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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Glob. Womens Health</journal-id>
<journal-title>Frontiers in Global Women's Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Glob. Womens Health</abbrev-journal-title>
<issn pub-type="epub">2673-5059</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgwh.2023.1267156</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Global Women's Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Immigration and C-sections incidence: Maternal care and perinatal outcomes in the context of the pandemic in Chile</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Carroza Escobar</surname><given-names>Mar&#x00ED;a Bego&#x00F1;a</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Silva</surname><given-names>Nicole</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Ort&#x00ED;z-Contreras</surname><given-names>Jovita</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Villegas</surname><given-names>Rodrigo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Vargas</surname><given-names>Sergio L.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/739122/overview" />
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<contrib contrib-type="author"><name><surname>N&#x00FA;&#x00F1;ez</surname><given-names>Claudio</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Vergara Maldonado</surname><given-names>Luis Felipe</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Villanueva</surname><given-names>Loreto Paola</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label><sup>1</sup></label><institution>Programa de Doctorado en Salud P&#x00FA;blica, Escuela de Salud P&#x00FA;blica, Facultad de Medicina, Universidad de Chile</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Departamento de Promoci&#x00F3;n de la Salud de la Mujer y el Reci&#x00E9;n Nacido, Facultad de Medicina, Universidad de Chile</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Servicio de Ginecolog&#x00ED;a y Obstetricia, Complejo Hospitalario San Jos&#x00E9;, Servicio de Salud Metropolitano Norte</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Programa de Bioestad&#x00ED;stica, Escuela de Salud P&#x00FA;blica, Facultad de Medicina, Universidad de Chile</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Programa de Microbiolog&#x00ED;a, Instituto de Ciencias Biom&#x00E9;dicas, Facultad de Medicina, Universidad de Chile</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>Programa de MBA con Especializaci&#x00F3;n en Salud, Instituto de Salud P&#x00FA;blica, Universidad Andr&#x00E9;s Bello</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Ramon Escuriet, Blanquerna Ramon Llull University, Spain</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Laura Rodellar Merino, University General Hospital of Catalonia, Spain Francesca Palestra, World Health Organization, Switzerland</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Loreto Paola Villanueva <email>loreto.villanueva@uchile.cl</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>22</day><month>11</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>4</volume><elocation-id>1267156</elocation-id>
<history>
<date date-type="received"><day>26</day><month>07</month><year>2023</year></date>
<date date-type="accepted"><day>09</day><month>10</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Carroza Escobar, Silva, Ort&#x00ED;z-Contreras, Villegas, Vargas, N&#x00FA;&#x00F1;ez, Vergara Maldonado and Villanueva.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Carroza Escobar, Silva, Ort&#x00ED;z-Contreras, Villegas, Vargas, N&#x00FA;&#x00F1;ez, Vergara Maldonado and Villanueva</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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><sec><title>Introduction</title>
<p>Immigration has increased significantly in Chile. Despite that all pregnant women, regardless of nationality and immigration status, have the right to access to all healthcare services during pregnancy, childbirth, and postpartum, inequities in health care outcomes and health provision have been reported. During COVID-19 pandemic, these inequities are completely unknown.</p>
</sec><sec><title>Objective</title>
<p>The aim of this study was to compare the incidence of c-sections according to mother&#x0027;s migration status, as well as other maternal care and perinatal outcomes in women giving birth at San Jos&#x00E9; Hospital in Santiago, Chile, during the COVID-19 pandemic.</p>
</sec><sec><title>Methods</title>
<p>A retrospective cohort study was designed including 10,166 registered single births at the San Jos&#x00E9; Hospital between March 2020 and August 2021. To compare between groups, statistical tests such as Chi-square and Fisher&#x0027;s exact were used. Log Binomial regression models were performed adjusted for potential confounding variables. To estimate the strength of association the relative risk was used.</p>
</sec><sec><title>Results</title>
<p>Immigrant mothers account for 48.1&#x0025; of the registered births. Compared to non-immigrant women, immigrants exhibit a higher proportion of c-section, specifically, emergency c-section (28.64&#x0025; vs. 21.10&#x0025;; <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.001) but a lower proportion of and having a preterm birth (8.24&#x0025; vs. 13.45&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), receiving personalized childbirth care (13.02&#x0025; vs. 14.60&#x0025;; <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05), companion during labor and childbirth (77.1&#x0025; vs. 86.95&#x0025;; <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.001), And postpartum attachment to newborn (73&#x0025; vs. 79.50&#x0025;; <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.001). The proportion of COVID exposure was not significant between groups, not the severity also. Haitians had a highest risk of undergoing emergency c-section (aRR&#x2009;&#x003D;&#x2009;1.61) and Venezuelans had a highest risk of elective c-section (aRR&#x2009;&#x003D;&#x2009;2.18) compared to non-immigrants.</p>
</sec><sec><title>Conclusion</title>
<p>This study reports high rates of c-sections in the entire population, but in immigrant populations it is even higher. Additionally, it found gaps in maternal care and perinatal outcomes between immigrants and non-immigrants. More studies are needed to elucidate the possible causes of these differences and establish new regulations to protect the reproductive rights of the immigrant population.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID</kwd>
<kwd>immigrant women</kwd>
<kwd>cesarean sections</kwd>
<kwd>maternal care</kwd>
<kwd>pregnancy</kwd>
<kwd>perinatal outcomes</kwd>
</kwd-group><counts>
<fig-count count="3"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="28"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Maternal Health</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1.</label><title>Introduction</title>
