<?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">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">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.2018.83027</article-id><article-id pub-id-type="publisher-id">OJOG-83516</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Problem of Obstetrical Evacuations: About 630 Cases Collected at the Maternity of Bouake University Hospital
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lydie</surname><given-names>Estelle Djanhan</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>Jean</surname><given-names>Marc Dia</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Messou</surname><given-names>Michelle Menin</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>Yaya</surname><given-names>Samaké</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>Claussen</surname><given-names>M’broh</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>Kouadio</surname><given-names>Narcisse Kouadio</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>Kouamé</surname><given-names>Privat Kouakou</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>Yacouba</surname><given-names>Doumbia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Gynecology and Obstetrics, University and Hospital Center of Bouaké (CHUB), Bouaké, Cote d’Ivoire</addr-line></aff><aff id="aff2"><addr-line>Department of Gynecology and Obstetrics, University and Hospital Center of Treichville (CHUT), Abidjan, Cote d’Ivoire</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>jmlaminedia@yahoo.fr(JMD)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>05</day><month>03</month><year>2018</year></pub-date><volume>08</volume><issue>03</issue><fpage>253</fpage><lpage>262</lpage><history><date date-type="received"><day>5,</day>	<month>December</month>	<year>2017</year></date><date date-type="rev-recd"><day>27,</day>	<month>March</month>	<year>2018</year>	</date><date date-type="accepted"><day>30,</day>	<month>March</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  Objective
  : To improve the care of evacuees at the maternity of the University Hospital Center of Bouak&#233; (CHUB).
   
  <b>Methodology</b>
  : This is a cross-sectional and descriptive study over a period of three months that covered 630 cases collected at the Maternity of the
   
  university Hospital of
   
  Bouak&#233;.
   
  <b>Results</b>
  : Obstetric evacuation accounted for 42.5% of admissions to the delivery room. Patients under 20 years and over 34 years of age respectively represented 21% and 13.5% of the total. 62.7% of evacuees were not educated and 84.9% had low economic level. Nulliparous and multiparous women accounted for 54.9% of the patients and 88% had mean prenatal follow up
  . 
  The evacuations were decided by midwives (91.3%), without previous adapted treatment (79.4%), with a badly filled evacuation card (49.7%) and no partograph.
   
  The taxi was the most used means of transportation (75.2%) and most evacuees took less than one hour to access the referral center (61.4%). The reasons for evacuation are mainly dominated by mechanical obstructions (34.8%); on admission the evacuees with no real reference reason were 243 (38.6%) and the diagnosis was inconsistent in 43% of cases.
   
  The majority of evacuated women delivered vaginally (69.4%). Most newborns had a satisfactory state at the 5th minute of life (79.4%) and we noted 54 cases (08.3%) of neonatal deaths. 7.8% of evacuees had a complication dominated by postpartum anemia (51.1%); we had lamented 17 cases (2.7%) of maternal deaths among evacuees, attributable to delivery haemorrhage (47.1%) and eclampsia (23.5%)
  . 
  <b>Conclusion</b>
  : A better organization of the reference and an equipment of the peripheral health structures would improve the prognosis of the evacuees.
