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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Glob. Womens Health</journal-id>
<journal-title>Frontiers in Global Women's Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Glob. Womens Health</abbrev-journal-title>
<issn pub-type="epub">2673-5059</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgwh.2024.1507224</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Global Women's Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quality intrapartum care and associated factors in East Africa: multilevel analysis of recent demographic and health survey</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Gebrehana</surname><given-names>Alemayehu Kasu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2856862/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Asnake</surname><given-names>Angwach Abrham</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2720292/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Seifu</surname><given-names>Beminate Lemma</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2360951/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Fente</surname><given-names>Bezawit Melak</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2337769/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Melkam</surname><given-names>Mamaru</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1749775/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Bezie</surname><given-names>Meklit Melaku</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2685643/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Asmare</surname><given-names>Zufan Alamrie</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2641299/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Tsega</surname><given-names>Sintayehu Simie</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1976230/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Negussie</surname><given-names>Yohannes Mekuria</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2094607/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Asebe</surname><given-names>Hiwot Altaye</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2363405/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Midwifery, College of Health Science, Salale University</institution>, <addr-line>Fitche</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University</institution>, <addr-line>Wolaita Sodo</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Public Health, College of Medicine and Health Sciences, Samara University</institution>, <addr-line>Samara</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of General Midwifery, School of Midwifery, College of Medicine &#x0026; Health Sciences, University of Gondar</institution>, <addr-line>Gondar</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Department of Psychiatry, College of Medicine and Health Science, University of Gondar</institution>, <addr-line>Gondar</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>Department of Public Health Officer, 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="aff7"><label><sup>7</sup></label><institution>Department of Ophthalmology, School of Medicine and Health Science, Debre Tabor University</institution>, <addr-line>Debre Tabor</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff8"><label><sup>8</sup></label><institution>Department of Medical 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="aff9"><label><sup>9</sup></label><institution>Department of Medicine, Adama General Hospital and Medical College</institution>, <addr-line>Adama</addr-line>, <country>Ethiopia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Grant Murewanhema, University of Zimbabwe, Zimbabwe</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Mulualem Silesh, Debre Berhan University, Ethiopia</p>
<p>Ellen Kitson-Reynolds, University of Southampton, United Kingdom</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Alemayehu Kasu Gebrehana <email>alemayehukasu3@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>17</day><month>12</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>5</volume><elocation-id>1507224</elocation-id>
<history>
<date date-type="received"><day>07</day><month>10</month><year>2024</year></date>
<date date-type="accepted"><day>05</day><month>12</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Gebrehana, Asnake, Seifu, Fente, Melkam, Bezie, Asmare, Tsega, Negussie and Asebe.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Gebrehana, Asnake, Seifu, Fente, Melkam, Bezie, Asmare, Tsega, Negussie and Asebe</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>The time during labor and delivery is crucial for the survival of both women and their infants, as complications that occur during this period can significantly increase the risk of morbidity and mortality. In developing nations, women of reproductive age and their infants are still at risk of morbidity and death from complications associated with pregnancy and childbirth. Morbidity and death from complications of pregnancy and childbirth can be prevented through the utilization of quality care during labor and delivery. However, there is limited evidence on the magnitude and factors associated with quality intrapartum care in East Africa. Therefore, this study assessed the magnitude and associated factors of quality intrapartum care among women in East Africa.</p>
</sec><sec><title>Methods</title>