<p>Immigration has increased significantly in Chile. In 20 years, it went from being 0.8&#x0025; in 1992, to 7.5&#x0025; in 2021 (<xref ref-type="bibr" rid="B1">1</xref>), however, due to their demographic characteristics, immigrants&#x0027; mothers account for the 16.4&#x0025; of live births, with the top five maternal nationalities being Haiti (21.6&#x0025;), Venezuela (17.1&#x0025;), Peru (12.5&#x0025;), Bolivia (7.9&#x0025;), and Colombia (6.8&#x0025;) (<xref ref-type="bibr" rid="B2">2</xref>). Some international studies have reported higher C-section rates among the immigrant population compared to the local population (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). While the causes for these higher rates remain unknown, certain risk factors have been identified, such as language or communication barriers, inadequate prenatal care even after a shorter stay in the host country, socioeconomic status, and lack of health insurance (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Chile is one of the few countries in Latin America and the Caribbean that has reached the advanced stage of the obstetric transition (<xref ref-type="bibr" rid="B7">7</xref>). One of the major challenges at this stage is the excessive obstetric interventionism and medicalization of childbirth, as a consequence, Chile has one of the highest rates of c-sections in the region, reaching 43.1&#x0025; of total births in the public system in 2020 (<xref ref-type="bibr" rid="B8">8</xref>). Moreover, an increasing rate of obesity in women of childbearing age (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), delayed pregnancy, and barriers to access to healthcare for the immigrant population (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>), are urgent priorities to be addressed.</p>
<p>COVID-19 has been associated with an increase in adverse maternal and perinatal health conditions, such as preterm birth and maternal hospitalization (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). According to Haye et al., during the pandemic, there was an observed increase in C-section rates (<xref ref-type="bibr" rid="B16">16</xref>). However, it remains unclear whether this increase is due to the perinatal consequences of COVID-19 or changes in medical decision-making regarding C-section practice, or the impact of other factors such as immigration (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>In Chile, pregnant women, regardless of nationality and immigration status, have access to all healthcare services during their pregnancy, childbirth, and up to 12 months postpartum within the public system (<xref ref-type="bibr" rid="B18">18</xref>). Despite immigrants having the same rights as the non-immigrant population, the inequities in health care and health outcomes are unknown.</p>
<p>At the beginning of the pandemic period, hospitals modified protocols to reduce the spread of the virus, so the maternal care provision changed, visitors were prohibited, companionship during labor and childbirth was reduced and the attachment to the baby was restricted in mothers with COVID-19. Due to the concern of hospital collapse because of the excess of COVID-19 cases and high levels of stress or depression observed in mothers giving birth (<xref ref-type="bibr" rid="B19">19</xref>), providing a positive birth experience was a challenge.</p>
<p>The aim of this study was to compare the incidence of C-sections, obstetric and neonatal outcomes according to the mother&#x0027;s migration status when giving birth at San Jos&#x00E9; Hospital in Santiago, Chile, during the COVID-19 pandemic.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2.</label><title>Methods</title>
<sec id="s2a"><label>2.1.</label><title>Study design and population</title>
<p>A retrospective cohort study was designed including 10,166 registered single births at the <italic>San Jos&#x00E9; Hospital</italic> between March 2020 (pandemic&#x0027;s starting date in Chile) and August 2021 (before the vaccination of pregnant women began) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). The San Jos&#x00E9; Hospital is a high complexity public&#x0027;s health provider, serving a population of approximately 1.2 million. Nearly 50&#x0025; of pregnant women are immigrants according to previous reports, with the most common nationalities being Haiti, Venezuela, and Peru. The data was obtained from the systematized clinical records. The diagnosis of COVID-19 was made using Polymerase Chain Reaction (PCR). At the beginning of the pandemic, the PCR test was performed as screening on patients with clinical symptoms. Subsequently, from May 2020 the PCR was taken preventively to all hospitalized patients admitted to the hospital. That means that asymptomatic patients could be undiagnosed, in consequence, a slight underestimation of the parameter within the first two months is expected.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Universe and sample included in this cohort study. Santiago, Chile.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-04-1267156-g001.tif"/>
</fig>
</sec>
<sec id="s2b"><label>2.2.</label><title>Instrument and variables</title>
<p>The data was gathered from the hospital&#x0027;s clinical record and the women&#x0027;s health agenda, which includes historical records of pregnancy check-ups.</p>
<sec id="s2b1"><label>2.2.1.</label><title>Exposure variables</title>
<p>The data was analyzed in terms of non-immigrant and immigrant status (non-immigrant&#x2009;&#x003D;&#x2009;0, immigrant&#x2009;&#x003D;&#x2009;1). Then, specific analyses were conducted considering the most prevalent nationalities, pair comparison such as Haitians with non-immigrants, Venezuelan with non-immigrants, and finally, immigrants from other nationalities were included in comparison to non-immigrants.</p>
</sec>
<sec id="s2b2"><label>2.2.2.</label><title>Outcome variables</title>
<p>The main outcome variable of this study was the type of delivery, categorized as vaginal birth, forceps-assisted vaginal birth, elective c-section, and emergency c-section. For a separate analysis of elective c-section and emergency c-section categories, vaginal birth (including forceps-assisted births) was used as the reference.</p>
<p>Maternal care variables are personalized childbirth care, labor and childbirth companion, postpartum attachment to newborns (defined as the immediate connection that occurs once the baby is born, involving skin-to-skin contact with the mother and the promotion of the first breastfeeding within the first 30&#x2005;min and a maximum of one hour) (<xref ref-type="bibr" rid="B20">20</xref>). Finally, neonatal variables include newborn sex (female, male, undefined), Apgar score, gestational weeks at birth, and newborn weight and height.</p>
</sec>
<sec id="s2b3"><label>2.2.3.</label><title>Covariables</title>
<p>Clinical variables related to COVID-19 include severity of exposure illness (non-COVID, mild illness, moderate illness, and severe illness) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>), critical patient unit (CPT), pneumonia, mechanical ventilation, prone position, pulmonary embolism (TEP), and hospitalization based on disease severity. Other maternal covariables are maternal obesity and labor induction.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Case management protocol of SARS-CoV-2 virus (COVID-19) during pregnancy, puerperium, and mother-baby dyad care at the San Jos&#x00E9; hospital, in Santiago of Chile.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-04-1267156-g002.tif"/>
</fig>
<p>Sociodemographic variables include age (in years) and type of health insurance (FONASA is the State-run health service founded by public taxes and the 7&#x0025; of the income deduction; private insurance is funded using the contributions of their members).</p>
</sec>
</sec>
<sec id="s2c"><label>2.3.</label><title>Statistical analysis</title>
