<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    arsci
   </journal-id>
   <journal-title-group>
    <journal-title>
     Advances in Reproductive Sciences
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2330-0744
   </issn>
   <issn publication-format="print">
    2330-0752
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/arsci.2024.124017
   </article-id>
   <article-id pub-id-type="publisher-id">
    arsci-137139
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Maternal Death before Admission to the Sylvanus Olympio University Hospital Center (CHU SO): Epidemiological and Etiological Aspects
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Baguilane
      </surname>
      <given-names>
       Douaguibe
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sitou
      </surname>
      <given-names>
       Togbonou
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Dédé Régina
      </surname>
      <given-names>
       Ajavon
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Pankéyédou
      </surname>
      <given-names>
       Tongou
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Obstetrics Gynecology, University of Lomé, Lomé, Togo
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Obstetrics Gynecology, University of Kara, Kara, Togo
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     30
    </day> 
    <month>
     09
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    12
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    205
   </fpage>
   <lpage>
    212
   </lpage>
   <history>
    <date date-type="received">
     <day>
      23,
     </day>
     <month>
      September
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      29,
     </day>
     <month>
      September
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      29,
     </day>
     <month>
      October
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    <b>Background:</b> In Togo, the maternal mortality rate in 2017 was estimated at 396/100,000 live births. Maternal death before admission is an increasingly growing phenomenon in the gynecology-obstetrics clinic of the CHU SO. No epidemiological data is available on the subject. 
    <b>Objective: </b>Determine the epidemiological and etiological profiles of a pregnant, parturient, or woman who has given birth dead before or within 10 minutes of her admission. 
    <b>Methods</b>
    <b>:</b> This was a descriptive cross-sectional study from January 1, 2014, to December 31, 2021. All maternal deaths occurring before admission and within 10 minutes of admission to the clinic were included in the study of gynecology and obstetrics at CHU SO. The data were processed by Epi info version 7 software. 
    <b>Results</b>
    <b>:</b> In total, 654 maternal deaths, including 153 maternal deaths before admission, were recorded, corresponding to 23.4% of all maternal deaths. The median age was 30.2 years. 37.2% of women were uneducated. 41.2% were resellers. 79.1% of women were cohabiting. 47.1% of women had performed less than 3 ANC. 43.8% of the women who died had completed their ANC in a medical center. 54.3% by a midwife, 37.3% by unqualified personnel. 62.7% of deaths occurred postpartum and 36.3% during pregnancy. 79.1% were referrals. 88.9% of the women who died arrived in a non-medical taxi car. Among the 57 patients who died during their pregnancy, 40.3% were carrying a pregnancy of 28 to 36 weeks, and 36.3% were full-term pregnancies. Among the 96 women who died postpartum, 93.3% had given birth vaginally. Among the 121 referrals, 34.7% came from a birthing center, 56.2% were referred by a state midwife and 30.6% by unqualified personnel; 46.3% were referred without a reference form, 94.3% were referred without venous access. In 10.7%, the reason for evacuation was bleeding from the delivery, with an average evacuation time of one-hour 5minutes. 60.3% of women who died had an evacuation delay of more than one hour. 94.8% of patients died of direct obstetric causes, including immediate postpartum hemorrhage in 60.1% of cases. 
    <b>Conclusion: </b>Deaths before admission constitute an increasingly growing problem at CHU SO. A late referral is a determining factor in maternal deaths before admission.
