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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>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1496931</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Vitamin A supplementation coverage and its associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wondie</surname> <given-names>Wubet Tazeb</given-names></name>
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<name><surname>Zemariam</surname> <given-names>Alemu Birara</given-names></name>
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<contrib contrib-type="author">
<name><surname>Gedefaw</surname> <given-names>Gezahagn Demsu</given-names></name>
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<contrib contrib-type="author">
<name><surname>Lakew</surname> <given-names>Gebeyehu</given-names></name>
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<name><surname>Getachew</surname> <given-names>Eyob</given-names></name>
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<contrib contrib-type="author">
<name><surname>Mengistie</surname> <given-names>Berihun Agegn</given-names></name>
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<contrib contrib-type="author">
<name><surname>Shibabaw</surname> <given-names>Adamu Ambachew</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chereka</surname> <given-names>Alex Ayenew</given-names></name>
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<name><surname>Kitil</surname> <given-names>Gemeda Wakgari</given-names></name>
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<name><surname>Yirsaw</surname> <given-names>Amlaku Nigusie</given-names></name>
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<name><surname>Mekonnen</surname> <given-names>Gebrehiwot Berie</given-names></name>
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<aff id="aff1"><sup>1</sup><institution>Department of Pediatrics and Child Health Nursing, College of Health Sciences and Referral Hospital, Ambo University</institution>, <addr-line>Ambo</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Science Woldia University</institution>, <addr-line>Woldia</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Neonatal Health Nursing, School of Nursing, College of Medicine and Health Science, University of Gondar</institution>, <addr-line>Gondar</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Health Promotion and Health Behavior, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar</institution>, <addr-line>Gondar</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of General Midwifery, School of Midwifery, College of Medicine and Health Sciences, University of Gondar</institution>, <addr-line>Gondar</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Health Informatics, College of Health Science, Mettu University</institution>, <addr-line>Mettu</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Midwifery, College of Health Science, Mettu University</institution>, <addr-line>Mettu</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Pediatrics and Child Health Nursing, College of Health Science, Debre Tabor University</institution>, <addr-line>Debre Tabor</addr-line>, <country>Ethiopia</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: CP Yadav, ICMR-National Institute of Cancer Prevention and Research, India</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Prithvi Singh, Jamia Millia Islamia, India</p>
<p>Rajit Mullick, Indian Council of Medical Research (ICMR), India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Wubet Tazeb Wondie, <email>wubettazeb27@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1496931</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wondie, Zemariam, Gedefaw, Lakew, Getachew, Mengistie, Shibabaw, Chereka, Kitil, Yirsaw and Mekonnen.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wondie, Zemariam, Gedefaw, Lakew, Getachew, Mengistie, Shibabaw, Chereka, Kitil, Yirsaw and Mekonnen</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>Background</title>
<p>Vitamin A supplementation is a key strategy for preventing the consequences of vitamin A deficiency and childhood illnesses, notably in countries where vitamin A deficiency is a public health issue. However, studies in Ethiopia are inconsistent. Hence, this meta-analysis assessed coverage of vitamin A supplementation and associated factors among children aged 6&#x2013;59&#x202F;months in Ethiopia.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A search of articles from databases (PubMed, Science Direct, African Index Medicus, and HINARI), and search engines (Google Scholar, Google, and Worldwide Science) was done. All observational studies that report vitamin A supplementation and/or associated factors among children were included. The Joana Brigs quality appraisal checklist was used. To estimate the pooled effect size a random effect model was used. Heterogeneity was evaluated using <italic>I</italic><sup>2</sup>-test and Cochrane Q statistics. Subgroup and sensitivity analyses were conducted. Publication bias was assessed using Egger&#x2019;s test and funnel plot.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 14 studies, involving 43,047 children aged 6&#x2013;59&#x202F;months, were included. The pooled vitamin A supplementation coverage was 54.88% (95% CI: 47.34&#x2013;62.42). The lowest coverage 43.71%% (95% CI: 42.71&#x2013;45.14) was among children 6&#x2013;35&#x202F;months. Four or more antenatal care (AOR: 1.79, 95%CI: 1.59&#x2013;2.01), Postnatal care (AOR: 1.43, 95% CI: 1.24&#x2013;1.66), delivery at health facilities (AOR: 1.14 95%CI: 1.02&#x2013;1.28), media exposure (AOR: 1.19, 95% CI: 1.08&#x2013;1.31), time to reach health facilities (AOR: 1.90, 95% CI: 1.11&#x2013;3.24), information about VAS (AOR: 2.99, 95%CI: 1.72&#x2013;5.20), maternal secondary education and above (AOR: 1.32, 95% CI: 1.07&#x2013;1.64), and (AOR: 2.31, 95% CI: 1.31&#x2013;4.09) respectively, and fathers education above secondary school (AOR:1.92, 95% CI: 1.13&#x2013;3.26) were significant factors.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The pooled vitamin A supplementation coverage is significantly below the WHO&#x2019;s recommendation of 80%. Antenatal care, postnatal care, health facilities delivery, media exposure, time to reach health facilities, Information about VAS, maternal and paternal secondary education, and above increase VAS. Hence, the national nutritional program is better to increase awareness of the community about VAS, particularly targeting parents with low educational status and no antenatal and postnatal care through social media and community meetings. Additionally, the EPI program should strengthen outreach supplementations including door-to-door distribution to address older children and socio-economically disadvantaged populations.</p>
</sec>
<sec id="sec5">
<title>Systematic review registration</title>
<p>identifier CRD42024576200.</p>
</sec>
</abstract>
<kwd-group>
<kwd>associated factors</kwd>
<kwd>children 6&#x2013;59&#x202F;months&#x2019;</kwd>
<kwd>coverage</kwd>
<kwd>Ethiopia</kwd>
<kwd>vitamin A supplementation</kwd>
</kwd-group>
<counts>
<fig-count count="13"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="73"/>
<page-count count="16"/>
