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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2026.1738145</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Predictors, barriers and facilitators of bystander interventions in out of hospital cardiac arrest: a cross-sectional study from the UAE</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hafeez</surname>
<given-names>Uffaira</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Rahma</surname>
<given-names>Azhar T.</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Abdullahi</surname>
<given-names>Aminu S.</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Belfakir</surname>
<given-names>Messaouda</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Alseiari</surname>
<given-names>Khalifa</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Alsaadi</surname>
<given-names>Mohammad Ali</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Alshamsi</surname>
<given-names>Nasser Abdulla</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Alzaabi</surname>
<given-names>Omar</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3334731"/>
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<contrib contrib-type="author">
<name>
<surname>Al Tamimi</surname>
<given-names>Saoud</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Almaamari</surname>
<given-names>Khalid</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Farooq</surname>
<given-names>Munawar</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Internal Medicine, Emergency Medicine Section, College of Medicine and Health Sciences, United Arab Emirates University (UAEU)</institution>, <city>Al Ain</city>, <country country="ae">United Arab Emirates</country></aff>
<aff id="aff2"><label>2</label><institution>Institute of Public Health, College of Medicine and Health Sciences, UAEU</institution>, <city>Al Ain</city>, <country country="ae">United Arab Emirates</country></aff>
<aff id="aff3"><label>3</label><institution>College of Medicine and Health Sciences, United Arab Emirates University (UAEU)</institution>, <city>Al Ain</city>, <country country="ae">United Arab Emirates</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Emergency Medicine, Tawam Hospital</institution>, <city>Al Ain</city>, <country country="ae">United Arab Emirates</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Munawar Farooq, <email xlink:href="mailto:mfarooq@uaeu.ac.ae">mfarooq@uaeu.ac.ae</email></corresp>
<fn fn-type="other" id="fn0001">
<label>&#x2020;</label>
<p>ORCID: Munawar Farooq, <uri xlink:href="https://orcid.org/0009-0009-2537-7115">orcid.org/0009-0009-2537-7115</uri></p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1738145</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Hafeez, Rahma, Abdullahi, Belfakir, Alseiari, Alsaadi, Alshamsi, Alzaabi, Al Tamimi, Almaamari and Farooq.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Hafeez, Rahma, Abdullahi, Belfakir, Alseiari, Alsaadi, Alshamsi, Alzaabi, Al Tamimi, Almaamari and Farooq</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">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>Out-of-Hospital Cardiac Arrest (OHCA) has low survival rates, especially in the Middle East, where bystander response in the UAE remains limited. Early cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use improve outcomes. This study assessed public willingness to intervene during OHCA and identified key predictors, barriers, and facilitators.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional survey of 1,020 UAE adults (18+) was conducted using a 35-item, expert-validated questionnaire. Participants were recruited via convenience and snowball sampling, both online and in person. Descriptive statistics and binary logistic regression were conducted to identify factors associated with willingness to intervene.</p>
</sec>
<sec>
<title>Results</title>
<p>Responses were predominantly from younger, educated individuals, with South Asians underrepresented relative to the overall UAE population. CPR and AED training were reported by 52 and 34% of participants, respectively. Training was lower among females, South Asians, and those with lower educational attainment. Training correlated with greater confidence and positive attitudes; however, both trained and untrained individuals reported similar cultural and legal barriers to bystander response. Approximately 60.6% of survey responders were willing to perform CPR, while 46.8% were willing to use an AED. Women were more likely to perform CPR on young females, while men were more likely to assist young males. Prior training emerged as the strongest predictor of willingness, with repeated training further increasing willingness alongside being a healthcare provider, confidence in recognizing cardiac arrest, and positive attitudes toward bystander intervention. The main barriers included a lack of skill, legal concerns, and low confidence, while key facilitators were dispatcher guidance and legal protection. Among trained but unwilling participants, more than half cited low confidence as a barrier to performing CPR and using an AED.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Addressing observed demographic, regional, and cultural disparities in training and willingness through targeted public health strategies could support improved bystander response in the UAE.</p>
</sec>
</abstract>
<kwd-group>
<kwd>AED</kwd>
<kwd>bystander</kwd>
<kwd>cardiopulmonary resuscitation</kwd>
<kwd>community willingness</kwd>
<kwd>defibrillation</kwd>
<kwd>out of hospital cardiac arrest</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the SURE Plus Grant (G00004869) provided by the College of Medicine and Health Sciences, United Arab Emirates University (UAEU).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="10"/>