<p>Categorical variables were presented as frequency and percentage, while quantitative variables were categorized. To compare between groups, statistical tests such as Chi-square and Fisher&#x0027;s exact test (with less than 5 observations) were used, considering a <italic>p</italic>-value &#x003C;0.05 as significant. Log Binomial multivariable regression models were used to calculate risk ratios (RRs) crude and adjusted for potential confounding variables to estimate the strength of association between nationality variable and types of c-section (elective and emergency). The data were analyzed using Stata software version 18.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3.</label><title>Results</title>
<p>10,166 births were registered at the San Jos&#x00E9; Hospital within the study period. The immigrant population was 48.12&#x0025; (<italic>n</italic>&#x2009;&#x003D;&#x2009;4,892), the most prevalent countries of origin were Haiti 36.41&#x0025; (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,781), Peru 24.9&#x0025; (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,218), and Venezuela 19.91&#x0025; (<italic>n</italic>&#x2009;&#x003D;&#x2009;974).</p>
<p>Immigrants have a lower percentage of women under 19 years-old compared to non-immigrant group (4.03&#x0025; vs. 8.76&#x0025; respectively; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) and a higher proportion of women aged 35 years-old and more, although this difference was not statistically significant.</p>
<p>A significant difference was found in the type of health insurance between the two groups. Immigrants register a higher percentage of enrollment to FONASA A compared to non-immigrants (80.09&#x0025; vs. 55.46&#x0025;, respectively), but a lower proportion of enrollment to FONASA B and C compared to non-immigrant women. Non-significant differences were found in private health insurance (ISAPRE) between the groups.</p>
<p>Regarding parity, a higher percentage of immigrant women were primiparous compared to non-immigrants (38.88&#x0025; vs. 30.24&#x0025; respectively; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). A significant difference was found in body mass index (BMI) between the two groups. Immigrants has a lower percentage of obesity (BMI 30 or more), compared to non-immigrant women (53.85&#x0025; vs. 70.05&#x0025;, respectively; <italic>p</italic>-value &#x003C;0.001). No significant differences were found in the prevalence of COVID-19 between both groups (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Sample characterization. Cohort of 10,166 single births at the hospital San Jos&#x00E9; in Santiago of Chile between March 2020 to August 2022.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2"/>
<th valign="top" align="center">Non-immigrant pregnancy<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;5,274)</th>
<th valign="top" align="center">Immigrant pregnancy<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;4,892)</th>
<th valign="top" align="center">Total</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></th>
</tr>
<tr>
<th valign="top" align="center">n (&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Age</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;19 years-old</td>
<td valign="top" align="center">462 (8.76)</td>
<td valign="top" align="center">197 (4.03)</td>
<td valign="top" align="center">659 (6.49)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">20 to 34 years-old</td>
<td valign="top" align="center">3,918 (74.30)</td>
<td valign="top" align="center">3,756 (76.86)</td>
<td valign="top" align="center">7,674 (75.53)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">35 and more</td>
<td valign="top" align="center">893 (16.94)</td>
<td valign="top" align="center">934 (19.11)</td>
<td valign="top" align="center">1,827 (17.98)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">COVID</td>
</tr>
<tr>
<td valign="top" align="left">Non exposed to COVID</td>
<td valign="top" align="center">4,890 (97.72)</td>
<td valign="top" align="center">4,564 (93.30)</td>
<td valign="top" align="center">9,454 (93)</td>
<td valign="top" align="center">&#x003C;0.255</td>
</tr>
<tr>
<td valign="top" align="left">Exposed to COVID</td>
<td valign="top" align="center">384 (7.28)</td>
<td valign="top" align="center">328 (6.70)</td>
<td valign="top" align="center">712 (7.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Health Insurance<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FONASA A</td>
<td valign="top" align="center">2,924 (55.46)</td>
<td valign="top" align="center">3,918 (80.09)</td>
<td valign="top" align="center">6,842 (67.32)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FONASA B</td>
<td valign="top" align="center">999 (18.95)</td>
<td valign="top" align="center">347 (7.09)</td>
<td valign="top" align="center">1,346 (13.24)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FONASA C</td>
<td valign="top" align="center">568 (10.77)</td>
<td valign="top" align="center">347 (7.09)</td>
<td valign="top" align="center">915 (9.00)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FONASA D</td>
<td valign="top" align="center">607 (11.51)</td>
<td valign="top" align="center">203 (4.15)</td>
<td valign="top" align="center">810 (7.97)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Private (ISAPRE)</td>
<td valign="top" align="center">77 (1.46)</td>
<td valign="top" align="center">77 (1.57)</td>
<td valign="top" align="center">154 (1.52)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Parity</td>
</tr>
<tr>
<td valign="top" align="left">Primipara</td>
<td valign="top" align="center">1,595 (30.24)</td>
<td valign="top" align="center">1,902 (38.88)</td>
<td valign="top" align="center">3,497 (34.40)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Multipara</td>
<td valign="top" align="center">3,679 (69.76)</td>
<td valign="top" align="center">2,990 (61.12)</td>
<td valign="top" align="center">2,990 (61.12)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Obesity preganancy</td>
</tr>
<tr>
<td valign="top" align="left">BMI&#x2009;&#x003C;&#x2009;30</td>
<td valign="top" align="center">436 (29.95)</td>
<td valign="top" align="center">623 (46.15)</td>
<td valign="top" align="center">1,059 (37,74)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">BMI&#x2009;&#x2265;&#x2009;30</td>
<td valign="top" align="center">1,020 (70.05)</td>
<td valign="top" align="center">727 (53.85)</td>
<td valign="top" align="center">1,747 (62.26)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label>&#x002A;</label>
<p>Statistically significant <italic>p</italic>-value &#x003C;0.05 <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn>
<fn id="table-fn2"><label>&#x002A;&#x002A;</label>
<p>FONASA is the public system and is funded by taxes, providing free or subsidized care for those who cannot afford private health insurance. Classification according to FONASA in 2020. <ext-link ext-link-type="uri" xlink:href="https://www.fonasa.cl/sites/fonasa/noticia/nuevos_tramos_Fonasa_2020">https://www.fonasa.cl/sites/fonasa/noticia/nuevos_tramos_Fonasa_2020</ext-link> FONASA A (lack income or a formal job); FONASA B (income equal to or less than the minimum wage &#x0024;319,000 Chilean peso in March 2020); FONASA C (Monthly income greater than &#x0024;319,000.&#x2014;and less than or equal to &#x0024;465,740 Chilean pesos); FONASA D (People who receive a monthly taxable income greater than &#x0024;465,740 Chilean peso).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Immigrant women had a higher proportion of c-sections compared to non-immigrant women, specifically emergency c-sections (28.64&#x0025; vs. 21.10&#x0025;; <italic>p</italic>-value &#x003C;0.001). In contrast, vaginal births were more frequent in non-immigrant women (69.6&#x0025;).</p>
