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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojog</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Obstetrics and Gynecology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2160-8806</issn>
      <issn pub-type="ppub">2160-8792</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojog.2026.161003</article-id>
      <article-id pub-id-type="publisher-id">ojog-148573</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Factors Associated with the Completion of the Continuum of Maternal, Neonatal and Child Care in 11 Sub-Saharan African Countries: A Multilevel Analysis of Demographic and Health Survey Data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Christian</surname>
            <given-names>Dillah</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Patedjore</surname>
            <given-names>Tchonfiene Passiri</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Siaka</surname>
            <given-names>Lougue</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Denise</surname>
            <given-names>Kpebo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kouanda</surname>
            <given-names>Seni</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Department of Public Health, Faculty of Sciences and Human Health, University of N’Djamena, N’Djamena, Chad </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>None.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>02</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>01</issue>
      <fpage>17</fpage>
      <lpage>34</lpage>
      <history>
        <date date-type="received">
          <day>21</day>
          <month>11</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>01</day>
          <month>01</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>04</day>
          <month>01</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojog.2026.161003">https://doi.org/10.4236/ojog.2026.161003</self-uri>
      <abstract>
        <p><bold>Introduction</bold>: The utilization of the continuum of maternal, neonatal and child care is recognized as a key strategy for reducing this burden. However, most studies on the continuum of care have focused on pregnancy, childbirth and postpartum care, without considering childhood immunization as part of the continuum of care, and countries with high maternal mortality are not often considered. The aim of this study was to identify the factors explaining the completion of the continuum of maternal, neonatal and infant care in 11 sub-Saharan African countries with high maternal mortality. <bold>Population</bold><bold>and</bold><bold>methods</bold>: Using data from recent demographic and health surveys in 11 sub-Saharan African countries with high maternal mortality, we carried out a secondary analysis including 42401 mother-child pairs. Using Stata software version 16.1, we performed a descriptive analysis of all variables, followed by a multilevel regression analysis to identify individual and contextual factors associated with the completion of the continuum of maternal, neonatal and infant care. <bold>Results:</bold> The level of completion of the continuum of care was 9.56%. The factors that were positively associated with the completion of the continuum of care were: age (OR = 1.47 [1.01 - 2.13] for women aged 35 - 49 years), education level (OR = 1.59 [1.05 - 2.41] for secondary/higher education), household wealth index (OR = 1.37 [1.12 - 1.66] for high wealth), media exposure (OR = 1.43 [1.12 - 1.84]), autonomy in healthcare decision-making (OR = 1.48 [1.17 - 1.87]), and cesarean section delivery (OR = 1.60 [1.38 - 1.86]). The intraclass correlation coefficient, proportional change in variance and median odds ratio were 15.11%, 30.95% and 2.08%, respectively. <bold>Conclu</bold><bold>sion</bold>: The level of completion of the continuum of maternal, neonatal and child care remains low in sub-Saharan African countries. The use and completion of the continuum of maternal, neonatal and child care services are imperative for reducing the burden of avoidable mortality in the mother-child pairs.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Continuum of Maternal</kwd>
        <kwd>Neonatal and Child Care</kwd>
        <kwd>Sub-Saharan Africa</kwd>
        <kwd>Multilevel Analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Background</title>
      <p>Maternal, neonatal and infant mortality is a health and development problem worldwide, especially in developing countries [<xref ref-type="bibr" rid="B1">1</xref>]. Complications throughout pregnancy, childbirth and the postnatal period are the most common causes of death among women of childbearing age in those countries [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B2">2</xref>]. In 2020, the maternal mortality rate in sub-Sahara African (SSA) was estimated to be 545 maternal deaths per 100,000 live births [<xref ref-type="bibr" rid="B3">3</xref>]. Despite many efforts, SSA remains the region of the world with the highest maternal mortality rate, accounting for 70% of maternal deaths worldwide, and the risk of maternal death is 1/4 among women of childbearing age [<xref ref-type="bibr" rid="B3">3</xref>]. In 2021, there were an estimated 5 million infant deaths, 47% of which occurred during the neonatal period [<xref ref-type="bibr" rid="B4">4</xref>]. Most of this infant mortality can be prevented through timely management of the infant’s conditions [<xref ref-type="bibr" rid="B5">5</xref>]. The launch of the Sustainable Development Goals (SDGs), the World Health Organization (WHO) and its partners committed to reducing maternal mortality rates to less than 70 per 100,000 live births, and neonatal and infant mortality to less than 12 and 25 per 1000 live births, respectively [<xref ref-type="bibr" rid="B6">6</xref>][<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>Many strategies have been implemented to reduce maternal, neonatal and infant mortality, such as prenatal care, skilled attendance at delivery, emergency neonatal obstetric care, essential newborn care, family planning, drug availability and immunization [<xref ref-type="bibr" rid="B8">8</xref>][<xref ref-type="bibr" rid="B9">9</xref>]. Among these strategies, the continuum of maternal, newborn and child of care (MNC CoC) has been recognized as a key strategy for improving maternal, newborn and child health and wellness. The MNC CoC provides for the health needs of women before, during and after pregnancy as well as infant and child care throughout the life cycle [<xref ref-type="bibr" rid="B10">10</xref>]. The success of each MNC CoC step depends on the previous step, starting with prenatal care and continuing with the other steps of the MNC CoC [<xref ref-type="bibr" rid="B11">11</xref>]. Failure to provide appropriate care at any step of the MNI CoC can result in less favorable maternal, newborn and child health outcomes [<xref ref-type="bibr" rid="B12">12</xref>]. Substantial progress has been made in the use of the service