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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
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<issn pub-type="epub">2296-858X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1646347</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessing the impact of disabilities on healthcare access among Sudanese refugees in Egypt during the 2023 crisis: a discriminant analysis approach</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Semary</surname> <given-names>Hatem E.</given-names></name>
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<name><surname>Abdel-Rahman</surname> <given-names>Suzan</given-names></name>
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<name><surname>Al-Karawi</surname> <given-names>Khamis A.</given-names></name>
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<name><surname>Abdelwahab</surname> <given-names>Mahmoud M.</given-names></name>
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<name><surname>Elkelish</surname> <given-names>Amr</given-names></name>
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<name><surname>El Shabrawy</surname> <given-names>Abdelhamid</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU)</institution>, <city>Riyadh</city>, <country country="sa">Saudi Arabia</country></aff>
<aff id="aff2"><label>2</label><institution>Faculty of Graduate Studies for Statistical Research, Cairo University</institution>, <city>Cairo</city>, <country country="eg">Egypt</country></aff>
<aff id="aff3"><label>3</label><institution>School of Science, Engineering, and Environment, Salford University</institution>, <city>Great Manchester</city>, <country country="gb">United Kingdom</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Microbiology, Global Health Research Institute</institution>, <city>Lom&#x00E9;</city>, <country country="tg">Togo</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU)</institution>, <city>Riyadh</city>, <country country="sa">Saudi Arabia</country></aff>
<aff id="aff6"><label>6</label><institution>Faculty of Graduate Studies for Statistical Research, Cairo University</institution>, <city>Cairo</city>, <country country="eg">Egypt</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Komla Mawunyo Dossouvi, <email xlink:href="mailto:dossouvikomlamawunyo@gmail.com">dossouvikomlamawunyo@gmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-12">
<day>12</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1646347</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>12</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Semary, Abdel-Rahman, Al-Karawi, Abdelwahab, Dossouvi, Elkelish and El Shabrawy.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Semary, Abdel-Rahman, Al-Karawi, Abdelwahab, Dossouvi, Elkelish and El Shabrawy</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>The longstanding presence of Sudanese refugees in Egypt&#x2014;fueled by decades of political instability, conflict, and economic hardship in Sudan&#x2014;has evolved with the recent 2023 crisis. This study investigates the living conditions, health status, and the impact of disabilities on healthcare access among newly displaced Sudanese in Egypt.</p>
</sec>
<sec>
<title>Methods</title>
<p>A phone-based survey was administered to 531 Sudanese refugees. Descriptive statistics were first used to summarize the key demographic and household characteristics of the sample. The data was then analyzed using discriminant analysis to distinguish between families with and without healthcare challenges.</p>
</sec>
<sec>
<title>Results</title>
<p>The sample had a mean age of 39.85 years, and the majority were female (75.5%), married (61.4%), and possessed a university-level education or higher (50.5%). On average, 4.92 family members migrated to Egypt with the respondent. The analysis revealed that chronic conditions such as spinal diseases and diabetes, along with the need for regular monthly treatment, were the strongest predictors of healthcare challenges among Sudanese refugee families. Additionally, disabilities including vision impairments, mobility difficulties, and intellectual disabilities were significantly associated with increased barriers to accessing healthcare services.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These findings underscore the compounded vulnerabilities of Sudanese refugees with disabilities and highlight the urgent need for targeted interventions to enhance healthcare accessibility and overall wellbeing. The results further stress the need for disability-sensitive health responses during refugee crises.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Sudanese refugees</kwd>
<kwd>disabilities</kwd>
<kwd>healthcare access</kwd>
<kwd>living conditions</kwd>
<kwd>discriminant analysis</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Imam Mohammed Ibn Saud Islamic University</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100002713</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported and funded by the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) (grant number IMSIU-DDRSP2501).</funding-statement>
</funding-group>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Family Medicine and Primary Care</meta-value>
</custom-meta>
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</front>
<body>
<sec id="S1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Sudan has experienced many challenges, including a two-decade civil war and the 2003 Darfur genocide. These events have caused the country to face severe humanitarian crises marked by widespread hunger, famine episodes, and the displacement of an astounding number of its citizens. These tragic events have contributed to the loss of over two million lives (<xref ref-type="bibr" rid="B1">1</xref>). For many years, the status of Sudanese refugees in Egypt has been a significant concern. Of Sudan&#x2019;s neighbors, Egypt has the second-highest number of asylum seekers after Chad. As of September 11, 2023, there have been 310,000 Sudanese refugees arriving in Egypt since April 15, 2023. More pressure is created by the fact that, in addition to the recent arrivals from Sudan, the majority of Sudanese who were living in Egypt before the crisis have asked to stay because they are unable to return because of the ongoing violence and instability in their nation (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Around 88% of registered new arrivals are from Khartoum. Furthermore, 22% of registered individuals suffer from at least one challenge: lack of legal documentation, at-risk or separated and unaccompanied children, single parents, people with disabilities, and people having severe health conditions. The illegal entry of Sudanese through smuggling due to their lack of valid passports and entry visas to Egypt exposes many Sudanese to the risk of detention and deportation. Among registered new arrivals, 46% reported entering illegally. Nearly two out of every three refugees live in Giza; one in three in Cairo, about 8% live in Alexandria, and 2% are distributed among other regions (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Many studies have examined the circumstances of displaced Sudanese to neighboring countries, focusing on Darfur refugees. Lozan and Hasan (<xref ref-type="bibr" rid="B3">3</xref>) discussed the mental health challenges faced by Sudanese refugees, emphasizing their experiences, including war, food insecurity, ethnic conflicts, and seeking better