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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0"><Article><Journal><PublisherName>ajhe</PublisherName><JournalTitle>African Journal of Health Economics</JournalTitle><PISSN>C</PISSN><EISSN>o</EISSN><Volume-Issue>Volume 7 issue 2</Volume-Issue><IssueTopic>Multidisciplinary</IssueTopic><IssueLanguage>English</IssueLanguage><Season>December 2018</Season><SpecialIssue>N</SpecialIssue><SupplementaryIssue>N</SupplementaryIssue><IssueOA>Y</IssueOA><PubDate><Year>-0001</Year><Month>11</Month><Day>30</Day></PubDate><ArticleType>Review &amp; Research  </ArticleType><ArticleTitle>AN APPLICATION OF HIERARCHICAL LOGISTIC MODELLING TO MATERNAL HEALTHCARE UTILIZATION IN NIGERIA&#13;
</ArticleTitle><SubTitle/><ArticleLanguage>English</ArticleLanguage><ArticleOA>Y</ArticleOA><FirstPage>10</FirstPage><LastPage>19</LastPage><AuthorList><Author><FirstName>Akarawak Eno Emmanuella*</FirstName><LastName>Ogunniran</LastName><AuthorLanguage>English</AuthorLanguage><Affiliation/><CorrespondingAuthor>N</CorrespondingAuthor><ORCID/><FirstName>Ademola</FirstName><LastName>John</LastName><AuthorLanguage>English</AuthorLanguage><Affiliation/><CorrespondingAuthor>Y</CorrespondingAuthor><ORCID/></Author></AuthorList><DOI>http://doi.org/10.35202/AJHE.2018.7200916 </DOI><Abstract>Background: With a maternal mortality rate of 576 deaths per 100,000 live births, Nigeria accounts for about 10% of all maternal deaths, globally, and has the second highest mortality rate in the world. This high mortality rate makes maternal health a huge public health problem in the country. This paper, therefore, aimed at investigating socio-demographic factors affecting the utilization of Maternal Health Care (MHC) in the context of hierarchical modelling.&#13;
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Methods: Data were extracted from the Nigerian Demographic and Health Survey, 2013. The data have a hierarchical structure, with the 20,116 Ever-Married Women nested within their respective states of residence. Three different hierarchical logistic regression models were formulated to allow for comparison of outcomes between clusters.&#13;
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Findings: A proportion of opposed odds ratio of 0.45 indicate that in 45% of pair-wise comparisons between the urban and rural residence, the odds of MHC utilization was higher at an urban residence than at a rural residence by 1.388 times. The Median Odds Ratio (MOR) for Model 2 indicated the odds of MHC utilization was less than 2.41 for a woman in a state at higher risk compared to a different woman in a state at lower risk. The intra-class correlation coefficient revealed a 40% (Model 1), 21% (Model 2) and 16% (Model 3) chances of utilizing MHC, explained by between-states differences, respectively.&#13;
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Conclusion: In order to close the variation in healthcare delivery in Nigeria, there is a need for government to execute state-specific interventions that would allow fair distribution and utilization of MHC.</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Maternal mortality, Maternal Health Care Services, hierarchical modelling, socio-demographic factors, healthcare utilization</Keywords><URLs><Abstract>https://ajhe.org.in/admin/abstract?id=6284</Abstract></URLs><References><ReferencesarticleTitle>References</ReferencesarticleTitle><ReferencesfirstPage>16</ReferencesfirstPage><ReferenceslastPage>19</ReferenceslastPage><References>Nigerian Demographic Health Survey: Individual Recode Documentation. 2013&#13;
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