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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2024.1342490</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Evaluating the influence of a 3-min online video on the community knowledge of stroke in four Arab countries</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Iskandar</surname> <given-names>Katia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</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="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Rahme</surname> <given-names>Deema</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn0004"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Salameh</surname> <given-names>Pascale</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="author-notes" rid="fn0005"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Haddad</surname> <given-names>Chadia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="author-notes" rid="fn0006"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sacre</surname> <given-names>Hala</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<xref ref-type="author-notes" rid="fn0007"><sup>&#x2020;</sup></xref>
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<name><surname>Bahlol</surname> <given-names>Mohamed</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
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<contrib contrib-type="author">
<name><surname>Darwish</surname> <given-names>Rula M.</given-names></name>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
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<contrib contrib-type="author">
<name><surname>El Khatib</surname> <given-names>Sarah</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0008"><sup>&#x2020;</sup></xref>
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<name><surname>Safwan</surname> <given-names>Jihan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0009"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sakr</surname> <given-names>Fouad</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref>
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<name><surname>Rahhal</surname> <given-names>Mohamad</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Hosseini</surname> <given-names>Hassan</given-names></name>
<xref ref-type="aff" rid="aff15"><sup>15</sup></xref>
<xref ref-type="aff" rid="aff16"><sup>16</sup></xref>
<xref ref-type="author-notes" rid="fn0010"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cherfane</surname> <given-names>Michelle</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff17"><sup>17</sup></xref>
<xref ref-type="author-notes" rid="fn0011"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>School of Pharmacy, Lebanese International University</institution>, <addr-line>Beirut</addr-line>, <country>Lebanon</country></aff>
<aff id="aff2"><sup>2</sup><institution>INSPECT-LB (Institut National de Sant&#x00E9; Publique, d&#x2019;&#x00C9;pid&#x00E9;miologie Clinique et de Toxicologie-Liban)</institution>, <addr-line>Beirut</addr-line>, <country>Lebanon</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Health and Social Work, School of Public Health, Lebanese University</institution>, <addr-line>Fanar</addr-line>, <country>Lebanon</country></aff>
<aff id="aff4"><sup>4</sup><institution>Higher Institute of Public Health (ISSP), Saint Joseph University of Beirut</institution>, <addr-line>Beirut</addr-line>, <country>Lebanon</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Pharmacy Practice, School of Pharmacy, Beirut Arab University, Beirut</institution>, <addr-line>Beirut</addr-line>, <country>Lebanon</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Primary Care and Population Health, University of Nicosia Medical School</institution>, <addr-line>Nicosia</addr-line>, <country>Cyprus</country></aff>
<aff id="aff7"><sup>7</sup><institution>Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University</institution>, <addr-line>Byblos</addr-line>, <country>Lebanon</country></aff>
<aff id="aff8"><sup>8</sup><institution>Faculty of Pharmacy, Lebanese University</institution>, <addr-line>Hadat</addr-line>, <country>Lebanon</country></aff>
<aff id="aff9"><sup>9</sup><institution>Research Department, Psychiatric Hospital of the Cross</institution>, <addr-line>Jal Eddib</addr-line>, <country>Lebanon</country></aff>
<aff id="aff10"><sup>10</sup><institution>Drug Information Center, Order of Pharmacists of Lebanon</institution>, <addr-line>Beirut</addr-line>, <country>Egypt</country></aff>
<aff id="aff11"><sup>11</sup><institution>Department of Pharmaceutical management and economics, Department Pharmacy Practice and Clinical Pharmacy, Faculty of Pharmacy, Egyptian Russian University</institution>, <addr-line>Badr city, Cairo governorate</addr-line>, <country>Egypt</country></aff>
<aff id="aff12"><sup>12</sup><institution>Department of Pharmaceutics and Pharmaceutical Technology, School of Pharmacy, The University of Jordan</institution>, <addr-line>Amman</addr-line>, <country>Jordan</country></aff>
<aff id="aff13"><sup>13</sup><institution>&#x00C9;cole Doctorale Sciences de la Vie et de la Sant&#x00E9;, Universit&#x00E9; Paris-Est Cr&#x00E9;teil</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff14"><sup>14</sup><institution>UMR U955 INSERM, Institut Mondor de Recherche Biom&#x00E9;dicale, Universit&#x00E9; Paris-Est Cr&#x00E9;teil</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff15"><sup>15</sup><institution>INSERM U955-E01, IMRB, Henri Mondor Hospital</institution>, <addr-line>Cr&#x00E9;teil</addr-line>, <country>France</country></aff>
<aff id="aff16"><sup>16</sup><institution>Department of Neurology, Henri Mondor Hospital, AP-HP</institution>, <addr-line>Cr&#x00E9;teil</addr-line>, <country>France</country></aff>
<aff id="aff17"><sup>17</sup><institution>Environmental and Public Health Department, College of Health Sciences, Abu Dhabi University</institution>, <addr-line>Abu Dhabi</addr-line>, <country>United Arab Emirates</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0012">
<p>Edited by: Mohan Bairwa, All India Institute of Medical Sciences, India</p>
</fn>
<fn fn-type="edited-by" id="fn0013">
<p>Reviewed by: Abolfazl Avan, Western University, Canada</p>
<p>Intan Idiana Hassan, Universiti Sains Malaysia Health Campus, Malaysia</p>
<p>Ahmed Kharbach, Mohammed V University at Souissi, Morocco</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Katia Iskandar, <email>katia_iskandar@hotmail.com</email></corresp>
<fn fn-type="other" id="fn0003">
<p><sup>&#x2020;</sup>ORCID: Katia Iskandar, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-5544-6681">https://orcid.org/0000-0001-5544-6681</ext-link></p>
</fn>
<fn fn-type="other" id="fn0004">
<p>Deema Rahme, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-4245-9699">https://orcid.org/0000-0003-4245-9699</ext-link></p>
</fn>
<fn fn-type="other" id="fn0005">
<p>Pascale Salameh, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-4780-0772">https://orcid.org/0000-0002-4780-0772</ext-link></p>
</fn>
<fn fn-type="other" id="fn0006">
<p>Chadia Haddad, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-6438-0159">https://orcid.org/0000-0002-6438-0159</ext-link></p>
</fn>
<fn fn-type="other" id="fn0007">
<p>Hala Sacre, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-2413-2684">https://orcid.org/0000-0003-2413-2684</ext-link></p>
</fn>
<fn fn-type="other" id="fn0008">
<p>Sarah El Khatib, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-6547-6251">https://orcid.org/0000-0001-6547-6251</ext-link></p>
</fn>
<fn fn-type="other" id="fn0009">
<p>Jihan Safwan, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-8599-1103">https://orcid.org/0000-0001-8599-1103</ext-link></p>
</fn>
<fn fn-type="other" id="fn0010">
<p>Hassan Hosseini, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-8602-1042">https://orcid.org/0000-0002-8602-1042</ext-link></p>
</fn>
<fn fn-type="other" id="fn0011">
<p>Michelle Cherfane, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-2169-3788">https://orcid.org/0000-0002-2169-3788</ext-link></p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1342490</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Iskandar, Rahme, Salameh, Haddad, Sacre, Bahlol, Darwish, El Khatib, Safwan, Sakr, Rahhal, Hosseini and Cherfane.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Iskandar, Rahme, Salameh, Haddad, Sacre, Bahlol, Darwish, El Khatib, Safwan, Sakr, Rahhal, Hosseini and Cherfane</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>Studies from developed and developing countries showed that the knowledge levels of stroke need improvement. Educational campaigns varied and were of limited influence predominantly because of their short duration and the need for financial support. The study aims to test the impact of a 3-min online video on the knowledge of stroke and factors influencing the knowledge score in four Arab countries.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A cross-sectional web-based pre-post study was conducted in Egypt, Jordan, Lebanon, and the United Arab Emirates. The data were collected using the snowball technique. Participants were adults aged 18&#x2009;years and above. The questionnaire sequence was conducting a pretest, followed by the educational video explaining stroke occurrence, types, risks, warning signs, preventive measures, and treatment, and finally, a posttest to evaluate the differences in knowledge from baseline. Statistical analysis included paired <italic>t</italic>-tests comparing pre-post-education stroke knowledge scores, while repeated measures ANOVA, adjusting for covariates, assessed mean changes.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The total number of participants was 2,721, mainly younger than 55&#x2009;years. The majority had a university degree and were not healthcare professionals. A significant improvement was noted in the total knowledge score in all countries from a mean average (<italic>M</italic><sub>pretest</sub>&#x2009;=&#x2009;21.11; <italic>M</italic><sub>posttest</sub>&#x2009;=&#x2009;23.70) with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. Identification of the stroke risks (<italic>M</italic><sub>pretest</sub>&#x2009;=&#x2009;7.40; <italic>M</italic><sub>posttest</sub>&#x2009;=&#x2009;8.75) and warning signs (<italic>M</italic><sub>pretest</sub>&#x2009;=&#x2009;4.19; <italic>M</italic><sub>posttest</sub>&#x2009;=&#x2009;4.94), understanding the preventive measures (<italic>M</italic><sub>pretest</sub>&#x2009;=&#x2009;5.27; <italic>M</italic><sub>posttest</sub>&#x2009;=&#x2009;5.39) and the importance of acting fast (<italic>M</italic><sub>pretest</sub>&#x2009;=&#x2009;0.82; <italic>M</italic><sub>posttest</sub>&#x2009;=&#x2009;0.85) improved from baseline with (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) for all score components.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The educational tool successfully enhanced public understanding of stroke risks, the identification of stroke signs, and the critical need for emergency action. The advantages of this video include its short length, free online access, use of evidence-based content in lay language, and reflective images. The ultimate goal remains the long-term improvement of sustainability by mandating full-scale trials.</p>