socio-economic conditions (<xref ref-type="bibr" rid="B4">4</xref>). Meffert and Marmar (<xref ref-type="bibr" rid="B2">2</xref>) investigated the psychological health of Darfur refugees in Cairo and found that a considerable portion was grappling with profound psychological turmoil, including signs of depression and enduring trauma, with individuals involved in both violent confrontations in their homes and community (<xref ref-type="bibr" rid="B5">5</xref>). Mahmoud focused on how Sudanese refugees&#x2019; lives change due to forced migration, highlighting their experiences of displacement and asylum-seeking in Egypt (<xref ref-type="bibr" rid="B6">6</xref>) Kunna (<xref ref-type="bibr" rid="B7">7</xref>) also focused on Darfur refugees in Egypt, shedding light on their poor situations characterized by lacking basic services and facing discrimination and mistreatment by authorities (<xref ref-type="bibr" rid="B3">3</xref>). The study also indicated that these refugees face challenges of integration and identity, often experiencing a dual identity crisis and feeling alienated from both Egyptian and Sudanese communities (<xref ref-type="bibr" rid="B6">6</xref>). Ibreck and Seeka (<xref ref-type="bibr" rid="B8">8</xref>) studied the South Sudanese refugees in Cairo to illustrate the refugees&#x2019; perspectives, assessing their political actions and reactions toward humanitarian governance (<xref ref-type="bibr" rid="B9">9</xref>). Hamdy (<xref ref-type="bibr" rid="B10">10</xref>) explored the quality of life and health-seeking behavior among Sudanese immigrants in Egypt, indicating that post-war Sudanese immigrants had diverse perceptions of overall quality of life. Most immigrants exhibited positive health-seeking behavior (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Studies have addressed the effects of the devastating conflict in Sudan. According to Matlin et al., (<xref ref-type="bibr" rid="B5">5</xref>), refugees face multiple health issues, such as inadequate access to services, stigma and discrimination, mental health problems, administrative and legal barriers, and neglect of their needs (<xref ref-type="bibr" rid="B12">12</xref>). Shafib et al. (<xref ref-type="bibr" rid="B13">13</xref>) also indicated that extreme poverty, illiteracy, low mental health insurance coverage, and unequal access to services negatively impact mental health outcomes, leading to increased prevalence of depression and post-traumatic stress disorder (<xref ref-type="bibr" rid="B14">14</xref>). Aderinto and Olatunji (<xref ref-type="bibr" rid="B1">1</xref>) confirmed that the conflict negatively affected the health and wellbeing of the population, with women and children being the most affected (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Considering the recent Sudan crisis in 2023, there have been limited studies addressing the challenges faced by displaced Sudanese refugees in Egypt, particularly regarding access to formal employment, education, and basic healthcare. Refugees with chronic diseases or disabilities encounter significant difficulties in obtaining necessary healthcare due to societal changes, financial constraints, and a lack of support programs. Therefore, it is essential to assess the availability of healthcare services for these individuals and identify their specific challenges.</p>
<p>To emphasize the importance of this study and clarify the research gap compared to previous studies, most studies have focused primarily on the social and psychological conditions of Sudanese refugees affected by conflicts in previous years, especially those coming from Darfur. These studies covered multiple aspects such as mental health, legal and economic challenges as addressed by Grabska (<xref ref-type="bibr" rid="B4">4</xref>) and Iezzoni and Long-Bellil (<xref ref-type="bibr" rid="B16">16</xref>), identity crises of refugees (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>), as well as details of the lives of Sudanese refugees in Egyptian society, including their living conditions and lack of basic services (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Our study distinguishes from previous studies in that it focuses on Sudanese refugees&#x2019; health and living conditions and highlights the specific challenges these refugees face in accessing health care. We addressed the impact of disability and chronic diseases on these individuals&#x2019; opportunities to access necessary health care. Identifying the factors influencing their access to essential healthcare services can inform recommendations to improve their health conditions in Egypt.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="S2.SS1">
<label>2.1</label>
<title>Data source</title>
<p>Data were collected from a sample of Sudanese who came to Egypt after the 2023 crisis. The data were collected through phone interviews, in which respondents were accessed through their Egyptian mobile phones. The phone numbers were selected from a database built by the Egyptian Center for Public Opinion Research (Baseera). Baseera has been building its database from areas in Greater Cairo where Sudanese are concentrated. The survey questionnaire (<xref ref-type="supplementary-material" rid="SM1">Supplementary File 1</xref>) was designed to evaluate the circumstances of displaced Sudanese in Egypt following the crisis in Sudan. Sudanese residing in Egypt who are in Baseera&#x2019;s survey database were called upon to collect information about new arrivals to Egypt after April 15. The sample was collected to get estimates with a 95% significance level at the national level, with a margin of error of &#x003C; 5% and an effect size of more than 0.5, resulting in a sample of 531 Sudanese.</p>
</sec>
<sec id="S2.SS2">
<label>2.3</label>
<title>Data collection tool and studied variables</title>
<p>The survey aims to assess the living conditions and assistance the Sudanese entrants receive in Egypt. The survey questionnaire is designed to evaluate the circumstances of displaced Sudanese in Egypt following the crisis in Sudan. It gathers information about the migrants&#x2019; ages, gender, educational status, and marital status. The form inquiries about the migration circumstances, the way of entry into Egypt, and the number of family members who have arrived in Egypt while also addressing those left behind in Sudan. The form also delves deeply into health status, inquiring about any chronic diseases or disabilities they may have. Additionally, it details their living conditions and employment status, reviews the various forms of aid the migrants have received, and elucidates the primary challenges they face in Egypt. The survey includes different types of questions, such as closed-ended, open-ended, multiple-choice, and Likert scale, and takes around 10 min to complete.</p>
</sec>
<sec id="S2.SS3">
<label>2.4</label>
<title>Statistical methods</title>
<p>The study utilized various statistical methods, including descriptive statistics, to calculate means, standard deviations, and frequency distributions for analyzing demographic characteristics. We provided summary statistics of the baseline characteristics of Sudanese refugees, detailing their migration conditions and focusing on family members&#x2019; health conditions. Additionally, we outlined the living conditions of Sudanese refugees in Egypt, highlighting the assistance they received and the challenges they faced.</p>