that constitutes MNC CoC. In a study including 81 countries with high maternal, neonatal and child mortality, 90% of pregnant women received prenatal care, 72% of women delivered in the health facility, and 59% and 42% had postnatal care for mothers and babies within 6 weeks, respectively [<xref ref-type="bibr" rid="B13">13</xref>]; however, these data show a regression in the coverage of each step. The MNC CoC completing concept has been used to improve in the health of mothers, newborns and children [<xref ref-type="bibr" rid="B14">14</xref>]. It is a framework for reducing maternal, neonatal and child morbidity and mortality [<xref ref-type="bibr" rid="B15">15</xref>]. Previous studies have shown that 99% coverage could avert 41% to 72% of neonatal deaths worldwide [<xref ref-type="bibr" rid="B16">16</xref>]; and reduce the maternal mortality ratio by 17% [<xref ref-type="bibr" rid="B17">17</xref>]. In addition, the results of a study carried out in India [<xref ref-type="bibr" rid="B18">18</xref>] showed that neonatal and child mortality rates were lower (10 and 15 per 1000 live births, respectively) for women who completed MNC CoC.</p>
      <p>In SSA, a few studies have been conducted on MNC CoC completion using nationally representative data [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B19">19</xref>]-[<xref ref-type="bibr" rid="B21">21</xref>], but few have focused on countries with high maternal mortality. In addition, previous studies have focused mainly on antenatal care, delivery in a healthcare facility and postnatal care without any particular emphasis on child health. To improve children’s health status, it is important to include interventions concerning child health services in MNC CoC studies.</p>
      <p>Thus, the present study was initiated with the aim of examining the full use of MNC CoC, from antenatal care to child immunization, including institutional delivery and postnatal care. Then, multilevel logistic regression modelling was used to determine the influence of individual and contextual characteristics on MNC CoC completion. </p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <p><bold>Data</bold><bold>source</bold>: Data from the demographic and Health Survey (DHS) between 2014 and 2021 of 11 SSA countries with maternal mortality ratios above 500/100,000 live births according to global estimates from 2000 to 2017 [<xref ref-type="bibr" rid="B7">7</xref>] were used. These countries include Central Africa (Cameroon, Chad), East Africa (Burundi, Tanzania) and West Africa (Gambia, Guinea, Liberia, Mali, Mauritania, Nigeria Sierra Leone). DHS are cross-sectional household surveys conducted at the national level of the country whose methodology has been extensively described elsewhere [<xref ref-type="bibr" rid="B22">22</xref>]. In all the countries selected for our study, the sample was based on a stratified (urban/rural), two-stage sample (cluster and household), with the exception of Mauritania, where the sample was stratified with three-stage sampling. This secondary analysis focused on women of childbearing age (15 - 49) who had a livebirth in the five years preceding the survey and whose child was at least 12 months old at the time of the survey.</p>
      <p><bold>Conceptual</bold><bold>framework</bold>: Based on the literature review and various factors associated with MNC CoC, we built a conceptual framework, based on the model proposed by Owilli (2016) [<xref ref-type="bibr" rid="B23">23</xref>], which was originally developed, to analyze the factors associated with each stage of MNC CoC (<xref ref-type="fig" rid="fig1">Figure 1</xref>). This framework illustrates the influence of individual, family, community and children’s characteristics on CoC. To this end, we have added the availability of health services, human resources, governance and health politics, which are also factors that can influence the completion of the MNC CoC.</p>
      <fig id="fig1">
        <label>Figure 1</label>
        <graphic xlink:href="https://html.scirp.org/file/1433848-rId13.jpeg?20260204113946" />
      </fig>
      <p><bold>Figure 1.</bold>Conceptual framework.</p>
      <p><bold>Dependent</bold><bold>variable</bold>: Our variable of interest was the <bold>c</bold>ompletion of the continuum of maternal, newborn and child care. It has been constructed as a composite variable, including the following indicators: </p>
      <p>At least four antenatal visits (ANC4+) were made by a skilled health provider at a health facility. In the DHS, this question was answered by: Did you consult anyone for prenatal care for this pregnancy? If YES, during this pregnancy, how many times did you receive prenatal care? For this study, we considered a minimum of 4 contacts contrary to the current WHO (2016) recommendation of a minimum of 8 contacts [<xref ref-type="bibr" rid="B2">2</xref>], as some data in this study precede this recommendation.Delivery in a health facility. This indicator is used as a proxy for delivery assisted by a skilled health provider (doctor, nurse/midwife, matron/health worker). The DHS asked: Where did you give birth to (Name)?At least one postnatal visit. A postnatal visit was considered to be a health check-up by a skilled health provider that a woman and her newborn had received after delivery. In the DHS, the following questions are asked: Did anyone check your state of health after you delivered (NAME)? Who examined your health? How long after delivery for the mother? For the child, how many hours, days or weeks after the birth of (NAME) did the first check-up take place? Who examined (NAME)’s state of health at that time? In this analysis, we considered only women who delivered at a health facility.The immunization coverage of children aged 12 to 59 months was assessed on the basis of 4 vaccines: Bacillus Calmette-Guerin (BCG), diphtheria-tetanus-pertussis 3 (DTP3), poliomyelitis 3 (Polio3) and the measles vaccine. In the DHS, several questions are asked for this information, including: Has (NAME) ever had any vaccines to prevent disease, including vaccines received on the day of a national immunization campaign? Please tell me if (NAME) has had any of the following vaccines? In this study, a child is considered fully vaccinated when he or she received all of the following vaccines: BCG, DTP3, Polio3 and the measles vaccine. </p>
      <p>These 4 CoC indicators were used to construct a binary variable coded: 1 for MNC CoC completion (at least 4 ANC, delivery in health facility, at least 1 PNC and full vaccination) and 0 otherwise. </p>
      <p>This dependent variable with four indicators differs from previous studies on MNI CoC which focused on prenatal care, assisted deliveries and immediate postnatal care. This study includes childhood complete immunization which a major factor in the child health. </p>
      <p><bold>The</bold><bold>independent</bold><bold>variables</bold>: included the following:</p>
