2" align="left">Lubotzky-Gete, 2017</td>
<td rowspan="2" align="left">One hospital</td>
<td rowspan="2" align="center">1998&#x2013;2011</td>
<td rowspan="2" align="left">Israel</td>
<td rowspan="2" align="left">63,405</td>
<td align="left">1. Ethiopia</td>
<td align="left">1. 1,667</td>
</tr>
<tr>
<td align="left">2. Former Soviet Union</td>
<td align="left">2. 12,920</td>
</tr>
<tr>
<td rowspan="2" align="left">Madan, 2006</td>
<td rowspan="2" align="left">Birth certificates, perinatal mortality data file</td>
<td rowspan="2" align="center">1995&#x2013;2000</td>
<td rowspan="2" align="left">US-born white</td>
<td rowspan="2" align="left">4,005,671</td>
<td align="left">1. Asian-Indian</td>
<td align="left">1. 76,618</td>
</tr>
<tr>
<td align="left">2. Mexico</td>
<td align="left">2. 1,408,797</td>
</tr>
<tr>
<td rowspan="14" align="left">Malin, 2009</td>
<td rowspan="14" align="left">Finnish medical birth register, statistics Finland</td>
<td rowspan="14" align="center">1999&#x2013;2001</td>
<td rowspan="14" align="left">Finland</td>
<td rowspan="14" align="left">158,469</td>
<td align="left">1. Nordic</td>
<td align="left">1. 475</td>
</tr>
<tr>
<td align="left">2. Western EU</td>
<td align="left">2. 400</td>
</tr>
<tr>
<td align="left">3. Eastern Europe</td>
<td align="left">3. 597</td>
</tr>
<tr>
<td align="left">4. Former Soviet Union, Russia</td>
<td align="left">4. 1,770</td>
</tr>
<tr>
<td align="left">5. Baltic</td>
<td align="left">5. 496</td>
</tr>
<tr>
<td align="left">6. Middle East, North-Africa</td>
<td align="left">6. 310</td>
</tr>
<tr>
<td align="left">7. South Asia</td>
<td align="left">7. 176</td>
</tr>
<tr>
<td align="left">8. China</td>
<td align="left">8. 135</td>
</tr>
<tr>
<td align="left">9. Iran, Iraq, Afghanistan</td>
<td align="left">9. 428</td>
</tr>
<tr>
<td align="left">10. Southeast Asia</td>
<td align="left">10. 336</td>
</tr>
<tr>
<td align="left">11. Vietnam</td>
<td align="left">11. 302</td>
</tr>
<tr>
<td align="left">12. Africa, excl. Somalia, North Africa</td>
<td align="left">12. 169</td>
</tr>
<tr>
<td align="left">13. Somalia</td>
<td align="left">13. 817</td>
</tr>
<tr>
<td align="left">14. Latin America and Caribbean</td>
<td align="left">14. 121</td>
</tr>
<tr>
<td rowspan="6" align="left">Mozooni, 2020</td>
<td rowspan="6" align="left">Perinatal, birth, death, hospital, birth defects registrations</td>
<td rowspan="6" align="center">2005&#x2013;2013</td>
<td rowspan="6" align="left">Australia</td>
<td rowspan="6" align="left">172,571</td>
<td align="left">1. White</td>
<td align="left">1. 48,546</td>
</tr>
<tr>
<td align="left">2. Asia</td>
<td align="left">2. 18,212</td>
</tr>
<tr>
<td align="left">3. India</td>
<td align="left">3. 5,503</td>
</tr>
<tr>
<td align="left">4. Africa</td>
<td align="left">4. 4,155</td>
</tr>
<tr>
<td align="left">5. M&#x101;ori</td>
<td align="left">5. 2,941</td>
</tr>
<tr>
<td align="left">6. Other</td>
<td align="left">6. 9,038</td>
</tr>
<tr>
<td rowspan="8" align="left">Naimy, 2013</td>
<td rowspan="8" align="left">Medical birth registry of Norway, Norwegian central person registry</td>
<td rowspan="8" align="center">1986&#x2013;2005</td>
<td rowspan="8" align="left">Norway</td>
<td rowspan="8" align="left">1062744</td>
<td align="left">1. Pakistan</td>
<td align="left">1. 11,351</td>
</tr>
<tr>
<td align="left">2. Vietnam</td>
<td align="left">2. 6,169</td>
</tr>
<tr>
<td align="left">3. Somalia</td>
<td align="left">3. 5,410</td>
</tr>
<tr>
<td align="left">4. Sri Lanka</td>
<td align="left">4. 4,933</td>
</tr>
<tr>
<td align="left">5. Philippines</td>
<td align="left">5. 4,662</td>
</tr>
<tr>
<td align="left">6. Iraq</td>
<td align="left">6. 3,829</td>
</tr>
<tr>
<td align="left">7. Thailand</td>
<td align="left">7. 3,204</td>
</tr>
<tr>
<td align="left">8. Afghanistan</td>
<td align="left">8. 665</td>
</tr>
<tr>
<td rowspan="8" align="left">Opondo, 2020</td>
<td rowspan="8" align="left">Statutory birth and death registration data for England and Wales, National Health Service Numbers for Babies (NN4B) birth notifications system, office for national statistics</td>
<td rowspan="8" align="center">2006&#x2013;2012</td>