<word-count count="6426"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Out-of-Hospital Cardiac Arrest (OHCA) is a major public health challenge. The true burden of OHCA remains uncertain due to underreporting and the regional differences in data collection (<xref ref-type="bibr" rid="ref1">1</xref>). Global data compiled by the International Liaison Committee on Resuscitation from 15 registries across North America, Europe, Asia, and Oceania estimated the incidence of EMS-treated OHCA at 30.0&#x2013;100.2 per 100,000 population between 2015 and 2017, with survival to hospital discharge or 30-day survival ranging from 4.6 to 16.4%, underscoring substantial international disparities in outcomes (<xref ref-type="bibr" rid="ref2">2</xref>). Official data sources and comprehensive population-based studies remain limited in the Middle East. Available evidence is largely derived from individual center-based studies, which report high mortality rates across several Gulf Cooperation Council countries (<xref ref-type="bibr" rid="ref3">3</xref>). Overall, survival rates in the Middle East and Asia appear lower than global averages, with most regional studies reporting survival rates below 10% (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). The PAROS study, which included data from Dubai, reported a survival rate of 3% in the United Arab Emirates (UAE) (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>Bystander response plays a crucial role in the &#x201C;Chain of Survival&#x201D; framework, which emphasizes early recognition of cardiac arrest, Emergency Medical Services (EMS) activation, bystander cardiopulmonary resuscitation (CPR), and early defibrillation (<xref ref-type="bibr" rid="ref7">7</xref>). The EuReCa TWO study across 28 European countries reported a 9.1% survival rate when CPR was initiated by bystanders, compared to 4.5% when started by EMS (<xref ref-type="bibr" rid="ref8">8</xref>). CPR can increase survival two- to threefold (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>), while public automated external defibrillator (AED) use may raise survival chances by up to 75% (<xref ref-type="bibr" rid="ref11">11</xref>). Despite this, bystander CPR rates range widely from 13% in Serbia to 82% in Norway (<xref ref-type="bibr" rid="ref8">8</xref>), and AED use varies from 9.3% in Denmark to 59.3% in the Netherlands (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Various global initiatives have been introduced to improve both CPR and AED use (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>Data on OHCA outcomes in GCC countries is limited, with lower survival rates, decreased bystander response rates, and lower rates of AED use (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). The PAROS study indicated a bystander response rate of 10.5% in the UAE, the lowest among the seven countries included from Asia and a bystander AED use rate of 0.8% (<xref ref-type="bibr" rid="ref6">6</xref>). According to the Theory of Planned Behavior, an individual&#x2019;s intention to act is influenced by attitudes, perceived social norms, and perceived control (<xref ref-type="bibr" rid="ref17">17</xref>). While various studies from other regions have examined public attitudes and willingness to intervene in OHCA, there is a literature gap in the Middle East regarding attitudes, sociocultural and demographic factors influencing bystander response. The objective of this study was to identify predictors of willingness to perform CPR and use an AED, and to describe barriers and facilitators to bystander CPR and AED use in the UAE.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study design</title>
<p>A cross-sectional survey design was employed.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Questionnaire</title>
<p>A 35-item survey was developed based on a literature review and validated for content and face validity by experts in public health and emergency medicine. It was translated into Arabic and Urdu by native speakers and back-translated for accuracy. The final versions were agreed upon with consensus within the research team (<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Study participants</title>
<p>Adults aged 18&#x202F;years and older who were either nationals or residents of the UAE were eligible to participate.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Sample size</title>
<p>The sample size for the present study was statistically estimated using Epi-Info software, based on the sample size calculation formula for cross-sectional (prevalence) studies: &#x1D45B; = &#x1D44D;<sup>2</sup>p(1&#x202F;&#x2212;&#x202F;p)/&#x1D451;<sup>2</sup> (<xref ref-type="bibr" rid="ref18">18</xref>). Where n is the required optimal sample size, Z is the Z-score for 95% confidence interval corresponding to 1.96, p is the expected proportion of bystanders responding to OHCA, and d is the margin of error, set at 2% to achieve high precision. For the expected proportion of bystanders responding to OHCA, 10.5% was used, as reported in PAROS study (<xref ref-type="bibr" rid="ref6">6</xref>). This yielded a sample size of 902 participants. Accounting for an anticipated 10% non-response rate, the target sample was increased to 992. In total, 1,021 survey submissions were received.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Data collection</title>
<p>Data collection was conducted between July and November 2024 through both online and in-person approaches. Convenience sampling and the snowball technique were employed to increase participation. The survey was disseminated via official university mailing lists and social media platforms (e.g., WhatsApp, LinkedIn, Facebook). The SurveyMonkey platform was used for online responses. Medical students administered the survey in public venues (e.g., shopping malls, parks and community centers) using tablets. The CHERRIES (Checklist for Reporting Results of Internet E-Surveys) is provided in <xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref> (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Data analysis</title>
<p>Categorical variables were summarized as frequencies and percentages, while age, as a continuous variable, was expressed as the mean and standard deviation. Associations between categorical variables were evaluated using chi-squared tests. The outcomes, willingness to perform CPR and willingness to use an AED, were coded as binary variables. Specifically, participants who responded &#x201C;definitely yes&#x201D; or &#x201C;probably yes&#x201D; were classified as willing (coded 1), whereas those who responded &#x201C;definitely no&#x201D; or &#x201C;probably no&#x201D; were classified as unwilling (coded 0). Binary logistic regression models were constructed to identify predictors of willingness to provide CPR and use an AED. Missing data were minimal (&#x003C;7% across variables), with no missing data in the outcome variables therefore complete case analysis was applied using using R&#x2019;s glm() function.</p>
