<?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><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/arsci.2023.112004</article-id><article-id pub-id-type="publisher-id">ARSci-124385</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>
 
 
  Maternal Deaths after Obstetrical Referral and/or Evacuation to the Obstetrics Gynecology Clinic of the Sylvanus Olympio University Hospital Center, Togo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ameyo</surname><given-names>Ayoko Ketevi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bidilukinu</surname><given-names>Katende</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>Akila</surname><given-names>Bassowa</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>Komlan</surname><given-names>Alessi Andele</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>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>Dédé</surname><given-names>Régine Diane 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>Abdoul</surname><given-names>Samadou Aboubakari</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>Koffi</surname><given-names>Akpadza</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Gynecology-Obstetrics, Faculty of Health Sciences, University of Kara, Kara, Togo</addr-line></aff><aff id="aff1"><addr-line>Department of Gynecology-Obstetrics, Faculty of Health Sciences, University of Lome, Lomé, Togo</addr-line></aff><pub-date pub-type="epub"><day>19</day><month>04</month><year>2023</year></pub-date><volume>11</volume><issue>02</issue><fpage>37</fpage><lpage>45</lpage><history><date date-type="received"><day>3,</day>	<month>February</month>	<year>2023</year></date><date date-type="rev-recd"><day>17,</day>	<month>April</month>	<year>2023</year>	</date><date date-type="accepted"><day>20,</day>	<month>April</month>	<year>2023</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>
 
 
  Introduction: Maternal death or maternal mortality is 
  “
  the death of a woman occurring during pregnancy or within 42 days of termination, regardless of duration or location, for any specific cause or aggravated by pregnancy or its management, but neither accidental nor fortuitous. Methods: This was a descriptive and analytical cross-sectional study carried out from January 1<sup>st</sup>, 2021 to April 30<sup>th</sup>, 2022 at the Obstetrics Gynecology Clinic of the Sylvanus Olympio University Hospital Center (SOUHC). Results: we noted 86 cases of maternal deaths after referral/evacuation i.e. a maternal mortality rate hospital of 555 maternal deaths per 100,000 LB.
   
  The average age of the patients was 31.1 &#177; 6.3 years with extremes of 15 and 45 years. In 33.7% of cases our patients were resellers. Multiparas represented 33.7% of the sample, they had performed less than three
   
  antenatal consultations. Postpartum hemorrhage was the reference reason in 33.7%. In 74.4% of cases, the patients referred had arrived by taxi. In 87.9% of cases, the patients had died of direct obstetric causes. Immediate postpartum hemorrhage accounted for 44.6% of cases and anemia, 36.4%. There is a statistically significant association between the availability of blood product and the avoidability of maternal death after obstetrical referral and/or evacuation (p value
   
  =
   
  0.0188
   
  &lt;
   
  0.05). Conclusion: Determining responsibility for maternal death is not always easy. There is an urgent need to strengthen the policy of reducing maternal mortality in Togo. This remains possible by developing communication strategies and a solid referral/counter-referral system.
 