      <p>Individual characteristics (level 1 variables): mother’s age, mother’s education, partner’s education, employment status, marital status, wealth level, healthcare decision-making, distance to care facility, sex, birth order, mode of delivery and media exposure. The media exposure variable was constructed from the variables reading newspapers, listening radio and watching television. Contextual characteristics (level 2 variables): place of residence (urban, rural) and country of residence.</p>
      <p><bold>Data</bold><bold>management</bold><bold>and</bold><bold>analysis</bold>: The data were cleaned, recoded and analyzed using STATA 16.1 software. The data were weighted to ensure survey representativeness using the sampling weight (v005), primary sampling unit (v021) and stratum variable (v023) [<xref ref-type="bibr" rid="B22">22</xref>]. Descriptive statistics were used for measuring the MNC CoC completion. A bivariate analysis was performed to test the statistical significance between the independent variables and the dependent variable using simple logistic regression. Unadjusted odds ratios (ORs), 95% confidence intervals (CI) and p-values were calculated. Significant independent variables with p-values less than or equal to 0.2 were included in the multivariate analysis. In the multilevel analysis, 4 models were built:</p>
      <p>Model 0: empty model containing no variables and specifying only the random intercept. This model assessed the presence of a possible contextual dimension in the MNC CoC completion;Model 1: with individual variables only;Model 2: with contextual variables only;Model 3: final model including all variables (both individual and contextual).</p>
      <p>In all models, fixed effects results are expressed as adjusted ORs with 95% CI. Random effects results were measured using the intraclass correlation coefficient (ICC), which measures the proportion of variation in CoC completion between countries; the median odds ratio (MOR), which shows the degree to which the individual probability of completion of the MNC CoC is determined by the context; and the proportional change in variance (PCV), which indicates the proportion of individual variation in completion CoC attributable to context [<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B25">25</xref>].</p>
      <p>The different models were compared using the AIC (Akaike information criterion) and the BIC (Bayesian information criterion). The receiver operating characteristic (ROC) curve was also assessed. </p>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Characteristics of Sample</title>
        <p><bold>Table 1</bold> shows the characteristics of the sample. A total of 42,401 mother-child pairs were included in the study. At the time of the survey, more than two thirds of the study participants were aged 20 - 34 years (68.99%) and lived in rural areas (67.26%), while approximately half of the respondents had no level of education (48.33%). More than one third (37.66%) of women felt that they had problems with distance from healthcare facilities (<bold>Table 1</bold>).</p>
        <p><bold>Table 1.</bold> Characteristics of the study participants.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variables</bold>
                </td>
                <td>
                  <bold>N</bold>
                  <bold>= 42</bold>
                  <bold>,</bold>
                  <bold>401</bold>
                </td>
                <td>
                  <bold>Percentage</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Country,</bold>
                  <bold>year</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Cameroon, 2018</td>
                <td>2845</td>
                <td>6.71</td>
              </tr>
              <tr>
                <td>Chad, 2014/2015</td>
                <td>6665</td>
                <td>15.72</td>
              </tr>
              <tr>
                <td>Burundi, 2016/2017</td>
                <td>4161</td>
                <td>9.81</td>
              </tr>
              <tr>
                <td>Tanzania, 2017</td>
                <td>3328</td>
                <td>7.85</td>
              </tr>
              <tr>
                <td>Gambia, 2019</td>
                <td>2551</td>
                <td>6.02</td>
              </tr>
              <tr>
                <td>Guinea, 2018</td>
                <td>2259</td>
                <td>5.33</td>
              </tr>
              <tr>
                <td>Liberia, 2019/2020</td>
                <td>1774</td>
                <td>4.18</td>
              </tr>
              <tr>
                <td>Mali, 2018</td>
                <td>2913</td>
                <td>6.87</td>
              </tr>
              <tr>
                <td>Mauritania, 2019/2021</td>
                <td>3246</td>
                <td>7.66</td>
              </tr>
              <tr>
                <td>Nigeria, 2018</td>
                <td>9831</td>
                <td>23.19</td>
              </tr>
              <tr>
                <td>Sierra Leone, 2019</td>
                <td>2828</td>
                <td>6.67</td>
              </tr>
              <tr>
                <td>
                  <bold>Maternal</bold>
                  <bold>age</bold>
                  <bold>in</bold>
                  <bold>year</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>15 - 19</td>
                <td>2713</td>
                <td>6.40</td>
              </tr>
              <tr>
                <td>20 - 34</td>
                <td>29,252</td>
                <td>68.99</td>
              </tr>
              <tr>
                <td>35 - 49</td>
                <td>10,436</td>
                <td>24.61</td>
              </tr>
              <tr>
                <td>
                  <bold>Residence</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Rural</td>
                <td>13,880</td>
                <td>32.74</td>
              </tr>
              <tr>
                <td>Urban</td>
                <td>28,521</td>
                <td>67.26</td>
              </tr>
              <tr>
                <td>
                  <bold>Marital</bold>
                  <bold>status</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Single</td>
                <td>4503</td>
                <td>10.62</td>
              </tr>
              <tr>
                <td>Married/In union</td>
                <td>37,898</td>
                <td>89.38</td>
              </tr>
              <tr>
                <td>
                  <bold>Paid</bold>
                  <bold>employment</bold>
                  <bold>status</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>16,394</td>
                <td>38.66</td>
              </tr>
              <tr>
                <td>No</td>
                <td>26,007</td>
                <td>61.34</td>
              </tr>
              <tr>
                <td>
                  <bold>Women’s</bold>
                  <bold>level</bold>
                  <bold>education</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>20,492</td>