<p>Regarding maternal care provision, immigrant women registered a significantly smaller percentage of receiving personalized care or having a companion compared to non-immigrant women, and had less postpartum attachment with their babies, compared to immigrant women. Furthermore, immigrants have a lower proportion of preterm births compared with non-immigrants (<italic>p</italic>-value &#x003C;0.001) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Comparison of obstetric and perinatal outcomes between non-immigrant and immigrant pregnant women in the context of a COVID-19 pandemic. Hospital San Jos&#x00E9;, Santiago of Chile. March 2020 to August 2022.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Birth outcomes</th>
<th valign="top" align="center">Non-immigrant pregnancy<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;5,274)</th>
<th valign="top" align="center">Immigrant pregnancy<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;4,892)</th>
<th valign="top" align="center" rowspan="2">Total</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Conduct of labor</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">2,458 (46.61)</td>
<td valign="top" align="center">2,272 (46.44)</td>
<td valign="top" align="center">4,730 (46.53)</td>
<td valign="top" align="center">&#x003C;0.869</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2,816 (53.39)</td>
<td valign="top" align="center">2,620 (53.56)</td>
<td valign="top" align="center">5,436 (53.47)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Induction of labor</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4,367 (82.80)</td>
<td valign="top" align="center">4,053 (82.85)</td>
<td valign="top" align="center">8,420 (82.83)</td>
<td valign="top" align="center">&#x003C;0.950</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">907 (17.20)</td>
<td valign="top" align="center">839 (17.15)</td>
<td valign="top" align="center">1,746 (17.17)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Monitoring of labor</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">803 (15.23)</td>
<td valign="top" align="center">727 (14.86)</td>
<td valign="top" align="center">1,530 (15.05)</td>
<td valign="top" align="center">&#x003C;0.607</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4,471 (84.77)</td>
<td valign="top" align="center">4,165 (85.14)</td>
<td valign="top" align="center">8,636 (84.95)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Personalized childbirth care</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4,504 (85.40)</td>
<td valign="top" align="center">4,255 (86.98)</td>
<td valign="top" align="center">8,759 (86.16)</td>
<td valign="top" align="center">&#x003C;0.021<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">770 (14.60)</td>
<td valign="top" align="center">637 (13.02)</td>
<td valign="top" align="center">1,407 (13.84)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Labor and childbirth companion</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">688 (13.05)</td>
<td valign="top" align="center">1,120 (22.89)</td>
<td valign="top" align="center">1,808 (17.78)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4,586 (86.95)</td>
<td valign="top" align="center">3,772 (77.11)</td>
<td valign="top" align="center">8,358 (82.22)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Birth type of delivery</td>
</tr>
<tr>
<td valign="top" align="left">Vaginal birth</td>
<td valign="top" align="center">3,671 (69.61)</td>
<td valign="top" align="center">3,005 (61.43)</td>
<td valign="top" align="center">6,676 (65.67)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Forceps-assited birth</td>
<td valign="top" align="center">64 (1.21)</td>
<td valign="top" align="center">66 (1.35)</td>
<td valign="top" align="center">130 (1.28)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Elective c-section</td>
<td valign="top" align="center">426 (8.08)</td>
<td valign="top" align="center">420 (8.59)</td>
<td valign="top" align="center">846 (8.32)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Emergency c-section</td>
<td valign="top" align="center">1,113 (21.10)</td>
<td valign="top" align="center">1,401 (28.64)</td>
<td valign="top" align="center">2,524 (24.73)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Fetal position at birth</td>
</tr>
<tr>
<td valign="top" align="left">Cephalic</td>
<td valign="top" align="center">5,054 (95.90)</td>
<td valign="top" align="center">4,738 (96.91)</td>
<td valign="top" align="center">9,792 (96.32)</td>
<td valign="top" align="center">&#x003C;0.024<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Podalic</td>
<td valign="top" align="center">193 (3.67)</td>
<td valign="top" align="center">136 (2.79)</td>
<td valign="top" align="center">329 (3.24)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Transverse</td>
<td valign="top" align="center">23 (0.44)</td>
<td valign="top" align="center">15 (0.31)</td>
<td valign="top" align="center">38 (0.37)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Postpartum attachment to newborns</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1,081 (20.50)</td>
<td valign="top" align="center">1,321 (27.00)</td>
<td valign="top" align="center">2,402 (23.63)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4,193 (79.50)</td>
<td valign="top" align="center">3,571 (73.00)</td>
<td valign="top" align="center">7,764 (76.37)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Newborn condition</td>
</tr>
<tr>
<td valign="top" align="left">Live birth</td>
<td valign="top" align="center">5,240 (99.36)</td>
<td valign="top" align="center">4,846 (99.06)</td>
<td valign="top" align="center">10,086 (99.21)</td>
<td valign="top" align="center">&#x003C;0.092</td>
</tr>
<tr>
<td valign="top" align="left">Stillbirth</td>
<td valign="top" align="center">34 (0.64)</td>
<td valign="top" align="center">46 (0.94)</td>
<td valign="top" align="center">80 (0.79)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Maternal mortality</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,270 (99.92)</td>
<td valign="top" align="center">4,889 (99.94)</td>
<td valign="top" align="center">10,159 (99.93)</td>
<td valign="top" align="center">&#x003C;0.541</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4 (0.08)</td>
<td valign="top" align="center">3 (0.06)</td>
<td valign="top" align="center">7 (0.07)</td>
<td valign="top" align="center">Fisher&#x0027;s exact</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Classification by gestational weeks</td>
</tr>
<tr>
<td valign="top" align="left">Term (&#x2265;37 Weeks)</td>
<td valign="top" align="center">4,570 (86.65)</td>
<td valign="top" align="center">4,489 (91.76)</td>
<td valign="top" align="center">9,059 (89.11)</td>
<td valign="top" align="center">&#x003C;0.000<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Moderate (32&#x2013;36 weeks)</td>
<td valign="top" align="center">582 (11.04)</td>
<td valign="top" align="center">304 (6.21)</td>
<td valign="top" align="center">886 (8.72)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Very Preterm (28&#x2013;31 Weeks)</td>
<td valign="top" align="center">79 (1.50)</td>
<td valign="top" align="center">43 (0.88)</td>
<td valign="top" align="center">122 (1.20)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extremely (&#x003C;28 weeks)</td>
<td valign="top" align="center">43 (0.82)</td>
<td valign="top" align="center">56 (1.14)</td>
