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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJPDS</journal-id>
<journal-title-group>
<journal-title>International Journal of Population Data Science</journal-title>
<abbrev-journal-title>IJPDS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2399-4908</issn>
<publisher>
<publisher-name>Swansea University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.23889/ijpds.v11i1.3318</article-id>
<article-id pub-id-type="publisher-id">11:1:28</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Mothers seeking sanctuary in Wales: a cohort profile</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Bukkfalvi-Cadotte</surname><given-names initials="A">Alix</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref><xref ref-type="corresp" rid="correspondingAurthor">*</xref></contrib>
<contrib contrib-type="author"><name><surname>Khanom</surname><given-names initials="A">Ashra</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Brown</surname><given-names initials="A">Amy</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Snooks</surname><given-names initials="H">Helen</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<aff id="affil-1"><label>1</label><institution>Swansea University, Swansea, UK</institution></aff>
</contrib-group>
<author-notes>
<corresp id="correspondingAurthor"><label>*</label>Corresponding author: Alix Bukkfalvi-Cadotte, <email>2218810@swansea.ac.uk</email></corresp>
<fn fn-type="conflict">
<label>Statement on conflicts of interest</label>
<p>None declared</p></fn>
</author-notes>
<pub-date date-type="pub" publication-format="electronic"><day>03</day><month>06</month><year>2026</year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year>2026</year></pub-date>
<volume>6</volume>
<issue>1</issue>
<elocation-id>3318</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/3318">This article is available from the IJPDS website at: https://ijpds.org/article/view/3318</self-uri>
<abstract>
<title>Abstract</title>
<sec>
<title>Introduction</title>
<p>People seeking sanctuary, including asylum seekers and refugees, can face obstacles in accessing maternity care and may experience higher rates of adverse perinatal outcomes. However, a lack of data disaggregated by immigration status can hinder research regarding experiences and outcomes of maternity care for refugees and asylum seekers.</p>
</sec>
<sec>
<title>Objectives</title>
<p>The aim of our study was to examine the maternity care service use and perinatal outcomes of refugees and asylum seekers in Wales by comparing them to a group of non-refugee UK-born mothers. In this publication, our objectives were to describe how we built the study cohort and key characteristics of the cohort members.</p>
</sec>
<sec>
<title>Methods</title>
<p>Working with the SAIL Databank, we linked multiple datasets and selected individuals recorded as refugees or asylum seekers in general practitioner records to conduct a retrospective cohort study. We produced cross-tabulations for variables related to the characteristics of the cohort members and performed chi-squared tests to identify statistically significant differences (p &lt; 0.05) between the refugee or asylum seeker group and the comparator group of non-refugee UK-born women.</p>
</sec>
<sec>
<title>Results</title>
<p>Our study cohort comprises 602 mothers categorised as refugees or asylum seekers and a comparator group of 146 665 non-refugee UK-born mothers who have given birth in Wales since April 2014. Our findings indicate that the two groups have distinct profiles: mothers seeking sanctuary are more likely to be part of a minority ethnic group (84.8% vs 3.1%) and to live in an area categorised as the most deprived quintile (56.0% vs 24.7%) and less likely to be obese (19.0% vs 29.9%) than UK-born mothers.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Using general practitioner records allowed us to select a cohort of mothers seeking sanctuary and a comparator group of non-refugee UK-born mothers. Our descriptive analysis of the cohort member characteristics revealed several differences between the two groups. The novel use of GP records to specifically examine refugee and asylum seeker groups in large-scale datasets highlights the potential of routine health data and dataset linkage to investigate health disparities.</p>
</sec>
</abstract>
<kwd-group>
<kwd>data linkage</kwd>
<kwd>maternity</kwd>
<kwd>refugee</kwd>
<kwd>perinatal</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec>
<title>Introduction</title>