<p>For multivariable analysis, variables with <italic>p</italic>-values &#x003C; 0.1 in the univariate models (<xref rid="SM1" ref-type="supplementary-material">Appendix Table A5</xref>) were included in the multivariable model to retain potentially relevant predictors while minimizing overfitting. Statistical significance was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. The assumption of independence was ensured, as each response was collected from a unique participant, with one response permitted per browser. For in-person tablet-based data collection, surveys were administered individually by data collectors, ensuring that each participant completed the survey only once. Multicollinearity was assessed using variance inflation factors (VIF), with all values remaining below our conservative threshold of 5, indicating no concerning collinearity among predictors (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Ethical considerations</title>
<p>The study was approved by the UAE University Ethics Board (ERSC_2024_4460). All participants provided informed consent.</p>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<label>3</label>
<title>Results</title>
<p>The study included 1,020 participants (mean age 28&#x202F;&#x00B1;&#x202F;11&#x202F;years), mostly young adults aged 18&#x2013;35 (76%), with 60% women and 71% being Emiratis. Nearly half of the participants (49%) lived in Al-Ain, and 22% were healthcare providers. Only 51% knew the correct emergency contact number (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographics, characteristics and training status of participants (<italic>N</italic>&#x202F;=&#x202F;1,020).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Study variables</th>
<th align="left" valign="top">Categories</th>
<th align="center" valign="top"><italic>N</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="3">Demographics</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Age</td>
<td align="left" valign="top">18&#x2013;35</td>
<td align="center" valign="top">771 (76%)</td>
</tr>
<tr>
<td align="left" valign="top">36&#x2013;49</td>
<td align="center" valign="top">192 (19%)</td>
</tr>
<tr>
<td align="left" valign="top">50 and above</td>
<td align="center" valign="top">57 (5%)</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">611 (60%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Marital status</td>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">325 (32%)</td>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">656 (64%)</td>
</tr>
<tr>
<td align="left" valign="top">Divorced/widowed</td>
<td align="center" valign="top">39 (3.8%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Location</td>
<td align="left" valign="top">Abu Dhabi</td>
<td align="center" valign="top">326 (32%)</td>
</tr>
<tr>
<td align="left" valign="top">Al Ain</td>
<td align="center" valign="top">501 (49%)</td>
</tr>
<tr>
<td align="left" valign="top">Dubai</td>
<td align="center" valign="top">75 (7.4%)</td>
</tr>
<tr>
<td align="left" valign="top">Others (Sharjah, Fujairah, Ras al Khaima, Ajman, Umm Al-Quwain)</td>
<td align="center" valign="top">118 (12%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Ethnicity</td>
<td align="left" valign="top">Emirati</td>
<td align="center" valign="top">727 (71%)</td>
</tr>
<tr>
<td align="left" valign="top">Other Arab</td>
<td align="center" valign="top">152 (15%)</td>
</tr>
<tr>
<td align="left" valign="top">South Asian</td>
<td align="center" valign="top">92 (9.0%)</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">49 (5%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Education level</td>
<td align="left" valign="top">Primary/secondary school</td>
<td align="center" valign="top">212 (21%)</td>
</tr>
<tr>
<td align="left" valign="top">College/University</td>
<td align="center" valign="top">599 (59%)</td>
</tr>
<tr>
<td align="left" valign="top">Postgraduate</td>
<td align="center" valign="top">201 (20%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Employment</td>
<td align="left" valign="top">Employed</td>
<td align="center" valign="top">669 (66%)</td>
</tr>
<tr>
<td align="left" valign="top">Unemployed</td>
<td align="center" valign="top">351 (34%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Monthly income (Emirati Dirhams)</td>
<td align="left" valign="top">&#x003C; 15,000</td>
<td align="center" valign="top">274 (50%)</td>
</tr>
<tr>
<td align="left" valign="top">15,000-29,9,999</td>
<td align="center" valign="top">133 (24%)</td>
</tr>
<tr>
<td align="left" valign="top">30,000-44,999</td>
<td align="center" valign="top">87 (16%)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;&#x202F;=&#x202F;45,000</td>
<td align="center" valign="top">55 (10%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Characteristics</td>
</tr>
<tr>
<td align="left" valign="top">Healthcare providers</td>
<td/>
<td align="center" valign="top">227 (22%)</td>
</tr>
<tr>
<td align="left" valign="top">Know correct medical emergency number</td>
<td/>
<td align="center" valign="top">493(51%)</td>
</tr>
<tr>
<td align="left" valign="top">Personal history of heart disease</td>
<td/>
<td align="center" valign="top">70 (7.1%)</td>
</tr>
<tr>
<td align="left" valign="top">Family history of heart disease</td>
<td/>
<td align="center" valign="top">365 (37%)</td>
</tr>
<tr>
<td align="left" valign="top">Residing with family member aged &#x003E;65</td>
<td/>
<td align="center" valign="top">442 (45%)</td>
</tr>
<tr>
<td align="left" valign="top">Believe that bystander CPR can increase survival (positive attitude)</td>
<td/>
<td align="center" valign="top">888 (94%)</td>
</tr>
<tr>
<td align="left" valign="top">Confident in recognizing cardiac arrest</td>
<td/>
<td align="center" valign="top">436 (45%)</td>
</tr>
<tr>
<td align="left" valign="top">Witnessed arrest</td>
<td/>