<td valign="top" align="center">99 (0.97)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Classification by birthweight</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">4,760 (90.25)</td>
<td valign="top" align="center">4,485 (91.68)</td>
<td valign="top" align="center">9,245 (90.94)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Low birthweght</td>
<td valign="top" align="center">420 (7.96)</td>
<td valign="top" align="center">311 (6.36)</td>
<td valign="top" align="center">731 (7.19)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Very low birtweight</td>
<td valign="top" align="center">53 (1.00)</td>
<td valign="top" align="center">37 (0.76)</td>
<td valign="top" align="center">90 (0.89)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extremely low birthweight</td>
<td valign="top" align="center">41 (0.78)</td>
<td valign="top" align="center">59 (1.21)</td>
<td valign="top" align="center">100 (0.98)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">APGAR at 1&#x2005;min</td>
</tr>
<tr>
<td valign="top" align="left">Normal (&#x003E;7)</td>
<td valign="top" align="center">5,037 (95.51)</td>
<td valign="top" align="center">4,604 (94.11)</td>
<td valign="top" align="center">9,641 (94.84)</td>
<td valign="top" align="center">&#x003C;0.006<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Moderate depression (4&#x2013;6)</td>
<td valign="top" align="center">120 (2.28)</td>
<td valign="top" align="center">152 (3.11)</td>
<td valign="top" align="center">272 (2.68)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severe depression (&#x003C;4)</td>
<td valign="top" align="center">117 (2.22)</td>
<td valign="top" align="center">136 (2.78)</td>
<td valign="top" align="center">253 (2.49)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Apgar at 5&#x2005;min</td>
</tr>
<tr>
<td valign="top" align="left">Normal (&#x003E;7)</td>
<td valign="top" align="center">5,188 (98.37)</td>
<td valign="top" align="center">4,793 (97.98)</td>
<td valign="top" align="center">9,981 (98.18)</td>
<td valign="top" align="center">&#x003C;0.296</td>
</tr>
<tr>
<td valign="top" align="left">Moderate depression (4&#x2013;6)</td>
<td valign="top" align="center">30 (0.57)</td>
<td valign="top" align="center">38 (0.78)</td>
<td valign="top" align="center">68 (0.67)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severe depression (&#x003C;4)</td>
<td valign="top" align="center">56 (1.06)</td>
<td valign="top" align="center">61 (1.25)</td>
<td valign="top" align="center">117 (1.15)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><label>&#x002A;</label>
<p>Statistically significant <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05 <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Regarding the COVID-19 no differences were found in the severity of illness, need for admission to the Intensive Care Unit (ICU), the presence of pneumonia, the use of mechanical ventilation, prognosis complications, pulmonary embolism (PE), between the two groups (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Comparison of COVID clinical severity between non-immigrant and immigrant pregnant women. Hospital San Jos&#x00E9;, Santiago of Chile. March 2020 to August 2022.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Outcomes COVID</th>
<th valign="top" align="center">Non-immigrant pregnancy<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;5,274)</th>
<th valign="top" align="center">Immigrant pregnancy<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;4,892)</th>
<th valign="top" align="center" rowspan="2">Total</th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value<xref ref-type="table-fn" rid="table-fn4">&#x002A;</xref></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Severity of exposure illness</td>
</tr>
<tr>
<td valign="top" align="left">Non COVID</td>
<td valign="top" align="center">4,890 (92.72)</td>
<td valign="top" align="center">4,564 (93.30)</td>
<td valign="top" align="center">9,454 (93.00)</td>
<td valign="top" align="center">&#x003C;0.457</td>
</tr>
<tr>
<td valign="top" align="left">Mild illness</td>
<td valign="top" align="center">336 (6.37)</td>
<td valign="top" align="center">295 (6.03)</td>
<td valign="top" align="center">631 (6.21)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Moderate illness</td>
<td valign="top" align="center">12 (0.23)</td>
<td valign="top" align="center">10 (0.20)</td>
<td valign="top" align="center">22 (0.22)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severe illness</td>
<td valign="top" align="center">36 (0.68)</td>
<td valign="top" align="center">23 (0.47)</td>
<td valign="top" align="center">59 (0.58)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Critical Patient Unit (CPT)</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,238 (99.32)</td>
<td valign="top" align="center">4,869 (99.53)</td>
<td valign="top" align="center">10,107 (99.42)</td>
<td valign="top" align="center">&#x003C;0.159</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">36 (0.68)</td>
<td valign="top" align="center">23 (0.47)</td>
<td valign="top" align="center">59 (0.58)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Pneumonia</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,232 (99.20)</td>
<td valign="top" align="center">4,863 (99.41)</td>
<td valign="top" align="center">10,095 (99.30)</td>
<td valign="top" align="center">&#x003C;0.218</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">42 (0.80)</td>
<td valign="top" align="center">29 (0.59)</td>
<td valign="top" align="center">71 (0.70)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Mechanical ventilation</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,255 (99.64)</td>
<td valign="top" align="center">4,882 (99.80)</td>
<td valign="top" align="center">10,137 (99.71)</td>
<td valign="top" align="center">&#x003C;0.141</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">19 (0.36)</td>
<td valign="top" align="center">10 (0.20)</td>
<td valign="top" align="center">29 (0.29)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Prone</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,269 (99.91)</td>
<td valign="top" align="center">4,891 (99.98)</td>
<td valign="top" align="center">10,160 (99.94)</td>
<td valign="top" align="center">&#x003C;0.221</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">5 (0.09)</td>
<td valign="top" align="center">1 (0.02)</td>
<td valign="top" align="center">6 (0.06)</td>
<td valign="top" align="center">Fisher&#x0027;s exact</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Pulmonary Embolism</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,264 (99.81)</td>
<td valign="top" align="center">4,887 (99.90)</td>
<td valign="top" align="center">10,151 (99.85)</td>
<td valign="top" align="center">&#x003C;0.307</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">10 (0.19)</td>
<td valign="top" align="center">5 (0.10)</td>
<td valign="top" align="center">15 (0.15)</td>
<td valign="top" align="center">Fisher&#x0027;s exact</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Hospitalization</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5,154 (97.74)</td>
<td valign="top" align="center">4,764 (97.40)</td>
<td valign="top" align="center">9,918 (97.58)</td>
<td valign="top" align="center">&#x003C;0.623</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">119 (2.26)</td>
<td valign="top" align="center">127 (2.60)</td>
<td valign="top" align="center">246 (2.42)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><label>&#x002A;</label>