<p>People seeking sanctuary, i.e. asylum seekers and refugees, often face barriers in access to high-quality healthcare, including communication barriers [<xref ref-type="bibr" rid="ref-1">1</xref>&#x2013;<xref ref-type="bibr" rid="ref-4">4</xref>), cultural differences [<xref ref-type="bibr" rid="ref-1">1</xref>, <xref ref-type="bibr" rid="ref-2">2</xref>, <xref ref-type="bibr" rid="ref-5">5</xref>], limited financial resources [<xref ref-type="bibr" rid="ref-4">4</xref>, <xref ref-type="bibr" rid="ref-5">5</xref>], and the lack of accessible, culturally-appropriate healthcare services [<xref ref-type="bibr" rid="ref-1">1</xref>]. In the field of maternity care specifically, evidence shows that mothers seeking sanctuary often experience delays in accessing prenatal care [<xref ref-type="bibr" rid="ref-6">6</xref>, <xref ref-type="bibr" rid="ref-7">7</xref>] and some studies report disparities in perinatal healthcare processes and outcomes, such as lower rates of caesarean section [<xref ref-type="bibr" rid="ref-7">7</xref>] or clinical pain relief [<xref ref-type="bibr" rid="ref-8">8</xref>] and higher risks of neonatal or perinatal infant mortality [<xref ref-type="bibr" rid="ref-4">4</xref>] among mothers categorised as refugees or asylum seekers.</p>
<p>In the UK, there remain significant social and ethnic inequalities in maternal health outcomes, with women and babies of Black or Asian ethnicity and those living in the most deprived areas facing significantly higher rates of maternal and neonatal mortality [<xref ref-type="bibr" rid="ref-9">9</xref>, <xref ref-type="bibr" rid="ref-10">10</xref>]. While some studies indicate that migrant mothers experience more adverse perinatal outcomes [<xref ref-type="bibr" rid="ref-11">11</xref>] and an increasing amount of research is being conducted to examine the link between migration and health in the UK, the majority of these studies are conducted in England [<xref ref-type="bibr" rid="ref-12">12</xref>]. In our research, we aimed to examine the use of maternity care services and the perinatal health outcomes of mothers seeking sanctuary in Wales compared to their non-refugee UK-born counterparts. In this paper, our objectives were to describe how we built the dataset and selected the study cohort, and to provide a brief description of the cohort members.</p>
</sec>
<sec>
<title>Methods</title>
<p>As described in the protocol for this study [<xref ref-type="bibr" rid="ref-13">13</xref>], we are conducting a retrospective cohort study on the maternity care experiences and outcomes of people seeking sanctuary in Wales using routine health records held by the Secure Anonymised Information Linkage (SAIL) Databank.</p>
<p>The SAIL Databank is a repository of routinely collected individualised records for the population of Wales [<xref ref-type="bibr" rid="ref-14">14</xref>, <xref ref-type="bibr" rid="ref-15">15</xref>, <xref ref-type="bibr" rid="ref-16">16</xref>]. In the available datasets, each individual is attributed a unique Anonymised Linking Field (ALF), which allows researchers to link fully anonymised records across multiple datasets [<xref ref-type="bibr" rid="ref-17">17</xref>]. We linked six datasets to extract data related to the mother’s characteristics, use of maternity care services, and perinatal outcomes:</p>
<list list-type="bullet">
<list-item><p>Annual District Birth Extract (ADBE) [<xref ref-type="bibr" rid="ref-18">18</xref>],</p></list-item>
<list-item><p>Annual District Death Extract (ADDE) [<xref ref-type="bibr" rid="ref-19">19</xref>],</p></list-item>
<list-item><p>Maternity Indicators Dataset (MIDS) [<xref ref-type="bibr" rid="ref-20">20</xref>],</p></list-item>
<list-item><p>National Community Child Health Database (NCCHD) [<xref ref-type="bibr" rid="ref-21">21</xref>],</p></list-item>
<list-item><p>Welsh Demographic Service Dataset (WDSD) [<xref ref-type="bibr" rid="ref-22">22</xref>],</p></list-item>
<list-item><p>Welsh Longitudinal General Practice Dataset (WLGP) [<xref ref-type="bibr" rid="ref-23">23</xref>].</p></list-item>
</list>
<p>We linked these six datasets using the mother’s or infant’s ALF to create a linked dataset containing data for each mother-infant dyad.</p>
<sec>
<title>Study population</title>