   </abstract>
   <kwd-group> 
    <kwd>
     Maternal Death
    </kwd> 
    <kwd>
      Before Admission
    </kwd> 
    <kwd>
      Reference
    </kwd> 
    <kwd>
      CHU SO
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>
    <xref ref-type="bibr" rid="scirp.137139-"></xref>Pregnancy is a physiological phenomenon that most women aspire to at one point or another in their lives. However, this normal and life-creating process carries a risk of after-effects and death. Worldwide, each year, more than a million women die from complications of pregnancy or childbirth and postpartum complications <xref ref-type="bibr" rid="scirp.137139-1">
     [1]
    </xref>. Maternal death, according to the World Health Organization, is the death of a woman occurring during pregnancy or within 42 days after its termination, regardless of its duration or location, from any cause. Determined or aggravated by the pregnancy or the care it motivated, but neither accidental nor fortuitous <xref ref-type="bibr" rid="scirp.137139-1">
     [1]
    </xref>. It is an often preventable public health problem in developing countries <xref ref-type="bibr" rid="scirp.137139-2">
     [2]
    </xref>.</p>
   <p>Pre-admission maternal death is the death of a woman before or within 10 minutes after she is received at a health center <xref ref-type="bibr" rid="scirp.137139-3">
     [3]
    </xref>.</p>
   <p>In Togo, the maternal mortality rate in 2017 was estimated at 396/100,000 live births <xref ref-type="bibr" rid="scirp.137139-4">
     [4]
    </xref>. Maternal death before admission is an increasingly growing phenomenon in the gynecology-obstetrics clinic of the CHU-SO. No epidemiological data is available on the subject.</p>
   <p>The general objective of this work was to determine the epidemiological and etiological aspects of these maternal deaths before admission to the gynecology-obstetrics clinic of the CHU-SO.</p>
   <p>More precisely, the aim was to determine the frequency, describe the sociodemographic characteristics, and identify the risk factors, dysfunctions, and causes of these maternal deaths before admission.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <p>The gynecology-obstetrics clinic of the Sylvanus Olympio University Hospital Center in Lomé served as our study setting. This was a cross-sectional study with a descriptive aim, covering all maternal deaths before admission recorded in the department from January 1, 2014, to December 31, 2021.</p>
   <p>No ethical approval was obtained because of the retrospective collection of data. Before data collection, we requested and obtained administrative authorizations. The data was collected with respect for confidentiality and anonymity.</p>
   <p>All maternal deaths noted on admission and/or within 10 minutes of admission during this study period were included in this study.</p>
   <p>We did not include non-maternal deaths and those occurring during hospitalization.</p>
   <p>Sampling was systematic: all records of maternal deaths before admission during the study period were selected.</p>
   <p>Data collection was retrospective using a pre-established survey form, standardized individual, previously tested hard paper format that we had filled manually ourselves.</p>
   <p>Source of data collected: medical records, admission registers, evacuation and maternal death notification forms, and maternal death audit reports.</p>
   <p>The variables studied were frequency, sociodemographic profile, pregnancy monitoring, risk factors leading to death, evacuation conditions, the dysfunctions leading to death, and the causes of death.</p>
   <p>The data was entered using Excel version 2016 software and Epi info version 7 software.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>3.1. Hospital Frequency</title>
    <p>The average number of deliveries is 13,000 deliveries per year in the CHU SO maternity ward. In total, 654 maternal deaths were recorded in the department, including 153 maternal deaths before admissions, which corresponded to a hospital frequency of 23.4%.</p>
   </sec>
   <sec id="s3_2">
    <title>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>3.2. Maternal Mortality Ratio Before Admission</title>
    <p>The average maternal mortality ratio (MMR) before admission was 215 per 100,000 NV. <xref ref-type="fig" rid="fig1">
      Figure 1
     </xref> illustrates the evolution of the MMR before admission from 2014 to 2021 with a sawtooth evolution.</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. Evolution by year of maternal mortality ratios before admission.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1280301-rId16.jpeg?20241101030826" />
    </fig>
   </sec>
   <sec id="s3_3">
    <title>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>3.3. Sociodemographic Profile</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>The median age of the women who died was 30.2 years, with extremes of 15 and 49 years. The age group of 30 to 35 was the most represented in 29.4% of cases.</p>
    <p>The women who died were cohabiting in 79.1% of cases, married in 13.7%, and single in 7.2%.</p>
    <p>Most of the deceased women had a secondary education level in 91.4%. The uneducated represented 37.2% of cases.</p>
    <p>Resellers represented 41.2%, while 22.2% were artisans. These craftswomen were dominated by seamstresses in 64.7% of cases and hairdressers in 32.4% of cases.</p>
   </sec>
   <sec id="s3_4">
    <title>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>3.4. Pregnancy Monitoring</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>54.3% of deceased women had had fewer than 4 prenatal consultations and 7.2% had had no prenatal consultation. 43.8% of the deceased women had carried out their prenatal consultation in a Medical-Social Center (MSC) and 36.6% in a birthing center. Prenatal consultations were carried out by a midwife in 54.2% of cases and by unqualified personnel in 37.3% of cases.</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Malfunctions Leading to Deaths Maternal Before Admission</title>