<word-count count="9174"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Children and Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Vitamin A is an essential micronutrient required for normal vision, reproduction, healthy immune function, growth, and development (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). However, inadequate intake of vitamin A increases the risk of mortality, and visual impairment, and weakens the body&#x2019;s ability to fight off infection, notably in children (<xref ref-type="bibr" rid="ref3">3</xref>). On the other hand, vitamin A supplementation (VAS) reduces all causes of mortality by 25% (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>), diarrhea-related mortality by 30%% (<xref ref-type="bibr" rid="ref5">5</xref>), and measles and other respiratory infections (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>In low and middle-income countries (LMIC), VAS coverage is below 70% (<xref ref-type="bibr" rid="ref7">7</xref>), and vitamin A deficiency affects one-third of children, particularly in Sub-Saharan Africa (SSA) (<xref ref-type="bibr" rid="ref8">8</xref>). The most severe outcomes of vitamin A deficiency such as corneal xerophthalmia, severe illness, and death are primarily found in children aged 6&#x2013;59&#x202F;months, making this population an urgent priority for vitamin A supplementation (VAS) (<xref ref-type="bibr" rid="ref9">9</xref>). In areas where vitamin A deficiency is a significant public health concern, to reduce morbidity and mortality associated with vitamin A deficiency, the World Health Organization (WHO) recommends VAS for all children aged 6&#x2013;59&#x202F;months (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). In such regions, an 80% coverage rate is recommended (<xref ref-type="bibr" rid="ref9">9</xref>), because VAS is a cheap, safe, and cost-effective way to eliminate this nutritional deficiency and improve child survival (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>However, VAS coverage remains below the recommended level, with notable geographical disparities. For instance, coverage rates in South Asia are 62%, in West and Central Africa 71%, in East and South Africa 57%, and in the East Asia and Pacific region 20% (<xref ref-type="bibr" rid="ref12">12</xref>). In Sub-Saharan Africa, only 56.3% of children were received VAS (<xref ref-type="bibr" rid="ref13">13</xref>). Coverage also varies widely across low and middle-income countries (LMIC), with countries like Mozambique 42.8%, Senegal 46.1%, Sierra Leone 86.9% (<xref ref-type="bibr" rid="ref14">14</xref>), Guinea 68% (<xref ref-type="bibr" rid="ref15">15</xref>), Mali 80% (<xref ref-type="bibr" rid="ref16">16</xref>), Nigeria 43% (<xref ref-type="bibr" rid="ref17">17</xref>). Tanzania 53.18% (<xref ref-type="bibr" rid="ref18">18</xref>), Cambodia 42.8% (<xref ref-type="bibr" rid="ref19">19</xref>), India 60.5% (<xref ref-type="bibr" rid="ref20">20</xref>), and Brazil 41.5% (<xref ref-type="bibr" rid="ref21">21</xref>). This indicates that the coverage is below the optimal level in many regions (<xref ref-type="bibr" rid="ref22">22</xref>). These studies revealed that child age (6&#x2013;12&#x202F;months and 35&#x2013;59&#x202F;months) (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), exposure to mass media (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>), fathers educational status (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref27">27</xref>), mothers employment status (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>), antenatal care (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>), delivery in a health facility (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>), mothers secondary educational level (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref25">25</xref>), receiving information from health care workers and peers (<xref ref-type="bibr" rid="ref28">28</xref>), household wealth (<xref ref-type="bibr" rid="ref17">17</xref>), place of residence (<xref ref-type="bibr" rid="ref29">29</xref>), mothers with education secondary school are factors that affect vitamin A supplementation (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>VAS has been a global health strategy, often integrated with routine immunization and campaigns to reduce the burden of vitamin A deficiency and its severe consequences (<xref ref-type="bibr" rid="ref9">9</xref>). Various efforts have been implemented to enhance the coverage of vitamin A and mitigate the effect of vitamin A deficiency. For example, WHO recommends supplementation for every child every 4&#x2013;6&#x202F;months, and in SSA, door-to-door distribution has been used successfully to achieve high VAS coverage (<xref ref-type="bibr" rid="ref30">30</xref>). In Ethiopia, the national nutritional program has promoted supplementation, and over the past two decades, the Ministry of Health has introduced different strategies to enhance VAS through health extension programs and other campaign-based approaches such as enhanced outreach strategy, community health days, and periodic supplementation (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). The VAS program has now been integrated into the routine immunization program (<xref ref-type="bibr" rid="ref32">32</xref>). Additionally, Ethiopia&#x2019;s first and second transformation Plans aimed to increase VAS coverage in children to 95% by the end of 2020 (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>Despite these efforts, VAS coverage and vitamin A deficiency remain a significant public health challenge in Ethiopia (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). In Ethiopia, several studies investigated VAS coverage and contributing factors at the district level and through national surveys. However, the findings on VAS coverage and the contributing factors are fragmented and inconsistent, ranging from 36.2% (<xref ref-type="bibr" rid="ref37">37</xref>) to 83.1% (<xref ref-type="bibr" rid="ref38">38</xref>). These figures do not provide comprehensive and robust conclusions for stakeholders. Therefore, the present meta-analysis assesses the vitamin A supplementation coverage and associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia. The findings of this study will help to prevent vitamin A deficiency and its related consequences by identifying factors that affect VAS and by providing evidence-based information to policymakers and program implementers. Furthermore, it will serve as a baseline data for future researchers.</p>
</sec>
<sec sec-type="methods" id="sec7">
<label>2</label>
<title>Methods</title>
<sec id="sec8">
<label>2.1</label>
<title>Protocol registration and search strategy</title>
<p>The preferred reporting items for systematic review and meta-analysis (PRISMA 20) guideline was used for reporting the findings of this study (<xref ref-type="bibr" rid="ref39">39</xref>) (<xref ref-type="supplementary-material" rid="SM1">Supplementary material 1</xref>). The protocol registration number of this study was CRD42024576200 which is available from <ext-link xlink:href="https://www.crd.york.ac.uk/prospero/#recordDetails" ext-link-type="uri">https://www.crd.york.ac.uk/prospero/#recordDetails</ext-link>.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Searching strategy and study selection</title>
<p>A systematic search of studies was conducted by two authors to identify studies that report VAS coverage and/or associated factors among children 6&#x2013;59 of age months in Ethiopia. The search of articles was carried out in databases such as PubMed, African Index Medicus (AIM), Science Direct, and HINARI using Medical Subject Heading (MeSH) terms and relevant keywords. Additionally, a manual search of articles was carried out using web search engines such as Google Scholar, Google, and Worldwide Science. The reference lists of included studies were reviewed, and gray literature from university repositories was examined. The Boolean operators AND, OR and Asterisks and the following terms and phrases was used during searching as follows: ((((((((((Coverage[Title/Abstract]) OR (&#x201C;Vaccination Coverage&#x201D;[Mesh])) OR (Prevalence[Title/Abstract])) OR (Magnitude[Title/Abstract])) OR (Proportion[Title/Abstract])) OR (Uptake[Title/Abstract])) OR (Differential[Title/Abstract])) OR (&#x201C;Micro-nutrient intake&#x201D;[Title/Abstract])) AND (((((((((&#x201C;Associated factors&#x201D;[Title/Abstract])) OR (&#x201C;Precipitating Factors&#x201D;[Mesh])) OR (Determinants[Title/Abstract])) OR (&#x201C;Epidemiologic factors&#x201D;[Title/Abstract])) OR (Predictors[Title/Abstract])) OR (&#x201C;Risk factors&#x201D;[Title/Abstract])) OR (Barriers[Title/Abstract])) OR (Facilitators[Title/Abstract]))) AND (((((((&#x201C;Vitamin A supplementation&#x201D;[Title/Abstract]) OR (&#x201C;vitamin A&#x201D;[MeSH Terms])) OR (Vitamin A[Title/Abstract])) OR (&#x201C;Retinol supplementation&#x201D;[Title/Abstract])) OR (&#x201C;Pro vitamin A &#x201C;[Title/Abstract])) OR (&#x201C;Vitamin A Supplement&#x002A;&#x201D;[Title/Abstract])) OR (&#x201C;Dietary supplementation&#x201D;[Title/Abstract]))) AND ((((((((&#x201C;Children 6&#x2013;59&#x202F;months&#x201D;[Title/Abstract]) OR (&#x201C;child&#x201D;[MeSH Terms])) OR (Child&#x002A;[Title/Abstract])) OR (Infants&#x002A;[Title/Abstract])) OR (&#x201C;Preschool children&#x201D;[Title/Abstract])) OR (&#x201C;Under five years&#x2019; children&#x201D;[Title/Abstract])) OR (&#x201C;Children 6&#x2013;36&#x202F;months&#x201D;[Title/Abstract])) OR (&#x201C;Children 6&#x2013;24&#x202F;months&#x201D;[Title/Abstract])) AND (Ethiopia[Title/Abstract]). A search of articles from databases and search engines was done from August 3, 2024, to August 12, 2024. All eligible studies published up to August 12, 2024, were included (<xref ref-type="supplementary-material" rid="SM1">Supplementary material 2</xref>).</p>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Eligibility criteria</title>