<td rowspan="8" align="left">United Kingdom</td>
<td rowspan="8" align="left">3,009,231</td>
<td align="left">1. White (other)</td>
<td align="left">1. 340,526</td>
</tr>
<tr>
<td align="left">2. India</td>
<td align="left">2. 132,651</td>
</tr>
<tr>
<td align="left">3. Pakistan</td>
<td align="left">3. 180,651</td>
</tr>
<tr>
<td align="left">4. Bangladesh</td>
<td align="left">4. 62,948</td>
</tr>
<tr>
<td align="left">5. Black Caribbean</td>
<td align="left">5. 47,505</td>
</tr>
<tr>
<td align="left">6. Black Africa</td>
<td align="left">6. 154,076</td>
</tr>
<tr>
<td align="left">7. Mixed or other</td>
<td align="left">7. 419,970</td>
</tr>
<tr>
<td align="left">8. Not mentioned</td>
<td align="left">8. 287,756</td>
</tr>
<tr>
<td align="left">Ozel, 2018</td>
<td align="left">One hospital</td>
<td align="center">2015</td>
<td align="left">Turkey</td>
<td align="left">576</td>
<td align="left">Syria</td>
<td align="left">576</td>
</tr>
<tr>
<td rowspan="6" align="left">Racape, 2013</td>
<td rowspan="6" align="left">Birth and death certificates</td>
<td rowspan="6" align="center">1998&#x2013;2008</td>
<td rowspan="6" align="left">Belgium</td>
<td rowspan="6" align="left">39,893</td>
<td align="left">1. Morocco</td>
<td align="left">1. 12,371</td>
</tr>
<tr>
<td align="left">2. Moroccan naturalised</td>
<td align="left">2. 15,108</td>
</tr>
<tr>
<td align="left">3. Sub-Sahara</td>
<td align="left">3. 6,322</td>
</tr>
<tr>
<td align="left">4. Sub-Saharan naturalised</td>
<td align="left">4. 3,070</td>
</tr>
<tr>
<td align="left">5. Turkey</td>
<td align="left">5. 3,185</td>
</tr>
<tr>
<td align="left">6. Turkey naturalised</td>
<td align="left">6. 3,673</td>
</tr>
<tr>
<td rowspan="10" align="left">Racape, 2016</td>
<td rowspan="10" align="left">Birth and death certificates</td>
<td rowspan="10" align="center">1998&#x2013;2010</td>
<td rowspan="10" align="left">Belgium</td>
<td rowspan="10" align="left">1,029,471</td>
<td align="left">1. Western Europe</td>
<td align="left">1. 98,189</td>
</tr>
<tr>
<td align="left">2. Western Europe naturalized Belgian</td>
<td align="left">2. 34,701</td>
</tr>
<tr>
<td align="left">3. Turkey</td>
<td align="left">3. 20,451</td>
</tr>
<tr>
<td align="left">4. Turkey naturalized Belgian</td>
<td align="left">4. 21,878</td>
</tr>
<tr>
<td align="left">5. Maghreb</td>
<td align="left">5. 51,224</td>
</tr>
<tr>
<td align="left">6. Maghreb naturalized Belgian</td>
<td align="left">6. 46,681</td>
</tr>
<tr>
<td align="left">7. Sub-Saharan Africa</td>
<td align="left">7. 26,621</td>
</tr>
<tr>
<td align="left">8. Sub-Saharan Africa naturalized Belgian</td>
<td align="left">8. 11,420</td>
</tr>
<tr>
<td align="left">9. Eastern Europe</td>
<td align="left">9. 17,420</td>
</tr>
<tr>
<td align="left">10. Eastern Europe naturalized Belgian</td>
<td align="left">10. 5,412</td>
</tr>
<tr>
<td align="left">Raimondi, 2013</td>
<td align="left">Public maternity hospital</td>
<td align="center">2009</td>
<td align="left">Argentine</td>
<td align="left">1,000</td>
<td align="left">Not mentioned</td>
<td align="left">1,000</td>
</tr>
<tr>
<td align="left">R&#xe5;ssj&#xf6;, 2013</td>
<td align="left">Records of antenatal and obstetric care</td>
<td align="center">2001&#x2013;2009</td>
<td align="left">Sweden</td>
<td align="left">513</td>
<td align="left">Somali</td>
<td align="left">258</td>
</tr>
<tr>
<td align="left">S&#xf8;rbye, 2014</td>
<td align="left">Statistic Norway, medical birth registry of Norway</td>
<td align="center">1995&#x2013;2010</td>
<td align="left">Norway</td>
<td align="left">712,430</td>
<td align="left">Pakistan</td>
<td align="left">10,615</td>
</tr>
<tr>
<td rowspan="12" align="left">Vang, 2016</td>
<td rowspan="12" align="left">Birth-infant death records</td>
<td rowspan="12" align="center">1990&#x2013;2005</td>
<td rowspan="12" align="left">Canada</td>
<td rowspan="12" align="left">2,856,394</td>
<td align="left">1. United States</td>
<td align="left">1. 41,601</td>
</tr>
<tr>
<td align="left">2. North Africa</td>
<td align="left">2. 17,991</td>
</tr>
<tr>
<td align="left">3. Sub-Saharan Africa</td>
<td align="left">3. 24,339</td>