<p>The study group of interest in this study consisted of mothers categorised as asylum seekers or refugees who gave birth in Wales. While immigration records are not currently held by the SAIL Databank, the WLGP [<xref ref-type="bibr" rid="ref-23">23</xref>] contains Read codes for particular patient characteristics, including specific codes for physicians to record their patient’s asylum seeker or refugee status: 13ZB (refugee) and 13ZN (asylum seeker) [<xref ref-type="bibr" rid="ref-24">24</xref>]. We used these Read codes to select patients recorded as refugees or asylum seekers by their general practitioner (GP) in Wales. A similar approach has previously been used successfully by researchers to select a cohort of migrants (all types) through GP record codes related to visa status, language, country of birth, and origin [<xref ref-type="bibr" rid="ref-25">25</xref>].</p>
<p>For comparative analyses, we selected UK-born mothers who were not categorised as refugees or asylum seekers using the mother’s country of birth as recorded in the ADBE and GP records.</p>
<p>We included the mothers for all births recorded in the MIDS, which covers the period from April 2014 to present. We excluded mothers aged under 18 as adolescent pregnancies are themselves linked to adverse outcomes [<xref ref-type="bibr" rid="ref-26">26</xref>] and teenage mothers are subject to particular safeguarding practices within maternity care in Wales [<xref ref-type="bibr" rid="ref-27">27</xref>], which may affect their use of services and outcomes. We also excluded mothers lacking a valid ALF and those lacking valid values for refugee status or country of birth.</p>
<p>Non-refugee migrant mothers (i.e. individuals whose recorded country of birth is outside the UK and who were not recorded as refugees or asylum seekers by their GP) were excluded from this analysis as this group may contain refugees or asylum seekers who were not recorded as such by their GP, introducing bias in the analyses.</p>
</sec>
<sec>
<title>Building the study cohort</title>
<p>Following the exclusion of duplicate records and ineligible individuals, we built three nested study cohorts to accommodate different denominators for various types of perinatal indicators:</p>
<list list-type="bullet">
<list-item><p>individual mothers,</p></list-item>
<list-item><p>births (including repeated birth events for the same mother within the study period), and</p></list-item>
<list-item><p>babies (including more than one baby per birth event in the case of twins and other multiples).</p></list-item>
</list>
</sec>
<sec>
<title>Data management and analysis</title>
<p>We conducted statistical analysis using IBM SPSS Statistics software. Adopting an exploratory data analysis approach [<xref ref-type="bibr" rid="ref-28">28</xref>], we first examined the quality of the available data, producing frequency tables and data visualisations to identify patterns and possible outliers.</p>
<p>We examined outliers on a case-by-case basis and removed values determined as invalid in definitions of maternal health indicators by the United Kingdom (UK) Department of Health and Social Care [<xref ref-type="bibr" rid="ref-29">29</xref>]. We also created derived variables (e.g. BMI derived from height and weight) and categorised some values for ease of analysis (e.g. grouped ethnicity categories from detailed categories).</p>
<p>To describe the characteristics of the cohort of mothers categorised as refugees or asylum seekers, we selected a range of variables that are associated with maternal health outcomes in the literature (e.g. maternal age [<xref ref-type="bibr" rid="ref-30">30</xref>], parity [<xref ref-type="bibr" rid="ref-31">31</xref>], obesity [<xref ref-type="bibr" rid="ref-32">32</xref>]) and were available in the linked dataset. We produced cross-tabulations comparing frequencies among the study group and the comparator group of UK-born mothers and presented counts and valid percentages (i.e. excluding missing data). We performed chi-squared tests to identify any statistically significant differences (p &lt; 0.05) in findings. While there is no publicly available data on numbers of mothers seeking sanctuary in Wales, we compared our results to external data where possible to contextualise our findings and assess their validity.</p>
</sec>
<sec>
<title>Public engagement</title>
<p>This study was part of a broader mixed-method doctoral research project which included public engagement activities to inform data collection and analysis. As part of engagement initiatives, the lead author consulted with maternity care providers and third-sector organisations providing services to mothers seeking sanctuary, as well as experts by experience, i.e. refugee mothers living in Wales, to better understand the lived experience of seeking sanctuary and guide research activities.</p>
</sec>
</sec>
<sec>
<title>Results</title>
<sec>
<title>Identification of refugees and asylum seekers in GP data</title>