<p>The study utilized discriminant analysis to assess health-related factors affecting families with and without healthcare problems. The dependent variable&#x2014;presence or absence of a healthcare problem&#x2014;was derived from responses to the question: &#x201C;Is your family currently experiencing any problems in accessing required healthcare services in Egypt?&#x201D; Households that answered &#x201C;Yes&#x201D; to any difficulty related to consulting a doctor, receiving treatment, obtaining medication, or continuing follow-up care were coded as 1, indicating the presence of a healthcare problem. Those who answered &#x201C;No&#x201D; were coded as 0, indicating no healthcare problem.</p>
<p>Discriminant analysis is a valuable technique for predicting the likelihood of outcomes across two or more categories. It generates a discriminant function incorporating several independent variables (discriminator variables). This function helps differentiate between observations that belong to each category of the outcome variable. The discriminant analysis focuses on assessing the distance between centroids to distinguish between different outcome categories effectively. One key assumption of this method is that the discriminator variables must be at least on an interval scale.</p>
<p>In contrast, binary logistic regression allows independent variables to be of any measurement scale. Another critical difference is that in a binary logistic model, the outcome variable must be dichotomous (having only two categories). At the same time, discriminant analysis can handle an outcome variable with multiple categories. In our study, we only developed one discriminant function because the outcome variable has two categories (No. of discriminant functions = No. of groups &#x2013; 1).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="S3.SS1">
<label>3.1</label>
<title>Baseline characteristics</title>
<p>Data was collected from 531 Sudanese refugees aged 18 years and over who came to Egypt after April,15, 2023. The mean age was 39.85, with a 13.19 standard deviation. The majority were female (75.5%), married (61.4%), and with a university education or higher (50.5%). The average number of family members who came to Egypt, including the respondent, after the events of April was 4.92 &#x00B1; 3.07. Respondents indicated that the average number of working-age males in their families who came to Egypt is 0.84 and females aged (15&#x2013;49) is 1.64 on average, while the average number of children aged 2 years to &#x003C; 6 is 0.53 and rise to 0.80 of children aged 6 years to &#x003C; 13 years, as shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Summary statistics of baseline characteristics of Sudanese refugees.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left">Baseline characteristics</th>
<th valign="top" align="left">Labels</th>
<th valign="top" align="left">N (%)</th>
</tr>
<tr>
<th valign="top" align="left">Age (Mean &#x00B1; SD)</th>
<th valign="top" align="center" colspan="2">39.85 &#x00B1; 13.19</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">130 (24.5)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">401 (75.5)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Educational level</td>
<td valign="top" align="left">Less than secondary</td>
<td valign="top" align="left">71 (13.4)</td>
</tr>
<tr>
<td valign="top" align="left">Secondary and above intermediate</td>
<td valign="top" align="left">192 (36.2)</td>
</tr>
<tr>
<td valign="top" align="left">University and above</td>
<td valign="top" align="left">268 (50.5)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Marital status</td>
<td valign="top" align="left">Never married</td>
<td valign="top" align="left">124 (23.4)</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="left">326 (61.4)</td>
</tr>
<tr>
<td valign="top" align="left">Widowed/divorced</td>
<td valign="top" align="left">81 (15.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Household head</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">403 (75.9)</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">128 (24.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Status of other family members</td>
<td valign="top" align="left">All of them came to Egypt</td>
<td valign="top" align="left">163 (30.7)</td>
</tr>
<tr>
<td valign="top" align="left">I had to left some of them</td>
<td valign="top" align="left">363 (68.4)</td>
</tr>
<tr>
<td valign="top" align="left">Some of them traveled to other countries</td>
<td valign="top" align="left">(0.9)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Composition of family members came to Egypt (Average)</td>
<td valign="top" align="left">Children under 2 years</td>
<td valign="top" align="left">0.84 &#x00B1; 1.03</td>
</tr>
<tr>
<td valign="top" align="left">Children 2-&#x003C; 6 years</td>
<td valign="top" align="left">1.64 &#x00B1; 1.36</td>
</tr>
<tr>
<td valign="top" align="left">Children 6-&#x003C; 13</td>
<td valign="top" align="left">0.21 &#x00B1; 0.508</td>
</tr>
<tr>
<td valign="top" align="left">Children 13-under 18)</td>
<td valign="top" align="left">0.53 &#x00B1; 0.86</td>
</tr>
<tr>
<td valign="top" align="left">Working-age males (15&#x2013;64)</td>
<td valign="top" align="left">0.80 &#x00B1; 1.17</td>
</tr>
<tr>
<td valign="top" align="left">Females (15&#x2013;49)</td>
<td valign="top" align="left">0.36 &#x00B1; 0.74</td>
</tr>
<tr>
<td valign="top" align="left">Elderly people (60 years and over)</td>
<td valign="top" align="left">0.39 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Family members left behind in Sudan</td>
<td valign="top" align="left">Males</td>
<td valign="top" align="left">324 (89.3)</td>
</tr>
<tr>
<td valign="top" align="left">Females</td>
<td valign="top" align="left">139 (38.3)</td>
</tr>
<tr>
<td valign="top" align="left">Children</td>
<td valign="top" align="left">90 (24.8)</td>
</tr>
<tr>
<td valign="top" align="left">Elderly</td>
<td valign="top" align="left">100 (27.5)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Average number of family members left in Sudan</td>
<td valign="top" align="left">Number of males</td>
<td valign="top" align="left">1.86 &#x00B1; 1.34</td>
</tr>
<tr>
<td valign="top" align="left">Number of females</td>
<td valign="top" align="left">2.38 &#x00B1; 1.66</td>
</tr>
<tr>
<td valign="top" align="left">Number of children</td>
<td valign="top" align="left">2.70 &#x00B1; 2.15</td>
</tr>
<tr>
<td valign="top" align="left">Number of elderly</td>
<td valign="top" align="left">1.38 &#x00B1; 0.632</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center" colspan="2">531</td>
</tr>
</tbody>
</table></table-wrap>
<p>Of the Sudanese refugees who left their family members in Sudan, 80.9% left behind their male family members, 38.3% left female members, and only 248.% left children. The average number of male members left in Sudan is 1.86 &#x00B1; 1.34 and increased to 2.70 &#x00B1; 2.15 for children. 62% of Sudanese refugees explained that they left their family members due to the difficulty of obtaining a visa, as presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
</sec>
<sec id="S3.SS2">
<label>3.2</label>
<title>Migration conditions</title>
<p>Half of the Sudanese refugees entered through the Qustul border crossing, while 45% crossed through the Arqin border crossing and 5% used other crossings. More than half needed a visa to come to Egypt (55.6%), and most of them had valid passports (84.6%) and were accommodated on the passport (54.2%).</p>