</p></abstract><kwd-group><kwd>Maternal Death</kwd><kwd> Reference</kwd><kwd> Counter Reference</kwd><kwd> Togo</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>According to the World Health Organization (WHO), maternal death or maternal mortality is “the death of a woman during the pregnancy or within 42 days after the interruption, whatever its duration or location, for any cause whatsoever determined or aggravated by the pregnancy or its management, but neither accidental nor fortuitous” [<xref ref-type="bibr" rid="scirp.124385-ref1">1</xref>] . An obstetrical referral is the mechanism by which a maternity ward directs a patient who exceeds her skills, to a more specialized and better equipped structure (a hospital in general), for adequate care [<xref ref-type="bibr" rid="scirp.124385-ref2">2</xref>] .</p><p>Medical evacuation is the transfer of a patient from one health facility to another where the care is of a high standard, in an emergency context [<xref ref-type="bibr" rid="scirp.124385-ref2">2</xref>] . According to the WHO, around 800 women die every day from preventable causes related to pregnancy, childbirth or unsafe abortion [<xref ref-type="bibr" rid="scirp.124385-ref2">2</xref>] . The global maternal mortality ratio (MMR) in 2017 was estimated at 211/100,000 live births (LB) [<xref ref-type="bibr" rid="scirp.124385-ref3">3</xref>] . In sub-Saharan Africa, the MMR is estimated at 542/100,000 LB [<xref ref-type="bibr" rid="scirp.124385-ref4">4</xref>] . In Togo, it is estimated at 396/100,000 LB [<xref ref-type="bibr" rid="scirp.124385-ref5">5</xref>] , and at least 2 women die every day following pregnancy, childbirth or within 42 days [<xref ref-type="bibr" rid="scirp.124385-ref4">4</xref>] . Apart from known direct and indirect obstetrical causes of mortality, audits of maternal deaths in Togo show that these deaths are also attributable to the non-functionality of the referral and counter-referral system [<xref ref-type="bibr" rid="scirp.124385-ref6">6</xref>] . In the strategic option of strengthening primary health care, the peripheral care unit (PCU) is called upon to serve as a framework for the provision of integrated, continuous and comprehensive care, while the hospital must play the major role of orientation-recourse [<xref ref-type="bibr" rid="scirp.124385-ref6">6</xref>] . It has been noted that the search for this optimal situation of a coherent healthcare system always comes up against problems [<xref ref-type="bibr" rid="scirp.124385-ref7">7</xref>] . For this study, the following hypothesis was put forward: Maternal death after obstetrical referral and/or evacuation would be due to the lack of medical means of transport and blood products in the referral centers. We thought it appropriate to describe maternal deaths after obstetrical referral to the Obstetrics Gynecology Clinic of the SO UHC. More specifically, it was about:</p><p>&#173; Determine the MMR after obstetrical referrals to the SO UHC;</p><p>&#173; Describe the socio-epidemiological profile of women who died after referral;</p><p>&#173; Identify referral patterns and clinical characteristics.</p></sec><sec id="s2"><title>2. Methods</title><p>This was a descriptive and analytical cross-sectional study carried out from the 1<sup>st</sup> January 2021 to April 30, 2022 at the Obstetrics Gynecology Clinic of SO UHC. The study was conducted using a non-probability sampling technique for all pregnant women, parturients and mothers referred or evacuated to the clinic of obstetrics gynecology at the SO UHC and died during our period of study. Included were the records of pregnant women, parturients and given birth within 42 days postpartum, referred or evacuated to the Clinic of obstetrics gynecology at the SO UHC and died during our period of study. Were not included the records of pregnant women, parturients and given birth within 42 days postpartum, referred or evacuated to the Clinic of obstetrics gynecology at the SO UHC, who died during our period of study and that the family and the accompanying persons refused to be part of study (n = 4). All pregnant women, parturients and those who have given birth from them even at the Obstetrics Gynecology Clinic of the SO UHC and deceased during our study periods were excluded (n = 17). We made a individual survey sheet for each pregnant, parturient or childbirth referred and/or evacuated whose shortcomings have been improved following a preliminary test. The information was collected from accompanying persons and family members present, from the registration book to admission, referral cards, delivery room registers, mother-child pregnancy follow-up notebooks, resuscitation registers gynecological, and the operating room when a death was observed after a referral or evacuation. Data were processed using Epi Info software 7.2.5.0., the entry was made using the World 2010 software. The results expressed with a 95% confidence interval. Fischer’s Khi2 test was applied for the comparison of qualitative variables and the Student test for the comparison of means. The significance level chosen was 0.05. The principles of confidentiality and anonymity were respected. We have obtained the verbal consent of the accompanying persons of the pregnant, parturient and deceased births, so we both accepted the refusal (n = 4) and acceptance of the interview. A permission N&#176; 618/2022/MSHPAUS/CHU-SO/DIR/DRH/SERV.PERS was issued to us by the Medical Director of the SO UHC.</p></sec><sec id="s3"><title>3. Operational Definitions</title><p>&#173; Direct obstetric causes: These are those that result from complications obstetrics during pregnancy, labor and postpartum, interventions, omissions, incorrect treatment, negligence or of a chain of events resulting from pathologies.