</sec>
</abstract>
<kwd-group>
<kwd>stroke</kwd>
<kwd>knowledge</kwd>
<kwd>video</kwd>
<kwd>educational tool</kwd>
<kwd>Arab countries</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="13"/>
<word-count count="8012"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Stroke is the second leading cause of morbidity and mortality worldwide (<xref ref-type="bibr" rid="ref1">1</xref>). The number of deaths due to stroke was 6.6 million in 2020, a figure projected to increase by at least 50% by 2050 (<xref ref-type="bibr" rid="ref1">1</xref>). The burden of disability linked with disease complications is also on the rise, with an estimated increase from 144.8 million disability-adjusted life-years (DALYs) in 2020 to 189.3 million DALYs by 2050 (<xref ref-type="bibr" rid="ref1">1</xref>). Previous data on the incidence and deaths due to stroke have been markedly and rapidly increasing since the 1990s, predominantly in low- and middle-income countries (LMICs) (<xref ref-type="bibr" rid="ref1">1</xref>). The recent alarming findings are the higher incidence of stroke in young individuals (18&#x2013;50&#x2009;years) (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Stroke is also associated with high economic impact, with estimated costs of treatment, rehabilitation, and loss of productivity exceeding US$891 billion per year globally (<xref ref-type="bibr" rid="ref1">1</xref>). Evidence-based solutions have been proposed to reduce the global incidence of stroke based on the following four pillars: surveillance, prevention, acute care, and rehabilitation (<xref ref-type="bibr" rid="ref1">1</xref>). Primordial prevention of stroke meets the sustainable development goals (<xref ref-type="bibr" rid="ref4">4</xref>), including (1) reducing poverty, (2) improving socioeconomic conditions, (3) universal health coverage, (4) health equity, (5) reducing air pollution, (6) healthy lifestyle, (7) building healthy cities and homes, (8) and public health campaigns to raise awareness about stroke and stroke risk factors (<xref ref-type="bibr" rid="ref1">1</xref>).</p>
<p>The World Health Organization and the Lancet Neurology Commission surveyed 84 LMICs and high-income countries (HICs) to compare the status of stroke services. The results showed numerous deficiencies, including a lack of public education in many countries (<xref ref-type="bibr" rid="ref5">5</xref>). The scope of this study is primordial community education as a preventive measure of stroke occurrence and recurrence (<xref ref-type="bibr" rid="ref6">6</xref>). Primordial stroke prevention consists of activities to avoid stroke risk factors, whereas primary prevention aims to limit or manage exposure to risk factors for stroke (<xref ref-type="bibr" rid="ref6">6</xref>). Research showed that the community knowledge of stroke symptoms, prevention measures, and the urgency of hospitalization in case of an event is poor or lacking in both LMICs and HICs (<xref ref-type="bibr" rid="ref7 ref8 ref9">7&#x2013;9</xref>).</p>
<p>Educational campaigns, including mass media (<xref ref-type="bibr" rid="ref10">10</xref>), and digital platforms such as mobile applications [e.g., the PreventS-MD web app (PreventS-MD) (<xref ref-type="bibr" rid="ref11">11</xref>) and stroke riskometer (<xref ref-type="bibr" rid="ref12">12</xref>)], text messages to mobile health telemedicine (<xref ref-type="bibr" rid="ref12">12</xref>), computer and web-based technologies, including artificial intelligence, are adapted tools to support stroke knowledge, awareness, and management (<xref ref-type="bibr" rid="ref6">6</xref>). A systematic review and meta-analysis found that public stroke campaigns significantly influence the identification of stroke symptoms and the urgency for hospital transfer (<xref ref-type="bibr" rid="ref13">13</xref>). The study stressed the accessibility and affordability of the digital technologies used by lay individuals for primary stroke prevention and considered that evidence-based content improves physician&#x2013;patient communication and healthcare provision (<xref ref-type="bibr" rid="ref13">13</xref>). Educating young adults about stroke was found beneficial in spreading awareness among families, raising the alarms about harmful health behaviors, and adapting preventive measures to reduce the burden of stroke in adult life (<xref ref-type="bibr" rid="ref14">14</xref>). Numerous studies have demonstrated the effectiveness of educational campaigns and other digital tools in enhancing public knowledge of stroke to modify health behaviors and minimize delays in emergency transfer of a patient experiencing stroke (<xref ref-type="bibr" rid="ref15 ref16 ref17">15&#x2013;17</xref>). In this study, a 3-min educational video was built based on the American Stroke Association online awareness materials (<xref ref-type="bibr" rid="ref18">18</xref>), the BE-FAST algorithm (<xref ref-type="bibr" rid="ref19">19</xref>), and the Stroke Foundation New Zealand (<xref ref-type="bibr" rid="ref20">20</xref>). The BE-FAST algorithm allows the identification of persons experiencing an ischemic stroke episode (<xref ref-type="bibr" rid="ref18">18</xref>) to act fast and avoid delays in seeking emergency care. This study aims to test the impact of the budget-free short educational online video on public knowledge in Arab countries about stroke and factors influencing stroke knowledge scores.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Study design</title>
<p>A cross-sectional population-based interventional study was conducted from 1 July 2022 to September 2022. The research proposal was sent to international research groups in Arab countries to invite interested parties to join the study. Researchers from Egypt, Jordan, Lebanon, and the United Arab Emirates (UAE) agreed to join the project. Google Forms, a cloud-based survey powered by Google, was used to create the online survey, which included a 3-min educational video based on the BE-FAST algorithm (<xref ref-type="bibr" rid="ref19">19</xref>). Data were collected using the snowball sampling technique (<xref ref-type="bibr" rid="ref21">21</xref>) by asking university students to share the link to the online survey with their families and social networks using various social media platforms (WhatsApp, Facebook, Instagram, and LinkedIn).</p>
</sec>
<sec id="sec8">
<title>Participants</title>
<p>Eligible participants were adults 18&#x2009;years of age or older, with internet access, and residing in the participating countries. The first contact with participants was made through university students in their respective countries who were trained and informed about the content and aim of the survey. The total number of respondents from the four participating countries was 2,721, including 1,414 from Egypt, 215 from Jordan, 685 from Lebanon, and 407 from the UAE.</p>
</sec>
<sec id="sec9">
<title>Sample size calculation</title>
<p>The minimum sample size was calculated using the G-Power software, version 3.0.10. Taking into consideration that a stratified analysis per country applies, the minimum sample size calculation was determined as follows: the calculated effect size was 0.11 (small effect size), based on an expected squared multiple correlation of 0.1 (R2 deviation from 0) related to the omnibus test of multiple regression. The minimum sample required was n&#x2009;=&#x2009;205 from each country, considering an alpha error of 5%, a power of 80%, and allowing 20 predictors in the model.</p>
</sec>
<sec id="sec10">
<title>Questionnaire/educational video</title>
<p>The video was 3&#x2009;min in length, and the evidence-based content was presented in lay language with images reflective of the content. The online video was piloted among the researcher&#x2019;s network to test the acceptance and understanding of the content. Expert opinions of healthcare professionals provided insights about the relevance of the content. The purpose of the questionnaire/video was to educate participants about stroke, including its occurrence, risk factors, alarming signs, treatment, and prevention measures. Pretests and posttests included the same questions to evaluate baseline participant knowledge about the material in the video and evaluate acquired knowledge post-video. The online survey is translated from English to Arabic according to the WHO translational guidelines<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>. The translated version was then back-translated to English again. English versions were compared, with minor discrepancies corrected by consensus between the translators and the principal investigator in each country.</p>
<p>The questionnaire consisted of three main parts sequenced as follows: pretest, 3-min educational video, and posttest. It included closed-ended questions and encompassed the following four sections:</p>
<list list-type="order">
<list-item>
<p>Participants&#x2019; sociodemographic characteristics, health status, and lifestyle. A healthy lifestyle index was set as any individual with normal-range body mass index (BMI), exercising regularly (mild, moderate, or intense), non-smoker or currently non-smoker, not drinking alcohol, eating fruits and vegetables, and drinking enough fluids (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
</list-item>
<list-item>
<p>A pretest that assesses the respondent&#x2019;s baseline knowledge of stroke: (a) occurrence site, (b) risk factors (i.e., uncontrolled hypertension, diabetes, arrhythmias, dyslipidemia, transient ischemic attack, previous or family history of stroke, stress, obesity, smoking, alcohol consumption, aging, and poor diet), (c) alarming signs (i.e., sudden onset of weakness or numbness on one side of the body, sudden speech difficulty or confusion, sudden difficulty seeing in one or both eyes, and sudden severe headache with unknown cause), (d) preventive measures (i.e., keeping a healthy body weight, quit smoking and stop drinking alcohol, regular exercise, eating a healthy diet, reducing stress, and regular use of prescribed medications to treat underlying diabetes and cardiovascular diseases, including control of blood pressure), and (e) calling the ambulance. The pretest questions were based on the risks and warning signs established by the American Stroke Association (<xref ref-type="bibr" rid="ref18">18</xref>) and the National Institute of Neurological Disorders and Stroke (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
</list-item>
<list-item>