<p>The reasons for Sudanese choosing to seek refuge in Egypt are the proximity of the distance (51.8%), the ease of entry procedures (5.3%), the presence of relatives (5.6), and others (27.5%). More than 95% of the refugees intend to reside in Egypt until the situation in Sudan stabilizes, and 63% expect the remaining relatives in Sudan to come to Egypt soon, presented in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 1</xref>.</p>
</sec>
<sec id="S3.SS3">
<label>3.3</label>
<title>Health conditions</title>
<p>Most refugees (68.7%) indicated that one of their family members suffers from at least one chronic disease. About 41.1% mentioned high blood pressure, close to third mentioned allergies (32.0%), diabetes (33.0%), and joint Stiffness (34.7%), while the lowest percentage (11.1%) reported heart diseases.</p>
<p>Also, 11.1% of Sudanese refugees reported that one of their family members suffers from a movement disability, and 11.1% mentioned a vision impairment. About 20.2% of respondents reported that at least one family member currently living with them in Egypt suffers from anemia or malnutrition, and 63% confirmed that a household member needs regular monthly treatment, presented in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 2</xref>.</p>
</sec>
<sec id="S3.SS4">
<label>3.4</label>
<title>Living conditions</title>
<p>About 54% of the Sudanese refugees live in rented apartments, and 42.4% live with their relatives and friends. Also, 23.5% stated that they share the apartment with other Sudanese families, while 23% live alone. More than half of the Sudanese refugees had relatives and acquaintances in Egypt before the recent Sudanese crisis, while 42% did not.</p>
<p>62.7% of Sudanese refugees reported working in Sudan, and only 4.7% were unemployed and looking for work. But after the crisis, more than a third (33.7%) became unemployed and looking for work, 35.6% intend to work, and only 8.5% are currently employed. In addition, 94.9% of the refugees explained that no family member works. At the same time, 39.9% reported that subsidies are the primary source of family and food expenditures, while others depend on money saved from Sudan to cover family (35%) and food expenses (59.5%). The refugees indicated that they spend most on our food (79.7%), housing rent (30.3%), health care (29%), and transportation (4.1%), presented in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 3</xref>.</p>
</sec>
<sec id="S3.SS5">
<label>3.5</label>
<title>Aid and challenges facing Sudanese refugees</title>
<p>Sudanese refugees are receiving various types of aid: 33.1% receive financial support, while 23.5% benefit from in-kind resource. There were also 15.8% (84) who received financial and in-kind aid, as shown in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 4</xref>. Unfortunately, approximately 27.5% (146) do not receive assistance. <xref ref-type="fig" rid="F1">Figure 1</xref> details the types of in-kind aid received by Sudanese refugees after coming to Egypt. The percentages reflect the proportion of respondents who mentioned receiving each type of aid out of the total sample. The highest reported aid type is food at 71.3%, while the least reported are medicine and temporary housing at 3.8 and 2.4%, respectively. The total value of the financial aid provided to each family did not exceed L.E 2335.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Types of in-kind aid Sudanese refugees received after coming to Egypt.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1646347-g001.tif">
<alt-text content-type="machine-generated">Bar chart displaying the percentage of respondents mentioning different types of in-kind aid. Food is mentioned by 71.3%, medicine by 3.8%, temporary housing by 2.4%, UN-Instant card by 46.9%, and other by 3.3%.</alt-text>
</graphic>
</fig>
<p><xref ref-type="fig" rid="F2">Figure 2</xref> displays the sources of aid received by Sudanese refugees. The percentages represent the proportion of respondents who reported receiving aid from each source out of the total sample. Notably, a large majority, 79.2%, reported receiving assistance from UN-affiliated international organizations, highlighting their significant role in the aid effort. In contrast, contributions from the Red Crescent, governmental organizations, and civil associations were minimal, each below 3%. Aid from family and friends accounted for 21.6%. When asked whether this aid covers their necessary needs, only 5.2% of respondents found the aid sufficient, while 43.3% found it insufficient. Nearly half (49.2%) did not receive an instant card from WFP or UNICEF. Additionally, most respondents (71.4%) were unfamiliar with e-wallet applications, with only 28.6% aware of them.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The source of aid received by Sudanese refugees.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1646347-g002.tif">
<alt-text content-type="machine-generated">Bar chart displaying respondents&#x2019; mention of aid sources. International organizations: 79.2% mentioned, 20.8% not mentioned. Red Crescent: 2.6% mentioned, 97.4% not. Governmental organizations: 1.3% mentioned, 98.7% not. Civil associations: 2.9% mentioned, 97.1% not. Family and friends: 21.6% mentioned, 78.4% not. Other sources: 11.7% mentioned, 88.3% not.</alt-text>
</graphic>
</fig>
<p><xref ref-type="fig" rid="F3">Figure 3</xref> illustrates the most critical problems faced by Sudanese refugees in Egypt. The percentages reflect the proportion of respondents who identified each issue as a major challenge, based on the total sample. According to the survey, financial problems (55.7%) and housing (51.8%) are the most frequently reported problems. Additionally, access to food (28.6%) and healthcare (26.2%) are also significant problems. Employment is a concern for 19.2% of respondents, while children&#x2019;s education was mentioned by 12.4%. Notably, insecurity and psychological problems were the least reported, at 3.6 and 3.2%, respectively, suggesting these are less prevalent compared to material hardships and basic survival needs.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The most critical problems faced by Sudanese refugees in Egypt.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1646347-g003.tif">
<alt-text content-type="machine-generated">Bar chart showing percentages of respondents mentioning various problems. &#x201C;Need house&#x201D; is mentioned by 51.8%, &#x201C;children education&#x201D; by 12.4%, &#x201C;health care&#x201D; by 26.2%, &#x201C;feeling insecure&#x201D; by 3.6%, &#x201C;psychological problems&#x201D; by 3.2%, &#x201C;access to food&#x201D; by 28.6%, &#x201C;financial problems&#x201D; by 44.3%, &#x201C;getting a job&#x201D; by 19.2%, and &#x201C;other&#x201D; by 9.4%. The remaining percentages for each category are responses of &#x201C;not mentioned.&#x201D;</alt-text>
</graphic>
</fig>
<p>The discriminant analysis model in this study examined various health-related factors, including the number of family members needing regular monthly treatment and those with specific disabilities or chronic conditions. Notably, three disability variables&#x2014;intellectual disability, vision disability, and movement difficulties&#x2014;significantly impacted the discrimination between families with and without health services problems. Among these, vision disability had the most potent effect, followed by movement difficulties, while intellectual disability had the least impact.</p>