<td align="center" valign="top">165 (21%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Training status</td>
</tr>
<tr>
<td align="left" valign="top">Trained for CPR</td>
<td/>
<td align="center" valign="top">459 (52%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Frequency of training among trained (CPR) (<italic>n</italic>&#x202F;=&#x202F;459)</td>
<td align="left" valign="top">1 time</td>
<td align="center" valign="top">159 (38%)</td>
</tr>
<tr>
<td align="left" valign="top">2 times</td>
<td align="center" valign="top">104 (24%)</td>
</tr>
<tr>
<td align="left" valign="top">3 times or more</td>
<td align="center" valign="top">159 (38%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Last Trained (CPR) (<italic>n</italic>&#x202F;=&#x202F;459)</td>
<td align="left" valign="top">Less than 1&#x202F;year ago,</td>
<td align="center" valign="top">204 (48%)</td>
</tr>
<tr>
<td align="left" valign="top">More than 1&#x202F;year ago but within 5&#x202F;years</td>
<td align="center" valign="top">151 (36%)</td>
</tr>
<tr>
<td align="left" valign="top">More Than 5&#x202F;years ago</td>
<td align="center" valign="top">69 (16%)</td>
</tr>
<tr>
<td align="left" valign="top">Trained for AED</td>
<td/>
<td align="center" valign="top">278 (34%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Frequency of training among trained (AED) (<italic>n</italic>&#x202F;=&#x202F;278)</td>
<td align="left" valign="top">1 time</td>
<td align="center" valign="top">77 (33%)</td>
</tr>
<tr>
<td align="left" valign="top">2 times</td>
<td align="center" valign="top">65 (28%)</td>
</tr>
<tr>
<td align="left" valign="top">3 times or more</td>
<td align="center" valign="top">92 (39%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Last Trained (AED) (<italic>n</italic>&#x202F;=&#x202F;278)</td>
<td align="left" valign="top">Less than 1&#x202F;year ago,</td>
<td align="center" valign="top">152 (63%)</td>
</tr>
<tr>
<td align="left" valign="top">More than 1&#x202F;year ago but within 5&#x202F;years</td>
<td align="center" valign="top">76 (32%)</td>
</tr>
<tr>
<td align="left" valign="top">More Than 5&#x202F;years ago</td>
<td align="center" valign="top">12 (5.0%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Percentages are calculated excluding non-responses and some variables may not sum to 100%.</p>
</table-wrap-foot>
</table-wrap>
<sec id="sec11">
<label>3.1</label>
<title>Training</title>
<p>Overall, 52% of participants had received CPR training, and 34% had received AED training, with rates varying significantly by sex, education, location, and nationality (<xref rid="SM1" ref-type="supplementary-material">Appendix Tables A1&#x2013;A2</xref>). Males were more likely than females to be trained in CPR (58% vs. 48%, <italic>p</italic>&#x202F;=&#x202F;0.003). Ethnicity was significantly associated with both CPR and AED training (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) with South Asians reporting lowest rates (CPR 22% vs. 56%; AED 11% vs. 37% in Emiratis <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Education level influenced AED training, increasing from 28% among those with primary/secondary education to 45% among postgraduates (<italic>p</italic>&#x202F;=&#x202F;0.003). Both personal and family history of heart disease were linked to higher training rates (CPR: 74% vs. 50 and 59% vs. 48%; AED: 69% vs. 31 and 41% vs. 30%; all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Belief in bystander CPR effectiveness (54% vs. 19%) and witnessing a cardiac arrest (CPR 78% vs. 47%; AED 71% vs. 24%, all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) were strongly associated with training. Confidence showed a dose-dependent association for both (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) with training rising from 15% CPR/4% AED among the &#x201C;Not confident&#x201D; to 82% CPR/85% AED among the &#x201C;Very confident&#x201D; (<xref rid="SM1" ref-type="supplementary-material">Appendix Tables A1, A2</xref>).</p>
</sec>
<sec id="sec12">
<label>3.2</label>
<title>Willingness to perform CPR and use an AED</title>
<p>On bivariate analysis, willingness to perform CPR and use an AED was associated with higher education (CPR: 68% in postgraduates vs. 57% in primary/secondary, <italic>p</italic>&#x202F;=&#x202F;0.044; AED: 56% vs. 38%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), healthcare provider status (CPR:80% vs. 55%; AED:70% vs. 40%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and location, with respondents from the Northern Emirates less willing than those from Abu Dhabi (CPR: 44% vs. 67%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; AED: 36% vs. 51%, <italic>p</italic>&#x202F;=&#x202F;0.048). Attitudinal and experiential factors including positive attitude (CPR: 67% vs. 46%, <italic>p</italic>&#x202F;=&#x202F;0.002; AED: 52% vs. 26%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), recognition of cardiac arrest (CPR: 77% vs. 54%; AED: 60% vs. 39%, p&#x202F;&#x003C;&#x202F;0.001), and witnessing an arrest (CPR: 87% vs. 66%; AED: 78% vs. 53%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) also predicted greater willingness, as did history of heart disease (CPR: 74% vs. 61%, <italic>p</italic>&#x202F;=&#x202F;0.033; AED: 70% vs. 47%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Training showed the strongest dose&#x2013;response effects: prior training (CPR: 84% vs. 56%; AED: 88% vs. 43%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) repeated sessions (CPR: 94% vs. 69%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; AED: 91% vs. 81%, <italic>p</italic>&#x202F;=&#x202F;0.045) and more recent exposure (CPR: 89% vs. 68%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; AED: 91% vs. 84%, <italic>p</italic>&#x202F;=&#x202F;0.005) were all linked to higher willingness. Confidence in performing CPR demonstrated a clear gradient ranging from 41% (CPR) and 29% (AED) among participants who reported &#x201C;not confident&#x201D; to 93% (CPR) and 92% (AED) among those who reported &#x201C;very confident&#x201D; (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001 for both) (<xref rid="SM1" ref-type="supplementary-material">Appendix Tables A3, A4</xref>).</p>