<p>In this study, we used the most recent Demographic and Health Survey (DHS) dataset from 2015 to 2023, covering 11 East African countries. STATA version 18 software was used for data analysis. Multi-level modeling was applied due to the hierarchical or nested structure of DHS data. Variables with a <italic>p</italic>-value of less than 0.25 in the bivariate multi-level logistic regression model were included in the multivariable multi-level logistic regression analysis. Variables with <italic>p</italic>-values less than 0.05 were considered significant factors associated with receiving quality intrapartum care.</p>
</sec><sec><title>Results</title>
<p>The prevalence of receiving quality intrapartum care in East Africa was 56.38&#x0025; [95&#x0025; confidence interval (CI): 56.03, 56.7]. Women with primary education [Adjusted Odds Ratio (AOR)&#x2009;&#x003D;&#x2009;1.39, 95&#x0025; CI: 1.33, 1.46], secondary education (AOR&#x2009;&#x003D;&#x2009;1.62, 95&#x0025; CI: 1.53, 1.62), and higher education (AOR&#x2009;&#x003D;&#x2009;1.46, 95&#x0025; CI: 1.33, 1.60), those in the middle (AOR&#x2009;&#x003D;&#x2009;1.28, 95&#x0025; CI: 1.23, 1.34) and rich (AOR&#x2009;&#x003D;&#x2009;1.36, 95&#x0025; CI: 1.31, 1.43) wealth index categories, women with one (AOR&#x2009;&#x003D;&#x2009;1.17, 95&#x0025; CI: 1.09, 1.25) or 2&#x2013;4 (AOR&#x2009;&#x003D;&#x2009;1.22, 95&#x0025; CI: 1.16, 1.28) living children, those who perceived the distance from the health facility as not a big problem (AOR&#x2009;&#x003D;&#x2009;1.28, 95&#x0025; CI: 1.24, 1.33), and women living in Rwanda (AOR&#x2009;&#x003D;&#x2009;1.30, 95&#x0025; CI: 1.19, 1.41) had higher odds of receiving quality intrapartum care. Residing in rural areas (AOR&#x2009;&#x003D;&#x2009;0.82, 95&#x0025; CI: 0.78, 0.86), and being from Ethiopia, Kenya, Madagascar, Malawi, Mozambique, Tanzania, Uganda, Zambia, or Zimbabwe, were factors negatively associated with receiving quality intrapartum care.</p>
</sec><sec><title>Conclusion and recommendations</title>
<p>Nearly half of the women in East African countries did not receive quality intrapartum care. Both individual and community-level variables were significantly associated with receiving quality intrapartum care in East Africa. Improving the quality of intrapartum care requires enhancing women&#x0027;s education, addressing socioeconomic challenges, and increasing access to health facilities through targeted interventions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>quality</kwd>
<kwd>intrapartum care</kwd>
<kwd>associated factors</kwd>
<kwd>East Africa</kwd>
<kwd>multilevel analysis</kwd>
<kwd>demographic and health survey</kwd>
</kwd-group><counts>
<fig-count count="2"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="38"/><page-count count="8"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Maternal Health</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="background"><title>Background</title>
<p>Intrapartum care refers to the comprehensive support given to women and their fetuses or newborns throughout the entire process of labor and birth, encompassing the first, second, and third stages of labor, as well as the immediate care provided to both the newborn and the mother following delivery (<xref ref-type="bibr" rid="B1">1</xref>). The time during labor and delivery is crucial for the survival of both women and their infants, as complications that occur during this period can significantly increase the risk of morbidity and mortality. The well-being of both the mother and child is influenced by the quality of care the woman receives during labor and childbirth.</p>
<p>In developing nations, women of reproductive age and their infants remain at risk of morbidity and death from complications associated with pregnancy and childbirth (<xref ref-type="bibr" rid="B2">2</xref>). According to a World Health Organization (WHO) estimate in 2020, an estimated 287,000 women died from maternal causes worldwide, with a global maternal mortality ratio (MMR) of 223 deaths per 100,000 live births. Sub-Saharan Africa (SSA) had the highest MMR at 545, accounting for 70&#x0025; of global maternal deaths, with Western, Middle, and Eastern Africa being the regions with the highest maternal mortality rates in the world (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>According to a WHO report, globally, 47&#x0025; of all deaths in children under five years of age occurred during the neonatal period (the first 28 days of life). In 2022, approximately 2.3 million newborns died, with SSA accounting for 57&#x0025; of total under-five deaths and having the highest neonatal mortality rate in the world, at 27 deaths per 1,000 live births (<xref ref-type="bibr" rid="B4">4</xref>). This makes the neonatal period one of the most vulnerable stages of life and highlights the need for quality intrapartum and neonatal care.</p>
<p>Despite its importance and the fact that most causes of maternal and neonatal mortality are preventable through quality intrapartum care (including skilled birth attendants at delivery, institutional delivery, and early newborn care), the quality of intrapartum care remains low in SSA (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Studies have shown that factors such as a woman&#x0027;s age, level of education, marital status, wealth index, place of residence, country of residence, media exposure, number of living children, number of Antenatal Care (ANC) visits, and distance from health facilities are associated with the quality of intrapartum care (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Although studies have been conducted in some East African countries to determine the prevalence of quality intrapartum care, they have been limited to small geographical areas and have not been conclusive. Therefore, this study aims to assess the prevalence of quality intrapartum care and its associated factors in East African countries using nationally representative data from each country. The findings of this study will be valuable for planners, policymakers, non-governmental organizations (NGOs), and researchers in identifying factors related to quality intrapartum care, enabling them to implement suitable interventions and improve the quality of intrapartum care.</p>