<p>Statistically significant <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05 <italic>&#x03C7;</italic><sup>2</sup> test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>, Haitians had the highest proportion of emergency c-section and preterm birth, but the lowest proportion of labor and delivery companion, postpartum attachment to newborn. On the other hand Venezuelans had the highest proportion of elective c-sections and less proportion of maternal care provision variables compared with non-immigrants (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Proportion of maternal care indicators and perinatal outcomes by country of origin.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-04-1267156-g003.tif"/>
</fig>
<p>In the pair comparison analysis shown in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>, Haitians had a higher risk of undergoing emergency c-section compared to non-immigrants (aRR&#x2009;&#x003D;&#x2009;1.61; 95&#x0025; CI: 1.48&#x2013;1.75). Venezuelans, had a higher risk of both planned/elective c-section and emergency c-section compared to non-immigrants (aRR&#x2009;&#x003D;&#x2009;2.18; 95&#x0025; CI: 1.81&#x2013;2.63 and aRR&#x2009;&#x003D;&#x2009;1.50; 95&#x0025; CI: 1.33&#x2013;1.68, respectively). Women from other nationalities, exhibited a slightly higher risk of emergency c-section was reported but after adjusting by age and health insurance, the risk of emergency c-section disappeared (aRR&#x2009;&#x003D;&#x2009;1.09; 95&#x0025; CI: 0.99&#x2013;1.19). Both Haitians and Venezuelans had a significant higher risk of not having maternal care provision, however, Haitians had a higher risk of not receiving personalized childbirth care (aRR&#x2009;&#x003D;&#x2009;1.03; 95&#x0025; CI: 1.00&#x2013;1.05), not having a companion during labor and childbirth (aRR&#x2009;&#x003D;&#x2009;2.48; 95&#x0025; CI: 2.24&#x2013;2.75), not having postpartum attachment to newborns (aRR&#x2009;&#x003D;&#x2009;1.88; 95&#x0025; CI: 1.73&#x2013;2.05). Also Haitians has the highest risk of extreme preterm birth (&#x003C;28 weeks, aRR&#x2009;&#x003D;&#x2009;2.09; 95&#x0025; CI: 1.30&#x2013;3.36) compared to non-immigrants. (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Risk of c-section and other obstetric and perinatal outcomes in Haitian, Venezuelan, and other nationalities, compared to non-immigrant women. Log Binomial multivariable regression models.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Birth outcomes</th>
<th valign="top" align="center">Non-immigrant pregnancy (<italic>n</italic>&#x2009;&#x003D;&#x2009;5,274)</th>
<th valign="top" align="center" colspan="3">Haitian pregnancy (<italic>n</italic>&#x2009;&#x003D;&#x2009;1,781) (A)</th>
<th valign="top" align="center" colspan="3">Venezuelan pregnancy <italic>n</italic>&#x2009;&#x003D;&#x2009;974) (B)</th>
<th valign="top" align="center" colspan="3">Other Immigrant pregnancy (<italic>n</italic>&#x2009;&#x003D;&#x2009;2,137) (C)</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center">RR (IC95&#x0025;)</th>
<th valign="top" align="center">RRa (IC95&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center">RR (IC95&#x0025;)</th>
<th valign="top" align="center">RRa (IC95&#x0025;)</th>
<th valign="top" align="center"><italic>n</italic> (&#x0025;)</th>
<th valign="top" align="center">RR (IC95&#x0025;)</th>
<th valign="top" align="center">RRa (IC95&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="11">Birth type of delivery</td>
</tr>
<tr>
<td valign="top" align="left">Vaginal birth</td>
<td valign="top" align="center">3,735 (70.82)</td>
<td valign="top" align="center">1,042 (58.51)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">597 (58.21)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1,462 (68.41)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Elective cesarean section</td>
<td valign="top" align="center">426 (8.08)</td>
<td valign="top" align="center">107 (6.01)</td>
<td valign="top" align="center">0.93 (0.74&#x2013;1.11)</td>
<td valign="top" align="center">0.96 (0.78&#x2013;1.18)</td>
<td valign="top" align="center">131 (13.45)</td>
<td valign="top" align="center">1.83 (1.53&#x2013;2.19)</td>
<td valign="top" align="center">2.18 (1.81&#x2013;2.63)</td>
<td valign="top" align="center">182 (8.52)</td>
<td valign="top" align="center">1.08 (0.92&#x2013;1.27)</td>
<td valign="top" align="center">1.11 (0.94&#x2013;1.31)</td>
</tr>
<tr>
<td valign="top" align="left">Emergency cesarean section</td>
<td valign="top" align="center">1,113 (21.10)</td>
<td valign="top" align="center">632 (35.49)</td>
<td valign="top" align="center">1.64 (1.52&#x2013;1.78)</td>
<td valign="top" align="center">1.61 (1.48&#x2013;1.75)</td>
<td valign="top" align="center">276 (28.34)</td>
<td valign="top" align="center">1.43 (1.28&#x2013;1.59)</td>
<td valign="top" align="center">1.50 (1.33&#x2013;1.68)</td>
<td valign="top" align="center">493 (23.07)</td>
<td valign="top" align="center">1.09 (1.00&#x2013;1.20)</td>
<td valign="top" align="center">1.09 (0.99&#x2013;1.19)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="11">Personalized childbirth care</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4,504 (85.40)</td>
<td valign="top" align="center">1,562 (87.70)</td>
<td valign="top" align="center">1.02 (1.01&#x2013;1.05)</td>
<td valign="top" align="center">1.03 (1.00&#x2013;1.05)</td>
<td valign="top" align="center">853 (87.58)</td>
<td valign="top" align="center">1.03 (0.99&#x2013;1.52)</td>
<td valign="top" align="center">1.03 (1.05&#x2013;1.06)</td>
<td valign="top" align="center">1,840 (86.10)</td>
<td valign="top" align="center">1.01 (0.99&#x2013;1.03)</td>
<td valign="top" align="center">1.01 (0.99&#x2013;1.03)</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">770 (14.60)</td>
<td valign="top" align="center">219 (12.30)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">121 (12.42)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">297 (13.90)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left" colspan="11">Labor and childbirth companion</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">688 (13.05)</td>
<td valign="top" align="center">574 (32.23)</td>
<td valign="top" align="center">2.47 (2.24&#x2013;2.72)</td>
<td valign="top" align="center">2.48 (2.24&#x2013;2.75)</td>
<td valign="top" align="center">162 (16.63)</td>
<td valign="top" align="center">1.27 (1.09&#x2013;1.49)</td>
<td valign="top" align="center">1.32 (1.11&#x2013;1.56)</td>
<td valign="top" align="center">384 (17.97)</td>
<td valign="top" align="center">1.38 (1.23&#x2013;1.54)</td>
<td valign="top" align="center">1.35 (1.20&#x2013;1.52)</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4,586 (86.95)</td>
<td valign="top" align="center">1,207 (67.77)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">812 (83.37)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1,753 (82.03)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left" colspan="11">Postpartum attachment to newborns</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1,081 (20.50)</td>
<td valign="top" align="center">678 (38.07)</td>
<td valign="top" align="center">1.86 (1.72&#x2013;2.01)</td>
<td valign="top" align="center">1.88 (1.73&#x2013;2.05)</td>
<td valign="top" align="center">219 (22.48)</td>
<td valign="top" align="center">1.09 (0.96&#x2013;1.25)</td>
<td valign="top" align="center">1.15 (1.00&#x2013;1.31)</td>
<td valign="top" align="center">424 (19.84)</td>
<td valign="top" align="center">0.97 (0.88&#x2013;1.07)</td>