 
</p></abstract><kwd-group><kwd>Obstetric Emergencies</kwd><kwd> Evacuations</kwd><kwd> Reference</kwd><kwd> Maternal Mortality</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Maternal mortality is a major public health problem around the world and its assessment shows high numbers, especially in sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.83516-ref1">1</xref>] .</p><p>According to Adamson Peter [<xref ref-type="bibr" rid="scirp.83516-ref2">2</xref>] , 15% of pregnancies don’t benefit from modern obstetric care, and to reduce maternal mortality, they should be identified and managed as soon as possible.</p><p>For this, an important role is given to the transfer of women to specialized centers, hence the interest of evacuation.</p><p>Fournier estimated that two years after the implementation of the referral/evacuation system, very positive effects are obtained with the improvement of basic emergency obstetric and neonatal care coverage, with a decrease in mortality [<xref ref-type="bibr" rid="scirp.83516-ref3">3</xref>] .</p><p>Several studies on the system of obstetric evacuation have been made in Africa. In Cote d’Ivoire the works on this theme are not recent. We conducted this study whose objective was to carry out a comprehensive evaluation of obstetric evacuation in a reference health center. In this case the CHUB was a referral center for patients from different cities in emergency. This was in order to improve the care of evacuees in the gynecology-obstetrics department.</p></sec><sec id="s2"><title>2. Methodology</title><p>This was a transversal and descriptive study conducted over a three-month period from February 1, 2006 to April 30, 2016 on patients discharged from peripheral centers in our department for obstetric emergency.</p><p>We included in the study all parturients and recent births (48 hours postpartum) with an evacuation record. Were excluded from the study, parturients and recent births without evacuation records and those with incomplete records. Thus 630 patient met our inclusion criteria,</p><p>We studied the following parameters: the frequency of the evacuations, the socio-demographic and clinical characteristics of the evacuees, the data of the evacuation form, the evacuation conditions, the maternal-fetal prognosis.</p><p>Data collection was done using a survey questionnaire, delivery records and obstetric emergencies, evacuees medical records and evacuation support, which is the evacuation record.</p><p>The data were analyzed using Epi Info 7, Excel and Word software.</p><p>Framework of the study</p><p>The University Hospital of Bouak&#233; is the only center of reference of the second largest city of the Ivory Coast. It covers a population of 3.5 million.</p><p>The patients evacuated in our department come from three different zones. Those coming from:</p><p>- the city of Bouak&#233;travel less than 5 kilometers.</p><p>- the region of Gb&#232;k&#232; (in the surrounding areas of Bouak&#233;) travel between 5 - 75 kilometers.</p><p>- the other regions than the region of Gb&#232;k&#232; travel more than 75 kilometers.</p><p>In our department, we practice an average of 6000 deliveries a year and 13,000 consultations including 9000 prenatal consultations</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. The Frequency of Obstetric Evacuation</title><p>During the study period we recorded 1484 obstetric emergencies, of which 1101 were evacuees from the peripheral centers, a frequency of 74.2%.</p><p>Of these 1101 evacuees, 630 met our inclusion criteria, a frequency of 42.5%.</p></sec><sec id="s3_2"><title>3.2. Socio-Demographic Characteristics</title><p>In 84.9% the socio-economic level was judged low (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of patients according to sociodemographic data (N = 630)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Socio-demographic characteristics</th><th align="center" valign="middle" >population</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >132</td><td align="center" valign="middle" >21</td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >24.8</td></tr><tr><td align="center" valign="middle" >25 - 29</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >21.9</td></tr><tr><td align="center" valign="middle" >30 - 34</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >18.9</td></tr><tr><td align="center" valign="middle" >&gt;34</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >13.5</td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >nulliparous</td><td align="center" valign="middle" >217</td><td align="center" valign="middle" >34.4</td></tr><tr><td align="center" valign="middle" >pauciparous</td><td align="center" valign="middle" >284</td><td align="center" valign="middle" >45.1</td></tr><tr><td align="center" valign="middle" >multiparous</td><td align="center" valign="middle" >129</td><td align="center" valign="middle" >20.5</td></tr><tr><td align="center" valign="middle" >economic level*</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >low</td><td align="center" valign="middle" >535</td><td align="center" valign="middle" >84,9</td></tr><tr><td