</sec>
<sec id="s2"><title>Method</title>
<sec id="s2a"><title>Study design, setting, data source, population, and sampling procedures</title>
<p>The recent Demographic and Health Survey (DHS) dataset from 2015 to 2023, which includes 11 East African countries (Burundi, Ethiopia, Kenya, Madagascar, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe), was used in this study. DHS is conducted by the United States Agency for International Development (USAID) through its DHS Program. The survey collects and analyzes data on population, health, and nutrition in developing countries and provides data on a variety of topics, including fertility, family planning, maternal and child health, gender, HIV/AIDS, and other health-related issues. After it was requested, the data was downloaded from the DHS website (<ext-link ext-link-type="uri" xlink:href="https://dhsprogram.com/">https://dhsprogram.com/</ext-link>). The source population was all women who gave birth within two years preceding the survey in all 11 East African countries. The study population was all women who gave birth within two years preceding the survey in all 11 East African countries in selected enumeration areas. The datasets from individual countries were appended to determine the magnitude and factors associated with uptake of quality intrapartum care in 11 East African countries. In DHS, a two-stage stratified sampling procedure was used to select the study participants. Our study included a weighted sample of 80,615 women who gave birth within two years preceding the survey.</p>
</sec>
<sec id="s2b"><title>Outcome variable</title>
<p>The dependent variable for this study was quality intrapartum care. This variable was generated from a combination of three variables, which include health facility delivery, skilled birth assistant at delivery, and breastfeeding initiation within 1&#x2005;h (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Skilled birth attendants are healthcare professionals who attend deliveries, including doctors, nurses, midwives, auxiliary midwives, health officers, and health extension workers. Traditional birth attendants, traditional health volunteers, community health volunteers, neighbors, friends, relatives, and others are not considered skilled birth attendants (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Women who reported delivering with the assistance of a skilled birth attendant, delivering at a healthcare facility, and having their newborns initiate breastfeeding within one hour of delivery were considered to have received quality intrapartum care (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2c"><title>Explanatory variables</title>
<p>Both individual and community-level variables were included in this study following a review of the literature relevant to our study. Community-level variables include residence, distance from health facility, and country of residence. Individual-level variables include age group, women&#x0027;s level of education, partner&#x0027;s level of education, marital status, wealth index, family size, media exposure, number of living children, number of ANC visits, and mode of delivery.</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>For data analysis, STATA version 18 software was used. Before analysis, sample weighting was applied. To account for the hierarchical or nested structure of DHS data, multi-level modeling was used. Variables with a <italic>p</italic>-value of less than 0.25 in the bivariate multi-level logistic regression model were included in the multivariable multi-level logistic regression. Variables with <italic>p</italic>-values less than 0.05 were considered significant factors associated with receiving quality intrapartum care.</p>
</sec>
</sec>
<sec id="s3"><title>Ethical considerations</title>
<p>Permission to access the dataset was obtained from the DHS website (<ext-link ext-link-type="uri" xlink:href="https://dhsprogram.com/">https://dhsprogram.com/</ext-link>). Since this study involved secondary data analysis using publicly available survey data from the DHS program, ethical approval and participant consent were not required. The data files do not contain any personal identifiers, such as individual names or household addresses.</p>
</sec>
<sec id="s4" sec-type="results"><title>Results</title>
<sec id="s4a"><title>Characteristics of the respondents</title>
<p>From the weighted sample of 80,615, about a quarter (25.06&#x0025;) of the respondents were in the age group of 20&#x2013;24 years. Almost half (49.77&#x0025;) of the women had attained primary education. The vast majority, 71,692 (88.93&#x0025;), of the women were married. More than half (52.10&#x0025;) of the respondents had no media exposure (had neither a television nor a radio). About 35,087 (43.52&#x0025;) of the women were in the poor wealth index category. Regarding the mode of delivery, 5,660 (7.04&#x0025;) of the respondents delivered by cesarean section. More than half, 43,926 (55.56&#x0025;), of the women had four or more ANC visits during pregnancy. More than three-fourths, 63,241 (78.45&#x0025;), of the women were rural residents, and about 48,326 (59.95&#x0025;) reported that the distance to a health facility was not a big problem (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Characteristics of women who gave birth within two years preceding the survey in East Africa (weighted <italic>n</italic>&#x2009;&#x003D;&#x2009;80,615).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Frequency</th>