<p>A 3-min online educational video: &#x201C;Think and Act Fast to Save a Life&#x201D; (English Version: <ext-link xlink:href="https://youtu.be/uzN-Q5SUKmA;" ext-link-type="uri">https://youtu.be/uzN-Q5SUKmA;</ext-link> Arabic Version: <ext-link xlink:href="https://youtu.be/yEvvQlX37gs" ext-link-type="uri">https://youtu.be/yEvvQlX37gs</ext-link>).</p>
</list-item>
<list-item>
<p>A posttest, including the same set of questions as the pretest.</p>
</list-item>
</list>
</sec>
<sec id="sec11">
<title>Reliability and validity testing of the questionnaire</title>
<p>A factor analysis was conducted on responses from 250 participants to explore stroke knowledge. The Kaiser&#x2013;Meyer&#x2013;Olkin measure indicated excellent sampling adequacy (KMO&#x2009;=&#x2009;0.960), and Bartlett&#x2019;s test supported the factorability of the correlation matrix (&#x03C7;<sup>2</sup>&#x2009;=&#x2009;1502.45, df&#x2009;=&#x2009;300, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Principal component analysis with Promax rotation extracted four factors, explaining 56.74% of the variance. Factors included prevention measures, risk of stroke, warning signs and treatment, and general knowledge and type of stroke. Reliability analysis yielded Cronbach&#x2019;s alpha of 0.945. The scales used were of appropriate validity and reliability (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Factor analysis of the knowledge of stroke (Promax rotated component matrix).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Factor 1</th>
<th align="center" valign="top">Factor 2</th>
<th align="center" valign="top">Factor 3</th>
<th align="center" valign="top">Factor 4</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Exercise regularly</td>
<td align="center" valign="top">0.899</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Follow-up with your doctor</td>
<td align="center" valign="top">0.889</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Avoid stress</td>
<td align="center" valign="top">0.875</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Maintain a healthy weight</td>
<td align="center" valign="top">0.873</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Eat healthy food</td>
<td align="center" valign="top">0.863</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Take your medications on time</td>
<td align="center" valign="top">0.838</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when you have heart diseases</td>
<td/>
<td align="center" valign="top">0.881</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when having diabetes mellitus</td>
<td/>
<td align="center" valign="top">0.847</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when obesity</td>
<td/>
<td align="center" valign="top">0.810</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when you have irregular heart rhythm</td>
<td/>
<td align="center" valign="top">0.777</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when you smoke</td>
<td/>
<td align="center" valign="top">0.654</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when drinking alcohol</td>
<td/>
<td align="center" valign="top">0.580</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when you do not engage in regular exercise</td>
<td/>
<td align="center" valign="top">0.564</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when you have uncontrolled BP</td>
<td/>
<td align="center" valign="top">0.421</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases when you are stressed</td>
<td/>
<td align="center" valign="top">0.284</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases if you are a male</td>
<td/>
<td align="center" valign="top">0.288</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">The risk of stroke increases if you are 55&#x2009;years and older</td>
<td/>
<td align="center" valign="top">0.195</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Eye falling downward</td>
<td/>
<td/>
<td align="center" valign="top">0.827</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Not being able to answer questions</td>
<td/>
<td/>
<td align="center" valign="top">0.789</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Dizziness</td>
<td/>
<td/>
<td align="center" valign="top">0.741</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Severe headache</td>
<td/>
<td/>
<td align="center" valign="top">0.720</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Unable to speak properly</td>
<td/>
<td/>
<td align="center" valign="top">0.691</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Paralysis in the arm or leg or both</td>
<td/>
<td/>
<td align="center" valign="top">0.644</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">How stroke is treated by rehabilitation</td>
<td/>
<td/>
<td align="center" valign="top">0.503</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">How stroke is treated by medications</td>
<td/>
<td/>
<td align="center" valign="top">0.340</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Stroke is a serious condition that occurs in the brain</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.892</td>
</tr>
<tr>
<td align="left" valign="top">Stroke occurs when the arteries in the brain are partially or completely blocked</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.859</td>
</tr>
<tr>
<td align="left" valign="top">Stroke occurs when the brain arteries bleed</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.551</td>
</tr>
<tr>
<td align="left" valign="top">Call an ambulance straight away</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.292</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Factor 1: prevention measure; Factor 2: Risk of stroke; Factor 3: warning signs and treatment of stroke; Factor 4: general knowledge and type of stroke. Kaiser&#x2013;Meyer&#x2013;Olkin (KMO) 0.960, Bartlett&#x2019;s test of sphericity&#x2009;&#x003C;&#x2009;0.001, Percentage of variance explained 56.74%.Cronbach&#x2019;s alpha value: 0.945.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec12">
<title>Ethical approval</title>
<p>The Institutional Review Board at Abu Dhabi University approved this study under the code number CoHS &#x2013; 22-05-00018 on 16 May 2022. The study complies with the Declaration of Helsinki (<xref ref-type="bibr" rid="ref24">24</xref>). Before filling out the online survey, participants were informed about the study objectives and the freedom to withdraw at any time. They also were informed that their participation is anonymous and voluntary. All participants filled out informed consent included at the beginning of the survey forms to enable proceeding with the survey. Participants did not receive any financial reward in exchange for their participation.</p>
</sec>
<sec id="sec13">
<title>Statistical analysis</title>
<p>Data were analyzed using SPSS software version 25. The descriptive analysis used absolute frequencies and percentages for categorical variables and means and standard deviations (SD) for quantitative measures. As the skewness and kurtosis values of the dependent variables (knowledge total score) were under the acceptable range&#x2009;&#x2212;&#x2009;2 and&#x2009;+&#x2009;2, so the data were considered normally distributed.</p>
<p>The paired sample <italic>t</italic>-test compared the stroke knowledge score before and after the education session. A repeated measures ANOVA evaluated the mean change of the stroke total knowledge before and after the educational video tool adjusted for covariates (age, gender, marital status, smoking, alcohol, education level, healthy lifestyle, having a stroke, family history of stroke, and having any medical illness). A bivariate analysis was conducted, taking the knowledge total score (pre, post, and the difference) as the dependent variables. Student&#x2019;s <italic>T</italic>-test and ANOVA test were used in the bivariate analysis to compare two or more than three means. Cohen&#x2019;s d effect size was calculated using the Psychometrica tool<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref>. According to the effect size classification, a small effect was found for d&#x2009;=&#x2009;0.2, medium d&#x2009;=&#x2009;0.5, and large d&#x2009;&#x2265;&#x2009;0.8. The <italic>post-hoc</italic> power was calculated using the G Power software. A <italic>p-value</italic>&#x2009;&#x003C;&#x2009;0.05 was considered significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<sec id="sec15">
<title>Demographic characteristics</title>
<p>A total of 2,721 participants were enrolled in the study from four Arab countries (Lebanon, UAE, Jordan, and Egypt). In Egypt and the UAE, sex-disaggregated responses are more balanced (approximately 50% women) than in Jordan and Lebanon, where the majority of respondents were women (&#x2265;63%). Nearly half or more of the participants were young, aged between 25 and 34&#x2009;years, and almost all were highly educated (&#x2265;88%) but predominantly not healthcare providers (&#x003E;66%) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Demographic characteristics of the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="top" colspan="5"><italic>N</italic>&#x2009;=&#x2009;2,721</th>
</tr>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Lebanon<break/>(<italic>N</italic>&#x2009;=&#x2009;685)</th>
<th align="center" valign="top">UAE<break/>(<italic>N</italic>&#x2009;=&#x2009;407)</th>
<th align="center" valign="top">Jordan<break/>(<italic>N</italic>&#x2009;=&#x2009;215)</th>
<th align="center" valign="top">Egypt<break/>(<italic>N</italic>&#x2009;=&#x2009;1,414)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><bold>Gender</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">248 (36.2%)</td>
<td align="center" valign="top">189 (46.4%)</td>
<td align="center" valign="top">79 (36.7%)</td>
<td align="center" valign="top">653 (46.2%)</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">437 (63.8%)</td>
<td align="center" valign="top">218 (53.6%)</td>
<td align="center" valign="top">136 (63.3%)</td>
<td align="center" valign="top">761 (53.8%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Age in years</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;34</td>
<td align="center" valign="top">285 (41.6%)</td>
<td align="center" valign="top">207 (50.9%)</td>
<td align="center" valign="top">123 (57.2%)</td>
<td align="center" valign="top">929 (65.7%)</td>
</tr>
<tr>
<td align="left" valign="top">35&#x2013;44</td>
<td align="center" valign="top">127 (18.5%)</td>
<td align="center" valign="top">110 (27.0%)</td>
<td align="center" valign="top">21 (9.8%)</td>
<td align="center" valign="top">246 (17.4%)</td>
</tr>
<tr>
<td align="left" valign="top">45&#x2013;54</td>
<td align="center" valign="top">155 (22.6%)</td>
<td align="center" valign="top">65 (16.0%)</td>
<td align="center" valign="top">40 (18.6%)</td>
<td align="center" valign="top">184 (13.0%)</td>
</tr>
<tr>
<td align="left" valign="top">55 and above</td>
<td align="center" valign="top">118 (17.2%)</td>
<td align="center" valign="top">25 (6.1%)</td>