align="center" valign="middle" >mean</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >15,1</td></tr><tr><td align="center" valign="middle" >high</td><td align="center" valign="middle" >00</td><td align="center" valign="middle" >00</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >395</td><td align="center" valign="middle" >62.7</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >19</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >13.2</td></tr><tr><td align="center" valign="middle" >Superior</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >5.1</td></tr><tr><td align="center" valign="middle" >Quality of prenatal follow-up**</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >00</td><td align="center" valign="middle" >00</td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >554</td><td align="center" valign="middle" >88</td></tr><tr><td align="center" valign="middle" >bad</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >12</td></tr></tbody></table></table-wrap><p>*The economic level was deemed low when the monthly income of the couple was below the minimum wage in C&#244;te d’Ivoire (100 euros). And it was estimated average when income was less than 200 euros (less than the double of the minimum wage). **Prenatal follow-up was considered good when the recommended number of prenatal consultations (PCN) and prenatal check up (PCU) were actually performed. It was average when PCN or PCU were not completely done. And it was considered bad when no PCN and no PCU were done. 88% of the patients had mean prenatal follow up.</p><p>The average age was 25.93 years, with extremes of 14 years and 48 years. Patients under 20 years and over 34 years of age respectively represented 21% and 13.5% of the total.</p><p>62.7% of evacuees were not educated and 84.9% had low economic level.</p><p>Nulliparous and multiparous women accounted for 54.9% of the patients.</p></sec><sec id="s3_3"><title>3.3. The Evacuation Parameters</title><p>Urban health centers evacuated 75.2% of patients; the evacuees came from the city of Bouak&#233; in 69.8% of the cases. Most of the evacuations were done by midwives (91.3%).</p><p>The evacuation form was badly filled in 49.70% of cases. No partograph was associated with the evacuation record for all evacuees (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>79.4% of patients did not receive care prior to evacuation.</p><p>The taxi was the most used means of transport (75.2%). It should be noted that no health worker accompanied the evacuees.</p><p>The average time spent in our series was 1 h 21 minutes with a minimum of 7 minutes and a maximum of 18.5 hours.</p><p>The evacuees took more than 1 hour to access the CHUB maternity in 38.6% of cases.</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of patients according to evacuation parameters (N = 630)</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle" >parameters</th><th align="center" valign="middle" >population</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Origin*</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >city of Bouake</td><td align="center" valign="middle" >440</td><td align="center" valign="middle" >69.8</td></tr><tr><td align="center" valign="middle" >Region of Gb&#232;k&#232;</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >18.9</td></tr><tr><td align="center" valign="middle" >Other regions</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >11.3</td></tr><tr><td align="center" valign="middle" >Origin Structure</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban Health Centers</td><td align="center" valign="middle" >477</td><td align="center" valign="middle" >75.7</td></tr><tr><td align="center" valign="middle" >Rural Health Centers</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >11.3</td></tr><tr><td align="center" valign="middle" >General hospitals</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >10.1</td></tr><tr><td align="center" valign="middle" >Private clinics</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >2.9</td></tr><tr><td align="center" valign="middle" >Officer in charge of the evacuation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >midwives</td><td align="center" valign="middle" >590</td><td align="center" valign="middle" >93.6</td></tr><tr><td align="center" valign="middle" >nurses</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >05.4</td></tr><tr><td align="center" valign="middle" >Doctors</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >01</td></tr><tr><td align="center" valign="middle" >Evacuation form</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Well completed</td><td align="center" valign="middle" >317</td><td align="center" valign="middle" >50.3</td></tr><tr><td align="center" valign="middle" >Badly completed</td><td align="center" valign="middle" >313</td><td align="center" valign="middle" >49.7</td></tr><tr><td align="center" valign="middle" >Care before evacuation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Care adapted to the motive</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >20.6</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >79.4</td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle" >Means