   <sec id="s4_1">
    <title>4.1. Admission Method</title>
    <p>In total, 79.1% of the women who died were evacuated, 13.7% had a scarred uterus. Vaginal delivery was achieved in 93.5% of cases. 62.7% of deaths occurred postpartum and the deaths of pregnant women occurred in the 3<sup>rd</sup> trimester with full-term pregnancies. The different reference patterns are summarized in <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. Distribution of women who died before admission according to reference patterns.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1280301-rId17.jpeg?20241101030827" />
    </fig>
   </sec>
   <sec id="s4_2">
    <title>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>4.2. Origin of Evacuated Patients</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>Thirty-four-point-seven percent (34.7%) of the deceased women were evacuated from birthing centers and 32.2% were evacuated from MSC. Midwives evacuated 56.2% of women, followed by unqualified personnel in 30.6%.</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Conditions of Transport</title>
    <p>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>In 98.7%, the means of transport were non-medical. As indicated in <xref ref-type="table" rid="table1">
      Table 1
     </xref>, 94.3% of the women who died did not have a venous connection on arrival, and only 1.3% were accompanied by nursing staff during transport.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.137139-"></xref>Table 1. Distribution of patients according to means of transport.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="25.58%"><p style="text-align:center">Effective</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="23.50%"><p style="text-align:center">Percentage (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter"><p style="text-align:center">Car Taxi</p></td> 
       <td class="custom-top-td acenter" width="25.58%"><p style="text-align:center">136</p></td> 
       <td class="custom-top-td acenter" width="23.50%"><p style="text-align:center">88.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter"><p style="text-align:center">Motorcycle (Taxi, personal)</p></td> 
       <td class="acenter" width="25.58%"><p style="text-align:center">11</p></td> 
       <td class="acenter" width="23.50%"><p style="text-align:center">7.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter"><p style="text-align:center">Personal vehicle</p></td> 
       <td class="acenter" width="25.58%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="23.50%"><p style="text-align:center">2.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter"><p style="text-align:center">Medical ambulance</p></td> 
       <td class="acenter" width="25.58%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="23.50%"><p style="text-align:center">1.3</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter"><p style="text-align:center">Total</p></td> 
       <td class="custom-bottom-td acenter" width="25.58%"><p style="text-align:center">153</p></td> 
       <td class="custom-bottom-td acenter" width="23.50%"><p style="text-align:center">100.0</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>The average evacuation time was two hours. The average time taken before the decision to evacuate was one hour five minutes and 60.3% of the deceased women had a delay in departure of more than one hour to the CHU SO.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.137139-"></xref>The women who died had traveled an average distance of 15.89 km to reach the university hospital (<xref ref-type="table" rid="table2">
      Table 2
     </xref>).</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.137139-"></xref>Table 2. Distribution of women who died before admission according to the distance traveled.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="44.91%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="44.92%"><p style="text-align:center">Workforce</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="44.92%"><p style="text-align:center">Percentages</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="44.91%"><p style="text-align:center">&lt;5 km</p></td> 
       <td class="custom-top-td acenter" width="44.92%"><p style="text-align:center">26</p></td> 
       <td class="custom-top-td acenter" width="44.92%"><p style="text-align:center">16.9</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="44.91%"><p style="text-align:center">[5 - 10[ km</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">39</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">25.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="44.91%"><p style="text-align:center">[10 - 20[ km</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">59</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">38.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="44.91%"><p style="text-align:center">[20 - 40[ km</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">13.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="44.91%"><p style="text-align:center">[40 - 80[ km</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">07</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">4.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="44.91%"><p style="text-align:center">[80 - 160] km</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">02</p></td> 
       <td class="acenter" width="44.92%"><p style="text-align:center">1.3</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="44.91%"><p style="text-align:center">In total</p></td> 
       <td class="custom-bottom-td acenter" width="44.92%"><p style="text-align:center">153</p></td> 
       <td class="custom-bottom-td acenter" width="44.92%"><p style="text-align:center">100.0</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