</tr>
<tr>
<td align="left">4. Haiti</td>
<td align="left">4. 20,057</td>
</tr>
<tr>
<td align="left">5. Non-Spanish Caribbean</td>
<td align="left">5. 10,499</td>
</tr>
<tr>
<td align="left">6. Latin America</td>
<td align="left">6. 38,702</td>
</tr>
<tr>
<td align="left">7. Pakistan</td>
<td align="left">7. 7,500</td>
</tr>
<tr>
<td align="left">8. South Asia</td>
<td align="left">8. 68,558</td>
</tr>
<tr>
<td align="left">9. Central/West Asia</td>
<td align="left">9. 27,491</td>
</tr>
<tr>
<td align="left">10. East/SE Asia</td>
<td align="left">10. 138,024</td>
</tr>
<tr>
<td align="left">11. Europe</td>
<td align="left">11. 108,515</td>
</tr>
<tr>
<td align="left">12. Rest of the world</td>
<td align="left">12. 10,970</td>
</tr>
<tr>
<td align="left">Vangen, 2002</td>
<td align="left">Medical birth registry of Norway</td>
<td align="center">1986&#x2013;1998</td>
<td align="left">Norway</td>
<td align="left">702,192</td>
<td align="left">Somalia</td>
<td align="left">1,733</td>
</tr>
<tr>
<td rowspan="7" align="left">Vangen, 2000</td>
<td rowspan="7" align="left">Medical birth registry of Norway</td>
<td rowspan="7" align="center">1986&#x2013;19958</td>
<td rowspan="7" align="left">Norway</td>
<td rowspan="7" align="left">535,600</td>
<td align="left">1. Turkey, Morocco</td>
<td align="left">1. 2,758</td>
</tr>
<tr>
<td align="left">2. Pakistan</td>
<td align="left">2. 4,929</td>
</tr>
<tr>
<td align="left">3. India, Sri Lanka</td>
<td align="left">3. 2,643</td>
</tr>
<tr>
<td align="left">4. Vietnam</td>
<td align="left">4. 2,704</td>
</tr>
<tr>
<td align="left">5. Philippines</td>
<td align="left">5. 1,985</td>
</tr>
<tr>
<td align="left">6. Horn of Africa</td>
<td align="left">6. 1,406</td>
</tr>
<tr>
<td align="left">7. Chile Brazil</td>
<td align="left">7. 1,466</td>
</tr>
<tr>
<td rowspan="6" align="left">Verschuuren, 2020</td>
<td rowspan="6" align="left">One midwifery practice, hospital databases</td>
<td rowspan="6" align="center">2012&#x2013;2016</td>
<td rowspan="6" align="left">Netherlands</td>
<td rowspan="6" align="left">2,323</td>
<td align="left">1. Eritrea</td>
<td align="left">1. 65</td>
</tr>
<tr>
<td align="left">2. Syria</td>
<td align="left">2. 75</td>
</tr>
<tr>
<td align="left">3. Middle east</td>
<td align="left">3. 75</td>
</tr>
<tr>
<td align="left">4. Sub-Saharan Africa</td>
<td align="left">4. 50</td>
</tr>
<tr>
<td align="left">5. Eastern Europe</td>
<td align="left">5. 43</td>
</tr>
<tr>
<td align="left">6. Other</td>
<td align="left">6. 18</td>
</tr>
<tr>
<td align="left">Vetter, 2013</td>
<td align="left">12 public hospitals</td>
<td align="center">2008</td>
<td align="left">Argentine</td>
<td align="left">9,155</td>
<td align="left">Not mentioned</td>
<td align="left">1,715</td>
</tr>
<tr>
<td align="left">Vik, 2019</td>
<td align="left">Medical birth registry of Norway and statistics Norway</td>
<td align="center">1990&#x2013;2013</td>
<td align="left">Norway</td>
<td align="left">1,136,637</td>
<td align="left">Central Europe, Eastern Europe, Central Asia, Latin America, Caribbean, North Africa, Middle East, South Asia, Sub-Saharan Africa, Southeast Asia, East Asia, Oceania, other</td>
<td align="left">195,725</td>
</tr>
<tr>
<td align="left">Vik, 2020</td>
<td align="left">Medical birth registry of Norway and statistics Norway</td>
<td align="center">1990&#x2013;2016</td>
<td align="left">Norway</td>
<td align="left">66,006</td>
<td align="left">Not mentioned</td>
<td align="left">30,062</td>
</tr>
<tr>
<td rowspan="9" align="left">Villadsen, 2010</td>
<td rowspan="9" align="left">Birth registries or surveys</td>
<td rowspan="9" align="center">1990&#x2013;2005</td>
<td align="left">1. Belgium</td>
<td align="left">1. 238,233</td>
<td rowspan="9" align="left">Turkey</td>
<td rowspan="9" align="left">8,717</td>
</tr>
<tr>
<td align="left">2. Denmark</td>
<td align="left">2. 812,305</td>
</tr>
<tr>
<td align="left">3. Norway</td>
<td align="left">3. 675,387</td>
</tr>
<tr>
<td align="left">4. Sweden</td>
<td align="left">4. 1,344,237</td>
</tr>
<tr>
<td align="left">5. Switzerland</td>
<td align="left">5. 900,875</td>
</tr>
<tr>
<td align="left">6. Austria</td>