                <td>48.33</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>11,135</td>
                <td>26.26</td>
              </tr>
              <tr>
                <td>Secondary/higher</td>
                <td>10,774</td>
                <td>25.41</td>
              </tr>
              <tr>
                <td>
                  <bold>Partner’s</bold>
                  <bold>level</bold>
                  <bold>education</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>22,671</td>
                <td>53.47</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>8315</td>
                <td>19.61</td>
              </tr>
              <tr>
                <td>Secondary/higher</td>
                <td>11,415</td>
                <td>26.92</td>
              </tr>
              <tr>
                <td>
                  <bold>Wealth</bold>
                  <bold>index</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Poor</td>
                <td>18,520</td>
                <td>43.68</td>
              </tr>
              <tr>
                <td>Medium</td>
                <td>8585</td>
                <td>20.25</td>
              </tr>
              <tr>
                <td>Rich</td>
                <td>15,296</td>
                <td>36.07</td>
              </tr>
              <tr>
                <td>
                  <bold>Media</bold>
                  <bold>exposure</bold>
                  <bold>
                    <sup>a</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>21,459</td>
                <td>50.64</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>20,920</td>
                <td>49.36</td>
              </tr>
              <tr>
                <td>
                  <bold>Autonomy</bold>
                  <bold>in</bold>
                  <bold>healthcare</bold>
                  <bold>decision-making</bold>
                  <bold>
                    <sup>b</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Woman not involved</td>
                <td>20,742</td>
                <td>54.73</td>
              </tr>
              <tr>
                <td>Woman only</td>
                <td>4004</td>
                <td>10.57</td>
              </tr>
              <tr>
                <td>Woman with someone</td>
                <td>13,152</td>
                <td>34.70</td>
              </tr>
              <tr>
                <td>
                  <bold>Distance</bold>
                  <bold>from</bold>
                  <bold>care</bold>
                  <bold>facility</bold>
                  <bold>
                    <sup>c</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No problem</td>
                <td>23,708</td>
                <td>62.34</td>
              </tr>
              <tr>
                <td>A big problem</td>
                <td>14,322</td>
                <td>37.66</td>
              </tr>
              <tr>
                <td>
                  <bold>Ordre</bold>
                  <bold>of</bold>
                  <bold>last</bold>
                  <bold>birth</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>≥6</td>
                <td>10,311</td>
                <td>24.32</td>
              </tr>
              <tr>
                <td>3 to 5</td>
                <td>16,601</td>
                <td>39.15</td>
              </tr>
              <tr>
                <td>1 to 2</td>
                <td>15,489</td>
                <td>36.53</td>
              </tr>
              <tr>
                <td>
                  <bold>Sex</bold>
                  <bold>of</bold>
                  <bold>child</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Male</td>
                <td>21,672</td>
                <td>51.11</td>
              </tr>
              <tr>
                <td>Female</td>
                <td>20,729</td>
                <td>48.89</td>
              </tr>
              <tr>
                <td>
                  <bold>Mode</bold>
                  <bold>of</bold>
                  <bold>delivery</bold>
                  <bold>
                    <sup>d</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Vaginal delivery</td>
                <td>40,729</td>
                <td>96.30</td>
              </tr>
              <tr>
                <td>Cesarean section</td>
                <td>1563</td>
                <td>3.70</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><sup>a</sup> = missing = 22 (0.05%), <sup>b</sup> = missing = 4503 (10.62%), <sup>c</sup> = missing = 4371 (10.31 %), <sup>d</sup> = missing = 109 (0.26%).</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Elements of the Continuum of Care</title>
        <p><bold>Table 2</bold> shows whether or not the elements of the continuum of care. According to the MNC CoC coverage, more than half (54.22%) of the mother-child pairs had received 4 or more antenatal care, 59.69% had given birth in health facilities, 24.13% had received postnatal care, and only 9.56% (95% IC [9% - 10%] of the mother-child pairs had completed the MNC CoC.</p>
        <p><bold>Table 2.</bold> Reception of elements of the continuum of care.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variables</bold>
                </td>
                <td>
                  <bold>N</bold>
                  <bold>= 42</bold>
                  <bold>,</bold>
                  <bold>401</bold>
                </td>
                <td>
                  <bold>Percentage</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>ANC</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>0</td>
                <td>6933</td>
                <td>16.35</td>
              </tr>
              <tr>
                <td>1 to 3 ANC</td>
                <td>12,479</td>
                <td>29.43</td>
              </tr>
              <tr>
                <td>ANC 4+</td>
                <td>22,989</td>
                <td>54.22</td>
              </tr>
              <tr>
                <td>
                  <bold>Place</bold>
                  <bold>of</bold>
                  <bold>delivery</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Out of healthcare facilities</td>
                <td>17,092</td>
                <td>40.31</td>
              </tr>
              <tr>
                <td>In a healthcare facility</td>
                <td>25,309</td>
                <td>59.69</td>
              </tr>
              <tr>
                <td>
                  <bold>Postnatal</bold>
                  <bold>care</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>32,170</td>
                <td>75.87</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>10,231</td>
                <td>24.13</td>
              </tr>
              <tr>
                <td>
                  <bold>Full</bold>
                  <bold>immunization</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>18,309</td>
                <td>43.18</td>
              </tr>
              <tr>
                <td>No</td>
                <td>24,092</td>