<p><xref ref-type="table" rid="T2">Table 2</xref> presents the mean and standard deviation for the existence of healthcare problems across 11 discriminator variables, categorized into two groups: &#x201C;No, there is no healthcare problem&#x201D; and &#x201C;Yes, there is a healthcare problem.&#x201D; Notable differences are observed between the means of the dependent variable in these two categories. For instance, the number of family members needing regular monthly treatment averages 0.83 in the &#x201C;No&#x201D; category and 1.42 in the &#x201C;Yes&#x201D; category. Similarly, the averages for diabetes are 0.34 (&#x201C;No&#x201D;) versus 0.67 (&#x201C;Yes&#x201D;), for allergies 0.35 (&#x201C;No&#x201D;) versus 0.63 (&#x201C;Yes&#x201D;), and for spine diseases 0.20 (&#x201C;No&#x201D;) versus 0.44 (&#x201C;Yes&#x201D;). These four variables are identified as effective discriminators between the presence and absence of healthcare problems.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Mean and standard deviation of healthcare problems across discriminator variables.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left">Existence of health care problems</th>
<th valign="top" align="center">Discriminator variables (numbers)</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="10">No</td>
<td valign="top" align="left">Family members need monthly treatment</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.908</td>
</tr>
<tr>
<td valign="top" align="left">Family members with allergies</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.678</td>
</tr>
<tr>
<td valign="top" align="left">Family members with intellectual disabilities</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.199</td>
</tr>
<tr>
<td valign="top" align="left">Family members with vision disabilities</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.448</td>
</tr>
<tr>
<td valign="top" align="left">Family members with diabetes</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.631</td>
</tr>
<tr>
<td valign="top" align="left">Family members with high blood pressure</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.685</td>
</tr>
<tr>
<td valign="top" align="left">Family members with spine diseases</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.476</td>
</tr>
<tr>
<td valign="top" align="left">Family members with difficulties or disabilities in movement</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.280</td>
</tr>
<tr>
<td valign="top" align="left">Family members with joint stiffness diseases</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.525</td>
</tr>
<tr>
<td valign="top" align="left">Family members with other diseases</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.544</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="11">Yes</td>
<td valign="top" align="left">Family members need monthly treatment</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">1.129</td>
</tr>
<tr>
<td valign="top" align="left">Family members with allergies</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.918</td>
</tr>
<tr>
<td valign="top" align="left">Family members with intellectual disabilities</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.310</td>
</tr>
<tr>
<td valign="top" align="left">Family members with vision disabilities</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.769</td>
</tr>
<tr>
<td valign="top" align="left">Family members have diabetes</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.793</td>
</tr>
<tr>
<td valign="top" align="left">Family members with high blood pressure</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.952</td>
</tr>
<tr>
<td valign="top" align="left">Family members with heart diseases</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.427</td>
</tr>
<tr>
<td valign="top" align="left">Family members with spine diseases</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.615</td>
</tr>
<tr>
<td valign="top" align="left">Family members has difficulties or disabilities in movement</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.427</td>
</tr>
<tr>
<td valign="top" align="left">Family members with joint stiffness diseases</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.695</td>
</tr>
<tr>
<td valign="top" align="left">Family members with other diseases</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">0.593</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="11">Total</td>
<td valign="top" align="left">Family members need monthly treatment</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">1.003</td>
</tr>
<tr>
<td valign="top" align="left">Family members with allergies</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.757</td>
</tr>
<tr>
<td valign="top" align="left">Family members with Intellectual disabilities</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.234</td>
</tr>
<tr>
<td valign="top" align="left">Family members with vision disabilities</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.553</td>
</tr>
<tr>
<td valign="top" align="left">Family members with diabetes</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.692</td>
</tr>
<tr>
<td valign="top" align="left">Family members with high blood pressure</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.774</td>
</tr>
<tr>
<td valign="top" align="left">Family members with heart diseases</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.339</td>
</tr>
<tr>
<td valign="top" align="left">Family members with spine diseases</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.526</td>
</tr>
<tr>
<td valign="top" align="left">Family members with difficulties or disabilities in movement</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.325</td>
</tr>
<tr>
<td valign="top" align="left">Family members with joint stiffness diseases</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.580</td>
</tr>
<tr>
<td valign="top" align="left">Family members with other diseases</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.562</td>
</tr>
</tbody>
</table></table-wrap>
<p><xref ref-type="table" rid="T3">Table 3</xref> indicates that all discriminator variables are statistically significant in differentiating between the two categories of the outcome variable related to healthcare problems. This table tests the null hypothesis (H<sub>0</sub>) that the means of all discriminator variables are equal across the groups concerning the existence of healthcare problems. In contrast, the alternative hypothesis (H<sub>1</sub>) posits that these means are unequal across the groups. The findings support rejecting the null hypothesis, suggesting meaningful differences in the discriminator variables. It is clear that all discriminator variables are significant; indicating that the variable succeeded in discriminating between observations that have an existence of health care problems and other observations which have no existence of health care problems.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Tests of equality of group means.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left">Discriminators: numbers of</th>
<th valign="top" align="left">Wilks&#x2019; Lambda</th>
<th valign="top" align="left"><italic>F</italic></th>
<th valign="top" align="left">df1</th>
<th valign="top" align="left">df2</th>
<th valign="top" align="left">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Family members need monthly treatment</td>
<td valign="top" align="left">0.935</td>
<td valign="top" align="left">37.057</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Family members with allergies</td>
<td valign="top" align="left">0.974</td>