of evacuation</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Taxis</td><td align="center" valign="middle" >482</td><td align="center" valign="middle" >76.5</td></tr><tr><td align="center" valign="middle" >Ambulances</td><td align="center" valign="middle" >139</td><td align="center" valign="middle" >22.1</td></tr><tr><td align="center" valign="middle" >Personal vehicles</td><td align="center" valign="middle" >05</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle" >Motorbikes</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >Journey duration (hour)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;1</td><td align="center" valign="middle" >387</td><td align="center" valign="middle" >61.4</td></tr><tr><td align="center" valign="middle" >1 - 2</td><td align="center" valign="middle" >122</td><td align="center" valign="middle" >19.4</td></tr><tr><td align="center" valign="middle" >2 - 4</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >12.1</td></tr><tr><td align="center" valign="middle" >&gt;4</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >7.1</td></tr></tbody></table></table-wrap></table-wrap-group></sec></sec><sec id="s4"><title>4. Clinical Data</title><sec id="s4_1"><title>4.1. The Diagnosis Retained on Admission</title><p>The evacuees who did not present any real motive of reference accounted for 38.6%; mechanical dystocia was used as a diagnosis in 26.3% of cases (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>In 43% of cases the diagnosis was not consistent with the motive for the evacuation.</p></sec><sec id="s4_2"><title>4.2. The Mode of Delivery and the Condition of the Newborn</title><p>69.4% of evacuees delivered vaginally.</p><p>84.8% of newborns had apgar scores ≥7 and 08.3% of newborns died (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s4_3"><title>4.3. The Maternal Prognosis</title><p>In 89.5% of cases the evolution was satisfactory.</p><p>We noted 17 maternal deaths in the evacuees out of 23 maternal deaths recorded in the service during the study period, including 52.9% by post-partum hemorrhage (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec><sec id="s5"><title>5. Discussion</title><sec id="s5_1"><title>5.1. The Frequency of Obstetric Evacuation</title><p>In our study, the frequency of obstretic evacuation was 42.5%.</p><p>The frequencies vary from one study to another. This is due to the way patients are recruited, the criteria for inclusion, the importance of the center and its location area.</p><p>This high rate reported in our series could be explained by the fact that our hospital (study center) is the only reference university and hospital center located in province; It is in the second largest city of Cote d’Ivoire and covers a radius of about 200 km.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of patients according to diagnosis on admission</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >diagnosis</th><th align="center" valign="middle" >population</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Diagnosis retained</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >- Evacuees without problems</td><td align="center" valign="middle" >243</td><td align="center" valign="middle" >38.6</td></tr><tr><td align="center" valign="middle" >- Mechanical dystocia</td><td align="center" valign="middle" >166</td><td align="center" valign="middle" >26.3</td></tr><tr><td align="center" valign="middle" >- acute foetal suffering</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >09.8</td></tr><tr><td align="center" valign="middle" >- high blood pressure and complications</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >07</td></tr><tr><td align="center" valign="middle" >- post partum Hemorrhage</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >04.6</td></tr><tr><td align="center" valign="middle" >- third term pregnancy Hemorrhagia</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >03.8</td></tr><tr><td align="center" valign="middle" >- Other</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >09.8</td></tr><tr><td align="center" valign="middle" >- total</td><td align="center" valign="middle" >630</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Concordant diagnosis</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >359</td><td align="center" valign="middle" >57</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >271</td><td align="center" valign="middle" >43</td></tr><tr><td align="center" valign="middle" >total</td><td align="center" valign="middle" >630</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of patients according to the mode of delivery and the condition of the newborn</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Delivery conditions</th><th align="center" valign="middle" >population</th><th align="center" valign="middle" >percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Mode of delivery</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Vaginal route</td><td align="center" valign="middle" >437</td><td align="center" valign="middle" >69.4</td></tr><tr><td align="center" valign="middle" >caesarean</td><td align="center" valign="middle" >177</td><td