<td align="left">6. 408,695</td>
</tr>
<tr>
<td align="left">7. United Kingdom</td>
<td align="left">7. 1,037,348</td>
</tr>
<tr>
<td align="left">8. Germany</td>
<td align="left">8. 1,296,798</td>
</tr>
<tr>
<td align="left">9. Netherland</td>
<td align="left">9. 935,858</td>
</tr>
<tr>
<td rowspan="5" align="left">Villadsen, 2009</td>
<td rowspan="5" align="left">Danish medical birth registry, causes of death registry and socioeconomic and demographic data</td>
<td rowspan="5" align="center">1981&#x2013;2003</td>
<td rowspan="5" align="left">Denmark</td>
<td rowspan="5" align="left">1,278,539</td>
<td align="left">1. Turkey</td>
<td align="left">1. 22,717</td>
</tr>
<tr>
<td align="left">2. Lebanon</td>
<td align="left">2. 9,280</td>
</tr>
<tr>
<td align="left">3. Pakistan</td>
<td align="left">3. 8,481</td>
</tr>
<tr>
<td align="left">4. Former Yugoslavia</td>
<td align="left">4. 8,020</td>
</tr>
<tr>
<td align="left">5. Somali</td>
<td align="left">5. 6,415</td>
</tr>
<tr>
<td align="left">Wanigaratne, 2018</td>
<td align="left">IRCC-PRD, Ontario&#x2019;s healthcare registry, abstract database, general&#x2019;s vital statistics- death registry</td>
<td align="left">2002&#x2013;2014</td>
<td align="left">Canada</td>
<td align="left">29,023</td>
<td align="left">Not mentioned</td>
<td align="left">29,023</td>
</tr>
<tr>
<td rowspan="5" align="left">Zanconato, 2011</td>
<td rowspan="5" align="left">One public hospital</td>
<td rowspan="5" align="center">2005&#x2013;2009</td>
<td rowspan="5" align="left">Italy</td>
<td rowspan="5" align="left">6,365</td>
<td align="left">1. Central and Eastern Europe</td>
<td align="left">1. 1,001</td>
</tr>
<tr>
<td align="left">2. South and East Asia</td>
<td align="left">2. 539</td>
</tr>
<tr>
<td align="left">3. Middle East and North Africa</td>
<td align="left">3. 460</td>
</tr>
<tr>
<td align="left">4. Sub-Saharan Africa</td>
<td align="left">4. 448</td>
</tr>
<tr>
<td align="left">5. Central and South America</td>
<td align="left">5. 213</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Meta-Analysis of Outcomes</title>
<p>A total of 31 studies [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B57">57</xref>] reported stillbirth in 12,232 out of 2,715,308 immigrant women and 72,100 out of 19,262,686 native-origin women. Although there were statistical significant heterogenicities in the studies (I-squared &#x3d; 95.5%), no publication bias was found (Harbord test <italic>p</italic> value &#x3d; 0.160). The pooled risk of stillbirth among immigrant women was 1.35 folds higher than that of native-origin women (Pooled OR &#x3d; 1.35, 95% CI &#x3d; 1.22&#x2013;1.50) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Forest plot of the pooled odds ratio of stillbirth. (Risk of stillbirth, perinatal and neonatal mortality in immigrant women, worldwide, 2021).</p>
</caption>
<graphic xlink:href="ijph-67-1604479-g002.tif"/>
</fig>
<p>A total of 17 studies [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B56">56</xref>] reported the perinatal mortality among 4,399 out of 487,508 immigrant women and 30,838 out of 3,859,199 native-origin women. However, heterogeneity (I-squared &#x3d; 87.1%) without publication bias (Harbord test <italic>p</italic> value &#x3d; 0.340) was found across the studies. The pooled risk of perinatal mortality among immigrant women was significantly 1.5 folds higher than native-origin women (Pooled OR &#x3d; 1.50, 95% CI &#x3d; 1.35&#x2013;1.68) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Forest plot of the pooled odds ratio of perinatal mortality. (Risk of stillbirth, perinatal and neonatal mortality in immigrant women, worldwide, 2021).</p>
</caption>
<graphic xlink:href="ijph-67-1604479-g003.tif"/>
</fig>