                <td>56.82</td>
              </tr>
              <tr>
                <td>
                  <bold>Completion</bold>
                  <bold>of</bold>
                  <bold>the</bold>
                  <bold>continuum</bold>
                  <bold>of</bold>
                  <bold>care</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>38,346</td>
                <td>90.44</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>4055</td>
                <td>9.56</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows the level of the completion of the MNC CoC by country. The levels were very low in Chad (2.63%) and Burundi (2.83%).</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/1433848-rId14.jpeg?20260204113946" />
        </fig>
        <p><bold>Figure 2.</bold>Level of MNC CoC completion by country.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Using the Elements of the Continuum of Care</title>
        <p><bold>Table 3</bold> shows the use of the elements of the MNC CoC. According to the receipt of the different care components of the MNC CoC, 17.94% of the mother-child pairs had not received any recommended care, and less than one third (28.69%) had received 3 components (<bold>Table 3</bold>).</p>
        <p><bold>Table 3.</bold> Utilization of the elements of the maternal, newborn and child continuum of care.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Parts of continuum of care received</bold>
                </td>
                <td>
                  <bold>N = 42</bold>
                  <bold>,</bold>
                  <bold>401</bold>
                </td>
                <td>
                  <bold>Percentage</bold>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>7605</td>
                <td>17.94</td>
              </tr>
              <tr>
                <td>1</td>
                <td>7247</td>
                <td>17.09</td>
              </tr>
              <tr>
                <td>2</td>
                <td>11,328</td>
                <td>26.72</td>
              </tr>
              <tr>
                <td>3</td>
                <td>12,166</td>
                <td>28.69</td>
              </tr>
              <tr>
                <td>4</td>
                <td>4055</td>
                <td>9.56</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>42,401</td>
                <td>100</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Factors Associated with the Continuum of Maternal, Neonatal and Child of Care</title>
        <p><bold>Table 4</bold> shows the factors associated with the completion of the MNC CoC. In the final model, the following variables were positively associated with the completion of the MNC CoC: maternal age (AOR = 1.47; 95% CI [1.01 - 2.13] for 35 - 49 years olds), mother’s secondary/higher education level (AOR = 1.59; 95% CI [1.05 - 2.41]), partner’s secondary/higher education level (AOR = 1.34; 95% CI [1.06 - 1.70]), high wealth index (AOR = 1.37; 95% CI [1.12 - 1.66]), media exposure (AOR = 1.43; 95% CI [1.12 - 1.84]), autonomy in healthcare decision-making (AOR = 1.48; 95% CI [1.17 - 1.87]) and first rank of birth (1 to 2: AOR = 1.41; 95% CI [1.14 - 1.76]; 3 to 5: AOR = 1.25; 95% CI [1.01 - 1.56]). Women who had difficulty accessing healthcare facilities were less likely to complete the CoC (AOR = 0.79; 95% CI [0.68 - 0.92]). </p>
        <p><bold>Table 4.</bold> Individual and contextual level factors associated with the MNC CoC completion.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">Variables</td>
                <td rowspan="2">Empty model</td>
                <td>Model 1</td>
                <td>Model 2</td>
                <td>Final model</td>
              </tr>
              <tr>
                <td>AOR (95% CI)</td>
                <td>AOR(95% CI)</td>
                <td>AOR(95% CI)</td>
              </tr>
              <tr>
                <td>FIXED EFFECTS</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Maternal</bold>
                  <bold>age</bold>
                  <bold>in</bold>
                  <bold>year</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>15 - 19</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>20 - 34</td>
                <td>
                </td>
                <td>1.15[0.90 - 1.47]</td>
                <td>
                </td>
                <td>1.25[0.97 - 1.60]</td>
              </tr>
              <tr>
                <td>35 - 49</td>
                <td>
                </td>
                <td>1.19[0.83 - 1.69]</td>
                <td>
                </td>
                <td>
                  <bold>1.47</bold>
                  <bold>[1.01 - 2.13]</bold>
                  *
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Women’s</bold>
                  <bold>level</bold>
                  <bold>education</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>
                </td>
                <td>1.18[0.87 - 1.60]</td>
                <td>
                </td>
                <td>1.16[0.86 - 1.56]</td>
              </tr>
              <tr>
                <td>Secondary/higher</td>
                <td>
                </td>
                <td>
                  <bold>1.74</bold>
                  <bold>[1.08 - 2.79]</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.59</bold>
                  <bold>[1.05 - 2.41]</bold>
                  *
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Partner’s</bold>
                  <bold>level</bold>
                  <bold>education</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>
                </td>
                <td>1.24[0.95 - 1.61]</td>
                <td>
                </td>
                <td>1.19[0.92 - 1.55]</td>
              </tr>
              <tr>
                <td>Secondary/higher</td>
                <td>
                </td>
                <td>
                  <bold>1.43</bold>
                  <bold>[1.10 - 1.81]**</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.34</bold>
                  <bold>[1.06 - 1.70]</bold>
                  *
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Paid</bold>
                  <bold>employment</bold>
                  <bold>status</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>No</td>
                <td>
                </td>
                <td>1.15[0.99 - 1.35]</td>
                <td>
                </td>
                <td>1.15[0.96 - 1.37]</td>
              </tr>
              <tr>
                <td>
                  <bold>Wealth</bold>
                  <bold>index</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Poor</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Medium</td>
                <td>
                </td>
                <td>1.11[0.84 - 1.47]</td>
                <td>
                </td>
                <td>1.09[0.89 - 1.34]</td>
              </tr>
              <tr>
                <td>Rich</td>
                <td>
                </td>
                <td>
                  <bold>1.47</bold>