<td valign="top" align="left">14.224</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Family members with intellectual disabilities</td>
<td valign="top" align="left">0.995</td>
<td valign="top" align="left">2.475</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Family members with vision disabilities</td>
<td valign="top" align="left">0.987</td>
<td valign="top" align="left">6.996</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.009</td>
</tr>
<tr>
<td valign="top" align="left">Family members with diabetes</td>
<td valign="top" align="left">0.955</td>
<td valign="top" align="left">24.740</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Family members with high blood pressure</td>
<td valign="top" align="left">0.971</td>
<td valign="top" align="left">15.922</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Family members with heart diseases</td>
<td valign="top" align="left">0.985</td>
<td valign="top" align="left">8.225</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Family members with spine diseases</td>
<td valign="top" align="left">0.960</td>
<td valign="top" align="left">22.197</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Family members with difficulties or disabilities in movement</td>
<td valign="top" align="left">0.992</td>
<td valign="top" align="left">4.095</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Family members with joint stiffness diseases</td>
<td valign="top" align="left">0.980</td>
<td valign="top" align="left">10.747</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Family members with other diseases</td>
<td valign="top" align="left">0.981</td>
<td valign="top" align="left">10.422</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">529</td>
<td valign="top" align="left">0.001</td>
</tr>
</tbody>
</table></table-wrap>
<p>The goodness-of-fit indicators of the discriminant analysis model suggest that it is statistically acceptable. The model explained approximately 10.4% of the variance in the outcome variable (the existence of healthcare problems), based on a canonical correlation of 0.324, which reflects a modest relationship between the predictor variables and the grouping outcome.</p>
<p><xref ref-type="table" rid="T4">Table 4</xref> provides the classification results. The model correctly classified 68.4% of the original grouped cases, with 281 out of 392 cases (71.7%) correctly classified in the &#x201C;No healthcare problem&#x201D; group, and 82 out of 139 cases (59%) correctly classified in the &#x201C;Yes healthcare problem&#x201D; group. Cross-validation using the leave-one-out method yielded a similar correct classification rate of 66.3%, which supports the stability of the model, though its predictive performance remains moderate and below the majority-class baseline (73.8%).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Corrected classification measures.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left">Dependent variable</th>
<th valign="top" align="center" colspan="2">Predicted group membership</th>
<th valign="top" align="center">Total</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">No, there is health care problem</th>
<th valign="top" align="center">Yes, there is health care problem</th>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Original</bold></td>
</tr>
<tr>
<td valign="top" align="left">No, there is health care problem</td>
<td valign="top" align="center">281</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">392</td>
</tr>
<tr>
<td valign="top" align="left">Yes, there is health care problem</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">139</td>
</tr>
<tr>
<td valign="top" align="left">No, there is health care problem%</td>
<td valign="top" align="center">71.7</td>
<td valign="top" align="center">28.3</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes, there is health care problem%</td>
<td valign="top" align="center">41.0</td>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Cross-validated</bold></td>
</tr>
<tr>
<td valign="top" align="left">No, there is health care problem</td>
<td valign="top" align="center">275</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">392</td>
</tr>
<tr>
<td valign="top" align="left">Yes, there is health care problem</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">139</td>
</tr>
<tr>
<td valign="top" align="left">No, there is health care problem%</td>
<td valign="top" align="center">70.2</td>
<td valign="top" align="center">29.8</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Yes, there is health care problem%</td>
<td valign="top" align="center">44.6</td>
<td valign="top" align="center">55.4</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table></table-wrap>
<p>The proportion of variance explained and the correct classification rate indicate that the discriminant function is statistically valid and suitable for identifying key variables associated with healthcare problems, despite its limited predictive accuracy.</p>
<p><xref ref-type="table" rid="T5">Table 5</xref> presents the standardized and unstandardized discriminant function coefficients for all discriminator variables. The standardized coefficients allow for comparison of the relative importance of each variable in distinguishing between families with and without healthcare problems. According to reported standardized values, the most important variable is the number of family members with spine diseases (0.349), followed by those with diabetes (0.320), and then those who need regular monthly treatment (0.312). In contrast, the variable with the least relative importance is the number of family members with high blood pressure (0.020).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Standardized and unstandardized canonical discriminant function coefficients.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="center">Discriminators: numbers of</th>
<th valign="top" align="center">Standardized coefficients</th>
<th valign="top" align="center">Unstandardized coefficients</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Family members need monthly treatment</td>
<td valign="top" align="center">0.312</td>
<td valign="top" align="center">0.321</td>
</tr>
<tr>
<td valign="top" align="left">Family members with allergies</td>
<td valign="top" align="center">0.113</td>
<td valign="top" align="center">0.151</td>
</tr>
<tr>
<td valign="top" align="left">Family members with intellectual disabilities</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="center">0.818</td>
</tr>
<tr>
<td valign="top" align="left">Family members with vision disabilities</td>
<td valign="top" align="center">0.219</td>
<td valign="top" align="center">0.399</td>
</tr>
<tr>
<td valign="top" align="left">Family members with diabetes</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">0.473</td>
</tr>
<tr>
<td valign="top" align="left">Family members with high blood pressure</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">0.027</td>
</tr>
<tr>
<td valign="top" align="left">Family members with heart diseases</td>
<td valign="top" align="center">0.117</td>
<td valign="top" align="center">0.349</td>
</tr>
<tr>
<td valign="top" align="left">Family members with spine diseases</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center">0.677</td>
</tr>
<tr>
<td valign="top" align="left">Family members with difficulties or disabilities in movement</td>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center">0.352</td>
</tr>
<tr>