<p>In the multivariable analysis, prior training emerged as the strongest and most consistent predictor of willingness for both CPR and AED use, demonstrating clear dose-dependent effects. For CPR, training once (OR 1.65, 95% CI 1.02&#x2013;2.69, <italic>p</italic>&#x202F;=&#x202F;0.041), twice (OR 4.12, 95% CI 2.13&#x2013;8.57, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and three or more times (OR 6.73, 95% CI 3.07&#x2013;17.0, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) was associated with progressively higher willingness. Similarly, for AED use, training once (OR 5.10, 95% CI 2.00&#x2013;14.5, <italic>p</italic>&#x202F;=&#x202F;0.001), twice (OR 27.1, 95% CI 7.29&#x2013;178, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and three or more times (OR 22.1, 95% CI 7.19&#x2013;85.8, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) substantially increased willingness.</p>
<p>For CPR, willingness was independently higher among healthcare providers (OR 2.33, 95% CI 1.13&#x2013;5.21, <italic>p</italic>&#x202F;=&#x202F;0.029) and those confident in recognizing cardiac arrest (OR 1.58, 95% CI 1.03&#x2013;2.43, <italic>p</italic>&#x202F;=&#x202F;0.036), whereas for AED use, belief that bystander CPR can improve survival independently predicted willingness (OR 3.90, 95% CI 1.14&#x2013;18.3, <italic>p</italic>&#x202F;=&#x202F;0.048) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Odds ratios from multivariable logistic regression for willingness to perform CPR and Use AED.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Characteristics</th>
<th align="left" valign="top" rowspan="2">Categories</th>
<th align="center" valign="top" colspan="2">CPR Willingness</th>
<th align="center" valign="top" colspan="2">AED Willingness</th>
</tr>
<tr>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex (ref: Female)</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">0.93 (0.61, 1.44)</td>
<td align="center" valign="top">0.80</td>
<td align="center" valign="top">0.86 (0.51, 1.46)</td>
<td align="center" valign="top">0.60</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Marital status (ref: Married)</td>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">1.03 (0.55, 1.93)</td>
<td align="center" valign="top">&#x003E;0.90</td>
<td align="center" valign="top">1.13 (0.65, 1.97)</td>
<td align="center" valign="top">0.7</td>
</tr>
<tr>
<td align="left" valign="top">Divorced/widowed</td>
<td align="center" valign="top">0.53 (0.17, 1.67)</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">0.48 (0.17, 1.33)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Education level (ref: Primary/secondary school)</td>
<td align="left" valign="top">College/University (bachelor&#x2019;s degree or equivalent)</td>
<td align="center" valign="top">1.02 (0.65, 1.60)</td>
<td align="center" valign="top">&#x003E;0.90</td>
<td align="center" valign="top">1.31 (0.62, 2.82)</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top">Postgraduate</td>
<td align="center" valign="top">1.12 (0.52, 2.46)</td>
<td align="center" valign="top">0.80</td>
<td align="center" valign="top">1.78 (0.79, 4.06)</td>
<td align="center" valign="top">0.20</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Employment (ref: Employed)</td>
<td align="left" valign="top">Student</td>
<td align="center" valign="top">0.78 (0.44, 1.38)</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Unemployed</td>
<td align="center" valign="top">1.31 (0.56, 3.23)</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Income level (ref: &#x003C; 30,000 AED)</td>
<td align="left" valign="top">&#x003E;30,000 AED</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
<td align="center" valign="top">0.89 (0.45, 1.73)</td>
<td align="center" valign="top">0.7</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Location (ref: Abu Dhabi)</td>
<td align="left" valign="top">Al ain</td>
<td align="center" valign="top">0.84 (0.54, 1.31)</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">1.63 (0.92, 2.93)</td>
<td align="center" valign="top">0.10</td>
</tr>
<tr>
<td align="left" valign="top">Dubai</td>
<td align="center" valign="top">0.75 (0.36, 1.59)</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">1.70 (0.60, 4.93)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">Northern Emirates (Sharjah, Fujairah, Ras al Khaima, Ajman, Umm Al-Quwain)</td>
<td align="center" valign="top">0.70 (0.38, 1.32)</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">2.02 (0.73, 5.73)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top">Ethnicity (ref: Emiratis)</td>
<td align="left" valign="top">Other Arabs</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
<td align="center" valign="top">0.56 (0.28, 1.10)</td>
<td align="center" valign="top">0.095</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">South Asians</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
<td align="center" valign="top">0.51 (0.24, 1.09)</td>
<td align="center" valign="top">0.084</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
<td align="center" valign="top">0.30 (0.10, 0.81)</td>
<td align="center" valign="top"><bold>0.020</bold></td>
</tr>
<tr>
<td align="left" valign="top">Healthcare Provider (ref: No)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">2.33 (1.13, 5.21)</td>
<td align="center" valign="top"><bold>0.029</bold></td>
<td align="center" valign="top">1.08 (0.54, 2.17)</td>
<td align="center" valign="top">0.80</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Trained (ref: Not trained)</td>
<td align="left" valign="top">Trained once</td>
<td align="center" valign="top">1.65 (1.02, 2.69)</td>
<td align="center" valign="top"><bold>0.041</bold></td>
<td align="center" valign="top">5.10 (2.00, 14.5)</td>
<td align="center" valign="top"><bold>0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Trained twice</td>
<td align="center" valign="top">4.12 (2.13, 8.57)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">27.1 (7.29, 178)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Trained thrice or more</td>
<td align="center" valign="top">6.73 (3.07, 17.0)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">22.1 (7.19, 85.8)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Positive attitude towards CPR (ref: No)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.15 (0.53, 2.51)</td>