</p><p>&#173; Indirect obstetric causes: They result from a pre-existing disease or a condition appearing during pregnancy unrelated to causes obstetrical problems, but aggravated by the physiological effects of pregnancy or by its care.</p></sec><sec id="s4"><title>4. Results</title><sec id="s4_1"><title>4.1. Epidemiological Aspect</title><sec id="s4_1_1"><title>4.1.1. Hospital Frequency</title><p>We had recorded 15,502 parturient and giving birth pregnant including 7,874 referred and evacuated, i.e. 50.8%, among which we noted 86 cases of maternal deaths after referral/evacuation i.e. a maternal mortality rate hospital of 555 maternal deaths per 100,000 LB.</p></sec><sec id="s4_1_2"><title>4.1.2. Sociodemographic Data</title><p>The average age of the patients was 31.1 + 6.3 years with extremes of 15 and 45 years. The age group of 30 to 35 years accounted for 32.6%. In 33.7% of cases our patients were resellers (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s4_1_3"><title>4.1.3. Clinical Data</title><p>Risk factors:</p><p>Multiparous represented 33.7% of the sample, followed by grand multiparous in 20.9% of cases. In 73.3% of cases, our patients had performed less than three antenatal care (ANC), they had not performed ANC in 15% of cases and had performed more than 4 ANC in 15% of cases.</p><p>Reference pattern</p><p>Postpartum hemorrhage was the reference reason in 33.7% of cases followed by pre-eclampsia in 24.4% of cases (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Means of transport</p><p>In 74.4% of cases, the patients referred had arrived by taxi (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Causes of death:</p><p>In 87.9% (75) of the cases, the patients had died of obstetric causes direct and in 12.1% (11) of indirect obstetric causes. In the causes direct obstetrics, immediate postpartum hemorrhage accounted for 44.6% of cases and anemia accounted for 36.4% of cases of indirect obstetric causes (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of patients according to socio-demographic data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Effectif</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Age (year)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >[15 - 20[</td><td align="center" valign="middle" >06</td><td align="center" valign="middle" >06.9</td></tr><tr><td align="center" valign="middle" >[20 - 25[</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >11.6</td></tr><tr><td align="center" valign="middle" >[25 - 30[</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >22.1</td></tr><tr><td align="center" valign="middle" >[30 - 35[</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >32.6</td></tr><tr><td align="center" valign="middle" >[35 - 40[</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >21.0</td></tr><tr><td align="center" valign="middle" >[40 - 45]</td><td align="center" valign="middle" >05</td><td align="center" valign="middle" >05.8</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Socio-professional activity</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >33.7</td></tr><tr><td align="center" valign="middle" >Vendors</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >housewife</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >27.9</td></tr><tr><td align="center" valign="middle" >Hairdresser</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >16.3</td></tr><tr><td align="center" valign="middle" >student</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >12.8</td></tr><tr><td align="center" valign="middle" >others</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >09.3</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap><p>Others (seamstresses, cashiers, Beauticians).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of cases according to the reason for reference</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Effective</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Immediate postpartum haemorrhage</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >33.7</td></tr><tr><td align="center" valign="middle" >Hypertension/Pre eclampsia/Eclampsia</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >24.4</td></tr><tr><td align="center" valign="middle" >Anemia and pregnancy</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >12.8</td></tr><tr><td align="center" valign="middle" >Metrorrhagia</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >09.3</td></tr><tr><td align="center" valign="middle" >Childbirth labor</td><td align="center" valign="middle" >07</td><td align="center" valign="middle" >08.1</td></tr><tr><td align="center" valign="middle" >Respiratory distress</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >04.6</td></tr><tr><td align="center" valign="middle" >Infectious syndrome</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >02.3</td></tr><tr><td align="center" valign="middle" >Abruptio placenta</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >01.2</td></tr><tr><td align="center" valign="middle" >Hemoglobinopathy</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >01.2</td></tr><tr><td align="center" valign="middle" >Excessive fundal height</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >01,2</td></tr><tr><td align="center" valign="middle" >Not reported</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >01.2</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of cases by means of transport</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Effective</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Taxi</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >74.4</td></tr><tr><td align="center" valign="middle" >Personal car</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >12.8</td></tr><tr><td align="center" valign="middle" >Motorbike taxi</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >09.3</td></tr><tr><td align="center" valign="middle" >Ambulance</td><td align="center" valign="middle" >03</td><td