align="center" valign="middle" >28.1</td></tr><tr><td align="center" valign="middle" >laparotomy</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >02.5</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >630</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >Apgarscore</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥7</td><td align="center" valign="middle" >551</td><td align="center" valign="middle" >84.8</td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >08.3</td></tr><tr><td align="center" valign="middle" >1 - 6</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >06.9</td></tr><tr><td align="center" valign="middle" >total</td><td align="center" valign="middle" >650</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >condition of the newborn</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >satisfactory</td><td align="center" valign="middle" >516</td><td align="center" valign="middle" >79, 4</td></tr><tr><td align="center" valign="middle" >referred in neonatalogy</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >12.3</td></tr><tr><td align="center" valign="middle" >deceased</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >08.3</td></tr><tr><td align="center" valign="middle" >total</td><td align="center" valign="middle" >650</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distribution of patients according to maternal prognosis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >prognosis</th><th align="center" valign="middle" >population</th><th align="center" valign="middle" >percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Prognosis</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Satisfactory evolution</td><td align="center" valign="middle" >564</td><td align="center" valign="middle" >89.5</td></tr><tr><td align="center" valign="middle" >Complications</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >07.8</td></tr><tr><td align="center" valign="middle" >deaths</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >02.6</td></tr><tr><td align="center" valign="middle" >total</td><td align="center" valign="middle" >630</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >causes of death</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >- post partum Hemorrhage</td><td align="center" valign="middle" >09</td><td align="center" valign="middle" >52.9</td></tr><tr><td align="center" valign="middle" >- Eclampsia</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >23.5</td></tr><tr><td align="center" valign="middle" >- acute pulmonary edema</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >11; 7</td></tr><tr><td align="center" valign="middle" >- Brain embolism</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >05.9</td></tr><tr><td align="center" valign="middle" >- severe malaria</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >05.9</td></tr><tr><td align="center" valign="middle" >- total</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap></sec><sec id="s5_2"><title>5.2. Sociodemographic Profile</title><p>From the analysis of our results, the patients studied had many risk factors that could have been detected earlier to prevent certain complications.</p><p>The first factor identified is related to age. We have indeed noted a high rate of patient at the extreme ages of their fertility: 21% of adolescent girls and 13.5% of patients over 34 years. These are periods of high risk of complications in obstetrics. These situations are common in our regions because of socio-cultural habits. Indeed the area of Bouak&#233; is a semi-urban area where early marriages are common in the rural part. Moreover, in these rural areas the notion of family planning is hardly accepted, explaining that women over 34 continue to have children. Several authors have found the same thing as us by reporting high rates of adolescent girls in their study [<xref ref-type="bibr" rid="scirp.83516-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref8">8</xref>] .</p><p>The second risk factor found was parity. The majority of our patients were either nulliparous (34.4%) or multiparous (20.5%), who are 2 groups exposed to obstetric complications.</p><p>The third risk factor identified was the poor socio-economic conditions of the majority of our patients: 84.9% of patients had a low economic level, rates copied to those reported by Traore D. [<xref ref-type="bibr" rid="scirp.83516-ref7">7</xref>] and Macalou B. [<xref ref-type="bibr" rid="scirp.83516-ref9">9</xref>] and Cisse [<xref ref-type="bibr" rid="scirp.83516-ref10">10</xref>] ; and 62.7% were not educated.</p><p>These patients were thus exposed to the ignorance and financial difficulties of management of the pregnancy.</p><p>The last risk factor identified was poor pregnancy monitoring. Indeed, no patient had a good prenatal follow-up.