<td align="center" valign="top">0.70</td>
<td align="center" valign="top">3.90 (1.14, 18.3)</td>
<td align="center" valign="top"><bold>0.048</bold></td>
</tr>
<tr>
<td align="left" valign="top">History of heart Disease (ref: No)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.24 (0.43, 4.06)</td>
<td align="center" valign="top">0.70</td>
<td align="center" valign="top">1.62 (0.51, 5.29)</td>
<td align="center" valign="top">0.40</td>
</tr>
<tr>
<td align="left" valign="top">Family history of heart disease (ref: No)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">0.79 (0.52, 1.21)</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">1.23 (0.73, 2.08)</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">Residing with family member aged &#x003E;65 (ref: No)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.51 (0.89, 2.55)</td>
<td align="center" valign="top">0.13</td>
</tr>
<tr>
<td align="left" valign="top">Ability to recognize cardiac arrest</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.58 (1.03, 2.43)</td>
<td align="center" valign="top"><bold>0.036</bold></td>
<td align="center" valign="top">0.95 (0.54, 1.64)</td>
<td align="center" valign="top">0.8</td>
</tr>
<tr>
<td align="left" valign="top">Witnessed cardiac arrest (ref: No)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1.57 (0.85, 3.04)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">1.33 (0.61, 2.87)</td>
<td align="center" valign="top">0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Variables with <italic>p</italic> &#x003E;&#x202F;0.1 in the univariable analysis were excluded from the multivariable model and are represented as &#x201C;&#x2014;&#x201D;.</p>
</table-wrap-foot>
</table-wrap>
<p>The likelihood of performing CPR varied significantly based on the sex of the individual in cardiac arrest. Women were more likely than men to perform CPR on children (70% vs. 63%, <italic>p</italic>&#x202F;=&#x202F;0.024) and young females (76% vs. 45%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), whereas men were more likely to perform CPR on young males (77% vs. 47%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). For AED use, the difference between men and women when intervening with male individuals was not statistically significant (61% vs. 55%, <italic>p</italic>&#x202F;=&#x202F;0.09)</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Proportion of male and female respondents more likely to perform CPR based on different individuals in cardiac arrest.</p>
</caption>
<graphic xlink:href="fpubh-14-1738145-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart showing the percentage of male and female participants who reported being more likely to perform CPR depending on the type of person in cardiac arrest. Categories on the x-axis are: child, young male, young female, elderly person (&#x003E;60 years), and family member or friend. The y-axis shows the percentage of participants reporting they were more likely to perform CPR.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec13">
<label>3.3</label>
<title>Barriers and facilitators to performing CPR and using an AED</title>
<p>Lack of skill and confidence were more commonly reported for AED (53 and 28%) than for CPR (39 and 26%), while fear of causing injury (35%) and legal concerns (28%) were more prominent for CPR than for AED (25 and 21%) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Frequencies of reported barriers to bystander CPR and AED use.</p>
</caption>
<graphic xlink:href="fpubh-14-1738145-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing reasons for reluctance to perform AED or CPR. Lack of skill is the leading barrier for both (AED fifty-three percent, CPR thirty-nine percent), followed by fear of causing injury and legal consequences.</alt-text>
</graphic>
</fig>
<p>Among CPR-trained participants, 16.3% were unwilling to perform CPR, primarily due to fear of harm (59%) and lack of confidence (55%). Among AED-trained respondents, 11.8% were reluctant to intervene due to unfamiliarity and odor of alcohol (both 100%), followed by low confidence (52%) (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Reported barriers to performing CPR by training status and willingness to act.</p>
</caption>
<graphic xlink:href="fpubh-14-1738145-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart of 1,021 study participants divided into trained (52%) and not trained (48%) groups. The chart shows willingness to perform CPR, which was higher among trained participants (84% willing) compared with not trained participants (42% willing). Among trained participants who were unwilling, the main reported barriers were fear of causing injury and lack of confidence.</alt-text>
</graphic>
</fig>
<p>Dispatcher-assisted guidance was the top enabler, followed by legal protection (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Frequencies of reported facilitators of bystander CPR and use of AED.</p>
</caption>
<graphic xlink:href="fpubh-14-1738145-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing reported facilitators for using AED and performing CPR. Dispatcher-assisted guidance was the most frequently reported facilitator for both AED (62%) and CPR (63%), followed by Legal Protection (AED 45%, CPR 50%). Compression-only CPR was reported for CPR only (35%).