<th valign="top" align="center">Percent (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3">Socio-demographic characteristics</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Age (in years)</td>
</tr>
<tr>
<td valign="top" align="left">15&#x2013;19</td>
<td valign="top" align="center">6,198</td>
<td valign="top" align="center">7.69</td>
</tr>
<tr>
<td valign="top" align="left">20&#x2013;24</td>
<td valign="top" align="center">20,206</td>
<td valign="top" align="center">25.06</td>
</tr>
<tr>
<td valign="top" align="left">25&#x2013;29</td>
<td valign="top" align="center">20,041</td>
<td valign="top" align="center">24.86</td>
</tr>
<tr>
<td valign="top" align="left">30&#x2013;34</td>
<td valign="top" align="center">16,025</td>
<td valign="top" align="center">19.88</td>
</tr>
<tr>
<td valign="top" align="left">35&#x2013;39</td>
<td valign="top" align="center">11,145</td>
<td valign="top" align="center">13.82</td>
</tr>
<tr>
<td valign="top" align="left">40&#x2013;44</td>
<td valign="top" align="center">5,323</td>
<td valign="top" align="center">6.60</td>
</tr>
<tr>
<td valign="top" align="left">45&#x2013;49</td>
<td valign="top" align="center">1,677</td>
<td valign="top" align="center">2.08</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Level of education</td>
</tr>
<tr>
<td valign="top" align="left">No education</td>
<td valign="top" align="center">17,374</td>
<td valign="top" align="center">21.55</td>
</tr>
<tr>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">40,123</td>
<td valign="top" align="center">49.77</td>
</tr>
<tr>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">19,973</td>
<td valign="top" align="center">24.78</td>
</tr>
<tr>
<td valign="top" align="left">Higher</td>
<td valign="top" align="center">3,145</td>
<td valign="top" align="center">3.90</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Marital status</td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">5,230</td>
<td valign="top" align="center">6.49</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">71,692</td>
<td valign="top" align="center">88.93</td>
</tr>
<tr>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">1,208</td>
<td valign="top" align="center">1.50</td>
</tr>
<tr>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">2,485</td>
<td valign="top" align="center">3.08</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Wealth index</td>
</tr>
<tr>
<td valign="top" align="left">Poor</td>
<td valign="top" align="center">35,087</td>
<td valign="top" align="center">43.52</td>
</tr>
<tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">15,601</td>
<td valign="top" align="center">19.35</td>
</tr>
<tr>
<td valign="top" align="left">Rich</td>
<td valign="top" align="center">29,927</td>
<td valign="top" align="center">37.12</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Child, pregnancy and health facility-related variables</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Sex of the child</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">40,832</td>
<td valign="top" align="center">50.65</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">39,783</td>
<td valign="top" align="center">49.35</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Number of living children</td>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">489</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">One</td>
<td valign="top" align="center">19,406</td>
<td valign="top" align="center">24.07</td>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;4</td>
<td valign="top" align="center">41,967</td>
<td valign="top" align="center">52.06</td>
</tr>
<tr>
<td valign="top" align="left">Five and above</td>
<td valign="top" align="center">18,753</td>
<td valign="top" align="center">23.26</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Community level variables</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Place of residence</td>
</tr>
<tr>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">17,374</td>
<td valign="top" align="center">21.55</td>
</tr>
<tr>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">63,241</td>
<td valign="top" align="center">78.45</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Distance from health facility</td>
</tr>
<tr>
<td valign="top" align="left">Big problem</td>
<td valign="top" align="center">32,289</td>
<td valign="top" align="center">40.05</td>
</tr>
<tr>
<td valign="top" align="left">Not a big problem</td>
<td valign="top" align="center">48,326</td>
<td valign="top" align="center">59.95</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Country of residence</td>
</tr>
<tr>
<td valign="top" align="left">Burundi</td>
<td valign="top" align="center">8,374</td>
<td valign="top" align="center">10.39</td>
</tr>
<tr>
<td valign="top" align="left">Ethiopia</td>
<td valign="top" align="center">7,076</td>
<td valign="top" align="center">8.78</td>
</tr>
<tr>
<td valign="top" align="left">Kenya</td>
<td valign="top" align="center">4,883</td>
<td valign="top" align="center">6.06</td>
</tr>
<tr>
<td valign="top" align="left">Madagascar</td>
<td valign="top" align="center">8,776</td>
<td valign="top" align="center">10.89</td>
</tr>
<tr>
<td valign="top" align="left">Malawi</td>
<td valign="top" align="center">12,946</td>
<td valign="top" align="center">16.06</td>
</tr>
<tr>
<td valign="top" align="left">Mozambique</td>
<td valign="top" align="center">5,331</td>
<td valign="top" align="center">6.61</td>
</tr>
<tr>
<td valign="top" align="left">Rwanda</td>
<td valign="top" align="center">6,131</td>