<p>This study includes all observational studies (cross-sectional, cohort, and case&#x2013;control studies) written in the English language that report the vitamin A supplementation coverage among children 6&#x2013;59&#x202F;months of age in Ethiopia up to August 12, 2024. Studies that report only determinants of VAS were included to identify those specific determinants. The included studies followed the PECO framework: P&#x202F;=&#x202F;Population aged 6&#x2013;59&#x202F;months, E&#x202F;=&#x202F;children who receive vitamin A, C&#x202F;=&#x202F;children who do not receive vitamin A, O&#x202F;=&#x202F;vitamin A coverage and associated factor. On the other hand, Studies that do not report the outcome variables, abstract, and/or full text were excluded after two email attempts to contact the corresponding authors. Additionally, anonymous reports, editorials, and purely qualitative studies that do not report the proportion or determinants of VAS were also excluded.</p>
</sec>
<sec id="sec11">
<label>2.4</label>
<title>The outcome of interest ascertainment</title>
<p>This study has two outcomes. The first outcome is vitamin A supplementation (VAS) among children aged 6&#x2013;59&#x202F;months. Vitamin A supplementation (VAS) coverage was defined as the proportion of eligible children 6&#x2013;59&#x202F;months who received at least one dose of vitamin A and expressed as a percentage and frequency (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). The second outcome is the factors associated with V-A supplementation for these children. The association between VAS and associated factors was expressed in the form of Adjusted Odds Ratio (AOR) with their 95% Confidence Intervals (CI). Determinants reported in at least two studies were included in the meta-analysis.</p>
</sec>
<sec id="sec12">
<label>2.5</label>
<title>Data extraction</title>
<p>After searching articles from the databases and search engines, three authors (WTW, ABZ, and GBM) screened the titles and abstracts. Articles that passed this initial screening were then eligible for full-text review. The authors (WTW, GBM, EG, BAM, and AAS) independently evaluated the studies for inclusion in the final meta-analysis. Any disagreements among the authors were resolved by consulting the other authors (ANY &#x0026; GL). Microsoft Excel was used for data extraction. The first author&#x2019;s last name, year of publication, study area, study design, proportion of the outcome variables, sample size, and adjusted odds ratio with their 95% confidence interval (CI) of the associated factors were extracted from each study. Two independent reviewers (WTW &#x0026; GBM) extracted the data, and any disagreement between these authors was resolved by re-evaluating the full text and consulting the third author (ABZ) to ensure its accuracy. In cases where data were incomplete, the corresponding authors were contacted twice by email, and if no additional data were provided, calculations were performed based on the available information.</p>
</sec>
<sec id="sec13">
<label>2.6</label>
<title>Risk of bias and quality assessment</title>
<p>The methodological quality of each included study was evaluated by three independent authors (WTW, ABZ, and GBM) using the Johana Brigs Institute (JBI) quality appraisal checklist, which was adopted for Cohort and cross-sectional studies (<xref ref-type="bibr" rid="ref42">42</xref>). The checklist consists of 11 criteria for cohort and 8 criteria for cross-sectional studies. The quality indicators were converted into percentages, and the quality score was graded as high if they scored above 80%, medium quality if they scored between 60 and 80%, and low quality if they scored below 60%. After assessing the quality of each study individually, the three authors met to discuss the quality of each study thoroughly and labeled it based on the JBI scale. Any disagreement that occurs between reviewers was resolved by discussion with a fourth author ANY (<xref ref-type="supplementary-material" rid="SM1">Supplementary material 3</xref>).</p>
</sec>
<sec id="sec14">
<label>2.7</label>
<title>Data synthesis and analysis</title>
<p>After extracting the data in Microsoft Excel, the data was exported to STATA version 17 for further analysis. The pooled estimate of VAS coverage and the effect size of associated factors were estimated using the random effect model with the Restricted Maximum Likelihood ratio (REML) method. Effect sizes were expressed as percentages and Adjusted odds ratio (AOR) with 95% of their Confidence Interval (CI). Heterogeneity across studies was assessed using the Cochrane <italic>Q</italic>-test, tau-squared test, and <italic>I<sup>2</sup></italic> statistics. To identify the potential source of heterogeneity, a sub-analysis was conducted based on the participants&#x2019; age group. Additionally, a sensitivity analysis was done to assess the impact of each study on the pooled VAS estimate by sequentially omitting each study one by one. The small study effect (publication bias) was assessed using a funnel plot (<xref ref-type="bibr" rid="ref43">43</xref>), and Eggers test (<xref ref-type="bibr" rid="ref44">44</xref>). The Eggers test result (<italic>p</italic> &#x003C; 0.005) was used to declare the presence of a small study effect. The association between VAS coverage and associated factors was expressed by the adjusted odds ratio. The results were presented using forest plots and tables.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<label>3</label>
<title>Results</title>
<sec id="sec16">
<label>3.1</label>
<title>Review processes</title>
<p>Through comprehensive searching, a total of 1,045 articles were found in electronic databases and web search engines. Of these, 598 articles were found in databases (PubMed&#x202F;=&#x202F;315, Science Direct =122, African Index Medicus (AIM)&#x202F;=&#x202F;94, HINARI&#x202F;=&#x202F;67). Out of these 598 studies, 72 were found to be duplicated and removed. The remaining 526 studies were screened by title and abstract for inclusion in the Endnote, among them 478 irrelevant studies were excluded. After removing the irrelevant studies, the remaining 48 studies were screened by full text, out of these 37 studies were excluded based on pre-specified inclusion criteria, and the remaining 11 articles were included in this systematic review and meta-analysis. In the search engines (Google Scholar, Google, World Wide Science) 447 studies were found. Out of these, 444 studies were [duplicated (<italic>n</italic>&#x202F;=&#x202F;96) and unrelated to the condition of interest (n&#x202F;=&#x202F;348)]. The remaining three articles were eligible and included in this meta-analysis. Finally, 14 articles (11 from databases and 3 from other search engines) were found to be eligible and included in the final meta-analysis (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>PRISMA 2020 flow diagram showing study searching and selection for vitamin A supplementation coverage and associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g001.tif"/>
</fig>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Characteristics of studies that report vitamin A supplementation coverage and its associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia</title>