<p>A total of 14 studies [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B48">48</xref>] reported neonatal mortality among 12,491 out of 5,216,619 immigrant women and 70,464 out of 16,991,984 native-origin women. Statistically significant heterogenicities (I-squared &#x3d; 93.6%), without publication bias were found (Harbord test <italic>p</italic> value &#x3d; 0.211) in the studies. Although immigrant women faced a greater risk of neonatal morbidity compared to native-origin women, its risk was not statistically significant (Pooled OR &#x3d; 1.09, 95% CI &#x3d; 1.00&#x2013;1.19) (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Forest plot of the pooled odds ratio of neonatal mortality. (Risk of stillbirth, perinatal and neonatal mortality in immigrant women, worldwide, 2021).</p>
</caption>
<graphic xlink:href="ijph-67-1604479-g004.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Sensitivity Analysis</title>
<p>Sensitivity analysis was performed to show the influence of each individual study on the overall meta-analyses&#x2019; summary estimates. All results were highly consistent with the main data analysis&#x2019; results and no substantial modification of the estimates of change was found after the exclusion of any individual study (<xref ref-type="sec" rid="s7">Supplementary Figures S1A&#x2013;C</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The results of this systematic review and meta-analysis revealed that the risk of stillbirth, perinatal and neonatal mortality increased among immigrant women compare to native-origin women in host countries.</p>
<p>Despite advances in antenatal and intrapartum care, perinatal mortality continues to be a major burden on the healthcare system. It can have devastating impacts on parents because of its unexpected nature [<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>]. Adverse outcomes are multifactorial with a number of issues appearing to coalesce to immigrant women. Our review showed that immigrant women represented a high-risk group for stillbirth and perinatal mortality, which needed special care and attention during pregnancy and childbirth. Maternal background factors cause poorer outcomes in immigrant women. These women have medical problems such as infectious diseases or female genital mutilation leading to complications for themselves and their newborns [<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>]. Immigrant women have a poor access to maternity and public healthcare services in host countries [<xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B65">65</xref>], which can increase the risk of mortality among their newborns due to maternal disorders, unintended pregnancy, grand multiparity and teenage pregnancies [<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>], preterm birth [<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>], and undiagnosed congenital fetal anomalies [<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>].</p>
<p>Health immigration policies of host countries and the immigrant legal status appear to influence their access to maternity health services. Those women without a legal resident permit are most vulnerable [<xref ref-type="bibr" rid="B67">67</xref>]. Gieles et al (2019) in a systematic review stated that positive integration policies without discrimination and adoption to the host-country nationality decreased perinatal mortality and morbidity among immigrant women and their newborns [<xref ref-type="bibr" rid="B69">69</xref>]. Additionally, late booking and delayed utilization of prenatal care with the presence of cultural and language barriers hinder appropriate access to healthcare services by immigrant women leading to higher mortality among their newborns compared to native-origin women [<xref ref-type="bibr" rid="B63">63</xref>]. Despite free access to maternity care in host countries, immigrant women usually utilize less antenatal care [<xref ref-type="bibr" rid="B72">72</xref>]. Poor communication between these women and healthcare providers in host countries such as unsupported and fearful interactions, being rude, discriminatory or insensitive to their specific needs can lead to late booking or delay in the use of maternity care services, which have negative impacts on prenatal care utilization [<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B73">73</xref>]. Cultural issues regarding prenatal or antenatal care as the facet of medicalization of childbirth care among immigrant women and different understanding of health and diseases hinder appropriate healthcare interventions in delivery, which are accompanied with higher stillbirth or perinatal mortality incidents in immigrant women [<xref ref-type="bibr" rid="B62">62</xref>].</p>