<p>The SAIL Databank provided WLGP records dating from April 2014 until the date of provision (November 2023) for all mothers present in the MIDS. We observed a total of 933 recorded Read codes indicating asylum seeker or refugee status related to 729 individuals, indicating that some individuals had these codes recorded multiple times. Indeed, while the majority of individuals only had one GP record pertaining to refugee status in the dataset, 15.6% of individuals had two records containing refugee or asylum seeker status codes, and 6.2% had three or more. These repeated records could reflect discontinuity of care (i.e. individuals changing GP and disclosing their immigration status to multiple healthcare professionals) or the same GP recording their status multiple times. The majority (81%) of these Read codes indicated asylum seeker status (Read code 13ZN) rather than refugee status (Read code 13ZB).</p>
<p>After excluding ineligible records, the study group included 602 mothers categorised as refugees or asylum seekers who experienced 777 births during the study period, resulting in 791 babies. The comparator group comprised 146 665 non-refugee UK-born mothers, 195 680 birth events, and 198 538 resulting babies (see Figure <xref ref-type="fig" rid="fig1">1</xref>).</p>
<fig id="fig1">
<label>Figure 1</label>
<caption><title>Construction of the study cohort</title></caption>
<graphic xlink:href="ijpds-06-3318-g001.tif"/>
</fig>
</sec>
<sec>
<title>Characteristics of mothers seeking sanctuary</title>
<p>We examined some key characteristics of the cohort members to provide a brief demographic profile. The proportion of missing data for each variable ranged from 0% (maternal age) to 28.3% (ethnic group) (see <xref ref-type="table" rid="table-1">Table 1</xref>).</p>
<table-wrap id="table-1">
<label>Table 1</label><caption><title>Proportion of missing data for each variable</title></caption>
<table frame="hsides" rules="groups">
<col width="50%"/>
<col width="50%"/>
<thead>
<tr>
<th style="border-top: solid 1pt; border-bottom: solid 1pt;" align="left" valign="middle"><bold>Variable</bold></th>
<th style="border-top: solid 1pt; border-bottom: solid 1pt;" align="center" valign="middle"><bold>Missing data (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Region of birth (among mothers identified as refugees or asylum seekers)</td>
<td align="center" valign="middle">19.9</td>
</tr>
<tr>
<td align="left" valign="middle">Ethnic group</td>
<td align="center" valign="middle">28.3</td>
</tr>
<tr>
<td align="left" valign="middle">WIMD quintile of the area of residence</td>
<td align="center" valign="middle">0.3</td>
</tr>
<tr>
<td align="left" valign="middle">Maternal age</td>
<td align="center" valign="middle">0.0</td>
</tr>
<tr>
<td align="left" valign="middle">Parity</td>
<td align="center" valign="middle">8.5</td>
</tr>
<tr>
<td align="left" valign="middle">Obesity at initial assessment</td>
<td align="center" valign="middle">15.8</td>
</tr>
<tr>
<td align="left" valign="middle">Smoking at the time of birth</td>
<td align="center" valign="middle">8.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The majority of mothers seeking sanctuary in Wales were born in the Middle East and North Africa (36.7%) or Sub-Saharan Africa (32.4%). Smaller proportions of the group originate from Europe and Central Asia (10.2%), South Asia (9.1%), East Asia and Pacific (9.5%), and Latin America or the Caribbean (2.1%). These results appear broadly consistent with Home Office data concerning the nationalities of migrants who submitted an asylum application in the UK in recent years showing large numbers of applicants from these regions [<xref ref-type="bibr" rid="ref-33">33</xref>]. This coherence with external country of birth data supports the validity of the method used to select the refugee and asylum seeker group within the larger dataset.</p>
<p>While data regarding the ethnicity of the mothers is fairly incomplete (28.3% missing data) and should be interpreted with caution, the two groups appear to have very different profiles (see Table <xref ref-type="table" rid="table-2">2</xref>). Among mothers seeking sanctuary, 29% are Black (or mixed Black), 24% are Asian (or mixed Asian), and an additional 32% were of another non-White ethnicity. Comparatively, the vast majority (96.9%) of UK-born mothers were of White ethnicity.</p>
<table-wrap id="table-2">
<label>Table 2</label><caption><title>Ethnicity category of mothers categorised as refugees or asylum seekers compared to UK-born mothers</title></caption>
<table frame="hsides" rules="groups">