                  <bold>[1.05 - 2.06]*</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.37</bold>
                  <bold>[1.12 - 1.66]</bold>
                  **
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Media</bold>
                  <bold>exposure</bold>
                  <bold>
                    <sup>a</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>
                </td>
                <td>
                  <bold>1.43</bold>
                  <bold>[1.12 - 1.82]**</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.43</bold>
                  <bold>[1.12 - 1.84]</bold>
                  *
                  <bold>*</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Autonomy</bold>
                  <bold>in</bold>
                  <bold>healthcare</bold>
                  <bold>decision-making</bold>
                  <bold>
                    <sup>b</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>
                </td>
                <td>
                  <bold>1.40</bold>
                  <bold>[1.17 - 1.87]**</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.48</bold>
                  <bold>[1.17 - 1.87]</bold>
                  *
                  <bold>*</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Ordre</bold>
                  <bold>of</bold>
                  <bold>last</bold>
                  <bold>birth</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Superior to 6</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>3 to 5</td>
                <td>
                </td>
                <td>
                  <bold>1.24</bold>
                  <bold>[1.01 - 1.55]</bold>
                  *
                </td>
                <td>
                </td>
                <td>
                  <bold>1.25</bold>
                  <bold>[1.01 - 1.56]</bold>
                  *
                  <bold>*</bold>
                </td>
              </tr>
              <tr>
                <td>1 to 2</td>
                <td>
                </td>
                <td>
                  <bold>1.41</bold>
                  <bold>[1.13 - 1.76]</bold>
                  *
                  <bold>*</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.41</bold>
                  <bold>[1.14 - 1.76]</bold>
                  *
                  <bold>*</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Sex</bold>
                  <bold>of</bold>
                  <bold>child</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Male</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Female</td>
                <td>
                </td>
                <td>
                  <bold>0.92</bold>
                  <bold>[0.86 - 0.99]</bold>
                  *
                </td>
                <td>
                </td>
                <td>0.93[0/87 - 1.00]</td>
              </tr>
              <tr>
                <td>
                  <bold>Mode</bold>
                  <bold>of</bold>
                  <bold>delivery</bold>
                  <bold>
                    <sup>d</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Vaginal delivery</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Cesarean section</td>
                <td>
                </td>
                <td>
                  <bold>1.64</bold>
                  <bold>[1.39 - 1.93]</bold>
                  *
                  <bold>**</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>1.60</bold>
                  <bold>[1.38 - 1.86]</bold>
                  *
                  <bold>**</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Distance</bold>
                  <bold>from</bold>
                  <bold>care</bold>
                  <bold>facility</bold>
                  <bold>
                    <sup>c</sup>
                  </bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>No problem</td>
                <td>
                </td>
                <td>Ref</td>
                <td>
                </td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>A big problem</td>
                <td>
                </td>
                <td>
                  <bold>0.79</bold>
                  <bold>[0.66 - 0.94]*</bold>
                </td>
                <td>
                </td>
                <td>
                  <bold>0.79</bold>
                  <bold>[0.68 - 0.92]**</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Residence</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Rural</td>
                <td>
                </td>
                <td>
                </td>
                <td>Ref</td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>Urban</td>
                <td>
                </td>
                <td>
                </td>
                <td>1.91[0.98 - 3.73]</td>
                <td>1.05[0.61 - 1.82]</td>
              </tr>
              <tr>
                <td>
                  <bold>Africa region</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Central Africa</td>
                <td>
                </td>
                <td>
                </td>
                <td>Ref</td>
                <td>Ref</td>
              </tr>
              <tr>
                <td>East Africa</td>
                <td>
                </td>
                <td>
                </td>
                <td>1.22[0.20 - 7.23]</td>
                <td>0.96[0.18 - 5.16]</td>
              </tr>
              <tr>
                <td>West Africa</td>
                <td>
                </td>
                <td>
                </td>
                <td>1.64[0.43 - 6.26]</td>
                <td>1.73[0.47 - 6.29]</td>
              </tr>
              <tr>
                <td>
                  <bold>Random Effects</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Intercept variance</td>
                <td>0.84 (0.36)</td>
                <td>0.66 (0.25)</td>
                <td>0.56 (0.15)</td>
                <td>0.58 (0.18)</td>
              </tr>
              <tr>
                <td>CCI %</td>
                <td>20.40</td>
                <td>16.87</td>
                <td>14.55</td>
                <td>15,11</td>
              </tr>
              <tr>
                <td>MOR</td>
                <td>2.41[1.53 - 2.75]</td>
                <td>2.18[1.55 - 2.81]</td>
                <td>2.04[1.64 - 2.45]</td>
                <td>2.08[1.61 - 2.54]</td>
              </tr>
              <tr>
                <td>CPV %</td>
                <td>Ref</td>
                <td>21.42</td>
                <td>33.33</td>
                <td>30.95</td>
              </tr>
              <tr>
                <td>
                  <bold>Model statistics</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Log likelihood</td>
                <td>−12162.107</td>
                <td>−9628.3475</td>
                <td>−12032.945</td>
                <td>−9627.1313</td>
              </tr>
              <tr>
                <td>AIC</td>