<td valign="top" align="left">Family members with joint stiffness diseases</td>
<td valign="top" align="center">&#x2013;0.051</td>
<td valign="top" align="center">&#x2013;0.089</td>
</tr>
<tr>
<td valign="top" align="left">Family members with other diseases</td>
<td valign="top" align="center">0.298</td>
<td valign="top" align="center">0.535</td>
</tr>
<tr>
<td valign="top" align="left">Constant</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;1.047</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>DF = 0.321&#x002A; No. of family members who need monthly treatment, take it regularly + 0.151&#x002A; No. of family members has Allergy + 818&#x002A; No. of family members has Intellectual disability + 0.399&#x002A; No. of family members has vision disability + 0.473&#x002A; No. of family members has diabetes + 0.027&#x002A; No. of family members has high blood pressure + 0.349&#x002A; No. of family members has heart diseases + 0.677&#x002A;No. of family members has spine diseases + 0.352&#x002A;No. of family members has movement disability &#x2013;0.089&#x002A; No. of family members has Joint stiffness diseases + 0.535&#x002A;No. of family members has other diseases &#x2013;1.047.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>On the other hand, the unstandardized discriminant function coefficients are used to construct the discriminant function equation. These coefficients reflect the partial contribution of each variable to the discriminant score, expressed in the original units of measurement. However, they are not suitable for assessing the relative importance of variables due to differences in measurement scale. According to the unstandardized coefficients, the number of family members with intellectual disabilities has the highest coefficient (0.818), where each additional individual with intellectual disabilities increases the discriminant score by 0.818 units, holding other variables constant. Additionally, the number of family members with spine diseases and other chronic conditions also have relatively large unstandardized coefficients (0.677 and 0.535, respectively), contributing more to the discriminant score. In contrast, the coefficient for high blood pressure (0.027) indicates a small contribution to the discriminant function.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Following the 2023 disturbances that rocked Sudan, a fresh group of refugees have sought safety inside Egypt&#x2019;s boundaries. Sudanese refugees represent one of the largest refugee populations in Egypt, which highlights the importance of carefully examining their health status and medical needs. The health conditions of displaced Sudanese refugees in Egypt are a major concern, given their limited access to adequate healthcare services. According to statistics, an estimated 250,000 Sudanese refugees have sought refuge in Egypt, facing significant challenges in accessing healthcare facilities.</p>
<p>The health of Sudanese refugees is influenced by various social and economic factors, which often create barriers to accessing health services. This study explores the multiple challenges they face, focusing on their living conditions and health problems. Additionally, it examines factors that explain reported healthcare issues by shedding light on their overall health status.</p>
<p>The ongoing armed conflict in Sudan has had devastating effects on public health, exacerbating existing challenges and creating new ones. The conflict has led to heavy fighting, civilian casualties, and a lack of medical services in hospitals. The conflict also has significant impacts on mental health, including post-traumatic stress disorder, depression, and anxiety, and increases the prevalence of conflict-related sexual violence (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Several studies addressed the marginalization of Sudanese refugees in Cairo, highlighting their struggle to access healthcare and legal rights, which negatively impacts their health outcomes (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Consistent with previous studies, this study found that Sudanese refugees suffer from significant health and living conditions. Considerable percentage suffering from chronic diseases such as high blood pressure, diabetes, and joint stiffness. Their living conditions varied; some rent apartments, while others live with relatives. Employment status changed after the crisis, with many losing their jobs. Many families rely on financial support, with food expenses being their primary concern.</p>
<p>Most aid comes from international organizations; however, many refugees found this assistance insufficient, and some did not receive any support. In addition, many faced difficulties in dealing with electronic payment options, as a sizable percentage of them are unfamiliar with e-wallet applications.</p>
<p>Our findings indicated that the most reported problems were housing, food, and access to healthcare, while psychological issues and feelings of insecurity were among the least mentioned. This was unexpected, as previous studies have shown that many refugees suffer from both physical and mental health challenges due to displacement and the trauma they have experienced (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B19">19</xref>). One possible explanation is that participants were primarily focused on urgent survival needs&#x2014;such as food, shelter, and healthcare&#x2014;given the difficult circumstances they face. These immediate concerns may have overshadowed mental health issues. Additionally, the underreporting of psychological problems could be related to social stigma or limited awareness of mental health among the refugee population.</p>
<p>Regarding healthcare problems, the standardized discriminant coefficients indicated that the most influential variables in distinguishing between families with and without healthcare problems were spine diseases, followed by diabetes, and the need for regular monthly treatment. Although intellectual disabilities contributed to the model, their relative influence was smaller compared to the leading factors.</p>
<p>Among the contributing variables, visual impairment stood out as a notable factor influencing healthcare access. Individuals with visual disabilities face several challenges, including limited access to information, which is often not available in accessible formats such as braille, audio recordings or large printed information. Additionally, physical barriers such as inadequate transportation and lack of accessible infrastructure in health facilities, further hinder access to care (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Global and regional studies have reported similar findings, showing that individuals with disabilities generally experience poorer access to healthcare services compared to those without disabilities. For example, a study in the United States showed that people with visual impairments are more likely to experience problems in receiving the necessary medical care (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Similarly, individuals with hearing impairments may experience communication challenges with caregivers due to a lack of sign language interpreters. Architectural barriers and transportation difficulties also hinder access for those with physical disabilities. Additionally, individuals with cognitive or intellectual disabilities may struggle to understand and retain medical instructions. There are also several complex factors, including