<col width="40%"/>
<col width="30%"/>
<col width="30%"/>
<tbody>
<tr>
<td style="border-top: solid 1pt;" align="left"/>
<td style="border-top: solid 1pt;" align="center" valign="middle"><bold>Mothers categorised</bold></td>
<td style="border-top: solid 1pt;" align="center"/>
</tr>
<tr>
<td align="left"/>
<td align="center" valign="middle"><bold>as refugees or</bold></td>
<td align="center" valign="middle"><bold>UK-born</bold></td>
</tr>
<tr>
<td style="border-bottom: solid 1pt;" align="left"/>
<td style="border-bottom: solid 1pt;" align="center" valign="middle"><bold>asylum seekers n (%)</bold></td>
<td style="border-bottom: solid 1pt;" align="center" valign="middle"><bold>mothers n (%)</bold></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3"><bold>Ethnicity</bold></td>
</tr>
<tr>
<td align="left" valign="middle">White</td>
<td align="center" valign="middle">65 (15.3)</td>
<td align="center" valign="middle">101 835 (96.9)</td>
</tr>
<tr>
<td align="left" valign="middle">Black or mixed Black</td>
<td align="center" valign="middle">123 (28.9)</td>
<td align="center" valign="middle">877 (0.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Asian or mixed Asian</td>
<td align="center" valign="middle">104 (24.4)</td>
<td align="center" valign="middle">1530 (1.5)</td>
</tr>
<tr>
<td align="left" valign="middle">Other ethnicity</td>
<td align="center" valign="middle">134 (31.5)</td>
<td align="center" valign="middle">854 (0.8)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Examining all births recorded in the dataset (see <xref ref-type="table" rid="table-3">Table 3</xref>), we observed that asylum seekers and refugees were more likely than UK-born mothers to live in a deprived area as measured by the Welsh Indicator of Multiple Deprivation (WIMD) (56.0% vs 24.7% living in the most deprived quintile). Mothers categorised as refugees or asylum seekers were also more likely to be aged 35 or over at the time of birth (19.9% vs 17.7%), and less likely to be nulliparous (29.7% vs 41.0%), be obese (19.0% vs 29.9%), or smoke at the time of birth (2.2% vs 16.1%). The figures for UK-born mothers appear broadly consistent with national statistics: in 2024, 17.5% of births in Wales were to mothers aged 35 or over, 32.1% to mothers with a BMI over 30, 12.2% to mothers who smoked at the time of birth [<xref ref-type="bibr" rid="ref-34">34</xref>], and 44.7% to nulliparous mothers [<xref ref-type="bibr" rid="ref-35">35</xref>]. These external data, however, refer to all births in Wales, including both UK-born and migrant mothers, only in the year 2024 and thus are not directly comparable to the present study findings.</p>
<table-wrap id="table-3">
<label>Table 3</label><caption><title>Maternal characteristics in births to mothers categorised as refugees or asylum seekers compared and births to UK-born mothers</title></caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td style="border-top: solid 1pt;" align="left"/>
<td style="border-top: solid 1pt;" align="center" valign="middle"><bold>Births to mothers</bold></td>
<td style="border-top: solid 1pt;" align="center" valign="middle"><bold>Births to</bold></td>
</tr>
<tr>
<td align="left"/>
<td align="center" valign="middle"><bold>categorised as refugees</bold></td>
<td align="center" valign="middle"><bold>UK-born</bold></td>
</tr>
<tr>
<td style="border-bottom: solid 1pt;" align="left"/>
<td style="border-bottom: solid 1pt;" align="center" valign="middle"><bold>or asylum seekers n (%)</bold></td>
<td style="border-bottom: solid 1pt;" align="center" valign="middle"><bold>mothers n (%)</bold></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3"><bold>WIMD quintile of the area of residence at the time of birth<sup>*</sup></bold></td>
</tr>
<tr>
<td align="left" valign="middle">1 (most deprived)</td>
<td align="center" valign="middle">422 (56.0)</td>
<td align="center" valign="middle">48,110 (24.7)</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="center" valign="middle">161 (21.4)</td>
<td align="center" valign="middle">42,133 (21.6)</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="center" valign="middle">111 (14.7)</td>
<td align="center" valign="middle">37,490 (19.2)</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="center" valign="middle">35 (4.6)</td>
<td align="center" valign="middle">35,065 (18.0)</td>
</tr>
<tr>
<td align="left" valign="middle">5 (least deprived)</td>
<td align="center" valign="middle">24 (3.2)</td>
<td align="center" valign="middle">32,260 (16.5)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3"><bold>Maternal age at the time of birth<sup>*</sup></bold></td>