                <td>24,328</td>
                <td>19276.69</td>
                <td>24075.89</td>
                <td>19276.26</td>
              </tr>
              <tr>
                <td>BIC</td>
                <td>24,345</td>
                <td>19360.98</td>
                <td>24119.17</td>
                <td>19368.97</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>*p &lt; 0.05, **p &lt; 0.01 and ***p &lt; 0.001, indicate significant differences. AOR, Adjusted Odds Ratio. CI, Confidence Interval.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>The concept of completing the MNC CoC must satisfy women’s health needs before, during, and after pregnancy, as well as infant and child care. This study is one of the first to examine the completion of the MNC CoC in 11 sub-Saharan African countries with maternal mortality rates above 500 deaths per 100,000 live births, with the objective of measuring the level of completion and identifying the associated factors.</p>
      <p>In our sample, only 9.7% [9% - 10%] of mother-child pairs had completed the MNC CoC, with high disparities between countries, ranging from 2.63% in Chad to 32.32% in Gambia.</p>
      <p>Evidence from previous studies in Asia, notably Cambodia, India, Bangladesh and Nepal, showed that 59.8%, 39%, 30.5% and 41% of women, respectively, completed the MNC CoC [<xref ref-type="bibr" rid="B26">26</xref>]-[<xref ref-type="bibr" rid="B29">29</xref>]. In SSA, 3 multi-country studies [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B30">30</xref>][<xref ref-type="bibr" rid="B31">31</xref>] have shown that 13.9%, 24.95%, and 35.64%, respectively, had completed the MNC CoC.</p>
      <p>The low level of MNC CoC completion found in our study could be explained by the fact that, we were interested in the 11 SSA countries with high maternal mortality. The low level of MNC CoC completion in these 11 countries could explain the high risk of maternal and child mortality, as many women and their children miss out on key interventions at different touchpoints along the MNC CoC. In 2016 Owili [<xref ref-type="bibr" rid="B23">23</xref>], in their study of MNC CoC associations, demonstrated that the use of antenatal care services is linked to the use of delivery care, and that delivery care is associated with the use of postnatal care, including childhood immunization. Thus, the use of services at each point of the MNC CoC could be an opportunity to promote continuous and comprehensive use of care, respecting the different stages of the MNC CoC to safeguard the wellness of the mother-child pair. Another reason for this difference lies in the operational definition of our outcome variable, which includes 4 indicators of the MNC CoC, including immunization, unlike all previous studies with the exception of the study by Kothavale [<xref ref-type="bibr" rid="B27">27</xref>] which was conducted in India in 2021, where the completion level was 39%. These disparities in results can also be explained by regional differences in the accessibility of healthcare services, socio-economic characteristics and variations in healthcare policies.</p>
      <p>The results of this study showed that the greater maternal age at last birth was, the greater the likelihood of completing the MNC CoC. Multi-country studies [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B30">30</xref>] in SSA have shown a positive correlation between maternal age and the use of maternal care services. Teenagers are less likely to receive ongoing MNC health care than older women. Similar to our findings, studies have shown that women over 35 years old are more likely to use delivery and postnatal care services than are those between 20 - 35 years old [<xref ref-type="bibr" rid="B31">31</xref>]. This result could be explained by the fact that some women in this age group have had negative experiences with early, frequent or too close pregnancies, and have decided to be followed by a skilled attendant to receive all the care needed. Pregnant older women are at increased risk of developing complications such as hypertension and pre-eclampsia during pregnancy [<xref ref-type="bibr" rid="B32">32</xref>] as well as teenage mothers [<xref ref-type="bibr" rid="B33">33</xref>], but their lack of maternity experience and limited access to information about the benefits of care across the continuum of care may hinder their use of maternal, neonatal and child health services. The likelihood of older women using health services could also be explained by a certain awareness and wisdom on their part.</p>
      <p>The results of this study showed that the probability of completing MNC CoC was significantly greater for women with a high level of education. Other studies [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B26">26</xref>][<xref ref-type="bibr" rid="B34">34</xref>]-[<xref ref-type="bibr" rid="B36">36</xref>] have also documented the positive impact of education on MNC CoC. Women with a high level of education are more likely to acquire knowledge and information about the advantages of the different types of essential care a woman needs to benefit from throughout the MNC CoC. Women whose partners had higher/secondary education were more likely to have completed MNC CoC than their uneducated congeners. This could be attributed to the role played by husbands/partners in Africa, dominated by a patriarchal system (decision-making on healthcare, distribution of resources for healthcare use). Thus, education could encourage people to question negative societal or traditional norms, and promote the use of modern healthcare. Husbands/partners who are educated are also more likely to have discussions with their partners about the benefits of using maternal and child health services. Therefore, developing and sharing educational messages on maternal, newborn and child health in local languages with uneducated men and women could improve their level of knowledge on the subject. </p>
      <p>The study also identified the household wealth index as a predictor of the completion of MNC CoC. Households in the highest wealth quintile were more likely to complete the MNC CoC than households in the lowest wealth quintile. Despite maternal, newborn and child health care being cost-free in most developing countries, poor households are likely to face other obstacles, such as lack of transport or having to pay for transport costs, while wealthier households are less confronted with these obstacles and are able to pay additional costs related to different provisions (drugs or complementary tests, ect.). It is therefore necessary to design and implement specific interventions for poor and vulnerable women.</p>