</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>This study identified the key predictors, barriers, and facilitators to bystander response to an OHCA in the UAE. Lower training rates were observed among females and South Asians, while AED training was also lower among residents of the Northern Emirates and those with lower education. Training was associated with higher confidence and more positive attitudes. Prior training emerged as the strongest predictor of willingness, with repeated training further increasing willingness. Additional predictors included being a healthcare provider, confidence in recognizing cardiac arrest, and belief in the effectiveness of bystander intervention (positive attitude). Bivariate analysis highlighted that more recent and repeated training was linked to higher confidence and greater willingness, demonstrating clear dose&#x2013;response patterns. Attitudinal and experiential factors, including positive attitudes, the ability to recognize cardiac arrest, and witnessing a cardiac arrest, were additionally associated with higher willingness. Likelihood of performing CPR varied by the sex of the individual in cardiac arrest, with participants more likely to respond to same-sex individuals. Key barriers and facilitators included lack of skill and confidence, fear of causing harm, and legal concerns, and among trained participants who were unwilling to intervene, about half reported low confidence. These findings align with the Theory of Planned Behavior (<xref ref-type="bibr" rid="ref17">17</xref>), highlighting strong links between willingness and confidence (control beliefs), perceived CPR effectiveness (behavioral beliefs), and prior training (which reinforces both). Social norms such as expectations related to sex and cultural attitudes toward helping strangers reflect the role of normative beliefs. Addressing all three belief domains is essential when designing interventions to promote bystander CPR and AED use.</p>
<p>In our study, 60.6% of participants were willing to perform CPR, and 46.8% were willing to use an AED. Studies have reported varying CPR willingness rates, with higher rates in studies from Taiwan (86.7%) and South Korea (67.5%), compared to lower rates in the UK (57.6%) and Austria (33%) (<xref ref-type="bibr" rid="ref21 ref22 ref23 ref24">21&#x2013;24</xref>). Similarly, AED willingness ranges from 43% in a South Korean study to 50% in an Austrian study (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). In our study population, 52% had received CPR training, and 34% had AED training. The CPR training rate in our study was lower than the rates reported from Europe (59%) and North America (65%) but higher than previous studies from the Middle East (19%) (<xref ref-type="bibr" rid="ref26">26</xref>). AED training rates from our sample matched a recent 2024 survey in Singapore (36%) but were notably higher than the 20% reported in the UK in 2017 (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). However, in a recent study from Qatar, which shares a similar context to UAE, actual bystander CPR was provided in only 34% of out-of-hospital cardiac arrests, underscoring challenges in translating willingness into real-world action (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Our findings on training disparities align with previous studies, which have consistently reported lower CPR and AED training rates among certain demographic groups, including South Asians (<xref ref-type="bibr" rid="ref29">29</xref>), individuals with lower education levels (<xref ref-type="bibr" rid="ref30">30</xref>), and older adults (<xref ref-type="bibr" rid="ref30">30</xref>). Females had lower CPR training rates, and although bivariate analysis showed reduced willingness to perform CPR, this was not significant in the multivariable model. Notably, lower willingness among females has been reported in the literature, supporting the relevance of gender as a factor in bystander response (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). Regional variations in AED training rates, identified in our study, warrant further exploration to understand underlying factors. Previous training is a key predictor of willingness to perform CPR, showing a dose-dependent relationship between the number of training sessions and the odds of intervening, including AED use. This aligns with existing literature, which indicates that repeated training enhances willingness (<xref ref-type="bibr" rid="ref22">22</xref>). Bivariate analysis further demonstrated that willingness decreases as the time since the last training increases, advocating for frequent refresher CPR training sessions. Prior studies have also highlighted skill decay over time, and the need for frequent CPR training sessions has been recommended (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>Sex influenced CPR willingness based on the affected individual&#x2019;s characteristics: women were more likely to help women and children, while men preferred assisting male individuals and family members. For AED use, sex differences were not significant when the individual in arrest was male, but men were less likely to use an AED on females. Supporting this, 23% cited same-sex individuals as a facilitator for AED use and 33% for CPR. These findings align with prior research showing women are less likely to receive CPR due to fears of inappropriate touch or accusations of sexual assault (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>The most reported barriers to CPR and AED use were lack of skill, confidence, uncertainty, fear of injury, and legal consequences, consistent with other studies (<xref ref-type="bibr" rid="ref33">33</xref>). The most frequently cited barrier among trained individuals who expressed willingness to perform CPR was the fear of legal consequences. This underscores the critical need for increased public awareness regarding the Good Samaritan Law, which was enacted in the UAE in November 2020 (<xref ref-type="bibr" rid="ref34">34</xref>). Notably, 50% of respondents identified legal protection as a key motivator for initiating CPR, emphasizing the law&#x2019;s potential role in encouraging bystander intervention. The perception of legal concerns as a barrier varies across studies, potentially due to differing legislative frameworks and levels of public awareness (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). Furthermore, among participants who were unwilling to perform CPR despite training, 55% cited a lack of confidence in their CPR skills, and 52% lacked confidence in using an AED. This highlights the importance of training programs that enhance both technical skills and psychological readiness.</p>