<td align="center" valign="top">31 (14.4%)</td>
<td align="center" valign="top">55 (3.9%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Marital status</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Single/widowed/divorced</td>
<td align="center" valign="top">325 (47.4%)</td>
<td align="center" valign="top">180 (44.2%)</td>
<td align="center" valign="top">131 (60.9%)</td>
<td align="center" valign="top">857 (60.6%)</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">360 (52.6%)</td>
<td align="center" valign="top">227 (55.8%)</td>
<td align="center" valign="top">84 (39.1%)</td>
<td align="center" valign="top">557 (39.4%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Education level</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Primary</td>
<td align="center" valign="top">30 (4.4%)</td>
<td align="center" valign="top">11 (2.7%)</td>
<td align="center" valign="top">7 (3.3%)</td>
<td align="center" valign="top">24 (1.7%)</td>
</tr>
<tr>
<td align="left" valign="top">Secondary</td>
<td align="center" valign="top">50 (7.3%)</td>
<td align="center" valign="top">38 (9.3%)</td>
<td align="center" valign="top">17 (7.9%)</td>
<td align="center" valign="top">28 (2.0%)</td>
</tr>
<tr>
<td align="left" valign="top">University</td>
<td align="center" valign="top">605 (88.3%)</td>
<td align="center" valign="top">358 (88%)</td>
<td align="center" valign="top">191 (88.8%)</td>
<td align="center" valign="top">1,362 (96.3%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2"><bold>Being a healthcare professional</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">135 (19.7%)</td>
<td align="center" valign="top">104 (25.6%)</td>
<td align="center" valign="top">72 (33.5%)</td>
<td align="center" valign="top">436 (30.8%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">550 (80.3%)</td>
<td align="center" valign="top">303 (74.4%)</td>
<td align="center" valign="top">143 (66.5%)</td>
<td align="center" valign="top">978 (69.2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>UAE, United Arab Emirates.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Risks of stroke among participants</title>
<p>The majority of respondents were not at risk of developing stroke. They did not have a family history of stroke (&#x003E;64%) or a previous stroke history (&#x003E;96%). The majority of the participants were non-smokers and did not consume alcohol except 46.3% in Lebanon versus more than 84.8% in other countries. Nearly half of the people surveyed engage in mild physical activity and are either overweight or obese. Participants most frequently reported experiencing severe headaches, elevated cholesterol, and a family history of myocardial infarction (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Stroke risk factors among participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Lebanon<break/>(<italic>N</italic>&#x2009;=&#x2009;685)</th>
<th align="center" valign="top">UAE<break/>(<italic>N</italic>&#x2009;=&#x2009;407)</th>
<th align="center" valign="top">Jordan<break/>(<italic>N</italic>&#x2009;=&#x2009;215)</th>
<th align="center" valign="top">Egypt<break/>(<italic>N</italic>&#x2009;=&#x2009;1,414)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5"><bold>Family history of stroke</bold></td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">244 (35.6%)</td>
<td align="center" valign="top">126 (31.0%)</td>
<td align="center" valign="top">68 (31.6%)</td>
<td align="center" valign="top">284 (20.1%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">441 (64.4%)</td>
<td align="center" valign="top">281 (69.0%)</td>
<td align="center" valign="top">147 (68.4%)</td>
<td align="center" valign="top">1,130 (79.9%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Previous stroke</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">14 (2.0%)</td>
<td align="center" valign="top">13 (3.2%)</td>
<td align="center" valign="top">6 (2.8%)</td>
<td align="center" valign="top">57 (4.0%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">671 (98.0%)</td>
<td align="center" valign="top">394 (96.8%)</td>
<td align="center" valign="top">209 (97.2%)</td>
<td align="center" valign="top">1,357 (96.0%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Smoking</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Never smoke</td>
<td align="center" valign="top">401 (58.5%)</td>
<td align="center" valign="top">276 (67.8%)</td>
<td align="center" valign="top">151 (70.2%)</td>
<td align="center" valign="top">1,245 (88.0%)</td>
</tr>
<tr>
<td align="left" valign="top">Current smoker</td>
<td align="center" valign="top">234 (34.2%)</td>
<td align="center" valign="top">104 (25.6%)</td>
<td align="center" valign="top">49 (22.8%)</td>
<td align="center" valign="top">115 (8.1%)</td>
</tr>
<tr>
<td align="left" valign="top">Former smoker</td>
<td align="center" valign="top">50 (7.3%)</td>
<td align="center" valign="top">27 (6.6%)</td>
<td align="center" valign="top">15 (7.0%)</td>
<td align="center" valign="top">54 (3.8%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Alcohol</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Do not drink</td>
<td align="center" valign="top">317 (46.3%)</td>
<td align="center" valign="top">345(84.8%)</td>
<td align="center" valign="top">212 (98.6%)</td>
<td align="center" valign="top">1,348 (95.3%)</td>
</tr>
<tr>
<td align="left" valign="top">Occasionally</td>
<td align="center" valign="top">261 (38.1%)</td>
<td align="center" valign="top">55 (13.5%)</td>
<td align="center" valign="top">2 (0.9%)</td>
<td align="center" valign="top">26 (1.8%)</td>
</tr>
<tr>
<td align="left" valign="top">On weekends</td>
<td align="center" valign="top">83 (12.1%)</td>
<td align="center" valign="top">7 (1.7%)</td>
<td align="center" valign="top">1 (0.5%)</td>
<td align="center" valign="top">15 (1.1%)</td>
</tr>
<tr>
<td align="left" valign="top">Daily</td>
<td align="center" valign="top">24 (3.5%)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">25 (1.8%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Physical activity</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Not applicable</td>
<td align="center" valign="top">24 (3.5%)</td>
<td align="center" valign="top">24 (5.9%)</td>
<td align="center" valign="top">3 (1.4%)</td>
<td align="center" valign="top">76 (5.4%)</td>
</tr>
<tr>
<td align="left" valign="top">Mild</td>
<td align="center" valign="top">359 (52.4%)</td>
<td align="center" valign="top">215 (52.8%)</td>
<td align="center" valign="top">138 (64.2%)</td>
<td align="center" valign="top">774 (54.7%)</td>
</tr>
<tr>
<td align="left" valign="top">Moderate</td>
<td align="center" valign="top">229 (33.4%)</td>
<td align="center" valign="top">124 (30.5%)</td>
<td align="center" valign="top">63 (29.3%)</td>
<td align="center" valign="top">460 (32.5%)</td>
</tr>
<tr>
<td align="left" valign="top">Vigorous</td>
<td align="center" valign="top">73 (10.7%)</td>
<td align="center" valign="top">44 (10.8%)</td>
<td align="center" valign="top">11 (5.1%)</td>
<td align="center" valign="top">104 (7.4%)</td>
</tr>
<tr>
<td align="left" valign="top"><bold>BMI</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Underweight</td>
<td align="center" valign="top">24 (3.5%)</td>
<td align="center" valign="top">14 (3.4%)</td>
<td align="center" valign="top">12 (5.6%)</td>
<td align="center" valign="top">34 (2.4%)</td>
</tr>
<tr>
<td align="left" valign="top">Healthy weight</td>
<td align="center" valign="top">334 (48.8%)</td>
<td align="center" valign="top">179 (44.0%)</td>
<td align="center" valign="top">101 (47.0%)</td>
<td align="center" valign="top">587 (41.6%)</td>
</tr>
<tr>
<td align="left" valign="top">Overweight</td>
<td align="center" valign="top">225 (32.8%)</td>
<td align="center" valign="top">134 (32.9%)</td>
<td align="center" valign="top">67 (31.2%)</td>
<td align="center" valign="top">505 (35.8%)</td>
</tr>
<tr>
<td align="left" valign="top">Obese</td>
<td align="center" valign="top">102 (14.9%)</td>
<td align="center" valign="top">80 (19.7%)</td>
<td align="center" valign="top">35 (16.3%)</td>
<td align="center" valign="top">286 (20.3%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Having any of the following health conditions</bold></td>
</tr>
<tr>
<td align="left" valign="top">High blood pressure</td>
<td align="center" valign="top">110 (16.1%)</td>
<td align="center" valign="top">70 (17.2%)</td>
<td align="center" valign="top">36 (16.8%)</td>
<td align="center" valign="top">273 (19.4%)</td>
</tr>
<tr>
<td align="left" valign="top">History of MI</td>
<td align="center" valign="top">35 (5.1%)</td>
<td align="center" valign="top">17 (4.2%)</td>
<td align="center" valign="top">5 (2.3%)</td>
<td align="center" valign="top">69 (4.9%)</td>
</tr>
<tr>
<td align="left" valign="top">Family history of MI</td>
<td align="center" valign="top">184 (26.9%)</td>
<td align="center" valign="top">50 (12.3%)</td>
<td align="center" valign="top">36 (16.9%)</td>
<td align="center" valign="top">198 (14.1%)</td>
</tr>
<tr>
<td align="left" valign="top">History of CAD</td>
<td align="center" valign="top">65 (9.5%)</td>
<td align="center" valign="top">27 (6.6%)</td>
<td align="center" valign="top">10 (4.7%)</td>
<td align="center" valign="top">99 (7.0%)</td>
</tr>
<tr>
<td align="left" valign="top">High cholesterol level</td>
<td align="center" valign="top">130 (19.0%)</td>
<td align="center" valign="top">71 (17.5%)</td>
<td align="center" valign="top">36 (16.7%)</td>
<td align="center" valign="top">233 (16.6%)</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes type 2</td>
<td align="center" valign="top">68 (9.9%)</td>
<td align="center" valign="top">56 (13.8%)</td>
<td align="center" valign="top">19 (8.8%)</td>
<td align="center" valign="top">155 (11.0%)</td>
</tr>
<tr>
<td align="left" valign="top">History of DVT</td>
<td align="center" valign="top">30 (4.4%)</td>
<td align="center" valign="top">14 (3.4%)</td>
<td align="center" valign="top">11 (5.1%)</td>
<td align="center" valign="top">81 (5.7%)</td>
</tr>
<tr>
<td align="left" valign="top">History of PE</td>
<td align="center" valign="top">19 (2.8%)</td>
<td align="center" valign="top">13 (3.2%)</td>
<td align="center" valign="top">8 (3.7%)</td>
<td align="center" valign="top">70 (5.0%)</td>
</tr>
<tr>
<td align="left" valign="top">Severe headache (migraine)</td>
<td align="center" valign="top">132 (19.3%)</td>
<td align="center" valign="top">90 (22.3%)</td>
<td align="center" valign="top">33 (15.3%)</td>
<td align="center" valign="top">407 (29.2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CAD, coronary artery disease; DVT, deep vein thrombosis; Former smoker (i.e., quit more than 6&#x2009;months ago); MI, myocardial infarction; PE, pulmonary embolism; UAE, United Arab Emirates; BMI, Body Mass Index.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<title>Comparison of stroke knowledge pretest and posttest</title>