<p>Fourteen studies with a total of 43,047 children aged 6&#x2013;59&#x202F;months were found to be eligible and included in this study. Among these studies, the largest sample size was 9,276 (<xref ref-type="bibr" rid="ref41">41</xref>), while the lowest sample size was 471 (<xref ref-type="bibr" rid="ref45">45</xref>). The highest coverage of vitamin A supplementation was 83.1% (<xref ref-type="bibr" rid="ref38">38</xref>) while the lowest VAS was 36.2% (<xref ref-type="bibr" rid="ref37">37</xref>). Regarding the study region, one study (<xref ref-type="bibr" rid="ref46">46</xref>) was conducted in Addis Ababa, five studies (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>) were in SNNPR, one study (<xref ref-type="bibr" rid="ref49">49</xref>) was conducted in developed regions of the country (Oromia, Amhara, Tigray Harari and SNNPR), one was conducted in Emerging regions (Afar, Benishangul Gumuz, Gambella, and Somali regions) (<xref ref-type="bibr" rid="ref50">50</xref>), six studies (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref51 ref52 ref53 ref54 ref55">51&#x2013;55</xref>) were nationally survey at different time. Regarding the study design 13 (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref45 ref46 ref47 ref48 ref49 ref50 ref51 ref52 ref53 ref54 ref55">45&#x2013;55</xref>) were cross-sectional and one was a retrospective cohort study (<xref ref-type="bibr" rid="ref38">38</xref>) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of studies that report vitamin A supplementation coverage and/or its associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">ID</th>
<th align="left" valign="top">Author</th>
<th align="left" valign="top">Region</th>
<th align="left" valign="top">Age group</th>
<th align="left" valign="top">Study design</th>
<th align="center" valign="top">Sample size</th>
<th align="center" valign="top">Outcome</th>
<th align="center" valign="top">Proportion</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1</td>
<td align="left" valign="top">Berihun et al. (<xref ref-type="bibr" rid="ref45">45</xref>)</td>
<td align="left" valign="top">SNNP</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">471</td>
<td align="center" valign="top">273</td>
<td align="center" valign="top">58</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">Amare et al. (<xref ref-type="bibr" rid="ref49">49</xref>)</td>
<td align="left" valign="top">4 regions (Amhara, Oromia, Tigray and SNNP)</td>
<td align="left" valign="top">6&#x2013;35&#x202F;month</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">2,362</td>
<td align="center" valign="top">1,017</td>
<td align="center" valign="top">43.06</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">Gebremedhin et al. (<xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="left" valign="top">SNNP</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Retrospective cohort</td>
<td align="center" valign="top">1,597</td>
<td align="center" valign="top">1,327</td>
<td align="center" valign="top">83.1</td>
</tr>
<tr>
<td align="left" valign="top">4</td>
<td align="left" valign="top">Lucha et al. (<xref ref-type="bibr" rid="ref51">51</xref>)</td>
<td align="left" valign="top">Nationally 2019</td>
<td align="left" valign="top">6&#x2013;35&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">2,242</td>
<td align="center" valign="top">995</td>
<td align="center" valign="top">44.4</td>
</tr>
<tr>
<td align="left" valign="top">5</td>
<td align="left" valign="top">Gebretsadik et al. (<xref ref-type="bibr" rid="ref46">46</xref>)</td>
<td align="left" valign="top">Addis Ababa</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">613</td>
<td align="center" valign="top">365</td>
<td align="center" valign="top">59.54</td>
</tr>
<tr>
<td align="left" valign="top">6</td>
<td align="left" valign="top">Kassa et al. (<xref ref-type="bibr" rid="ref47">47</xref>)</td>
<td align="left" valign="top">SNNP</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">813</td>
<td align="center" valign="top">610</td>
<td align="center" valign="top">75</td>
</tr>
<tr>
<td align="left" valign="top">7</td>
<td align="left" valign="top">Gilano et al. (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
<td align="left" valign="top">Nationally 2016</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">8,973</td>
<td align="center" valign="top">4,029</td>
<td align="center" valign="top">44.9</td>
</tr>
<tr>
<td align="left" valign="top">8</td>
<td align="left" valign="top">Haile et al. (<xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="left" valign="top">Nationally 2011</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">9,276</td>
<td align="center" valign="top">4,995</td>
<td align="center" valign="top">54.5</td>
</tr>
<tr>
<td align="left" valign="top">9</td>
<td align="left" valign="top">Oumer et al. (<xref ref-type="bibr" rid="ref54">54</xref>)</td>
<td align="left" valign="top">Nationally2016</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">8,361</td>
<td align="center" valign="top">NR</td>
<td align="center" valign="top">NR</td>
</tr>
<tr>
<td align="left" valign="top">10</td>
<td align="left" valign="top">Negussie et al. (2021)</td>
<td align="left" valign="top">SNNP</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">665</td>
<td align="center" valign="top">241</td>
<td align="center" valign="top">36.2</td>
</tr>
<tr>
<td align="left" valign="top">11</td>
<td align="left" valign="top">Gebremedhin al (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
<td align="left" valign="top">Emerging regions (Afar, Benishangul Gumuz, Gambella, and Somali)</td>
<td align="left" valign="top">6&#x2013;23&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">1,009</td>
<td align="center" valign="top">476</td>
<td align="center" valign="top">47.2</td>
</tr>
<tr>
<td align="left" valign="top">12</td>
<td align="left" valign="top">Gambura et, al. (<xref ref-type="bibr" rid="ref48">48</xref>)</td>
<td align="left" valign="top">SNNP</td>
<td align="left" valign="top">6&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">511</td>
<td align="center" valign="top">358</td>
<td align="center" valign="top">70.1</td>
</tr>
<tr>
<td align="left" valign="top">13</td>
<td align="left" valign="top">Fetene et al. (<xref ref-type="bibr" rid="ref53">53</xref>)</td>
<td align="left" valign="top">Nationally2016</td>
<td align="left" valign="top">6&#x2013;24&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">1,392</td>
<td align="center" valign="top">708</td>
<td align="center" valign="top">50.86</td>
</tr>
<tr>
<td align="left" valign="top">14</td>
<td align="left" valign="top">Richard et al. (2008)</td>
<td align="left" valign="top">Nationally 2005</td>
<td align="left" valign="top">12&#x2013;59&#x202F;months</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="center" valign="top">4,762</td>
<td align="center" valign="top">2,229</td>
<td align="center" valign="top">46.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NR, not reported; SNNPR, South Nation Nationality and Peoples Region.</p>
</table-wrap-foot>
</table-wrap>
<sec id="sec18">
<label>3.2.1</label>
<title>Quality assessment of the included studies</title>
<p>The included studies&#x2019; quality was assessed using the Joana Briggs Institute (JBI) quality assessment checklist for cohort and cross-sectional studies. Accordingly, the included fourteen studies had moderate and good qualities (<xref ref-type="supplementary-material" rid="SM1">Supplementary material 3</xref>).</p>
</sec>
</sec>
<sec id="sec19">
<label>3.3</label>
<title>Pooled vitamin A supplementation coverage among children 6&#x2013;59&#x202F;months of age</title>
<p>Out of 14 studies, 13 studies (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref45 ref46 ref47 ref48 ref49 ref50 ref51 ref52 ref53">45&#x2013;53</xref>, <xref ref-type="bibr" rid="ref55">55</xref>) were included in estimating the pooled vitamin A Supplementation (VAS) Coverage among children in Ethiopia, because one study reported only determinants of VAS. The pooled vitamin A supplementation coverage among children aged 6&#x2013;59&#x202F;months in Ethiopia was found to be 54.88% (95% CI: 47.34&#x2013;62.42). The Random Effects Restricted Maximum Likelihood (REML) model was used to calculate the pooled VAS coverage. In the random effects model, there was significant heterogeneity across the included studies ((Q&#x202F;=&#x202F;1898 (degree of freedom (df)&#x202F;=&#x202F;12), <italic>p</italic>&#x202F;=&#x202F;0.00), Tau-squared&#x202F;=&#x202F;190.18, H&#x202F;=&#x202F;195.83, <italic>I<sup>2</sup></italic> =&#x202F;99.49%, <italic>p</italic>&#x202F;=&#x202F;0.00). Hence, to identify the potential source of this heterogeneity a sub-group and sensitivity analysis was conducted (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Forest plot showing the pooled vitamin A supplementation coverage among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g002.tif"/>