</p><p>Given these different risk factors, it is therefore important to provide a high-performance evacuation system to reduce maternal mortality as advocated by Adamson Peter [<xref ref-type="bibr" rid="scirp.83516-ref2">2</xref>]</p></sec><sec id="s5_3"><title>5.3. The Evacuation Parameters</title><p>-health worker responsible for the evacuation</p><p>In our series 91.3% of the patients were evacuated by midwives, compared to 6% by doctors; several authors found such high rates of evacuation by midwives [<xref ref-type="bibr" rid="scirp.83516-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.83516-ref11">11</xref>] . On the other hand, Berthe D [<xref ref-type="bibr" rid="scirp.83516-ref12">12</xref>] in Mali noted in his study 34.4% evacuations made by doctors compared to 24.8% by midwives.</p><p>The high rate of evacuation performed by midwives testifies the fact that among medical staff they are the most numerous in the obstetrical health structures in Cote d’Ivoire (1 midwife for 2000 inhabitants compared to 1 doctor for 9000 inhabitants).</p><p>The retraining, upgrading and awareness of some midwives could help prevent abusive evacuations and delays in evacuation.</p><p>-Means of transport</p><p>74.6% of the patients were evacuated by taxi in our work; S&#233;pou [<xref ref-type="bibr" rid="scirp.83516-ref11">11</xref>] reported a rate of 68.6% whereas the ambulance was the most used means of evacuation in the series of Thiam [<xref ref-type="bibr" rid="scirp.83516-ref5">5</xref>] , Thera [<xref ref-type="bibr" rid="scirp.83516-ref13">13</xref>] , Guindo [<xref ref-type="bibr" rid="scirp.83516-ref14">14</xref>] .</p><p>The disadvantage of the transfer made in non-medical conditions is the aggravation of the health conditions of the patients.</p><p>It is therefore necessary that interventions aiming at improving the transport of women with complications be divided into two categories: those aiming at improving the transport of women from their community to the health center and those aiming at improving transport between two health centers of different levels [<xref ref-type="bibr" rid="scirp.83516-ref15">15</xref>] .</p><p>-The Admission delay</p><p>The average time taken by patients to access the reference center in our series was 1 h 21 minutes</p><p>The high admission time was due to road conditions, lack of vehicle and distance. It was also due to the lack of financial means, the non-acceptance of “the eventual cesarean section”. These reasons sent the parents home before going to the referral center.</p><p>The lack of medical transport and the high admission delay help to delay the referral of patients and this contributes to aggravate the fetomaternal prognosis</p></sec><sec id="s5_4"><title>5.4. Clinical Data</title><p>In 43% of the cases the diagnosis was not consistent and 38.6% of the evacuees had not presented a real reason for referral;</p><p>This evacuation would be triggered by a superficial diagnosis related to the quality of the health worker and / or the quality of the technical platform; The delivery could have been done in the first contact health center and avoid the cost of additional transportation.</p><p>Thera [<xref ref-type="bibr" rid="scirp.83516-ref13">13</xref>] noted in his study that 92.2% of references were adequate, 78.3% justified and 72.2% appropriate.</p><p>During the study period, we recorded 23 cases of maternal deaths including 17 discharged patients (74%) meeting our inclusion criteria; results comparable to those reported by Cisse ML: [<xref ref-type="bibr" rid="scirp.83516-ref10">10</xref>] and Tshalu-Aguemon [<xref ref-type="bibr" rid="scirp.83516-ref16">16</xref>] .</p><p>These patients arrived in our service in very precarious states due to the lack of adequate care before their transfer, the lack of adequate means of evacuation, the admission time delayed. Obstetric evacuation remains a negative factor in the maternal-fetal prognosis in our regions and makes access to effective care one of the solutions to the drama of maternal mortality.</p></sec></sec><sec id="s6"><title>6. Conclusions</title><p>This study enabled us to highlight that the evacuations were poorly organized. The patients were poorly prepared; they were evacuated in mediocre conditions worsening prognosis of mothers and newborns.</p><p>There is therefore a need to continue strengthening the capacity of peripheral maternity hospitals in terms of material and human resources to make them the minimum care facilities for obstetric emergencies; and to ensure the continuous training and retraining of health workers. This would contribute, through the reduction of certain factors aggravating the prognosis of the evacuated patients, to the reduction of maternal mortality which is still very high in our country.</p></sec><sec id="s7"><title>Cite this paper</title><p>Djanhan, L.E., Dia, J.M., Menin, M.M., Samak&#233;, Y., M’broh, C., Kouadio, K.N., Kouakou, K.P. and Doumbia, Y. (2018) Problem of Obstetrical Evacuations: About 630 Cases Collected at the Maternity of Bouake University Hospital. Open Journal of Obstetrics and Gynecology, 8, 253-262. https://doi.org/10.4236/ojog.2018.83027</p></sec></body><back><ref-list><title>References</title><ref id="scirp.83516-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2004) Maternal Mortality in 2000. Estimates Developed by WHO, UNICEF and UNFPA. WHO, Geneva.</mixed-citation></ref><ref id="scirp.83516-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Adamson, P. 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