<p>A significant increase was found post-education in the total knowledge score and among all knowledge items (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), including stroke site of occurrence, types, risks, warning signs, prevention measures, treatment, and acting fast to save life (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Variation of the stroke knowledge pre- and post-education session.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="top">Pre</th>
<th align="center" valign="top">Post</th>
<th align="center" valign="top" rowspan="2">Effect size d<sub>Cohen</sub></th>
<th align="center" valign="top" rowspan="2">95% CI of effect size</th>
<th align="center" valign="top" rowspan="2"><italic>Post hoc</italic> power</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</th>
<th align="center" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Knowledge total score</td>
<td align="center" valign="top">21.11&#x2009;&#x00B1;&#x2009;7.78</td>
<td align="center" valign="top">23.70&#x2009;&#x00B1;&#x2009;7.51</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">0.26; 0.41</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Stroke is a serious condition that occurs in the brain</td>
<td align="center" valign="top">0.83&#x2009;&#x00B1;&#x2009;0.37</td>
<td align="center" valign="top">0.85&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">&#x2212;0.02; 0.13</td>
<td align="center" valign="top">0.87</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom"><bold>Types of strokes</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Stroke occurs when the arteries in the brain are partially or completely blocked</td>
<td align="center" valign="top">0.74&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.82&#x2009;&#x00B1;&#x2009;0.38</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">0.12; 0.27</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Stroke occurs when the brain arteries bleed</td>
<td align="center" valign="top">0.50&#x2009;&#x00B1;&#x2009;0.50</td>
<td align="center" valign="top">0.68&#x2009;&#x00B1;&#x2009;0.46</td>
<td align="center" valign="top">0.37</td>
<td align="center" valign="top">0.30; 0.45</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom"><bold>Risk of stroke</bold></td>
<td align="center" valign="top">7.40&#x2009;&#x00B1;&#x2009;3.50</td>
<td align="center" valign="top">8.65&#x2009;&#x00B1;&#x2009;3.22</td>
<td align="center" valign="top">0.37</td>
<td align="center" valign="top">0.30; 0.45</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when you have uncontrolled BP</td>
<td align="center" valign="top">0.77&#x2009;&#x00B1;&#x2009;0.41</td>
<td align="center" valign="top">0.86&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">0.16; 0.31</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when you have irregular heart rhythm</td>
<td align="center" valign="top">0.59&#x2009;&#x00B1;&#x2009;0.49</td>
<td align="center" valign="top">0.74&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">0.25; 0.40</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when obesity</td>
<td align="center" valign="top">0.62&#x2009;&#x00B1;&#x2009;0.48</td>
<td align="center" valign="top">0.75&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">0.21; 0.36</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when having diabetes mellitus</td>
<td align="center" valign="top">0.54&#x2009;&#x00B1;&#x2009;0.49</td>
<td align="center" valign="top">0.70&#x2009;&#x00B1;&#x2009;0.45</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">0.26; 0.42</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when you have heart diseases</td>
<td align="center" valign="top">0.64&#x2009;&#x00B1;&#x2009;0.47</td>
<td align="center" valign="top">0.74&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.22</td>
<td align="center" valign="top">0.15; 0.30</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when you smoke</td>
<td align="center" valign="top">0.78&#x2009;&#x00B1;&#x2009;0.41</td>
<td align="center" valign="top">0.86&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">0.14; 0.28</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when drinking alcohol</td>
<td align="center" valign="top">0.74&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.83&#x2009;&#x00B1;&#x2009;0.36</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">0.15; 0.30</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when you do not engage in regular exercise</td>
<td align="center" valign="top">0.72&#x2009;&#x00B1;&#x2009;0.44</td>
<td align="center" valign="top">0.84&#x2009;&#x00B1;&#x2009;0.36</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">0.22; 0.37</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases when you are stressed</td>
<td align="center" valign="top">0.81&#x2009;&#x00B1;&#x2009;0.38</td>
<td align="center" valign="top">0.86&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">0.06; 0.21</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases if you are a male</td>
<td align="center" valign="top">0.44&#x2009;&#x00B1;&#x2009;0.49</td>
<td align="center" valign="top">0.64&#x2009;&#x00B1;&#x2009;0.47</td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top">0.34; 0.49</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">The risk of stroke increases if you are 55&#x2009;years and older</td>
<td align="center" valign="top">0.71&#x2009;&#x00B1;&#x2009;0.45</td>
<td align="center" valign="top">0.79&#x2009;&#x00B1;&#x2009;0.40</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">0.11; 0.26</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom"><bold>Warning signs</bold></td>
<td align="center" valign="top">4.19&#x2009;&#x00B1;&#x2009;2.10</td>
<td align="center" valign="top">4.84&#x2009;&#x00B1;&#x2009;1.89</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">0.25; 0.40</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Unable to speak properly</td>
<td align="center" valign="top">0.78&#x2009;&#x00B1;&#x2009;0.41</td>
<td align="center" valign="top">0.86&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">0.14; 0.28</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Eye falling downward</td>
<td align="center" valign="top">0.62&#x2009;&#x00B1;&#x2009;0.48</td>
<td align="center" valign="top">0.75&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">0.21; 0.36</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Paralysis in the arm or leg or both</td>
<td align="center" valign="top">0.72&#x2009;&#x00B1;&#x2009;0.44</td>
<td align="center" valign="top">0.80&#x2009;&#x00B1;&#x2009;0.39</td>
<td align="center" valign="top">0.19</td>
<td align="center" valign="top">0.12; 0.27</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Dizziness</td>
<td align="center" valign="top">0.66&#x2009;&#x00B1;&#x2009;0.47</td>
<td align="center" valign="top">0.79&#x2009;&#x00B1;&#x2009;0.40</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">0.22; 0.37</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Severe headache</td>
<td align="center" valign="top">0.69&#x2009;&#x00B1;&#x2009;0.45</td>
<td align="center" valign="top">0.81&#x2009;&#x00B1;&#x2009;0.38</td>
<td align="center" valign="top">0.29</td>
<td align="center" valign="top">0.21; 0.36</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Not being able to answer questions</td>
<td align="center" valign="top">0.71&#x2009;&#x00B1;&#x2009;0.45</td>
<td align="center" valign="top">0.81&#x2009;&#x00B1;&#x2009;0.38</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">0.16; 0.32</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom"><bold>Prevention measures</bold></td>
<td align="center" valign="top">5.27&#x2009;&#x00B1;&#x2009;1.68</td>
<td align="center" valign="top">5.39&#x2009;&#x00B1;&#x2009;1.60</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">&#x2212;0.002; 0.15</td>
<td align="center" valign="top">0.95</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Eat healthy food</td>
<td align="center" valign="top">0.89&#x2009;&#x00B1;&#x2009;0.30</td>
<td align="center" valign="top">0.91&#x2009;&#x00B1;&#x2009;0.28</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">&#x2212;0.006; 0.14</td>
<td align="center" valign="top">0.95</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Exercise regularly</td>
<td align="center" valign="top">0.87&#x2009;&#x00B1;&#x2009;0.33</td>
<td align="center" valign="top">0.89&#x2009;&#x00B1;&#x2009;0.30</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">&#x2212;0.01; 0.14</td>
<td align="center" valign="top">0.87</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Avoid stress</td>
<td align="center" valign="top">0.88&#x2009;&#x00B1;&#x2009;0.32</td>
<td align="center" valign="top">0.90&#x2009;&#x00B1;&#x2009;0.30</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">&#x2212;0.01;0.14</td>
<td align="center" valign="top">0.87</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="bottom">Maintain a healthy weight</td>
<td align="center" valign="top">0.85&#x2009;&#x00B1;&#x2009;0.35</td>
<td align="center" valign="top">0.88&#x2009;&#x00B1;&#x2009;0.31</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">0.02; 0.16</td>
<td align="center" valign="top">0.99</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Take your medications on time</td>
<td align="center" valign="top">0.88&#x2009;&#x00B1;&#x2009;0.32</td>
<td align="center" valign="top">0.89&#x2009;&#x00B1;&#x2009;0.30</td>
<td align="center" valign="top">0.03</td>
<td align="center" valign="top">&#x2212;0.04; 0.10</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Follow-up with your doctor</td>
<td align="center" valign="top">0.88&#x2009;&#x00B1;&#x2009;0.31</td>
<td align="center" valign="top">0.90&#x2009;&#x00B1;&#x2009;0.29</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">&#x2212;0.01; 0.14</td>
<td align="center" valign="top">0.95</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="bottom"><bold>Treatment of stroke</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">How stroke is treated by medications</td>
<td align="center" valign="top">0.74&#x2009;&#x00B1;&#x2009;0.43</td>
<td align="center" valign="top">0.85&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">0.21; 0.36</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">How stroke is treated by rehabilitation</td>
<td align="center" valign="top">0.58&#x2009;&#x00B1;&#x2009;0.49</td>
<td align="center" valign="top">0.72&#x2009;&#x00B1;&#x2009;0.44</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">0.22; 0.38</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="7"><bold>Acting fast in the case of stroke</bold></td>
</tr>
<tr>
<td align="left" valign="bottom">Call an ambulance straight away</td>
<td align="center" valign="top">0.82&#x2009;&#x00B1;&#x2009;0.37</td>
<td align="center" valign="top">0.85&#x2009;&#x00B1;&#x2009;0.36</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">0.01; 0.16</td>
<td align="center" valign="top">0.98</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