</fig>
<sec id="sec20">
<label>3.3.1</label>
<title>Investigation of heterogeneity across studies</title>
<p>There was a high level of heterogeneity among the included studies in the pooled estimates from the random effects model. This was verified at the statistical value of (Q&#x202F;=&#x202F;1898, <italic>p</italic>&#x202F;=&#x202F;0.00, Tau-squared&#x202F;=&#x202F;190.18, <italic>I<sup>2</sup></italic>&#x202F;=&#x202F;99.49%, <italic>p</italic>&#x202F;=&#x202F;0.00). The heterogeneity was further visualized using forest plots and Galbraith plots. As shown in the Galbraith plot, the majority of the studies were out of the 95% CI (<xref ref-type="fig" rid="fig3">Figure 3</xref>). To address and identify the potential source of heterogeneity sub-group analysis, sensitivity analysis, and meta-regression analysis were carried out as outlined below.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Galbraith plot showing heterogeneity of vitamin A supplementation of children in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g003.tif"/>
</fig>
</sec>
<sec id="sec21">
<label>3.3.2</label>
<title>Sub-group analysis based on children&#x2019;s age group</title>
<p>In the current study, sub-group analysis was performed based on the children&#x2019;s age group. The lowest VAS coverage of 43.71%% (95% CI: 42.71&#x2013;45.14) was found in the age group 6&#x2013;35&#x202F;months, while the highest VAS coverage of 58.67% (95% CI 48.73&#x2013;68.62) was found in children 6&#x2013;59&#x202F;months of age. The forest plot revealed moderate to substantial heterogeneities among studies reporting VAS coverage for children aged 6&#x2013;24&#x202F;months (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;68.16%. <italic>p</italic>&#x202F;=&#x202F;0.08) and for those aged 6&#x2013;59&#x202F;months (<italic>I</italic><sup>2</sup> =&#x202F;99.49, <italic>p</italic>&#x202F;=&#x202F;0.00) respectively. However, no heterogeneity was observed in studies that reported VAS coverage for children aged 6&#x2013;35&#x202F;months (tau-squared&#x202F;=&#x202F;0.00, <italic>I</italic><sup>2</sup>&#x202F;=&#x202F;0.00, <italic>p</italic>&#x202F;=&#x202F;0.36). Additionally, significant heterogeneity was found in the overall pooled estimate (Tau-squared =190.18, <italic>I</italic><sup>2</sup>&#x202F;=&#x202F;99.49, <italic>p</italic>&#x202F;=&#x202F;0.00) and between groups (test of group differences Q (2) =15.27 and <italic>p</italic>&#x202F;=&#x202F;0.00) (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Forest plot showing subgroup analysis of vitamin A supplementation coverage by age group of children in months in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g004.tif"/>
</fig>
</sec>
<sec id="sec22">
<label>3.3.3</label>
<title>Sensitivity analysis</title>
<p>To investigate the presence of a single influential study on the overall pooled estimate of VAS coverage among children aged 6&#x2013;59&#x202F;months, a leave-one-out analysis was conducted. The analysis showed that no individual study significantly affected the pooled VAS coverage (54.88%), because all of the single leave-one-out estimates were within the confidence interval of the overall pooled estimate (95% CI: 47.34&#x2013;62.42) (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Sensitivity (leave one out) analysis for the vitamin A supplementation coverage among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g005.tif"/>
</fig>
</sec>
<sec id="sec23">
<label>3.3.4</label>
<title>Meta-regression analysis</title>
<p>A meta-regression analysis was conducted to explore the source of heterogeneity based on the moderator sample size and publication year. However, none of the moderators were the potential source of variation (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Meta-regression analysis results for VAS among children aged 6&#x2013;59&#x202F;months in Ethiopia by publication year and sample size.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">The possible source of heterogeneity</th>
<th align="center" valign="top">Coefficients (95%CI)</th>
<th align="center" valign="top">Standard error</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Publication year</td>
<td align="center" valign="top">&#x2212;0.89 (&#x2212;2.35 to 0.57)</td>
<td align="center" valign="top">0.75</td>
<td align="center" valign="top"><bold>0.23</bold></td>
</tr>
<tr>
<td align="left" valign="top">Sample size</td>
<td align="center" valign="top">&#x2212;0.0012 (&#x2212;0.0037 to 0.0014)</td>
<td align="center" valign="top">0.0013</td>
<td align="center" valign="top"><bold>0.363</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>VAS:Vitamin A supplementation, CI: Confidence Interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec24">
<label>3.3.5</label>
<title>Publication bias (small study effect)</title>
<p>The presence of a small study effect (potential publication bias) was assessed both graphically using a funnel plot and statistically through the Eggers test. The funnel plot displayed a symmetrical distribution of the studies, while the Egger test was insignificant (<italic>p</italic>&#x202F;=&#x202F;0.5534). This implies that there was no evidence of publication bias in the current study (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Funnel plot to detect the presence of publication bias/small study effect/ in assessing the pooled VAS coverage and associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="sec25">
<label>3.4</label>
<title>Factors associated with pooled vitamin A supplementation coverage</title>
<p>A meta-analysis was conducted to identify the pooled effect size of various factors associated with VAS coverage, such as urban resident, antenatal care, birth interval, postnatal care, husbands&#x2019; disapproval, mothers&#x2019; knowledge, place of delivery, information about VAS, presence of comorbidities, children age, media exposure, sex, time to reach health facilities, mothers educational, occupation, and fathers educational. However, in the pooled estimate, only nine variables were found to be significantly associated with VAS among children as shown below.</p>
<sec id="sec26">
<label>3.4.1</label>
<title>Antenatal care</title>
<p>Five studies (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref54">54</xref>) reported the association between VAS and Antenatal Care (ANC) of four or more visits. The pooled analysis revealed that children of mothers who had four and more ANC visits were nearly twice (OR&#x202F;=&#x202F;1.79, 95% CI: 1.59&#x2013;2.01) as likely to receive vitamin A compared with children of mothers with fewer than four ANC visits. There was no statistically significant heterogeneity among the included studies (<italic>I</italic><sup>2</sup> <italic>=</italic> 37.25, <italic>p</italic> =0.09) (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Forest plot showing the association between the factors (four and above antenatal care,and postnatal care), and the pooled vitamin A supplementation among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g007.tif"/>
</fig>
</sec>
<sec id="sec27">
<label>3.4.2</label>
<title>Postnatal care</title>
<p>Four studies (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref54">54</xref>) were included to assess the association between VAS and Postnatal Care (PNC). The random effects model revealed that mothers who received PNC were 1.43 times more likely to receive vitamin A for their children than those mothers who did not receive PNC (OR&#x202F;=&#x202F;1.43 (95% CI: 1.24&#x2013;1.66)). There was no variation among studies (<italic>I<sup>2</sup></italic> =&#x202F;0.00, <italic>p</italic>&#x202F;=&#x202F;0.69) (<xref ref-type="fig" rid="fig7">Figure 7</xref>).</p>
</sec>
<sec id="sec28">
<label>3.4.3</label>
<title>Delivery at a health facility</title>