<p>Dispatcher-assisted CPR (DA-CPR) was identified as a key facilitator in our study, consistent with findings from the UK, where 82% of participants reported confidence if an emergency responder guides them (<xref ref-type="bibr" rid="ref35">35</xref>). Around 35% of participants identified compression-only CPR (CO-CPR) as a facilitator. In another study, 61% preferred CO-CPR on unknown individuals, which means significant bystander CPR rates may be increased by promoting CO- CPR (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>Based on our findings, several targeted interventions are needed to improve bystander response to OHCA. Efforts to improve training rates could emphasize female inclusivity and outreach to underrepresented ethnic groups, especially South Asians. Variations across emirates should be further explored using more diverse samples to improve accessibility. Frequent, repeated training integrated into school curricula, linked to driver&#x2019;s licenses, and supported by CPR self-training kits can increase training rates and bystander response, as seen in Denmark, where such measures doubled bystander CPR (<xref ref-type="bibr" rid="ref37">37</xref>). Promoting DA-CPR and CO-CPR can further boost intervention. Cultural and religious concerns, particularly CPR on opposite-sex, culd be addressed through engagement with the community and religious leaders and legal concerns could be addressed by raising awareness about Good Samaritan laws. According to the willingness-centered bystander model, an individual&#x2019;s decision to help is shaped by personal beliefs, social norms, and confidence in predicting the outcome of their actions (<xref ref-type="bibr" rid="ref38">38</xref>), as demonstrated in our study, where a positive attitude was strongly associated with the willingness to perform CPR. These findings suggest that promoting positive beliefs about the potential life-saving impact of bystander CPR and AED use may support greater willingness to intervene.</p>
<sec id="sec15">
<label>4.1</label>
<title>Limitations</title>
<p>The limitations of this study should be considered when interpreting the results. First, the cross-sectional design precludes causal inference. Second, convenience sampling may introduce selection bias, as more accessible or more willing to participate might not represent the broader population. Additionally, recruitment sources such as university mailing lists compared to public locations may have resulted in differing probabilities of CPR training exposure among participants. Third, our sample demonstrated a skewed regional and demographic distribution, with an overrepresentation of younger, educated Emiratis primarily from Al Ain and Abu Dhabi, which may limit the generalizability of our findings to the wider UAE population. Notably, South Asians, who make up approximately 50% of the UAE population, were underrepresented (9%) in our sample (<xref ref-type="bibr" rid="ref39">39</xref>). Fourth, for participants trained two or three times, estimates showed wide confidence intervals, reflecting limited precision for these categories. Fifth, recall imprecision may influence self-reported training frequency and recency of training and measures such as confidence in performing CPR and ability to recognize cardiac arrest were also self-reported rather than objectively assessed. Finally, while behavioral intentions predict actions, their concordance with actual responses to out-of-hospital cardiac arrest remains uncertain.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec16">
<label>5</label>
<title>Conclusion</title>
<p>Despite the Good Samaritan Law and existing CPR training programs, significant barriers to bystander intervention remain in the UAE. Our findings suggest that inclusive and culturally sensitive training, along with measures addressing behavioral barriers related to legal concerns and social norms, may help support bystander response in out-of-hospital cardiac arrest (OHCA) situations. Supportive approaches, such as dispatcher-assisted CPR and compression-only CPR, were also identified as potential facilitators. Representative national estimates of training and actual bystander CPR and AED use are needed. Furthermore qualitative research is needed to gain a deeper understanding of the social, cultural, and legal barriers affecting both trained and untrained bystanders.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>The study was approved by the UAE University Ethics Board (ERSC_2024_4460). 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 sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>UH: Conceptualization, Investigation, Methodology, Validation, Visualization, Writing &#x2013; original draft. AR: Methodology, Project administration, Writing &#x2013; review &#x0026; editing. AA: Formal analysis, Methodology, Writing &#x2013; review &#x0026; editing. MB: Data curation, Writing &#x2013; review &#x0026; editing. KAls: Data curation, Writing &#x2013; review &#x0026; editing. MA: Data curation, Writing &#x2013; review &#x0026; editing. NA: Data curation, Writing &#x2013; review &#x0026; editing. OA: Data curation, Writing &#x2013; review &#x0026; editing. SA: Data curation, Writing &#x2013; review &#x0026; editing. KAlm: Data curation, Writing &#x2013; review &#x0026; editing. MF: Conceptualization, Funding acquisition, Supervision, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec20">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec21">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not 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>
</sec>
<sec sec-type="disclaimer" id="sec22">
<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 sec-type="supplementary-material" id="sec23">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2026.1738145/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2026.1738145/full#supplementary-material</ext-link></p>
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<supplementary-material xlink:href="Data_Sheet_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1676318/overview">Chih-Wei Sung</ext-link>, National Taiwan University Hospital Hsin-Chu Branch, Taiwan</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/768245/overview">Shajitha Thekke Veettil</ext-link>, Primary Health Care Corporation (PHCC), Qatar</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1940972/overview">Sih-Shiang Huang</ext-link>, National Taiwan University Hospital, Taiwan</p>
</fn>
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