<p>It has been well documented that socio-economically vulnerable populations exhibit a higher mortality rate [<xref ref-type="bibr" rid="B74">74</xref>]. Immigrant women also experience a larger burden of poverty-related adverse circumstances such as the low social level, unhealthy lifestyle and behavior, malnutrition, which can play significant roles in poorer mortality outcomes among these women [<xref ref-type="bibr" rid="B73">73</xref>&#x2013;<xref ref-type="bibr" rid="B75">75</xref>]. Consistently, perinatal mortality in immigrants from low-income settings of conflicting countries and having economic hardship generally occur more frequently that in the host population [<xref ref-type="bibr" rid="B67">67</xref>].</p>
<p>Although it is not most certainly observed in every immigrant group in every host nation, immigrants have often lower education levels and are more often single parents. Therefore, they have the risk factors of perinatal morbidity and stillbirth [<xref ref-type="bibr" rid="B76">76</xref>].</p>
<p>Studies mostly show that immigrant women are relatively younger than native-origin women [<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>], which may support the &#x201c;healthy migrant&#x201d; hypothesis, suggesting that the health of immigrants prior to immigration may be better than the health of the general population in both the sending and the receiving countries [<xref ref-type="bibr" rid="B80">80</xref>]. However, information on the higher rate of perinatal and neonatal mortality and stillbirth among immigrant women can be translated to health disparities that need more attention by healthcare organizations, regulatory bodies, educational institutions, and the society.</p>
<p>The results of our review should be interpreted with caution. Given the lack of data in the included studies, we could not adjust the legal status, reason for immigration, and length of the residence of immigrant women as well as background factors of immigrants and native-origin populations. Also, most data used in this review were based on population and health-related registers, which typically lacked detailed background data on women and their newborns. The frequent movement of immigrants usually leads to less complete registrations of their health status.</p>
<p>In conclusion, our review showed that immigrant women and their newborns had the higher risk of stillbirth, and perinatal and neonatal mortality compared to native-origin women. The result of sensitivity analyses supported the stability and robustness of our review results. Healthcare providers and policy makers should improve the provision of maternal and neonatal healthcare for the immigrant population.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Author Contributions</title>
<p>SB-G conceptualized the study and designed the protocol. SB-G, MV, and AM ran the search and oversaw screening, data extraction and assessment of bias. RB-Y conducted the statistical data analysis. SB-G drafted the manuscript, while IGK, PP, RB-Y, MHP, AM, and MV reviewed the draft and provided critical feedback. All authors read and approved the final manuscript. The corresponding author SB-G, as guarantor, accepts full responsibility for the finished article, has access to any data and controlled the decision to publish. The corresponding author SB-G attests that all listed authors meet the authorship criteria and that no others meeting the criteria have been omitted.</p>
</sec>
<sec sec-type="COI-statement" id="s6">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<ack>
<p>Nord University, Bod&#xf8;, Norway covered the processing charge to this article.</p>
</ack>
<sec id="s7">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604479/full#supplementary-material">https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604479/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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