<td valign="top" align="center">7.61</td>
</tr>
<tr>
<td valign="top" align="left">Tanzania</td>
<td valign="top" align="center">5,685</td>
<td valign="top" align="center">7.05</td>
</tr>
<tr>
<td valign="top" align="left">Uganda</td>
<td valign="top" align="center">9,687</td>
<td valign="top" align="center">12.02</td>
</tr>
<tr>
<td valign="top" align="left">Zambia</td>
<td valign="top" align="center">7,030</td>
<td valign="top" align="center">8.72</td>
</tr>
<tr>
<td valign="top" align="left">Zimbabwe</td>
<td valign="top" align="center">4,696</td>
<td valign="top" align="center">5.82</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4b"><title>Prevalence of quality intrapartum care uptake</title>
<p>The prevalence of women receiving quality intrapartum care in East Africa was 56.38&#x0025; (95&#x0025; CI: 56.03, 56.7) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). The highest prevalence of quality intrapartum care was in Malawi (20.51&#x0025;), while the lowest was in Madagascar (4.92&#x0025;). About three-fourths (75.61&#x0025;) of women had institutional deliveries, 76.71&#x0025; had skilled birth attendants at delivery, and 74.09&#x0025; initiated breastfeeding within one hour of delivery (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). More than half (51.98&#x0025;) of women who attained primary education received quality intrapartum care. About 41.40&#x0025; of women who received quality intrapartum care were in the rich wealth index category. Nearly one-fourth (24.27&#x0025;) of respondents who received quality intrapartum care were urban residents.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Prevalence of quality intrapartum care uptake in women who gave birth within two years preceding the survey in East Africa.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-05-1507224-g001.tif"/>
</fig>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Proportion of uptake of components of quality intrapartum care in women who gave birth within two years preceding the survey in East Africa.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-05-1507224-g002.tif"/>
</fig>
</sec>
<sec id="s4c"><title>Model comparison</title>
<p>For model comparison Deviance, AIC, and BIC were used. Model III, the model with the lowest deviance, AIC, and BIC was considered the best-fit model (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). The null model was fitted without independent variables, while Model I included individual-level variables, Model II included community-level variables, and Model III combined both individual- and community-level variables.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Model comparison.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Null model</th>
<th valign="top" align="center">Model I</th>
<th valign="top" align="center">Model II</th>
<th valign="top" align="center">Model III</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Log-likelihood</td>
<td valign="top" align="center">&#x2212;54,474.04</td>
<td valign="top" align="center">&#x2212;52,601.53</td>
<td valign="top" align="center">&#x2212;48,209.79</td>
<td valign="top" align="center">&#x2212;47,724.34</td>
</tr>
<tr>
<td valign="top" align="left">Deviance</td>
<td valign="top" align="center">108,948.08</td>
<td valign="top" align="center">105,203.06</td>
<td valign="top" align="center">96,419.58</td>
<td valign="top" align="center">95,448.68</td>
</tr>
<tr>
<td valign="top" align="left">AIC</td>
<td valign="top" align="center">108,952.1</td>
<td valign="top" align="center">105,243.1</td>
<td valign="top" align="center">96,447.58</td>
<td valign="top" align="center">95,510.68</td>
</tr>
<tr>
<td valign="top" align="left">BIC</td>
<td valign="top" align="center">108,970.7</td>
<td valign="top" align="center">105,428.9</td>
<td valign="top" align="center">96,577.68</td>
<td valign="top" align="center">95,798.76</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4d"><title>Individual and community-level factors associated with receiving quality of intrapartum care</title>
<p>The results of the multilevel multivariable logistic regression showed that variables such as women&#x0027;s level of education, wealth index, number of living children, type of place of residence, distance from a health facility, and country of residence were significantly associated with the uptake of quality intrapartum care among women in East Africa.</p>
<p>The odds of receiving quality intrapartum care were 1.39 times higher (AOR&#x2009;&#x003D;&#x2009;1.39, 95&#x0025; CI: 1.33, 1.46), 1.62 times higher (AOR&#x2009;&#x003D;&#x2009;1.62, 95&#x0025; CI: 1.53, 1.62), and 1.46 times higher (AOR&#x2009;&#x003D;&#x2009;1.46, 95&#x0025; CI: 1.33, 1.60) among women who attained primary, secondary, and higher education, respectively, compared to those with no formal education. Women in the middle wealth index category had 1.28 times higher odds (AOR&#x2009;&#x003D;&#x2009;1.28, 95&#x0025; CI: 1.23, 1.34) of receiving quality intrapartum care, and women in the rich wealth index category had 1.36 times higher odds (AOR&#x2009;&#x003D;&#x2009;1.36, 95&#x0025; CI: 1.31, 1.43) of receiving quality intrapartum care compared to those in the poor wealth index category. Compared to participants with five or more living children, those with one child and 2&#x2013;4 children had 1.17 times (AOR&#x2009;&#x003D;&#x2009;1.17, 95&#x0025; CI: 1.09, 1.25) and 1.22 times (AOR&#x2009;&#x003D;&#x2009;1.22, 95&#x0025; CI: 1.16, 1.28) higher odds of receiving quality intrapartum care, respectively. The odds of receiving quality intrapartum care decreased by 18&#x0025; (AOR&#x2009;&#x003D;&#x2009;0.82, 95&#x0025; CI: 0.78, 0.86) among women residing in rural areas compared to their urban counterparts. Women for whom distance to a health facility was not a big problem had 1.28 times higher odds (AOR&#x2009;&#x003D;&#x2009;1.28, 95&#x0025; CI: 1.24, 1.33) of receiving quality intrapartum care compared to those for whom distance was a big problem. Compared to women living in Burundi, those residing in Rwanda had 1.30 times higher odds (AOR&#x2009;&#x003D;&#x2009;1.30, 95&#x0025; CI: 1.19, 1.41) of receiving quality intrapartum care, while women in all other countries had lower odds of receiving quality intrapartum care (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Individual and community-level factors associated with receiving quality of intrapartum care among women who gave birth within two years preceding the survey in East Africa.