<p>The pooled effect of delivery at a health facility on vitamin A supplementation was assessed using five studies (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref54">54</xref>). The pooled effect size revealed that children born in health facilities were 1.14 times more likely (OR&#x202F;=&#x202F;1.14, 95% CI: 1.02&#x2013;1.28) to receive vitamin A supplementation compared to those children born outside health facilities. There was no statistically significant variability among the studies (<italic>I</italic><sup>2</sup> =&#x202F;19.32%, <italic>p</italic>&#x202F;=&#x202F;0.27) (<xref ref-type="fig" rid="fig8">Figure 8</xref>).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Forest plot showing the association between delivery at health facility and vitamin A supplementation among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g008.tif"/>
</fig>
</sec>
<sec id="sec29">
<label>3.4.4</label>
<title>Parents media exposure</title>
<p>The association between parental media exposure and vitamin A supplementation (VAS) was reported in three studies (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref54">54</xref>). The pooled analysis indicated that parental media exposure increased the likelihood of children receiving vitamin A by 1.19 times [OR: 1.19 (95% CI; 1.08&#x2013;1.31)] compared to those whose parents were not exposed. There was no heterogeneity (<italic>I</italic><sup>2</sup> =&#x202F;0.00%, <italic>p</italic>&#x202F;=&#x202F;0.96) (<xref ref-type="fig" rid="fig9">Figure 9</xref>).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Forest plot showing the association between parents&#x2019; media exposure and vitamin A supplementation among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g009.tif"/>
</fig>
</sec>
<sec id="sec30">
<label>3.4.5</label>
<title>Time taken to reach health facilities</title>
<p>Two studies (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref47">47</xref>) reported the association between VAS and the time it takes to reach a health facility. The pooled result revealed that children/parents who reached the nearest health facility within 30&#x202F;min were twice as likely to receive vitamin A compared to those who took longer part [OR: 1.90, (95% CI: 1.11&#x2013;3.24)]. The random effects model revealed substantial heterogeneity between studies (<italic>I<sup>2</sup></italic> =&#x202F;92.83, <italic>p</italic> = &#x2212;0.00). Due to the small no of studies, we did not assess publication bias (<xref ref-type="fig" rid="fig10">Figure 10</xref>.)</p>
<fig position="float" id="fig10">
<label>Figure 10</label>
<caption>
<p>Forest plot showing the association between time taken to reach health facilities within 30&#x202F;min and VAS among children 6&#x2013;59&#x202F;months of age in Ethiopia.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g010.tif"/>
</fig>
</sec>
<sec id="sec31">
<label>3.4.6</label>
<title>Parents&#x2019; information about VAS</title>
<p>Four studies (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref45 ref46 ref47">45&#x2013;47</xref>) investigated the association between vitamin A supplementation (VAS) in Children and having parents&#x2019; information about VAS. The random effects model revealed that children whose parents had information about VAS were three times more likely to receive it than those whose parents lacked such information (OR&#x202F;=&#x202F;2.99; 95% CI: 1.72&#x2013;5.20). The pooled estimate showed significant heterogeneity (<italic>I</italic><sup>2</sup>&#x202F;=&#x202F;83.36, <italic>P=</italic>&#x2212; 0.00) (<xref ref-type="fig" rid="fig11">Figure 11</xref>).</p>
<fig position="float" id="fig11">
<label>Figure 11</label>
<caption>
<p>Forest plot showing the association between parents having information about vitamin A supplementation and vitamin A supplementation among children 6&#x2013;59&#x202F;months.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g011.tif"/>
</fig>
</sec>
<sec id="sec32">
<label>3.4.7</label>
<title>Maternal secondary educational level</title>
<p>To evaluate the effect of mothers&#x2019; secondary educational level on vitamin A supplementation in children, two studies (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref52">52</xref>) were included. The pooled effect size revealed that children of mothers with secondary educational levels were 1.32 times more likely to receive VAS compared to those children whose mothers were illiterate (OR&#x202F;=&#x202F;1.32; 95% CI: 1.07&#x2013;1.64). In this meta-analysis, there was no evidence of heterogeneity among studies (<italic>I<sup>2</sup></italic>&#x202F;=&#x202F;0.00, <italic>P</italic> = &#x2212;0.72) (<xref ref-type="fig" rid="fig12">Figure 12</xref>).</p>
<fig position="float" id="fig12">
<label>Figure 12</label>
<caption>
<p>Forest plot for depicting the association between maternal secondary educational level and educational level of above secondary school, and VAS among children 6&#x2013;59&#x202F;months.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g012.tif"/>
</fig>
</sec>
<sec id="sec33">
<label>3.4.8</label>
<title>Mothers&#x2019; education above secondary education</title>
<p>Two studies (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref55">55</xref>) assessed the association between vitamin A supplementation (VAS) and mothers&#x2019; education beyond secondary school. The pooled result depicted that, children of mothers with education above secondary school were more than twice as likely to receive VAS compared to their counterparts (OR&#x202F;=&#x202F;2.31; 95% CI: 1.30&#x2013;4.09). There was no statistically significant heterogeneity among the included studies (<italic>I<sup>2</sup></italic>&#x202F;=&#x202F;37.34, <italic>p</italic> = &#x2212;0.20) (<xref ref-type="fig" rid="fig12">Figure 12</xref>).</p>
</sec>
<sec id="sec34">
<label>3.4.9</label>
<title>Father&#x2019;s educational level</title>
<p>Three studies (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref55">55</xref>) were used to examine the association between fathers&#x2019; educational level and VAS coverage among children aged 6&#x2013;59&#x202F;months in Ethiopia. The meta-analysis results indicated that children whose fathers had an educational level above secondary school were twice as likely to receive VAS compared to children of illiterate fathers (OR&#x202F;=&#x202F;1.92; 95% CI: 1.13&#x2013;3.26). The heterogeneity test showed substantial heterogeneity (<italic>I<sup>2</sup></italic>&#x202F;=&#x202F;93.04, <italic>p =</italic> &#x2212;0.01) (<xref ref-type="fig" rid="fig13">Figure 13</xref>).</p>
<fig position="float" id="fig13">
<label>Figure 13</label>
<caption>
<p>Forest plot for depicting the association between fathers&#x2019; secondary educational level or above, and vitamin A supplementation among children 6&#x2013;59&#x202F;months.</p>
</caption>
<graphic xlink:href="fpubh-13-1496931-g013.tif"/>
</fig>
</sec>
<sec id="sec35">
<label>3.4.10</label>
<title>Summary of findings</title>
<p>In summary, the study identified several statistically significant associated factors of vitamin A Supplementation, including antenatal care, postnatal care, delivery in a health institution, parents&#x2019; media exposure, a travel time of 30&#x202F;min or less to reach the health facility, Parents having information about VAS, maternal secondary educational level, mother educational level above secondary school, fathers educational level above secondary school (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Summary of associated factors of vitamin A Supplementation among children aged 6&#x2013;59&#x202F;months in Ethiopia.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Associated factors</th>
<th align="center" valign="top" rowspan="2">No of studies</th>
<th align="center" valign="top" rowspan="2">PAOR (95% CI)</th>
<th align="center" valign="top" colspan="2">Heterogeneity test</th>
</tr>
<tr>
<th align="center" valign="top">I2</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Antenatal care</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">1.79 (1.59&#x2013;2.01)</td>
<td align="center" valign="top">37.25</td>
<td align="center" valign="top">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Post-natal care</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1,43 (1.24&#x2013;1.66)</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">0.69</td>
</tr>
<tr>
<td align="left" valign="top">Delivery in a health institution</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">1.14 (1.02&#x2013;1.28)</td>
<td align="center" valign="top">19.32</td>
<td align="center" valign="top">0.27</td>
</tr>