<td valign="top" align="center">0.98 (0.88&#x2013;1.08)</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4,193 (79.50)</td>
<td valign="top" align="center">1,103 (61.93)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">755 (77.52)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1,713 (80.16)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left" colspan="11">Classification by gestational weeks</td>
</tr>
<tr>
<td valign="top" align="left">Term (&#x2265;37 Weeks)</td>
<td valign="top" align="center">4,570 (86.65)</td>
<td valign="top" align="center">1,634 (91.75)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">875 (89.84)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">1,980 (92.65)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Moderate (32&#x2013;36 weeks)</td>
<td valign="top" align="center">582 (11.04)</td>
<td valign="top" align="center">92 (5.17)</td>
<td valign="top" align="center">0.47 (0.38&#x2013;0.58)</td>
<td valign="top" align="center">0.51 (0.41&#x2013;0.64)</td>
<td valign="top" align="center">78 (8.01)</td>
<td valign="top" align="center">0.72 (0.58&#x2013;0.91)</td>
<td valign="top" align="center">0.85 (0.68&#x2013;1.08)</td>
<td valign="top" align="center">134 (6.27)</td>
<td valign="top" align="center">0.56 (0.47&#x2013;0.67)</td>
<td valign="top" align="center">0.59 (0.49&#x2013;0.71)</td>
</tr>
<tr>
<td valign="top" align="left">Very Preterm (28&#x2013;31 Weeks)</td>
<td valign="top" align="center">79 (1.50)</td>
<td valign="top" align="center">22 (1.24)</td>
<td valign="top" align="center">0.78 (0.49&#x2013;1.25)</td>
<td valign="top" align="center">0.85 (0.52&#x2013;1.38)</td>
<td valign="top" align="center">9 (0.92)</td>
<td valign="top" align="center">0.60 (0.30&#x2013;1.19)</td>
<td valign="top" align="center">0.72 (0.36&#x2013;1.47)</td>
<td valign="top" align="center">12 (0.56)</td>
<td valign="top" align="center">0.35 (0.19&#x2013;0.65)</td>
<td valign="top" align="center">0.34 (0.21&#x2013;0.69)</td>
</tr>
<tr>
<td valign="top" align="left">Extremely (&#x003C;28 weeks)</td>
<td valign="top" align="center">43 (0.82)</td>
<td valign="top" align="center">33 (1.85)</td>
<td valign="top" align="center">2.12 (1.35&#x2013;3.33)</td>
<td valign="top" align="center">2.09 (1.30&#x2013;3.36)</td>
<td valign="top" align="center">12 (1.23)</td>
<td valign="top" align="center">1.45 (0.77&#x2013;2.74)</td>
<td valign="top" align="center">1.47 (0.75&#x2013;2.88)</td>
<td valign="top" align="center">11 (0.51)</td>
<td valign="top" align="center">0.59 (0.31&#x2013;1.15)</td>
<td valign="top" align="center">0.60 (0.30&#x2013;1.17)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="11">Classification by birthweight</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">4,760 (90.25)</td>
<td valign="top" align="center">1,589 (89.22)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">876 (89.94)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">2,020 (94.53)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Low birthweght</td>
<td valign="top" align="center">420 (7.96)</td>
<td valign="top" align="center">136 (7.64)</td>
<td valign="top" align="center">0.97 (0.81&#x2013;1.17)</td>
<td valign="top" align="center">1.03 (0.85&#x2013;1.25)</td>
<td valign="top" align="center">77 (7.91)</td>
<td valign="top" align="center">0.99 (0.79&#x2013;1.26)</td>
<td valign="top" align="center">1.13 (0.89&#x2013;1.44)</td>
<td valign="top" align="center">98 (4.59)</td>
<td valign="top" align="center">0.57 (0.46&#x2013;0.71)</td>
<td valign="top" align="center">0.59 (0.48&#x2013;0.74)</td>
</tr>
<tr>
<td valign="top" align="left">Very low birtweight</td>
<td valign="top" align="center">53 (1.00)</td>
<td valign="top" align="center">24 (1.35)</td>
<td valign="top" align="center">1.35 (0.84&#x2013;2.18)</td>
<td valign="top" align="center">1.63 (0.98&#x2013;2.69)</td>
<td valign="top" align="center">7 (0.72)</td>
<td valign="top" align="center">0.72 (0.33&#x2013;1.58)</td>
<td valign="top" align="center">1.18 (0.52&#x2013;2.71)</td>
<td valign="top" align="center">6 (0.28)</td>
<td valign="top" align="center">0.27 (0.12&#x2013;0.62)</td>
<td valign="top" align="center">0.32 (0.14&#x2013;0.76)</td>
</tr>
<tr>
<td valign="top" align="left">Extremely low birthweight</td>
<td valign="top" align="center">41 (0.78)</td>
<td valign="top" align="center">32 (1.80)</td>
<td valign="top" align="center">2.31 (1.46&#x2013;3.66)</td>
<td valign="top" align="center">2.35 (1.45&#x2013;3.83)</td>
<td valign="top" align="center">14 (1.44)</td>
<td valign="top" align="center">1.84 (1.01&#x2013;3.36)</td>
<td valign="top" align="center">2.06 (1.08&#x2013;3.92)</td>
<td valign="top" align="center">13 (0.61)</td>
<td valign="top" align="center">0.75 (0.40&#x2013;1.39)</td>
<td valign="top" align="center">0.78 (0.41&#x2013;1.48)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="11">APGAR at 1&#x2005;min</td>
</tr>
<tr>
<td valign="top" align="left">Normal (&#x003E;7)</td>
<td valign="top" align="center">5,037 (95.51)</td>
<td valign="top" align="center">1,609 (90.34)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">927 (95.17)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">2,068 (96.77)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Moderate depression (4&#x2013;6)</td>
<td valign="top" align="center">120 (2.28)</td>
<td valign="top" align="center">93 (5.22)</td>
<td valign="top" align="center">2.35 (1.80&#x2013;3.06)</td>
<td valign="top" align="center">2.43 (1.83&#x2013;3.22)</td>
<td valign="top" align="center">26 (2.67)</td>
<td valign="top" align="center">1.17 (0.77&#x2013;1.78)</td>
<td valign="top" align="center">1.25 (0.81&#x2013;1.94)</td>
<td valign="top" align="center">33 (1.54)</td>
<td valign="top" align="center">0.68 (0.46&#x2013;0.99)</td>
<td valign="top" align="center">0.68 (0.46&#x2013;0.99)</td>
</tr>
<tr>
<td valign="top" align="left">Severe depression (&#x003C;4)</td>
<td valign="top" align="center">117 (2.22)</td>
<td valign="top" align="center">79 (4.44)</td>
<td valign="top" align="center">2.06 (1.56&#x2013;2.73)</td>
<td valign="top" align="center">1.96 (1.45&#x2013;2.63)</td>
<td valign="top" align="center">21 (2.16)</td>
<td valign="top" align="center">0.98 (0.62&#x2013;1.54)</td>
<td valign="top" align="center">1.05 (0.65&#x2013;1.69)</td>
<td valign="top" align="center">36 (1.68)</td>
<td valign="top" align="center">0.75 (0.52&#x2013;1.09)</td>
<td valign="top" align="center">0.75 (0.51&#x2013;1.09)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>RR, Crude relative risk; RRa, adjusted relative risk by age and health insurance.</p></fn>
<fn id="table-fn6"><p>A&#x2009;&#x003D;&#x2009;Haitians compared to non-immigrants (Haitians&#x2009;&#x003D;&#x2009;1, non-immigrants&#x2009;&#x003D;&#x2009;0).</p></fn>
<fn id="table-fn7"><p>B&#x2009;&#x003D;&#x2009;Venezuelan compared to non-immigrants (Venezuelan&#x2009;&#x003D;&#x2009;1, non-immigrants&#x2009;&#x003D;&#x2009;0).</p></fn>
<fn id="table-fn8"><p>C&#x2009;&#x003D;&#x2009;Other nationalities (except Haitians and Venezuelans), compared to non-immigrantrs (other nationalities&#x2009;&#x003D;&#x2009;1, non-immigrants&#x2009;&#x003D;&#x2009;0).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>The present study reported significant differences in perinatal outcomes between immigrant and non-immigrant women. The main finding of this study is related to high rates of c-section in the entire population, that in immigrants it exceeds 40&#x0025; of the total births, which is one of the highest rates reported in the world. Haitian women had the highest risk of emergency c-section and Venezuelan women the highest rate of elective c-section. Additionally, it found a higher risk of not having a companion during labor and not postpartum attachment with the newborn among mothers from Haiti.</p>