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">COR (95&#x0025; CI)</th>
<th valign="top" align="center">AOR (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3">Age of the women</td>
</tr>
<tr>
<td valign="top" align="left">15&#x2013;19</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">20&#x2013;24</td>
<td valign="top" align="center">1.19 (1.12, 1.26)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.99 (0.93, 1.06)</td>
</tr>
<tr>
<td valign="top" align="left">25&#x2013;29</td>
<td valign="top" align="center">1.24 (1.17, 1.31)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.02 (0.95, 1.09)</td>
</tr>
<tr>
<td valign="top" align="left">30&#x2013;34</td>
<td valign="top" align="center">1.26 (1.18, 1.34)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.05 (0.97, 1.13)</td>
</tr>
<tr>
<td valign="top" align="left">35&#x2013;39</td>
<td valign="top" align="center">1.19 (1.12, 1.27)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.06 (0.98, 1.16)</td>
</tr>
<tr>
<td valign="top" align="left">40&#x2013;44</td>
<td valign="top" align="center">1.12 (1.04, 1.20)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.04 (0.94, 1.15)</td>
</tr>
<tr>
<td valign="top" align="left">45&#x2013;49</td>
<td valign="top" align="center">0.91 (0.81, 1.01)<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
<td valign="top" align="center">0.91 (0.79, 1.04)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Women level of education</td>
</tr>
<tr>
<td valign="top" align="left">No education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Primary</td>
<td valign="top" align="center">1.86 (1.79, 1.93)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.39 (1.33, 1.46)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Secondary</td>
<td valign="top" align="center">2.09 (2.00, 2.18)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.62 (1.53, 1.62)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Higher</td>
<td valign="top" align="center">2.07 (1.91, 2.25)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.46 (1.33, 1.60)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Marital status</td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">0.89 (0.84, 0.94)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.06 (0.99, 1.13)</td>
</tr>
<tr>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">0.84 (0.74, 0.95)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.99 (0.86, 1.14)</td>
</tr>
<tr>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">0.96 (0.87, 1.06)</td>
<td valign="top" align="center">1.03 (0.92, 1.15)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Wealth index</td>
</tr>
<tr>
<td valign="top" align="left">Poor</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Middle</td>
<td valign="top" align="center">1.43 (1.38, 1.49)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.28 (1.23, 1.34)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Rich</td>
<td valign="top" align="center">1.82 (1.76, 1.88)<xref ref-type="table-fn" rid="table-fn1">&#x002A;</xref></td>
<td valign="top" align="center">1.36 (1.31, 1.43)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Number of living children</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Five and above</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">0.95 (0.79, 1.14)</td>
<td valign="top" align="center">0.91 (0.74, 1.12)</td>
</tr>
<tr>
<td valign="top" align="left">One</td>
<td valign="top" align="center">1.33 (1.28, 1.39)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.17 (1.09, 1.25)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">2&#x2013;4</td>
<td valign="top" align="center">1.37 (1.32, 1.42)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.22 (1.16, 1.28)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Place of residence</td>
</tr>
<tr>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">0.65 (0.63, 0.68)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.82 (0.78, 0.86)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Distance from health facility</td>
</tr>
<tr>
<td valign="top" align="left">Big problem</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Not a big problem</td>
<td valign="top" align="center">1.49 (1.45, 1.54)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.28 (1.24, 1.33)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">County of residence</td>
</tr>
<tr>
<td valign="top" align="left">Burundi</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Ethiopia</td>
<td valign="top" align="center">0.13 (0.12, 0.14)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.14 (0.13, 0.15)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Kenya</td>
<td valign="top" align="center">0.32 (0.29, 0.34)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.28 (0.26, 0.30)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Madagascar</td>