<tr>
<td align="left" valign="top">Parents media exposure</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1.19 (1.08&#x2013;1.31)</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">0.96</td>
</tr>
<tr>
<td align="left" valign="top">Time taken 30&#x202F;min to reach the health facility</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1.90 (1.11&#x2013;3.24)</td>
<td align="center" valign="top">92.83</td>
<td align="center" valign="top">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Parents having information about VAS</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2.99 (1.72&#x2013;5.20)</td>
<td align="center" valign="top">83.36</td>
<td align="center" valign="top">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Maternal secondary educational level</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1.32 (1.07&#x2013;1.64)</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">0.72</td>
</tr>
<tr>
<td align="left" valign="top">Mother&#x2019;s educational level above secondary education</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2.31 (1.31&#x2013;4.09)</td>
<td align="center" valign="top">37.34</td>
<td align="center" valign="top">0.20</td>
</tr>
<tr>
<td align="left" valign="top">Father&#x2019;s educational level above secondary education</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">1.92 (1.13&#x2013;3.26)</td>
<td align="center" valign="top">93.04</td>
<td align="center" valign="top">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>PAOR, pooled adjusted odds ratio.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec36">
<label>4</label>
<title>Discussion</title>
<p>This meta-analysis aimed to assess the coverage of vitamin A supplementation and its associated factors among children 6&#x2013;59&#x202F;months of age in Ethiopia. The pooled coverage of vitamin A supplementation was found to be 54.88% (95% CI: 47.34&#x2013;62.42). The current study finding was consistent with studies conducted in Tanzania (53.18%) (<xref ref-type="bibr" rid="ref18">18</xref>), India (60.5%) (<xref ref-type="bibr" rid="ref20">20</xref>), East and South Africa (57%) (<xref ref-type="bibr" rid="ref12">12</xref>), and Sub-Saharan African countries (56.3%) (<xref ref-type="bibr" rid="ref13">13</xref>). The similarity in findings may be attributed to comparable socio-demographic and economic characteristics of the study participants, study settings, and maternal and child health care services.</p>
<p>In contrast, the finding of this study was higher than those reported in Mozambique (42.8%), Senegal (46.1%), Cambodia (42.8%) (<xref ref-type="bibr" rid="ref19">19</xref>), and Brazil (41.5%) (<xref ref-type="bibr" rid="ref21">21</xref>). However, it was lower than studies conducted in West and Central Africa (71%) (<xref ref-type="bibr" rid="ref12">12</xref>), Sierra Leone (86.9%) (<xref ref-type="bibr" rid="ref14">14</xref>), Guinea (68%) (<xref ref-type="bibr" rid="ref15">15</xref>), Mali (80%) (<xref ref-type="bibr" rid="ref16">16</xref>), and South Asia (62%) (<xref ref-type="bibr" rid="ref12">12</xref>). This disparity could be attributed to differences in the methods of vitamin A supplementation (VAS). In these counties, VAS is provided not only through routine immunization programs but also through the annual VAS campaign and national immunization day. As a result, children in these countries have better access to VAS compared to those in Ethiopia, where it is primarily distributed through the routine immunization program. Another contributing factor could be the intensive outreach efforts in those countries, which effectively target disadvantaged and older children who may fall outside the routine immunization schedule.</p>
<p>Additionally, these countries may have better infrastructures, such as well-developed roads and nearby health facilities, which makes VAS more accessible. In contrast, in Ethiopia, inadequate infrastructure, particularly in rural and remote areas, hinders access to vitamin A, which contributes to these disparities (<xref ref-type="bibr" rid="ref56">56</xref>).</p>
<p>In this study, a sub-group analysis was conducted based on the Children&#x2019;s age group to identify the possible source of heterogeneity. The lowest VAS coverage [43.71%% (95% CI: 42.71&#x2013;45.14)], was found among children 6&#x2013;35&#x202F;months of age. This may be due to the parents&#x2019; perception that children in this age group receive enough nutrition, including vitamin A, through breast milk. Additionally, parents may be more aware of the benefit of vitamin A for older children, leading to less proactive supplementation efforts for children aged 6&#x2013;35&#x202F;months. To improve VAS coverage in this age group, targeted outreach supplementation, raising caregiver awareness, and integration of health services are significantly necessary and need to be prioritized (<xref ref-type="bibr" rid="ref57">57</xref>).</p>
<p>This study also examined the associated factors of VAS. This study finding revealed that children whose mothers had attended four or more ANC visits were twice as likely to receive VAS. This study finding was aligned with studies conducted in Nigeria (<xref ref-type="bibr" rid="ref17">17</xref>), and Tanzania (<xref ref-type="bibr" rid="ref18">18</xref>). A possible explanation is that mothers who had ANC visits receive information about child vaccinations and the nutritional importance of vitamin A. As a result, they are more likely to take their children to health facilities and campaign sites for supplementation (<xref ref-type="bibr" rid="ref58">58</xref>). This study also found that being able to reach a health facility within 30&#x202F;min was an important factor associated with vitamin A supplementation in children. Similar findings have been reported in Kenya (<xref ref-type="bibr" rid="ref59">59</xref>), and Malawi (<xref ref-type="bibr" rid="ref60">60</xref>). One reason could be that as the distance or travel time increases, parents may be less inclined to make the journey to obtain vitamin A for their children. Another reason could be that the cost and time required for transportation place a significant burden on families, especially those living in poverty (<xref ref-type="bibr" rid="ref61">61</xref>). Furthermore, underdeveloped and poor road infrastructures, particularly, in rural areas, affect access to health facilities and routine services (<xref ref-type="bibr" rid="ref62">62</xref>).</p>
<p>The current study identified Postnatal Care (PNC), as a determinant of vitamin A supplementation in children. This finding is supported by a systematic review and meta-analysis conducted in Asia and Africa (<xref ref-type="bibr" rid="ref63">63</xref>). One possible reason is that during postnatal visits, healthcare workers educate caregivers on the importance of vitamin A supplementation for child health, growth, and development (<xref ref-type="bibr" rid="ref64">64</xref>). Additionally, PNC offers an opportunity for growth monitoring and assessment of children&#x2019;s nutritional status (<xref ref-type="bibr" rid="ref65">65</xref>), facilitating the early detection of vitamin A deficiency and the timely provision of high-dose vitamin A supplementation to address the deficiency.</p>