      <p>Having some autonomy in healthcare decision-making is shown in our study to be positively associated with the completion of MNC CoC. Other authors have reported similar results [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B36">36</xref>]. This may be because women who have some autonomy in healthcare decision-making are more likely to seek and receive care for themselves and their children when they want it. For women lacking autonomy when seeking health care, we believe it is important to develop initiatives such as the “school for husbands” and other influential family members such as mothers-in-law and grandmothers, to facilitate access to ongoing health care services. In addition, women need to be sensitized and motivated to take ownership of their own and their children’s health needs. Promoting women’s empowerment and gender equality (SDG5) could be a strategy to promote the use of maternal, newborn and child health services.</p>
      <p>The media are an important way of disseminating information about maternal and child health, improving knowledge and inducing behavior change in women and their partners in terms of the use of health services [<xref ref-type="bibr" rid="B37">37</xref>]. The present study revealed that women exposed to media have a greater chance of completing the MNC CoC than those who are not exposed. Many previous studies have reported the same results [<xref ref-type="bibr" rid="B20">20</xref>][<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B34">34</xref>][<xref ref-type="bibr" rid="B38">38</xref>]. This could be explained by the media being used for mass awareness campaigns, sometimes through the use of local languages. As a result, women who are exposed to it are likely to benefit educational messages about the advantages of maternal, newborn and child care, which can lead them to change their behavior in favor of a positive attitude and motivate them to make the decision to use it.</p>
      <p>Previous studies have shown that the higher children’s birth rank is, the lower the attendance and use of maternal, newborn and child health services [<xref ref-type="bibr" rid="B39">39</xref>][<xref ref-type="bibr" rid="B40">40</xref>], as demonstrated by our present study. This result could be explained by the fact that, for this first child, parents are very happy and motivated to seek out the right care for themselves and their children. Over time, as the number of children increases, they tend to have some experience with maternal and child health care, and sometimes indulge in unsafe care practices. This finding calls for reproductive health professionals to step up family planning awareness campaigns, to encourage women to limit the number of children, and to enable mother-child pairs to benefit from ongoing maternal, newborn and child health care. This result seems to contradict the age of the mothers. Indeed, there are older women whose last child is their first, and there are others whose last children may belong to higher birth ranks. This observed result suggests that additional research should be conducted to better understand the relationship between the completion of MNI CoC, maternal age, and birth order.</p>
    </sec>
    <sec id="sec5">
      <title>5. Strengths and Limitations</title>
      <p>This study has a number of limitations that are worth highlighting. First, it is a study whose data were collected for the last 5 years prior to the survey, so it is subject to memory bias when collecting information on maternal, newborn and child healthcare. Second, it was not possible to study certain factors, such as quality of care, women’s satisfaction, pregnancy-related maternal complications and contextual factors related to health facilities (human resources, infrastructure, equipment) due to the absence of these data in DHS surveys. However, these factors could affect the completion of MNC CoC. Third, the design of our study is cross-sectional, and allowed us to establish the relationship between the MNC CoC and the different explanatory variables, but we cannot establish causality.</p>
      <p>Despite these limitations, the robustness of this study should also be noted, which lies in the national representativeness of the data from each country included in the study, and in the use of multilevel model analysis. These results could be generalized and will be of interest to the programs, policies and health decision makers in the countries of interest.</p>
    </sec>
    <sec id="sec6">
      <title>6. Conclusion</title>
      <p>The continuum of care is an approach that ensures that every mother-child pair receives continuous essential care throughout pregnancy, delivery, the postnatal period and childhood. The level of the maternal, newborn and child continuum of care is very low in sub-Saharan Africa, particularly in countries with high maternal mortality. To improve the completion of the MNC CoC, governments and technical and financial partners need to establish appropriate multisectoral approaches, taking into account individual and contextual characteristics. The implementation of effective interventions to increase the utilization of MNC CoC remains a key strategy for the well-being of mothers and children and is an imperative for improving the survival of women newborns and children. </p>
    </sec>
    <sec id="sec7">
      <title>Acknowledgements</title>
      <p>Human Reproductive Program (HRP) to finance our Master’s degree.</p>
      <p>DHS program for the availability of data for this study.</p>
    </sec>
    <sec id="sec8">
      <title>Ethical Considerations</title>
      <p>For this study, the databases were obtained following a request to the DHS program, which, after a favorable opinion, allowed us to download the various databases from which we had carried out an analysis of the dataset. The downloaded databases do not identify the survey participants, so anonymity and confidentiality are respected. Approval from the Ethics and Research Committees was required in each country before implementing the various surveys.</p>
    </sec>
    <sec id="sec9">
      <title>Note</title>
      <p>The datasets generated and/or analysed during the current study are available in: <ext-link ext-link-type="uri" xlink:href="http://www.dhsprogram.com/">http://www.dhsprogram.com/</ext-link></p>
    </sec>
    <sec id="sec10">
      <title>Abbreviations</title>
      <table-wrap id="tbl5">
        <label>Table 5</label>
        <table>
          <tbody>
            <tr>
              <td>SSA:</td>
              <td>Sub-Saharan Africa</td>
            </tr>
            <tr>
              <td>MNC CoC:</td>
              <td>Continuum of maternal, newborn and child care</td>
            </tr>
            <tr>
              <td>WHO:</td>
              <td>World Health Organization</td>
            </tr>
            <tr>
              <td>SDG:</td>
              <td>Sustainable Development Goals</td>
            </tr>
            <tr>
              <td>DHS:</td>
              <td>Demographic and Health Survey</td>
            </tr>
            <tr>
              <td>ANC:</td>
              <td>Antenatal Care</td>
            </tr>
            <tr>
              <td>PNC:</td>
              <td>Postnatal Care</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
  </body>
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