<p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the means of the knowledge total score before and after the educational session, after adjustment over age, gender, marital status, smoking, alcohol, education level, healthy lifestyle, having a stroke, a family history of stroke, and any medical illness. A significantly higher increase in the total knowledge score was found post-education in all countries (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Differences in total knowledge pre-education and post-education scores among participating countries.</p>
</caption>
<graphic xlink:href="fpubh-12-1342490-g001.tif"/>
</fig>
</sec>
<sec id="sec18">
<title>Bivariate analysis</title>
<p>The highest baseline mean knowledge score about stroke was found in Jordan (24.84&#x2009;&#x00B1;&#x2009;4.55), followed by Lebanon (<italic>M</italic>&#x2009;=&#x2009;22.26; SD&#x2009;=&#x2009;6.22). The difference between the pre- and posttest was significant in all countries (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Although women had a higher baseline score (<italic>M</italic>&#x2009;=&#x2009;21.67; SD&#x2009;=&#x2009;7.15), the differences between pre and posttest were not significant for either gender (<italic>p</italic>&#x2009;=&#x2009;0.353). The youngest participants (25&#x2013;34&#x2009;years) had a significantly lower mean knowledge score at baseline (<italic>M</italic>&#x2009;=&#x2009;20.74; SD&#x2009;=&#x2009;8.18) than participants 55&#x2009;years and older (22.46&#x2009;&#x00B1;&#x2009;6.00). There was no significant difference in the mean knowledge score between participants with and without a university degree, although highly educated participants had a higher baseline score (<italic>p</italic>&#x2009;=&#x2009;0.425). Results showed that individuals who consumed alcohol had higher mean score differences (<italic>M</italic>&#x2009;=&#x2009;3.12; SD&#x2009;=&#x2009;5.21), while those with a low healthy lifestyle index had significantly higher knowledge scores (<italic>M</italic>&#x2009;=&#x2009;2.68; SD&#x2009;=&#x2009;5.40) (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Factors affecting the knowledge score.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variable</th>
<th align="center" valign="top" colspan="12">Knowledge score</th>
</tr>
<tr>
<th align="center" valign="top">Pretest</th>
<th align="center" valign="top"><italic>p-value</italic></th>
<th align="center" valign="top">Effect Size d<sub>Cohen</sub> (95% CI)</th>
<th align="center" valign="top"><italic>Post hoc</italic> power</th>
<th align="center" valign="top">Posttest</th>
<th align="center" valign="top"><italic>p-value</italic></th>
<th align="center" valign="top">Effect size d<sub>Cohen</sub> (95% CI)</th>
<th align="center" valign="top"><italic>Post hoc</italic> power</th>
<th align="center" valign="top">Difference Post-pre test</th>
<th align="center" valign="top"><italic>P value</italic></th>
<th align="center" valign="top">Effect Size d<sub>Cohen</sub> (95% CI)</th>
<th align="center" valign="top"><italic>Post hoc</italic> power</th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th/>
<th align="center" valign="middle">Mean (SD)</th>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="13">Country</td>
</tr>
<tr>
<td align="left" valign="middle">Lebanon</td>
<td align="center" valign="top">22.26&#x2009;&#x00B1;&#x2009;6.22</td>
<td align="center" valign="middle" rowspan="4">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="4">0.57<break/>(0.45; 0.74)</td>
<td align="center" valign="top" rowspan="4">1.00</td>
<td align="center" valign="top">26.06&#x2009;&#x00B1;&#x2009;4.95</td>
<td align="center" valign="middle" rowspan="4">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="4">0.46<break/>(0.43; 0.61)</td>
<td align="center" valign="top" rowspan="4">1.00</td>
<td align="center" valign="top">3.80&#x2009;&#x00B1;&#x2009;4.92</td>
<td align="center" valign="middle" rowspan="4">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="4">0.68<break/>(0.39; 0.70)</td>
<td align="center" valign="top" rowspan="4">1.00</td>
</tr>
<tr>
<td align="left" valign="middle">UAE</td>
<td align="center" valign="top">20.80&#x2009;&#x00B1;&#x2009;8.58</td>
<td align="center" valign="top">23.53&#x2009;&#x00B1;&#x2009;8.16</td>
<td align="center" valign="top">2.72&#x2009;&#x00B1;&#x2009;5.60</td>
</tr>
<tr>
<td align="left" valign="middle">Jordan</td>
<td align="center" valign="top">24.84&#x2009;&#x00B1;&#x2009;4.55</td>
<td align="center" valign="top">26.07&#x2009;&#x00B1;&#x2009;5.13</td>
<td align="center" valign="top">1.23&#x2009;&#x00B1;&#x2009;3.77</td>
</tr>
<tr>
<td align="left" valign="middle">Egypt</td>
<td align="center" valign="top">20.08&#x2009;&#x00B1;&#x2009;8.34</td>
<td align="center" valign="top">22.25&#x2009;&#x00B1;&#x2009;8.24</td>
<td align="center" valign="top">2.16&#x2009;&#x00B1;&#x2009;5.54</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Gender</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">20.37&#x2009;&#x00B1;&#x2009;8.48</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.17<break/>(0.09; 0.24)</td>
<td align="center" valign="top" rowspan="2">0.99</td>
<td align="center" valign="middle">22.85&#x2009;&#x00B1;&#x2009;8.45</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.20<break/>(0.12; 0.27)</td>
<td align="center" valign="top" rowspan="2">0.99</td>
<td align="center" valign="top">2.47&#x2009;&#x00B1;&#x2009;5.60</td>
<td align="center" valign="middle" rowspan="2">0.353</td>
<td align="center" valign="top" rowspan="2">0.04<break/>(&#x2212;0.04; 0.11)</td>
<td align="center" valign="top" rowspan="2">0.18</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">21.67&#x2009;&#x00B1;&#x2009;7.15</td>
<td align="center" valign="middle">24.34&#x2009;&#x00B1;&#x2009;6.65</td>
<td align="center" valign="top">2.67&#x2009;&#x00B1;&#x2009;5.13</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Age (years)</td>
</tr>
<tr>
<td align="left" valign="middle">25&#x2013;34</td>
<td align="center" valign="top">20.74&#x2009;&#x00B1;&#x2009;8.18</td>
<td align="center" valign="middle" rowspan="4">0.006</td>
<td align="center" valign="top" rowspan="4">0.21<break/>(0.08; 0.36)</td>
<td align="center" valign="top" rowspan="4">1.00</td>
<td align="center" valign="top">22.98&#x2009;&#x00B1;&#x2009;8.18</td>
<td align="center" valign="middle" rowspan="4">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="4">0.33<break/>(0.21; 0.48)</td>
<td align="center" valign="top" rowspan="4">1.00</td>
<td align="center" valign="top">2.24&#x2009;&#x00B1;&#x2009;5.33</td>
<td align="center" valign="middle" rowspan="4">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="4">0.19<break/>(0.05; 0.33)</td>
<td align="center" valign="top" rowspan="4">1.00</td>
</tr>
<tr>
<td align="left" valign="middle">35&#x2013;44</td>
<td align="center" valign="top">21.18&#x2009;&#x00B1;&#x2009;7.75</td>
<td align="center" valign="top">23.90&#x2009;&#x00B1;&#x2009;7.21</td>
<td align="center" valign="top">2.71&#x2009;&#x00B1;&#x2009;5.61</td>
</tr>
<tr>
<td align="left" valign="middle">45&#x2013;54</td>
<td align="center" valign="top">21.63&#x2009;&#x00B1;&#x2009;7.04</td>
<td align="center" valign="top">24.94&#x2009;&#x00B1;&#x2009;5.98</td>
<td align="center" valign="top">3.30&#x2009;&#x00B1;&#x2009;4.98</td>
</tr>
<tr>
<td align="left" valign="middle">55 and above</td>
<td align="center" valign="top">22.46&#x2009;&#x00B1;&#x2009;6.00</td>
<td align="center" valign="top">25.69&#x2009;&#x00B1;&#x2009;5.11</td>
<td align="center" valign="top">3.23&#x2009;&#x00B1;&#x2009;5.22</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Marital status</td>
</tr>
<tr>
<td align="left" valign="middle">Single/widowed/divorced</td>
<td align="center" valign="middle">20.88&#x2009;&#x00B1;&#x2009;8.03</td>
<td align="center" valign="middle" rowspan="2">0.083</td>
<td align="center" valign="top" rowspan="2">0.07<break/>(&#x2212;0.01; 0.14)</td>
<td align="center" valign="top" rowspan="2">0.44</td>
<td align="center" valign="middle">23.21&#x2009;&#x00B1;&#x2009;8.02</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.14<break/>(0.07; 0.22)</td>
<td align="center" valign="top" rowspan="2">0.95</td>
<td align="center" valign="top">2.33&#x2009;&#x00B1;&#x2009;5.42</td>
<td align="center" valign="middle" rowspan="2">0.006</td>
<td align="center" valign="top" rowspan="2">0.10<break/>(0.03; 0.18)</td>
<td align="center" valign="top" rowspan="2">0.73</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="center" valign="middle">21.40&#x2009;&#x00B1;&#x2009;7.44</td>
<td align="center" valign="middle">24.29&#x2009;&#x00B1;&#x2009;6.80</td>
<td align="center" valign="top">2.89&#x2009;&#x00B1;&#x2009;5.21</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">University degree</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">19.58&#x2009;&#x00B1;&#x2009;8.67</td>
<td align="center" valign="middle" rowspan="2">0.008</td>
<td align="center" valign="top" rowspan="2">0.21<break/>(0.07; 0.35)</td>
<td align="center" valign="top" rowspan="2">0.82</td>
<td align="center" valign="middle">22.45&#x2009;&#x00B1;&#x2009;9.12</td>
<td align="center" valign="middle" rowspan="2">0.040</td>
<td align="center" valign="top" rowspan="2">0.18<break/>(0.04; 0.32)</td>
<td align="center" valign="top" rowspan="2">0.69</td>
<td align="center" valign="top">2.87&#x2009;&#x00B1;&#x2009;5.02</td>
<td align="center" valign="middle" rowspan="2">0.425</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.06<break/>(&#x2212;0.20; 0.08)</td>
<td align="center" valign="top" rowspan="2">0.13</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">21.24&#x2009;&#x00B1;&#x2009;7.69</td>
<td align="center" valign="middle">23.80&#x2009;&#x00B1;&#x2009;7.36</td>
<td align="center" valign="top">2.56&#x2009;&#x00B1;&#x2009;5.36</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Being a healthcare professional</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">20.46&#x2009;&#x00B1;&#x2009;7.78</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.31<break/>(0.22; 0.39)</td>
<td align="center" valign="top" rowspan="2">0.99</td>
<td align="center" valign="middle">23.53&#x2009;&#x00B1;&#x2009;7.52</td>
<td align="center" valign="middle" rowspan="2">0.054</td>
<td align="center" valign="top" rowspan="2">0.08<break/>(&#x2212;0.002; 0.17)</td>
<td align="center" valign="top" rowspan="2">0.46</td>
<td align="center" valign="top">3.06&#x2009;&#x00B1;&#x2009;5.59</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.33<break/>(&#x2212;0.42; &#x2212;0.25)</td>
<td align="center" valign="top" rowspan="2">1.00</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">22.83&#x2009;&#x00B1;&#x2009;7.50</td>
<td align="center" valign="middle">24.15&#x2009;&#x00B1;&#x2009;7.47</td>
<td align="center" valign="top">1.31&#x2009;&#x00B1;&#x2009;4.35</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Previous stroke</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">21.18&#x2009;&#x00B1;&#x2009;7.71</td>