<p>Delivery in a health facility was another significant factor influencing VAS for children in this study. Congruent findings were reported in Nigeria (<xref ref-type="bibr" rid="ref17">17</xref>), and Tanzania (<xref ref-type="bibr" rid="ref18">18</xref>). This can be attributed to the fact that newborns delivered in health facilities are linked to routine immunization and other child health services, such as growth monitoring, which helps to create a follow-up visit. Consequently, these children are more likely to receive subsequent doses of vitamin A supplements at the appropriate ages and intervals. Another possible reason is that health facilities collaborate with health extension workers to improve child immunization coverage. They organize outreach immunization campaigns, including vitamin A supplementation for children 6&#x2013;59&#x202F;months, which increases the likelihood of children receiving vitamin A supplementation, even if they miss a dose at the health facility (<xref ref-type="bibr" rid="ref66">66</xref>). In agreement with studies from Sub-Saharan Africa (<xref ref-type="bibr" rid="ref22">22</xref>), Mali (<xref ref-type="bibr" rid="ref16">16</xref>), Tanzania (<xref ref-type="bibr" rid="ref18">18</xref>), Bangladesh (<xref ref-type="bibr" rid="ref25">25</xref>), and other Low and Middle-Income Countries (LIMIC) (<xref ref-type="bibr" rid="ref26">26</xref>), this study also found that parents/caregivers media exposure was a significant factor in children vitamin A supplementation. This is because media exposure educates the parents/caregivers about the importance of immunization in protecting against communicable diseases. Another possible reason is that the media provides up-to-date information about vitamin A, its role in disease prevention, and its dietary sources, helping to raise awareness and dispel common myths and fears within the community (<xref ref-type="bibr" rid="ref67">67</xref>). Additionally, media interviews with health professional can also provide authoritative and timely responses to the parents&#x2019; questions. Furthermore, social media platforms can highlight the risks of not vaccinating and provide evidence-based information, which encourages parents to take actions (<xref ref-type="bibr" rid="ref68">68</xref>).</p>
<p>This study further showed that children whose parents had information about VAS were three times more likely to receive it. This finding aligns with studies conducted in Kenya (<xref ref-type="bibr" rid="ref28">28</xref>), and Sub-Saharan African countries (<xref ref-type="bibr" rid="ref30">30</xref>). A likely explanation is that parents who are informed about vitamin A&#x2019;s role in preventing night blindness and overall health are more aware, and proactive in seeking vitamin A supplementation for their children. Hence this finding suggests that strengthening the VAS program through clear information and good communication can increase parents&#x2019; health-seeking behavior and improve VAS utilization (<xref ref-type="bibr" rid="ref69">69</xref>).</p>
<p>Mothers&#x2019; secondary education was a significant determinant for supplementing vitamin A in Children. A consistent finding was reported from Nigeria (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref21">21</xref>), Bangladesh (<xref ref-type="bibr" rid="ref25">25</xref>), and Cambodia (<xref ref-type="bibr" rid="ref19">19</xref>). Additionally, maternal education above secondary school is also associated with vitamin A supplementation. This is consistent with studies from Kenya (<xref ref-type="bibr" rid="ref28">28</xref>), Sub-Saharan Africa (<xref ref-type="bibr" rid="ref23">23</xref>), and India (<xref ref-type="bibr" rid="ref29">29</xref>). This may be because educated mothers have a better understanding of health and nutrition including the role of vitamin A in preventing night blindness. Another reason could be that educated mothers are more proactive in seeking healthcare services and information for their children. They are more likely to take their children for regular check-ups and ensure they receive the recommended vitamin A supplements at the appropriate times (<xref ref-type="bibr" rid="ref70">70</xref>). In addition, to the reasons, aforementioned earlier, educated mothers share information about the importance of VAS through social media and peers, participate in community-based health programs, and have a strong voice in household decisions, which creates a supportive environment for VAS (<xref ref-type="bibr" rid="ref71">71</xref>).</p>
<p>This study also found that fathers&#x2019; education had a significant association with VAS in Children. This finding is consistent with similar studies conducted in Bangladesh (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref27">27</xref>), and Mali (<xref ref-type="bibr" rid="ref16">16</xref>). A possible reason could be fathers with higher educational levels are more likely to understand the value of health services like VAS and make decisions to ensure their children receive VAS (<xref ref-type="bibr" rid="ref72">72</xref>). Another possible reason is that educated fathers tend to have better health-seeking behaviors and emphasize the importance of preventive health practices like VAS to the mother and caregiver, which creates an opportunity for their children to receive supplementation (<xref ref-type="bibr" rid="ref73">73</xref>).</p>
</sec>
<sec id="sec37">
<label>5</label>
<title>Strengths and limitations</title>
<p>This is the first review that showed the pooled coverage of vitamin A supplementation and factors associated with it at the national level. However, all of the included studies were cross-sectional studies, by nature which may not show real temporal relationships between outcome and independent variables. Additionally, certain factors like the wealth index of the family and maternal age were not assessed, because the primary studies categorized these variables inconsistently.</p>
</sec>
<sec id="sec38">
<label>6</label>
<title>Conclusion and recommendations</title>
<p>In Ethiopia, the vitamin A supplementation coverage is significantly lower than both the WHO recommendation of 80% and the national target of 95%. Antenatal care, postnatal care, delivery in health facilities, Parents&#x2019; media exposure, time to reach health facilities (less than 30&#x202F;min), maternal secondary educational level or above, and father&#x2019;s education above secondary school were significantly associated factors that increase the likelihood of vitamin A supplementation.</p>
<p>Hence, the National nutritional program and expanded program of immunization stakeholders better to increase awareness of the community about VAS and other routine immunizations, particularly for parents/caregivers with low educational status, and no antenatal and postnatal care through social media and other community meetings. Additionally, like other Sub-Saharan African countries, Ethiopia&#x2019;s EPI program should strengthen the outreach supplementation programs, such as door-to-door distribution to address the losses of older children and socio-economically disadvantaged populations in remote and rural areas.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec39">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec40">
<title>Author contributions</title>
<p>WW: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing &#x2013; original draft, Resources. AZ: Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. GG: Methodology, Supervision, Visualization, Writing &#x2013; review &#x0026; editing. GL: Formal analysis, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. EG: Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; review &#x0026; editing. BM: Investigation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. AS: Investigation, Methodology, Validation, Visualization, Writing &#x2013; review &#x0026; editing. AC: Writing &#x2013; review &#x0026; editing, Methodology, Project administration, Visualization. GK: Formal analysis, Methodology, Visualization, Writing &#x2013; review &#x0026; editing. AY: Methodology, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing. GM: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Supervision, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec41">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<p>We would like to acknowledge the study participants and authors of the primary studies included in this systematic review and meta-analysis.</p>
</ack>
<sec sec-type="COI-statement" id="sec42">
<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="ai-statement" id="sec43">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec44">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec45">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1496931/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1496931/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementary_file_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.DOCX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>ANC, Antenatal Care; PAOR, Pooled Adjusted odds Ratio; CI, Confidence Interval; LMIC, Low and Middle-Income Countries; PNC, Postnatal Care; SSA, Sub-Saharan Africa; VAD, vitamin A deficiency; VAS, vitamin A supplementation; WHO, World Health Organization.</p>
</fn>
</fn-group>
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