<td valign="top" align="center">0.09 (0.09, 0.11)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.09 (0.08, 0.09)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Malawi</td>
<td valign="top" align="center">0.99 (0.93, 1.06)</td>
<td valign="top" align="center">0.92 (0.86, 0.98)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Mozambique</td>
<td valign="top" align="center">0.32 (0.30, 0.35)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.29 (0.27, 0.32)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Rwanda</td>
<td valign="top" align="center">1.54 (1.42, 1.68)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.30 (1.19, 1.41)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Tanzania</td>
<td valign="top" align="center">0.56 (0.52, 0.61)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.49 (0.45, 0.53)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Uganda</td>
<td valign="top" align="center">0.34 (0.32, 0.37)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.31 (0.29, 0.33)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Zambia</td>
<td valign="top" align="center">0.62 (0.58, 0.67)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.53 (0.49, 0.58)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Zimbabwe</td>
<td valign="top" align="center">0.36 (0.33, 0.39)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.26 (0.24, 0.28)<xref ref-type="table-fn" rid="table-fn2">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label>&#x002A;</label>
<p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
<fn id="table-fn2"><label>&#x002A;&#x002A;</label>
<p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s5" sec-type="discussion"><title>Discussion</title>
<p>The prevalence of receiving quality intrapartum care in East Africa was 56.38&#x0025; (95&#x0025; CI: 56.03, 56.7). This finding was higher than those reported in various studies conducted in Ethiopia, including the North Achefer District (27.3&#x0025;) (<xref ref-type="bibr" rid="B10">10</xref>), North West Ethiopia (13&#x0025;) (<xref ref-type="bibr" rid="B11">11</xref>), Tigray (29.2&#x0025;) (<xref ref-type="bibr" rid="B17">17</xref>), and Tanzania (14&#x0025;) (<xref ref-type="bibr" rid="B14">14</xref>). The observed difference in the prevalence of quality intrapartum care may be attributed to the use of nationally representative data in the current study. Previous studies were limited to specific health facilities in smaller geographical areas. This broader scope in the current study likely provides a more comprehensive view of quality care across the region. The discrepancy may also stem from differences in how quality was assessed. This study focused on three key variables from the DHS, while previous studies used checklists that considered additional factors, such as intrapartum care interventions during labor and delivery, starting from the time of admission, as well as the availability of health services.</p>
<p>The odds of receiving quality intrapartum care were higher in women who attained primary, secondary, and higher education levels compared to those with no formal education. This finding was consistent with the studies conducted in Ethiopia (<xref ref-type="bibr" rid="B15">15</xref>) and Uganda (<xref ref-type="bibr" rid="B13">13</xref>). A possible reason for this could be that women with higher levels of education are more likely to utilize maternal health services, such as ANC, skilled birth attendance, and postnatal care, due to greater awareness of the importance of timely and appropriate care (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). This increased knowledge leads to a higher likelihood of receiving quality intrapartum care compared to women with no formal education. Women in the middle and rich wealth index categories had higher odds of receiving quality intrapartum care compared to those who were in the poor wealth index category. This finding was supported by studies conducted in Ethiopia (<xref ref-type="bibr" rid="B15">15</xref>), Gabon (<xref ref-type="bibr" rid="B20">20</xref>), Angola (<xref ref-type="bibr" rid="B21">21</xref>), another study in SSA (<xref ref-type="bibr" rid="B22">22</xref>), and a study in low- and middle-income countries (<xref ref-type="bibr" rid="B23">23</xref>). This might be because wealthier women receive higher quality intrapartum care due to better access to healthcare, the ability to afford skilled services, greater awareness of maternal care, and stronger social support networks (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Compared to women with five or more living children, those with one and 2&#x2013;4 living children had higher odds of receiving quality intrapartum care. This finding aligns with studies conducted in Ethiopia (<xref ref-type="bibr" rid="B15">15</xref>), low- and middle-income countries (<xref ref-type="bibr" rid="B23">23</xref>), Cameron (<xref ref-type="bibr" rid="B26">26</xref>), and China (<xref ref-type="bibr" rid="B27">27</xref>). One possible reason is that families with many children, especially those in the lower income quintile, face greater financial challenges, making it harder for mothers to afford healthcare costs, resulting in difficulties in accessing quality intrapartum care (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>). However, this finding contradicts results from the study in SSA, which revealed that the number of children was positively associated with access to maternal healthcare service (<xref ref-type="bibr" rid="B28">28</xref>). This could be because, as women become mothers, they gain a greater understanding of the importance of quality maternal care, which often drives them to seek better healthcare options, recognizing that proper support and