align="center" valign="middle" >03.5</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >100.0</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 cases according to obstetric causes of death</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Effective</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Direct obstetrics (n = 75)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Immediate postpartum haemorrhage</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >44.6</td></tr><tr><td align="center" valign="middle" >Pre eclampsia/Eclampsia</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >29.7</td></tr><tr><td align="center" valign="middle" >Uterine rupture</td><td align="center" valign="middle" >09</td><td align="center" valign="middle" >12.1</td></tr><tr><td align="center" valign="middle" >Retro placental haematoma</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >10.8</td></tr><tr><td align="center" valign="middle" >Hemorrhagic abortion</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >01.4</td></tr><tr><td align="center" valign="middle" >Ectopic pregnancy</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >01.4</td></tr><tr><td align="center" valign="middle" >obst&#233;tricales indirectes (n = 11)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Anemia</td><td align="center" valign="middle" >04</td><td align="center" valign="middle" >36.4</td></tr><tr><td align="center" valign="middle" >Anesth&#233;sic shock</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >18.2</td></tr><tr><td align="center" valign="middle" >Covid-19</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >18.2</td></tr><tr><td align="center" valign="middle" >VIH/SIDA</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >18.2</td></tr><tr><td align="center" valign="middle" >Hemoglobinopathy</td><td align="center" valign="middle" >01</td><td align="center" valign="middle" >09.0</td></tr></tbody></table></table-wrap><p>Factors related to death:</p><p>In relation to the need for transfusion we found that blood was unavailable in 54.6% of cases and available in 3.5% of cases this difference is statistically significant with a P value = 0.0188. The unavailability of blood product is therefore a predisposing factor for maternal death after obstetric referral to the SO UHC. Among the cases of avoidable deaths 95.9% did not have a venous approach against 58.3% of cases who had them. This difference is statistically significant with a P value = 0.0010 &lt; 0.05. There is a statistically significant association between the availability of blood product and avoidability of maternal death after obstetrical referral and/or evacuation (p value = 0.0188 &lt; 0.05) (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec></sec><sec id="s5"><title>5. Discussion</title><p>We recorded 86 cases of maternal deaths after referral, giving an in-hospital maternal mortality rate of 555 maternal deaths after referral and/or evacuation per 100,000 NV. This rate is higher than the national norm in 2020 which was 396/100,000 NV [<xref ref-type="bibr" rid="scirp.124385-ref5">5</xref>] . Indeed, the incidence of maternal death varies from one continent to another, from one country to another and from one service to another in the same country [<xref ref-type="bibr" rid="scirp.124385-ref8">8</xref>] . Also, the SO UHC plays its role of national reference centre in the country where complicated cases converge; hence this high rate of maternal deaths after obstetrical referral. The average age of our patients was 31.1 &#177; 6.3 years with extremes of 15 and 45 years. The age group 30 - 35 years was mainly represented at 32.6%. This could be explained by the fact that this age group corresponds to the peak of fertility, hence the high rate of deliveries. In 33.7% of the cases, they were vendors or sellers, thus having a low socio-economic level. Our results are on line with the World Health Organization’s (WHO) asserting that maternal disability and death are most common among</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distribution of cases of maternal death after referral obstetrics and/or evacuation according to factors related to death at the CHU SO</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Preventable death</th><th align="center" valign="middle"  rowspan="2"  >Value of P*</th></tr></thead><tr><td align="center" valign="middle" >Yes (Percentage)</td><td align="center" valign="middle" >No (Percentage)</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle" >Need for transfusion</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="5"  >0.0188</td></tr><tr><td align="center" valign="middle" >Blood available Blood not</td><td align="center" valign="middle" >2 (2.5)</td><td align="center" valign="middle" >1 (12.5)</td><td align="center" valign="middle" >3 (3.5)</td></tr><tr><td align="center" valign="middle" >available</td><td align="center" valign="middle" >46 (58.9)</td><td align="center" valign="middle" >1 (12.5)</td><td align="center" valign="middle" >47 (54.6)</td></tr><tr><td align="center" valign="middle" >No need for transfusion</td><td align="center" valign="middle" >30 (38.4)</td><td align="center" valign="middle" >6 (75.0)</td><td align="center" valign="middle" >36 (41.9)</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >78 (100.0)</td><td align="center" valign="middle" >8 (100.0)</td><td align="center" valign="middle" >86 (100.0)</td></tr><tr><td align="center" valign="middle" >Venous access</td><td align="center" valign="middle"  colspan="3"  ></td><td align="center" valign="middle"  rowspan="4"  >0.0010</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >7 (58.3)</td><td align="center" valign="middle" >5 (41.7)</td><td align="center" valign="middle" >12 (13.9)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >71 (95.9)</td><td align="center" valign="middle" >3 (4.1)</td><td align="center" valign="middle" >74 (86.6)</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >78 (90.7)</td><td align="center" valign="middle" >8 (9.3)</td><td align="center" valign="middle" >86 (100.0)</td></tr></tbody></table></table-wrap><p>*: File Test.