  </sec><sec id="s5">
   <title>
    <xref ref-type="bibr" rid="scirp.137139-"></xref>5. Cause of Death</title>
   <p>
    <xref ref-type="bibr" rid="scirp.137139-"></xref>Most of the causes of death before admission were direct obstetric in 94.8%. The main cause was immediate postpartum hemorrhage. Preeclampsia and its complications represented 13.1% (<xref ref-type="fig" rid="fig3">
     Figure 3
    </xref>).</p>
   <fig id="fig3" position="float">
    <label>Figure 3</label>
    <caption>
     <title>Figure 3. Distribution of patients according to direct obstetric causes.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/1280301-rId18.jpeg?20241101030828" />
   </fig>
  </sec><sec id="s6">
   <title>6. Preventability of Death Causes</title>
   <p>Among the 153 maternal deaths before admission, 151 deaths (98.7%) were due to preventable causes compared to 1.3% not preventable causes.</p>
  </sec><sec id="s7">
   <title>7. Discussion</title>
   <p>This is the first study on deaths before admissions to the CHU SO. From 2014 to 2021, the Maternal Mortality Ratio before admission was 215/100,000 live births at the Gynecology-Obstetrics clinic of the Sylvanus Olympio University Hospital Center. It is a national reference center of last resort in the southern zone of Togo. The sawtooth evolution with a peak ratio of 353/1000,000 in 2018 is explained by the fact that several references, particularly birthing centers, were admitted during this year.</p>
   <p>The female victims are generally women of childbearing age (29.4%), with secondary education (91.4%) or even uneducated (37.2%), without income to support themselves. These results are similar to Dicko’s study in Mali <xref ref-type="bibr" rid="scirp.137139-5">
     [5]
    </xref>. This reflects the low socioeconomic level of these women, implying a lack of decision to go to the hospital if necessary <xref ref-type="bibr" rid="scirp.137139-5">
     [5]
    </xref>-<xref ref-type="bibr" rid="scirp.137139-7">
     [7]
    </xref>.</p>
   <p>Pregnancy monitoring was most often inadequate. These deceased women did not regularly attend prenatal consultations. Even if this is done, it is often by unqualified personnel in unequipped birthing centers, as reported by Traoré <xref ref-type="bibr" rid="scirp.137139-8">
     [8]
    </xref> and Diassana in Mali. The quality of prenatal consultations is an important element in the fight against maternal mortality. This is the time to detect pathologies that could compromise the normal course of the pregnancy to refer in time.</p>
   <p>Postpartum is a delicate and dangerous period. Most deaths (62.7%) occurred during this period of high risk of life-threatening maternal complications <xref ref-type="bibr" rid="scirp.137139-9">
     [9]
    </xref>. Among the maternal deaths in the postpartum period, 93.3% had given birth vaginally. Sissoko found 53.7% of vaginal deliveries in Mali <xref ref-type="bibr" rid="scirp.137139-8">
     [8]
    </xref>. This high rate of deaths after vaginal delivery is explained by the fact that these deliveries were carried out by unqualified personnel or in health centers without a surgical branch where cesarean section is not performed.</p>
   <p>Several factors contributed to maternal deaths: geographical inaccessibility of certain areas that are often flooded, late evacuations, and unmedicalized transport. All this testifies to the poor reference system <xref ref-type="bibr" rid="scirp.137139-10">
     [10]
    </xref>.</p>
   <p>The means of evacuation is a very important prognostic element in maternal deaths before admission. To evacuate such women by unmedicalized public transport is to subject them to inevitable death. The average time taken before the evacuation decision was made was 1 hour and five minutes. 60.3% of the deceased had an evacuation delay of more than one hour. This demonstrates a lack of obstetric skills among most providers in these referral centers for the diagnosis and management of obstetric emergencies.</p>
   <p>Obstetric causes of maternal deaths before admission were dominated by direct obstetric causes (94.8%).</p>
   <p>Death occurred in pregnant women in the 3<sup>rd</sup> trimester or peripartum or after deliveries. The main cause was postpartum hemorrhage (63.4%) followed by preeclampsia and its complications (13.1%). This confirms WHO data according to which hemorrhage is the leading cause of maternal deaths, followed by high blood pressure and its complications.</p>
   <p>Many deaths before admission were preventable (98.7%). These deaths could be avoided if the health system, from referral to the reception center, was better organized to manage obstetric emergencies <xref ref-type="bibr" rid="scirp.137139-11">
     [11]
    </xref>. The limitations of the study were related to its retrospective design and its monocentric setting.</p>
  </sec><sec id="s8">
   <title>8. Conclusion</title>
   <p>Maternal mortality before admission is a real public health problem in the southern region of Togo. The low socio-economic level, the non-qualification of nursing staff, and the poor referral system have contributed to the increase in these maternal deaths before admission. Responsibility for these deaths lies with the patient, the community, and the organization of the health system. Efforts, therefore, remain to be made at all levels to combat maternal mortality before admission.</p>
  </sec><sec id="s9">
   <title>Synopsis</title>
   <p>Maternal death before admission to a medical center is frequent in Togo. Several dysfunctions are at the origin. The causes are direct, obstetric, and preventable.</p>
  </sec><sec id="s10">
   <title>Author Contributions</title>
   <p>Baguilane Douaguibe: The designer who planed and conducted the article; Sitou Togbonou: Data analysis and manuscript writing; Dédé Régina Ajavon: Reader; Pankéyédou Tongou: Reader.</p>
  </sec>
 </body><back>
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