March 3, 2020 Journal article Open Access

Biruk Beletew; Ayelign Mengesha; Mesfin Wudu; Melese Abate

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        <foaf:name>Biruk Beletew</foaf:name>
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        <foaf:name>Ayelign Mengesha</foaf:name>
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        <foaf:name>Mesfin Wudu</foaf:name>
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        <foaf:name>Melese Abate</foaf:name>
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            <foaf:name>Woldia University</foaf:name>
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    <dct:title>Prevalence of neonatal hypothermia and its associated factors in East Africa: a systematic review and meta-analysis</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
    <dcat:keyword>Neonates, Hypothermia, Determinants, Eastern Africa, Meta-analysis</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-03-03</dct:issued>
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    <dct:description>&lt;p&gt;&lt;strong&gt;Abstract &lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;: Neonatal hypothermia is a global health problem and a major factor for neonatal morbidity and mortality, especially in low and middle-income countries. Therefore, this systematic review and meta-analysis aimed to assess the prevalence of neonatal hypothermia and its associated factors in Eastern Africa.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; We used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines to search electronic databases (PubMed, Cochrane Library and Google Scholar; date of last search: 15 October 2019) for studies reporting the prevalence and associated factors of neonatal hypothermia. The data was extracted in the excel sheet considering prevalence, and categories of associated factors reported. A weighted inverse variance random-effects model was used to estimate the magnitude and the effect size of factors associated with hypothermia. The subgroup analysis was done by country, year of publication, and study design.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 12 potential studies with 20,911 participants were used for the analysis. The pooled prevalence of neonatal hypothermia in East Africa was found to be 57.2% (95%CI; 39.5&amp;ndash;75.0). Delay in initiation of breastfeeding (adjusted Odds Ratio(aOR) = 2.83; 95% CI: 1.40&amp;ndash;4.26), having neonatal health problem (aOR = 2.68; 95% CI: 1.21&amp;ndash;4.15), being low birth weight (aOR =2.16; 95%CI: 1.03&amp;ndash;3.29), being preterm(aOR = 4.01; 95%CI: 3.02&amp;ndash;5.00), and nighttime delivery (aOR = 4.01; 95% CI:3.02&amp;ndash;5.00) were identified associated factors which significantly raises the risk of neonatal hypothermia.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Conclusions:&lt;/strong&gt; The prevalence of neonatal hypothermia in Eastern Africa remains high. Delay in initiation of breastfeeding, having a neonatal health problem, being low birth weight, preterm, and nighttime delivery were identified associated factors that significantly raises the risk of neonatal hypothermia.&lt;/p&gt;</dct:description>
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