<td align="center" valign="middle" rowspan="2">0.054</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.25<break/>(&#x2212;0.46; &#x2212;0.04)</td>
<td align="center" valign="top" rowspan="2">0.64</td>
<td align="center" valign="middle">23.82&#x2009;&#x00B1;&#x2009;7.40</td>
<td align="center" valign="middle" rowspan="2">0.001</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.47<break/>(&#x2212;0.68; &#x2212;0.26)</td>
<td align="center" valign="top" rowspan="2">0.99</td>
<td align="center" valign="top">2.63&#x2009;&#x00B1;&#x2009;5.35</td>
<td align="center" valign="middle" rowspan="2">0.006</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.29<break/>(&#x2212;0.50; &#x2212;0.08)</td>
<td align="center" valign="top" rowspan="2">0.77</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">19.24&#x2009;&#x00B1;&#x2009;9.31</td>
<td align="center" valign="middle">20.31&#x2009;&#x00B1;&#x2009;9.66</td>
<td align="center" valign="top">1.06&#x2009;&#x00B1;&#x2009;4.70</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Family history of stroke</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">20.55&#x2009;&#x00B1;&#x2009;8.04</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.28<break/>(0.19; 0.36)</td>
<td align="center" valign="top" rowspan="2">0.99</td>
<td align="center" valign="middle">23.31&#x2009;&#x00B1;&#x2009;7.82</td>
<td align="center" valign="middle" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.20<break/>(0.11; 0.28)</td>
<td align="center" valign="top" rowspan="2">0.99</td>
<td align="center" valign="top">2.75&#x2009;&#x00B1;&#x2009;5.55</td>
<td align="center" valign="middle" rowspan="2">0.003</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.12<break/>(&#x2212;0.20; &#x2212;0.03)</td>
<td align="center" valign="top" rowspan="2">0.78</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">22.67&#x2009;&#x00B1;&#x2009;6.75</td>
<td align="center" valign="middle">24.78&#x2009;&#x00B1;&#x2009;6.47</td>
<td align="center" valign="top">2.11&#x2009;&#x00B1;&#x2009;4.66</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Any high-risk disease</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">21.06&#x2009;&#x00B1;&#x2009;8.13</td>
<td align="center" valign="middle" rowspan="2">0.628</td>
<td align="center" valign="top" rowspan="2">0.02<break/>(&#x2212;0.05; 0.09)</td>
<td align="center" valign="top" rowspan="2">0.08</td>
<td align="center" valign="middle">23.57&#x2009;&#x00B1;&#x2009;7.91</td>
<td align="center" valign="middle" rowspan="2">0.248</td>
<td align="center" valign="top" rowspan="2">0.04<break/>(&#x2212;0.03; 0.12)</td>
<td align="center" valign="top" rowspan="2">0.18</td>
<td align="center" valign="top">2.50&#x2009;&#x00B1;&#x2009;5.55</td>
<td align="center" valign="middle" rowspan="2">0.359</td>
<td align="center" valign="top" rowspan="2">0.04<break/>(&#x2212;0.04; 0.11)</td>
<td align="center" valign="top" rowspan="2">0.18</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">21.21&#x2009;&#x00B1;&#x2009;7.34</td>
<td align="center" valign="middle">23.90&#x2009;&#x00B1;&#x2009;7.00</td>
<td align="center" valign="top">2.69&#x2009;&#x00B1;&#x2009;5.06</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Current smoker</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">21.13&#x2009;&#x00B1;&#x2009;7.88</td>
<td align="center" valign="middle" rowspan="2">0.819</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.01<break/>(&#x2212;0.11; 0.08)</td>
<td align="center" valign="top" rowspan="2">0.05</td>
<td align="center" valign="top">23.69&#x2009;&#x00B1;&#x2009;7.57</td>
<td align="center" valign="top" rowspan="2">0.835</td>
<td align="center" valign="top" rowspan="2">0.01<break/>(&#x2212;0.08; 0.11)</td>
<td align="center" valign="top" rowspan="2">0.05</td>
<td align="center" valign="top">2.55&#x2009;&#x00B1;&#x2009;5.33</td>
<td align="center" valign="top" rowspan="2">0.540</td>
<td align="center" valign="top" rowspan="2">0.03<break/>(&#x2212;0.07; 0.13)</td>
<td align="center" valign="top" rowspan="2">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">21.04&#x2009;&#x00B1;&#x2009;7.32</td>
<td align="center" valign="top">23.76&#x2009;&#x00B1;&#x2009;7.28</td>
<td align="center" valign="top">2.71&#x2009;&#x00B1;&#x2009;5.33</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Consumes alcohol</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">21.04&#x2009;&#x00B1;&#x2009;7.89</td>
<td align="center" valign="top" rowspan="2">0.199</td>
<td align="center" valign="top" rowspan="2">0.06<break/>(&#x2212;0.04; 0.17)</td>
<td align="center" valign="top" rowspan="2">0.20</td>
<td align="center" valign="top">23.52&#x2009;&#x00B1;&#x2009;7.61</td>
<td align="center" valign="top" rowspan="2">0.002</td>
<td align="center" valign="top" rowspan="2">0.15<break/>(0.05; 0.25)</td>
<td align="center" valign="top" rowspan="2">0.80</td>
<td align="center" valign="top">2.48&#x2009;&#x00B1;&#x2009;5.35</td>
<td align="center" valign="top" rowspan="2">0.023</td>
<td align="center" valign="top" rowspan="2">0.12<break/>(0.02; 0.22)</td>
<td align="center" valign="top" rowspan="2">0.62</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">21.53&#x2009;&#x00B1;&#x2009;7.14</td>
<td align="center" valign="top">24.66&#x2009;&#x00B1;&#x2009;6.91</td>
<td align="center" valign="top">3.12&#x2009;&#x00B1;&#x2009;5.21</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Healthy lifestyle index</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">20.87&#x2009;&#x00B1;&#x2009;7.75</td>
<td align="center" valign="top" rowspan="2">&#x003C;0.001</td>
<td align="center" valign="top" rowspan="2">0.21<break/>(0.11; 0.32)</td>
<td align="center" valign="top" rowspan="2">0.97</td>
<td align="center" valign="top">23.55&#x2009;&#x00B1;&#x2009;7.58</td>
<td align="center" valign="top" rowspan="2">0.007</td>
<td align="center" valign="top" rowspan="2">0.14<break/>(0.03; 0.24)</td>
<td align="center" valign="top" rowspan="2">0.74</td>
<td align="center" valign="top">2.68&#x2009;&#x00B1;&#x2009;5.40</td>
<td align="center" valign="top" rowspan="2">0.022</td>
<td align="center" valign="top" rowspan="2">&#x2212;0.12<break/>(&#x2212;0.22; &#x2212;0.01)</td>
<td align="center" valign="top" rowspan="2">0.61</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">22.50&#x2009;&#x00B1;&#x2009;7.70</td>
<td align="center" valign="top">24.57&#x2009;&#x00B1;&#x2009;6.99</td>
<td align="center" valign="top">2.06&#x2009;&#x00B1;&#x2009;4.93</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Knowledge score is equal to the total knowledge scores of stroke occurrence, types, risks, warning signs, preventive measures, and what to do in case of an acute event.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec19">
<title>Discussion</title>
<p>In this study, the educational video successfully improved stroke knowledge among highly educated participants from different age groups and Arab countries. The predominant originality includes its brevity (which maintains audience focus), evidence-based content (<xref ref-type="bibr" rid="ref18 ref19 ref20">18&#x2013;20</xref>, <xref ref-type="bibr" rid="ref23">23</xref>), and availability online free of charge in English and Arabic. The educational tool effectively delivered relevant information about stroke occurrence sites, types, risk factors, warnings, signs, preventive measures, and appropriate behavior in emergencies, as evidenced by the significant improvement in all knowledge scores. The use of lay language and suggestive images made the content easily understood by the public and healthcare professionals. Improving knowledge, especially at a young age, is crucial to raising awareness of inappropriate health behaviors that may increase the risk of stroke. It could also help save lives by identifying alarming signs in case of an event and understanding the importance of seeking emergency care.</p>
<p>The pretest knowledge scores varied across countries, with Jordan exhibiting the highest scores, followed by Lebanon, while Egypt and UAE had comparable knowledge. Previous research in Jordan had categorized the level of knowledge and awareness regarding stroke as good, particularly among those with a higher level of education (<xref ref-type="bibr" rid="ref25">25</xref>). Conversely, studies conducted in Lebanon have reported poor knowledge in the general population, but not among participants with a university degree (<xref ref-type="bibr" rid="ref26">26</xref>), a trend also observed among older adults (<xref ref-type="bibr" rid="ref24">24</xref>). Similarly, in the present study, 88.3% of the Lebanese participants had a university degree. Unfortunately, campaigns intended to educate the general population are limited and lacking in Lebanon. Public education about stroke currently relies on academia and the scientific communities&#x2019; efforts (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Since awareness campaigns need general budgeting and planning, the main barriers in Lebanon are the ongoing economic downturn, the health system collapse, and the political crisis (<xref ref-type="bibr" rid="ref29">29</xref>). In Egypt, a low level of stroke knowledge was reported across four governorates (<xref ref-type="bibr" rid="ref30">30</xref>), with participants from urban areas demonstrating better knowledge than their rural counterparts (<xref ref-type="bibr" rid="ref31">31</xref>). Egypt and the UAE have established strategies to manage, prevent, and improve awareness of stroke (<xref ref-type="bibr" rid="ref32 ref33 ref34">32&#x2013;34</xref>) (<xref ref-type="bibr" rid="ref35 ref36 ref37 ref38 ref39">35&#x2013;39</xref>). In Egypt, accredited stroke centers, including tele-stroke units and training and education centers, have been established in collaboration with the Wings of Angels initiative (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). While the UAE is engaged in multiple awareness campaigns about stroke and is invested in stroke management and prevention plans through partnerships (<xref ref-type="bibr" rid="ref33">33</xref>) and the implementation of centers for excellence (<xref ref-type="bibr" rid="ref34">34</xref>), stroke knowledge was better among educated individuals than the general public (<xref ref-type="bibr" rid="ref41">41</xref>).</p>