resources are essential for their health and the health of their children during this critical time (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>The odds of receiving quality intrapartum care were lower in women residing in rural areas compared to their urban counterparts. This finding was supported by studies conducted in Hadiya Zone, Ethiopia (<xref ref-type="bibr" rid="B30">30</xref>), Low- and Middle-Income Countries (<xref ref-type="bibr" rid="B23">23</xref>), Southern Ethiopia (<xref ref-type="bibr" rid="B31">31</xref>), and India (<xref ref-type="bibr" rid="B32">32</xref>). This could be because urban women are more likely to seek healthcare services than their rural counterparts due to higher levels of knowledge and awareness, better access to government and private healthcare facilities, greater emphasis on education, and the advantages of shorter distances, improved infrastructure, and public transportation (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). The odds of receiving quality intrapartum care were higher in women for whom distance from a health facility was not a big problem, compared to those for whom distance from a health facility was a big problem. This finding was congruent with studies in Ethiopia (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>), Nepal (<xref ref-type="bibr" rid="B36">36</xref>), and Zambia (<xref ref-type="bibr" rid="B37">37</xref>). This could be due to longer distances deterring women from seeking timely medical assistance during labor and delivery, leading to potential delays caused by increased travel time, transportation costs, and the physical challenges associated with reaching healthcare facilities.</p>
<p>Women who live in Rwanda had higher odds of receiving quality intrapartum care, while those who live in Ethiopia, Kenya, Madagascar, Malawi, Mozambique, Tanzania, Uganda, Zambia, and Zimbabwe had lower odds of receiving quality intrapartum care compared to women who live in Burundi. This might be due to Rwanda&#x0027;s strong health system, community-based healthcare initiatives, and significant progress in reducing maternal mortality while improving access to skilled birth attendants (<xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s6"><title>Strengths and limitations</title>
<p>Nationally representative data from 11 East African countries were used in the study. Both individual and community-level variables were considered. Multilevel modeling was employed to account for the hierarchical nature of the data. Despite these strengths, the study has some limitations. The cross-sectional nature of the data prevents the identification of cause-and-effect relationships. Additionally, since the DHS dataset lacks certain variables, such as interventions during labor and delivery that were not included in the analysis, the magnitude of quality intrapartum care may be overestimated.</p>
</sec>
<sec id="s7" sec-type="conclusions"><title>Conclusion and recommendations</title>
<p>Our study results revealed that nearly half of the women in East Africa did not receive quality intrapartum care. Women&#x0027;s education level, wealth index, and number of living children were individual-level factors significantly associated with the uptake of quality intrapartum care. Residence, perceived distance from health facilities, and country of residence were community-level variables significantly associated with the uptake of quality intrapartum care. Improving the quality of intrapartum care requires enhancing women&#x0027;s education, addressing socioeconomic challenges, and increasing access to health facilities through targeted interventions.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="data-availability"><title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. The datasets analyzed during this study are publicly available from the DHS website (<ext-link ext-link-type="uri" xlink:href="https://dhsprogram.com/">https://dhsprogram.com/</ext-link>).</p>
</sec>
<sec id="s9" sec-type="ethics-statement"><title>Ethics statement</title>
<p>Ethical review and approval were not necessary for this study on human participants, as it complied with local laws and institutional guidelines. The study utilized secondary analysis of publicly available survey data from the DHS Program (<ext-link ext-link-type="uri" xlink:href="https://dhsprogram.com/">https://dhsprogram.com/</ext-link>), eliminating the need for ethical approval or participant consent. The original studies adhered to local regulations and institutional requirements, with written informed consent obtained from the legal guardians or next of kin of the participants.</p>
</sec>
<sec id="s10" sec-type="author-contributions"><title>Author contributions</title>
<p>AG: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AA: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. BS: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. BF: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. MM: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. MB: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. ZA: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. ST: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. YN: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. HA: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft.</p>
</sec>
<sec id="s11" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s12" sec-type="COI-statement"><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 id="s14" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s13" sec-type="disclaimer"><title>Publisher&#x0027;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>
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