</tr>
<tr>
<td align="left" valign="middle">≤ 24</td>
<td align="center" valign="middle">139 (17.9)</td>
<td align="center" valign="middle">42,087 (21.5)</td>
</tr>
<tr>
<td align="left" valign="middle">25-29</td>
<td align="center" valign="middle">257 (33.1)</td>
<td align="center" valign="middle">59,757 (30.5)</td>
</tr>
<tr>
<td align="left" valign="middle">30-34</td>
<td align="center" valign="middle">226 (29.1)</td>
<td align="center" valign="middle">59,290 (30.3)</td>
</tr>
<tr>
<td align="left" valign="middle">≥ 35</td>
<td align="center" valign="middle">155 (19.9)</td>
<td align="center" valign="middle">34,546 (17.7)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3"><bold>Nulliparity at the time of birth<sup>*</sup></bold></td>
</tr>
<tr>
<td align="left" valign="middle">Nulliparous</td>
<td align="center" valign="middle">216 (29.7)</td>
<td align="center" valign="middle">73,350 (41.0)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3"><bold>Obesity<sup>*</sup></bold></td>
</tr>
<tr>
<td align="left" valign="middle">BMI &gt; 30</td>
<td align="center" valign="middle">93 (19.0)</td>
<td align="center" valign="middle">49,361 (29.9)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3"><bold>Smoking at the time of birth<sup>*</sup></bold></td>
</tr>
<tr>
<td align="left" valign="middle">Smoking</td>
<td align="center" valign="middle">17 (2.2)</td>
<td align="center" valign="middle">28,919 (16.1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>*Statistically significant differences (p &lt; 0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec>
<title>Discussion</title>
<p>In this study, we used GP Read codes to select individuals recorded as refugees or asylum seekers in health datasets for maternal health research. In the present study, we selected 602 refugee or asylum-seeking women who gave birth in Wales during the study period. We linked multiple datasets and built a study cohort comprising the group of mothers seeking sanctuary and a comparator group of non-refugee UK-born mothers (n = 146 665) in order to conduct a retrospective cohort study on their experiences of maternity care and perinatal health outcomes.</p>
<p>The data available in the linked dataset provided valuable descriptive information regarding the characteristics of mothers categorised as refugees or asylum seekers, including region of origin, ethnicity, maternal age, parity, and deprivation level of area of residence. The majority of mothers seeking sanctuary originated from the Middle East and from Africa. As expected in populations originating from these regions, refugee and asylum-seeking mothers were more likely to be part of a non-white ethnicity group than their UK-born counterparts. We also found that refugees and asylum seekers were more likely to reside in a more deprived area, be aged over 35 and to be multiparous, but less likely to be obese or to smoke at the time of birth than the comparator group. These results are not entirely consistent with evidence reported in a 2021 literature review [<xref ref-type="bibr" rid="ref-36">36</xref>]: while refugee mothers are generally reported to have a higher parity than other population groups, most studies indicate that they are younger than non-refugee mothers, and findings regarding BMI are inconsistent. These inconsistencies could reflect the heterogeneity of refugee and asylum-seeking populations across different settings. The exclusion of mothers under 18 in the present study may also obscure different trends regarding teenage pregnancies and hinders the comparability with other studies.</p>
<p>While quantitative data collection and analysis is essential to monitor health inequities, there is a recognised lack of high-quality disaggregated data regarding refugees and asylum seekers [<xref ref-type="bibr" rid="ref-37">37</xref>&#x2013;<xref ref-type="bibr" rid="ref-41">41</xref>]. Due to inconsistent access to refugee and asylum seeker status data, researchers have used various methods to select groups of asylum seekers and refugees [<xref ref-type="bibr" rid="ref-8">8</xref>]. For example, while some have used immigration records [<xref ref-type="bibr" rid="ref-42">42</xref>], others use proxy measures such as country of birth as indicators of refugee status [<xref ref-type="bibr" rid="ref-43">43</xref>]. In the present study, using GP records to select patients recorded as refugees or asylum seekers allowed us to create a study cohort enabling a comparative study on the maternal health and perinatal outcomes of mothers seeking sanctuary in Wales. This method doesn’t require access to external immigration data and makes use of existing routine health records to establish the immigration status of refugees and asylum seekers, a particularly under-researched group, within large-scale datasets.</p>