<p>The baseline knowledge of stroke varied across different age groups, with participants aged 55&#x2009;years and above scoring the highest (<italic>M</italic>&#x2009;=&#x2009;22.46; SD&#x2009;=&#x2009;6.00) compared to those aged 25&#x2013;34&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;20.74; SD&#x2009;=&#x2009;8.18). According to the World Health Organization (WHO), stroke is the second leading cause of death in individuals aged &#x003E;60&#x2009;years and the fifth in people aged 15&#x2013;59&#x2009;years (<xref ref-type="bibr" rid="ref42">42</xref>). The youngest age group (25&#x2013;34&#x2009;years) may not be aware of the high incidence of stroke reported at this age, which can explain the lower scores compared with older adults. In the last decade, stroke has been increasingly documented in young adults (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref42">42</xref>), potentially due to higher incidences of preventable risk factors, such as smoking, obesity, hypertension, and dyslipidemia (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). Therefore, there is a critical need for educating young adults about the risks associated with stroke and the importance of preventive measures.</p>
<p>The baseline knowledge scores were lower among non-healthcare professionals, participants who did not have a family history of stroke, and those who consumed alcohol or did not maintain a healthy lifestyle. Interestingly, the difference between the pretest and posttest scores was significantly higher. These results indicate that the 3-min educational video succeeded in capturing the attention of susceptible individuals and those who may not have prior knowledge of this topic.</p>
<p>Educational campaigns have consistently demonstrated a significant improvement in stroke knowledge, awareness, and appropriate emergency response behaviors (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). In addition to educational lectures (<xref ref-type="bibr" rid="ref44">44</xref>), these campaigns have used various tools, including mass media (<xref ref-type="bibr" rid="ref18 ref19 ref20">18&#x2013;20</xref>, <xref ref-type="bibr" rid="ref44 ref45 ref46">44&#x2013;46</xref>), social media platforms (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref47">47</xref>), mobile applications (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>), pharmacy flyers (<xref ref-type="bibr" rid="ref47">47</xref>), readings in schools and high schools (<xref ref-type="bibr" rid="ref44">44</xref>), and advertisement in public transportation spots (<xref ref-type="bibr" rid="ref48">48</xref>). Notably, mobile applications were well-received by healthcare professionals and individuals at risk of stroke (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). In Western Norway, mass media intervention effectively enhanced awareness about acute stroke onset, as indicated by the increase in the number of admissions to the emergency room (<xref ref-type="bibr" rid="ref35">35</xref>). However, sustaining this improvement necessitated repeated campaigns beyond the initial 6&#x2009;months allocated (<xref ref-type="bibr" rid="ref35">35</xref>). Similarly, regular mass media coverage was recommended in Hungary to educate the public about stroke instead of a 1-day campaign (<xref ref-type="bibr" rid="ref36">36</xref>). The Stroke Foundation in Australia conducted annual paid advertisements from 2004 to 2014 using the FAST campaign to promote the need for emergency medical services, resulting in improved public awareness and behaviors (<xref ref-type="bibr" rid="ref37">37</xref>). Similar positive effects were observed in New Zealand with the implementation of these campaigns (<xref ref-type="bibr" rid="ref38">38</xref>). Worldwide national campaigns among the general public significantly improved knowledge of stroke (<xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>) and emergency response behaviors (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). These campaigns varied in duration, from 1-week campaigns per year for 4&#x2009;years to 50-month initiatives (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>The design and implementation of educational campaigns for stroke vary based on the sustainability of financial support and the intended audience&#x2019;s demographics, including age, sex, cultural background, level of education, and stroke risks (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref48 ref49 ref50 ref51">48&#x2013;51</xref>). Reading was the preferred way to acquire information in schools (<xref ref-type="bibr" rid="ref44">44</xref>). In some cultures, social networking may be a way of communicating and enhancing awareness about the topic (<xref ref-type="bibr" rid="ref49">49</xref>). Television remains a widely accepted and efficient means of education and communication, reaching a vast audience. Nevertheless, it is time-limited and requires repetition to convey the message and a dedicated budget for sustained campaigns (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). Social media platforms offer enhanced communication and interaction among healthcare professionals and the community (<xref ref-type="bibr" rid="ref47">47</xref>). Blogs, infographics, and videos shared on social media can reach a vast audience (<xref ref-type="bibr" rid="ref47">47</xref>). However, the proliferation of infodemics and misinformation on social media can have adverse effects on individuals&#x2019; health-related behaviors (<xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>).</p>
<p>Finally, the main challenges in stroke education campaigns include the need for short-term non-repetitive campaigns, sustainable financial support, and an adequate educational approach tailored to the cultural background, age, sex, and level of education of the target audience. Educating children in schools and colleges is crucial to preparing a knowledgeable society for the future and influencing the parents&#x2019; behaviors. Engaging students in academic activities allows them to undertake periodic educational campaigns within their community as part of extra-curricular public health initiatives. This bundle of initiatives may be effective even without a budget or financial support.</p>
<sec id="sec20">
<title>Limitations</title>
<p>The limitations of the study are mainly the population distribution. Participants had predominantly a university degree, were 55&#x2009;years and younger, and were women. Other limitations inherent to the study design include response bias and concerns related to data validity, as participants can get the information from another source, so the presence of an interviewer is preferable. The study design can also introduce selection bias, addressing the need to conduct randomized controlled trials to allow the generalizability of data findings. In addition, a comparison between intervention and control groups was not undertaken due to the study design limitations, lack of funding, and time constraints. Additional limitations include the short-term impact of this study, while detection of the tool&#x2019;s long-term effectiveness in reducing disability, morbidity, and mortality and improving overall outcomes of stroke mandate a full-scale trial. Other limitations include a lack of long-term follow-up to verify the sustainability of the knowledge gained about stroke follow-up.</p>
</sec>
<sec id="sec21">
<title>Practical implications</title>
<p>The educational video in this study showed how academia can play a crucial role in public health education without the need for a high budget. There is room for improvement if the government, professional societies, healthcare professionals, social workers, academia, students, and the community engage in awareness campaigns. If a budget is available, television and advertisements in public transportation, flyers distribution in pharmacies, stroke screening, and educational campaigns have proven effective. Regardless of budget constraints, school education and the role of academia, professional societies, and international organizations can secure a sustainable impact for a healthy society.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec22">
<title>Conclusion</title>
<p>Educating the public about stroke has proven effective in enhancing knowledge and adapting appropriate behavior in case of an emergency. The main goal of this educational video in the short term is to improve community knowledge about stroke and the impact of inappropriate health behaviors, the identification of stroke signs, and action taken in case of an event. The mainstays are predominantly the sustainability and long-term effectiveness of this improvement in modifying inappropriate health behaviors and decreasing the risk of stroke morbidity and mortality. There is a need to capitalize on the strengths of this video and tailor its content to different cultural and educational backgrounds to reach all age groups. This tool can be part of a bundle of evidence-based interventions planned and implemented in collaboration with healthcare providers, the academic sector, governments, non-healthcare providers, and community engagement.</p>
</sec>
<sec sec-type="data-availability" id="sec23">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: <ext-link xlink:href="https://doi.org/10.6084/m9.figshare.24551878.v2" ext-link-type="uri">https://doi.org/10.6084/m9.figshare.24551878.v2</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec24">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the institutional Review Board at Abu Dhabi University approved this study under the code number CoHS &#x2013; 22-05-00018. 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="sec25">
<title>Author contributions</title>
<p>KI: Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. DR: Validation, Writing &#x2013; original draft. PS: Data curation, Formal analysis, Software, Validation, Writing &#x2013; review &#x0026; editing. CH: Data curation, Formal analysis, Software, Visualization, Writing &#x2013; review &#x0026; editing. HS: Writing &#x2013; review &#x0026; editing. MB: Investigation, Writing &#x2013; review &#x0026; editing. RD: Investigation, Writing &#x2013; review &#x0026; editing. SE: Investigation, Writing &#x2013; review &#x0026; editing. JS: Investigation, Writing &#x2013; review &#x0026; editing. FS: Investigation, Writing &#x2013; review &#x0026; editing. MR: Conceptualization, Validation, Writing &#x2013; review &#x0026; editing. HH: Conceptualization, Validation, Writing &#x2013; review &#x0026; editing. MC: Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec26">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article from the University of Abu Dhabi, Abu Dhabi, United Arab Emirates.</p>
</sec>
<sec sec-type="COI-statement" id="sec27">
<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 sec-type="disclaimer" id="sec28">
<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>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://terrance.who.int/mediacentre/data/WHODAS/Guidelines/WHODAS%202.0%20Translation%20guidelines.pdf" ext-link-type="uri">https://terrance.who.int/mediacentre/data/WHODAS/Guidelines/WHODAS%202.0%20Translation%20guidelines.pdf</ext-link></p></fn>
<fn id="fn0002">
<p><sup>2</sup><ext-link xlink:href="https://www.psychometrica.de/effect_size.html" ext-link-type="uri">https://www.psychometrica.de/effect_size.html</ext-link></p>
</fn>
</fn-group>
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