<p>Regarding biosociodemographic data, the results demonstrate that approximately half of the pregnant women attended at the San Jos&#x00E9; Hospital were immigrants, most prevalent countries of origin were Haiti, Peru, and Venezuela. Significant differences were observed in various demographic and health variables between immigrant and non-immigrant women. These findings are consistent with previous studies that have examined the composition of the immigrant population in Chile (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). A study conducted by Veliz et al. supports the presence of a significant proportion of immigrants from the same countries mentioned. This validates and enhances the representativeness of the current study&#x0027;s sample (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>We found that immigrant women received less personalized attention during labor and had a lower presence of companion at birth compared to non-immigrant women. Additionally, significant differences were observed in postpartum attachment with newborns, prematurity and birth weight. These findings are consistent with previous research that has addressed the unequal impact of the pandemic on the health of migrants and the exercising of their reproductive rights. International studies have reported challenges in establishing the mother-newborn emotional connection in immigrant women, which may be related to factors such as social support, communication barriers, and cultural adaptation. A publication from Fabi and Ludmir (<xref ref-type="bibr" rid="B17">17</xref>), suggests that immigrant women, in particular, have experienced difficulties asserting their reproductive rights due to the pandemic. Although the pandemic could have accentuated the differences between the immigrant and non-immigrant population, more studies are required to determine the effect of migration as a social determinant of inequities in childbirth care, independent of the health crisis.</p>
<p>Significant differences were found in the c-section rate. Although other studies have shown higher rates of c-section in immigrant women in different countries (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), Chile has been recognized for its high rates of c-section. Nevertheless, the disparity in cesarean section rates between immigrant and non-immigrant populations was not known. Although it is known that there are determining factors such as access to prenatal care, communication barriers and other social determinants of health, it is urgent to design more studies to elucidate the possible causes and establish new regulations that protect the reproductive rights of the immigrant population.</p>
<p>Significant differences were observed in the distribution of preterm births. Although immigrant women have a higher proportion of full-term births, they also have a higher proportion of extremely premature births. Haitians are the ones who exhibit the highest proportion of extreme prematurity. International studies have shown differences in the duration of pregnancy and prematurity in immigrant women, which may be influenced by socioeconomic, health and access to prenatal care factors (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Although immigration has been associated with a higher risk of having COVID-19, in this study no differences were found regarding the prevalence of COVID-19 during pregnancy, or in the severity of the disease, admission to Intensive Care Unit, pneumonia, use of mechanical ventilation, prognosis, pulmonary thromboembolism, and hospitalization, between the immigrant and non-immigrant groups. However, these divergent results could be explained by the specific migratory conditions of the country since in Chile migration is a recent phenomenon and better perinatal maternal health indicators have been reported compared to the local population (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Furthermore, the importance of considering other contextual and sociocultural factors that could influence the observed outcomes is highlighted (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>The main limitations of this study includes a limited ability to extrapolate the results to other populations. Also, it should be noted that there might be a slight subestimation of the parameters, because as asymptomatic pregnant women were not tested within the first two months of the pandemic. Another limitation of the study is the used of secondary data, some relevant variables were not measured, such as maternal education, length of residence in the country, and the presence of pathologies that could influence the results. More studies should be conducted to address the effect of preeclampsia, and gestational diabetes and its impact on obstetric and perinatal outcomes.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5.</label><title>Conclusion</title>
<p>These findings have significant implications for the perinatal care of the immigrant population, indicating that immigrant women may encounter additional barriers in terms of personalized care during childbirth, access to a companion, type of delivery, and establishing an emotional bond with their newborns. These differences could influence perinatal outcomes and underscore the need to address disparities in perinatal care between non-immigrant and immigrant pregnancy groups.</p>
<p>Furthermore, it is essential to consider other contextual and sociocultural factors that may be influencing the observed outcomes. These results should encourage additional investigation into the causes for these disparities in care and the development of targeted programs to enhance maternal health and obstetric care for immigrant women, not just in Chile but also in other nations, considering the specific stage of obstetric transition they are in.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>This study was approved by the Comit&#x00E9; de &#x00E9;tica del Servicio de Salud Metropolitano Norte and conducted in accordance with local legislation and institutional requirements. Written informed consent was not required from participants or their legal guardians/next of kin because the study used information from clinical records without sensitive data (secondary data).</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>MC: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NS: Conceptualization, Data curation, Investigation, Visualization, Writing &#x2013; review &#x0026; editing. JO: Conceptualization, Writing &#x2013; review &#x0026; editing. RV: Data curation, Formal Analysis, Methodology, Software, Supervision, Writing &#x2013; review &#x0026; editing. SV: Supervision, Visualization, Writing &#x2013; review &#x0026; editing. CN: Conceptualization, Visualization, Writing &#x2013; review &#x0026; editing. LV: Visualization, Writing &#x2013; review &#x0026; editing. LV: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article.</p>
<p>The realization of this project was funded by the Health Research Projects of the Faculty of Medicine at the University of Chile, number CE: 400286.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><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>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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