<sec>
<title>Limitations</title>
<p>The use of GP records to select refugees and asylum seekers in datasets has considerable limitations. This method likely does not provide complete coverage of the target population of refugees and asylum seekers as it only identifies those whose immigration status was recorded in the dataset, excluding any refugee or asylum seeker who didn’t disclose their immigration status to their GP or whose GP didn’t record their status through the appropriate Read codes. The data recorded may also be inexact due to human error when inputting the data into the information system. In addition, due to a history of data sharing between the NHS and the Home Office for immigration control [<xref ref-type="bibr" rid="ref-44">44</xref>], vulnerable migrants may be more reticent to access healthcare services or share their immigration status.</p>
<p>Additionally, while the majority of Read codes indicated asylum seeker status rather than refugee, this does not reflect the proportions of asylum seekers and refugees in the UK: in 2023, there were far fewer asylum seekers (approximately 138,000) than refugees (approximately 449,000) [<xref ref-type="bibr" rid="ref-45">45</xref>]. Asylum seekers may be more likely to disclose their immigration status as it is linked to more restrictions (specific accommodation, no right to work, etc.). In addition, GPs may not be aware of the difference between the two statuses or may not update records once an individual obtains refugee status. The two Read codes may not accurately represent differences between asylum seeker and refugee status.</p>
</sec>
</sec>
<sec>
<title>Conclusion</title>
<p>The use of GP records to select refugee and asylum seeker groups in large-scale datasets represents a promising opportunity for future research to examine and monitor health inequities that affect vulnerable migrants. Such insights could contribute to improving data collection systems, developing our understanding of the data’s potential and limitations, and enhancing public trust in this type of research.</p>
<p>Our planned research will make use of this method to investigate the maternity service use and perinatal health outcomes of mothers seeking sanctuary in Wales, revealing possible disparities and areas of improvement for clinical practice and policy.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study is part of a doctoral research project funded through an Economic and Social Research Council (ESRC) Wales Doctoral Training Partnership studentship (project reference: 2753746 related to ES/P00069X/1). This data linkage study is also funded by Research Wales Innovation Funding (RWIF).</p>
<p>This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers who make anonymised data available for research.</p>
</ack>
<sec>
<title>Ethics statement</title>
<p>This study is part of a doctoral research project which obtained ethical approval from the Swansea University Medical School ethics committee (approval number: 2 2023 7132 6456). Approval was also obtained from the SAIL Information Governance Review Panel (IGRP) (Project number: 1581).</p>
</sec>
<sec>
<title>Data availability statement</title>
<p>The datasets used in this study are held by the SAIL Databank, which can be accessed by researchers through an application process.</p>
</sec>
<sec>
<title>AI disclosure statement</title>
<p>The authors declare that no generative AI tools were used in the preparation of this manuscript.</p>
</sec>
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<glossary>
<title>Abbreviations</title>
<array>
<tbody>
<tr>
<td>ADBE:</td>
<td>Annual District Birth Extract</td>
</tr>
<tr>
<td>ADDE:</td>
<td>Annual District Death Extract</td>
</tr>
<tr>
<td>ALF:</td>
<td>Anonymised Linking Field</td>
</tr>
<tr>
<td>BMI:</td>
<td>Body Mass Index</td>
</tr>
<tr>
<td>GP:</td>
<td>General Practitioner</td>
</tr>
<tr>
<td>MIDS:</td>
<td>Maternity Indicators Dataset</td>
</tr>
<tr>
<td>NCCHD:</td>
<td>National Community Child Health Database</td>
</tr>
<tr>
<td>SAIL:</td>
<td>Secure Anonymised Information Linkage</td>
</tr>
<tr>
<td>UK:</td>
<td>United Kingdom</td>
</tr>
<tr>
<td>WDSD:</td>
<td>Welsh Demographic Service Dataset</td>
</tr>
<tr>
<td>WLGP:</td>
<td>Welsh Longitudinal General Practice Dataset</td>
</tr>
</tbody>
</array>
</glossary>
</back>
</article>