</p><p>poor, uneducated and rural women [<xref ref-type="bibr" rid="scirp.124385-ref9">9</xref>] . They were multiparous in 33.7% of cases. On the other hand, Leki and al in the Democratic Republic of Congo [<xref ref-type="bibr" rid="scirp.124385-ref10">10</xref>] , reported a maternal death rate of 77.8% among multiparous women. In fact, these multiparous women think they have experience in pregnancy and do not feel too embarrassed about monitoring their pregnancy, especially as 73.3% of patients had undergone less than three ANCs; the number of ANCs being one of the quality criteria for ANC. Post partum haemorrhage was the main reason for referral in 33.7% of cases, followed by hypertension/pre-eclampsia in 24.4% of cases. Gueye and al in Senegal in 2020 [<xref ref-type="bibr" rid="scirp.124385-ref11">11</xref>] reported cases of hypertension and its complications in 46.2%, followed by immediate postpartum haemorrhage in 18.7%. Indeed, whatever its rank, post partum haemorrhage constitutes an obstetric emergency and the referral is a determining factor in the occurrence of maternal deaths. In practice, there is an inadequate referral/evacuation system, i.e. insufficient communication between the lower level health centres and the referral hospital, with poorly filled in referral forms. In addition, the majority of the medical and social centres do not have ambulances to allow the transport of patients in medical conditions (2nd delay). Thus, much effort remains to be made concerning the referral system in our country. Direct causes predominate (87.9%) over indirect causes. Thus, in order of frequency, the causes of death were represented by immediate post-partum haemorrhage (44.6%), hypertensive causes (29.7%) and its complications. This is often found in the African literature [<xref ref-type="bibr" rid="scirp.124385-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.124385-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.124385-ref13">13</xref>] . This alarming finding is linked to the fact that parturients, pregnant and delivered after a long stay in health posts and social medical centres, poorly monitored, were evacuated in a state of shock and sometimes without a venous line, without medical transport to the department (74.4% were evacuated by taxi), whereas the gynaecology-obstetrics clinic does not have its own blood bank. Arterial hypertension (29.7%) is particularly dangerous because of its complications. This high lethality reveals a failure in the quality of ANC. Anemia is a significant risk factor for maternal morbidity. In some cases, the causes of death were not obvious. There are several technical factors (insufficient number of forensic doctors, and the non-institutionalisation of systematic autopsy in our country) and socio-cultural factors (religious, ethnic, cultural...) that block the systematic performance of autopsy. Also, this mecho-legal act is often considered by the parents as a desecration and also the pain of the parents, such as a stab in the heart, they prefer to leave the place and organise as quickly as possible the funeral ceremonies for the one who died while giving life. The absence of a venous approach before any evacuation is a predisposing factor for maternal death after an obstetric referral and/or evacuation to the hospital. In 90.7% of cases of preventable death, 95.9% did not have a venous access compared to 58.3% of cases that did. This difference was statistically significant with a p value = 0.0010 &lt; 0.05. The unavailability of blood product is a predisposing factor for maternal death after obstetric referral and/or evacuation to the SO UHC. There is a statistically significant association between the availability of blood products and the avoidability of maternal death after obstetric referral and/or evacuation (p value = 0.0188 &lt; 0.05).</p></sec><sec id="s6"><title>6. Conclusion</title><p>Determining responsibility for maternal death is not always easy, particularly in the context of daily practice in developing countries where this mortality after obstetric referral and/or evacuation is multifactorial. This work shows that the rate of maternal mortality in hospital after obstetrical referral and/or evacuation, at the CHUSO is very high compared to the national standard. The main causes were hemorrhage and pre-eclampsia/eclampsia for direct ones and anemia for indirect ones. Other factors relating to the patient, the community and the health organization are also involved in the occurrence of her maternal deaths after referral and/or obstetrical evacuation. Has on the verge of achieving the Sustainable Development Goals, there is therefore an urgent need to strengthen the mortality reduction policy in Togo. This remains possible in developing communication strategies and a referral/counter system solid reference.</p></sec><sec id="s7"><title>Limitations of the Study</title><p>Verbal autopsy which did not allow access to all information.</p><p>&#173; The selection of deaths after referral or evacuation by excluding patients who died but came to the hospital on their own.</p><p>&#173; The absence of a systematic autopsy, limited the discovery of the etiologies of some maternal death.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Ketevi, A.A., Katende, B., Bassowa, A., Andele, K.A., Douaguibe, B., Ajavon, D.R.D., Aboubakari, A.S. and Akpadza, K. (2023) Maternal Deaths after Obstetrical Referral and/or Evacuation to the Obstetrics Gynecology Clinic of the Sylvanus Olympio University Hospital Center, Togo. 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