environmental, social, and economic barriers, that influence access to healthcare for people with disabilities. People with disabilities often suffer from limited educational and employment opportunities, which increases their overall vulnerability and poor health. Spatial barriers, such as lack of adequate sanitation facilities and discrimination and negative beliefs about them, are major factors that hinder their access to care. Feelings of shame and communication difficulties may also lead them not to express their health needs, which leads to their health conditions worsening. Furthermore, high costs and transportation challenges pose additional barriers, making people with disabilities more vulnerable to health neglect (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Previous studies have shown that perceptions of quality of life among refugees are influenced by gender, education, and financial status. While many immigrants demonstrated positive health-seeking behavior, barriers such as limited awareness of services, competing priorities, insufficient financial resources, and long waiting times remain prevalent (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>WHO has highlighted health issues faced by refugees and migrants across the Eastern Mediterranean region, including inadequate healthcare access, financial barriers, and psychological stress. Countries like Lebanon and Morocco report overwhelmed health systems, increased maternal and child mortality, and challenges in providing medical care. Initiatives such as public health insurance, community health programs, and psychosocial support exist but significant gaps in equitable access persist (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Egypt has made efforts to improve the situation of Sudanese refugees and meet their needs for education, health care, and other forms of protection. However, our results suggest that more efforts are needed to improve their living conditions and health conditions, especially for those who have suffered disabilities. Access to health care services must be enhanced, health awareness programs must be provided, and other efforts must be made to improve the health and quality of life of Sudanese individuals in Egypt. Increased international support and cooperation are essential to ensure the wellbeing and dignity of Sudanese refugees in their host country.</p>
<p>Our study emphasizes the urgent need for targeted interventions to address the challenges faced by displaced Sudanese refugees in Egypt. Facilitating access to healthcare services and livelihood opportunities will improve their situation and promote social integration. Moreover, the collaboration of government agencies, NGOs, and community-based organizations can ensure better support for this vulnerable population.</p>
<p>Regarding the study limitations, the study sample was drawn from the Baseera database of the Egyptian Center for Public Opinion Research, which contains contact details for Sudanese nationals residing primarily in Greater Cairo. This approach facilitated rapid data collection, particularly among newly displaced refugees. However, it may have introduced a degree of selection bias. The use of cellphone-based questionnaires likely excluded some of the most vulnerable segments of the population, such as undocumented refugees, individuals without mobile phones, and those residing in remote areas or informal settlements. Future research should consider employing a more representative sample to capture the experiences of marginalized refugees.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>This study sheds light on the health and living conditions of Sudanese refugees in Egypt, who face challenges related to displacement, limited resources, food insecurity, and difficulties accessing healthcare. The most common problems reported were housing, food, and healthcare, while psychological issues and insecurity were among the least mentioned. Most refugees receive limited aid that does not fully meet their needs, and many are not using available digital tools like e-wallets. There is a need to improve basic services and ensure better access to support and healthcare.</p>
<p>The study also revealed a significant relationship between difficulties accessing healthcare and the presence of specific chronic diseases and disabilities among refugee households. Households with members suffering from spinal diseases, diabetes, and those requiring regular monthly medications were more likely to experience healthcare problems. Disabilities, particularly visual impairments, mobility impairments, and mental impairments, were also major factors limiting access to healthcare services. These findings highlight the need to prioritize support for households with these health conditions within aid and health programs to bridge the existing gap in healthcare access among the most vulnerable refugee groups.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in this study are included in this article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The requirement of ethical approval was waived by Egyptian Center for Public Opinion Research (Baseera) for the studies involving humans because Egyptian Center for Public Opinion Research (Baseera). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HS: Visualization, Funding acquisition, Writing &#x2013; original draft, Project administration, Formal analysis, Data curation, Writing &#x2013; review &#x0026; editing, Conceptualization. SA-R: Writing &#x2013; review &#x0026; editing, Resources, Writing &#x2013; original draft, Project administration, Methodology, Investigation. KA-K: Resources, Project administration, Conceptualization, Writing &#x2013; original draft, Supervision, Writing &#x2013; review &#x0026; editing, Formal analysis. MA: Data curation, Visualization, Writing &#x2013; review &#x0026; editing, Methodology, Writing &#x2013; original draft, Investigation, Software. KD: Supervision, Software, Writing &#x2013; original draft, Data curation, Methodology, Visualization, Investigation, Validation, Conceptualization, Project administration, Writing &#x2013; review &#x0026; editing, Resources, Formal analysis. AE: Methodology, Conceptualization, Investigation, Software, Data curation, Supervision, Validation, Writing &#x2013; review &#x0026; editing, Resources, Formal analysis, Writing &#x2013; original draft, Project administration, Visualization. AES: Writing &#x2013; original draft, Conceptualization, Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing, Resources.</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="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;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>
<sec id="S13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2025.1646347/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2025.1646347/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementary_file_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Supplementary_file_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1449158/overview">Makoto Kono</ext-link>, International University of Health and Welfare (IUHW), Japan</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/483665/overview">Lynne Sanford Koester</ext-link>, University of Montana, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3224374/overview">Kyohei Nishino</ext-link>, M&#x00E9;decins Sans Fronti&#x00E8;res, Switzerland</p></fn>
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