<?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.2024.145058</article-id><article-id pub-id-type="publisher-id">OJOG-133143</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>
 
 
  Review of Maternal Deaths over 3 and a Half Years at the Kara University Hospital Center, Northern Togo: About 65 Cases
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Logbo-Akey</surname><given-names>Kossi Edem</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>D&amp;#233;d&amp;#233;</surname><given-names>R&amp;#233;gine Diane Ajavon</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>Kambote</surname><given-names>Yendoub&amp;#233;</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>Tenete</surname><given-names>Assiaham</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>Douaguibe</surname><given-names>Banguilane</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Agoro</surname><given-names>Sibabe</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Aboubakari</surname><given-names>Abdoul-Samadou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>D&amp;amp;#233;partement de Gyn&amp;amp;#233;cologie-Obst&amp;amp;#233;trique, Universit&amp;amp;#233; de Lom&amp;amp;#233;, Lom&amp;amp;#233;, Togo</addr-line></aff><aff id="aff4"><addr-line>Direction r&amp;amp;#233;gionale de la sant&amp;amp;#233;, Kara, Togo</addr-line></aff><aff id="aff2"><addr-line>Hopital M&amp;amp;#232;re-Enfat SOS Kara, Kara, Togo</addr-line></aff><aff id="aff1"><addr-line>D&amp;amp;#233;partement de Gyn&amp;amp;#233;cologie-Obst&amp;amp;#233;trique, Universit&amp;amp;#233; de Kara, Kara, Togo</addr-line></aff><pub-date pub-type="epub"><day>08</day><month>05</month><year>2024</year></pub-date><volume>14</volume><issue>05</issue><fpage>682</fpage><lpage>692</lpage><history><date date-type="received"><day>17,</day>	<month>January</month>	<year>2024</year></date><date date-type="rev-recd"><day>12,</day>	<month>May</month>	<year>2024</year>	</date><date date-type="accepted"><day>15,</day>	<month>May</month>	<year>2024</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>
 
 
  &lt;b&gt;Objec&lt;/b&gt;&lt;b&gt;tive: &lt;/b&gt;To analyze maternal deaths, identify causes and dysfunctions leading to these deaths in order to contribute to the implementation of strategies to reduce maternal mortality at CHU Kara. &lt;b&gt;Method: &lt;/b&gt;Cross-sectional descriptive study involving 65 cases of maternal deaths recorded at CHU-Kara from January 1, 2018 to June 30, 2021. &lt;b&gt;Results: &lt;/b&gt;Our study focused on 65 cases of maternal deaths recorded at the maternity ward of CHU-Kara. The average age was 30 years, with a range of 15 to 45 years. They were mostly housewives (52.3%), uneducated (38.5%), multiparous (41.5%), and referred (86.2%). The causes were mainly direct obstetric causes (81.54%), with preeclampsia and its complications (28.30%) and immediate postpartum hemorrhage (20.75%) being the most common. However, uterine rupture (20.5%) and post-abortion sepsis (16.4%) were the most lethal etiologies. Delayed evacuation (46.43%), inadequate transportation (91%), and insufficient prenatal care (72.31%) were the dysfunctions before referral. Within the CHU Kara, delays in management (58.46%), unavailability of blood and labile products (18%), and insufficient monitoring were the dysfunctions identified. Ninety-five point four percent (95.4%) of the deaths were preventable. &lt;b&gt;Conclusion:&lt;/b&gt; The magnitude of intrahospital maternal deaths, the various dysfunctions observed in the occurrence of maternal deaths before referral/evacuation and within the hospital highlight the importance of effectively implementing recommendations from audits in the fight against maternal mortality. The majority of the deaths were preventable (95.38%).
 
</p></abstract><kwd-group><kwd>Review of Maternal Deaths</kwd><kwd> CHU Kara</kwd><kwd> Togo</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Maternal mortality is the death of a woman during pregnancy or within 42 days after the termination of pregnancy, regardless of the duration or location of the pregnancy, due to any cause related to or aggravated by the pregnancy. Accidental or incidental causes are excluded [<xref ref-type="bibr" rid="scirp.133143-ref1">1</xref>] . It constitutes a major public health issue worldwide, especially in Sub-Saharan Africa. In fact, in 2020, approximately 70% of maternal deaths occurred in Sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.133143-ref2">2</xref>] . Like these countries, Togo also faces a high maternal mortality ratio of 396/100,000 live births in 2020 [<xref ref-type="bibr" rid="scirp.133143-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.133143-ref4">4</xref>] . These figures are quite alarming but do not tell the whole story. While it is important to continue monitoring the overall figures of maternal mortality at the global, regional, and national levels to identify causes of deaths and raise awareness among stakeholders, statistics on the magnitude of maternal mortality alone do not help determine what can be done to prevent these deaths [<xref ref-type="bibr" rid="scirp.133143-ref5">5</xref>] . Hence the need for surveillance of maternal deaths and response through case-by-case analysis to prevent similar cases from occurring with the same fatal outcome, whether in the same location or elsewhere.</p><p>In order to support the efforts of health policies in reducing maternal deaths, we conducted this study to determine the epidemiological profile and preventability of maternal deaths, highlighting the shortcomings in patient care with the aim of developing specific actions to recommend for reducing maternal deaths.</p></sec><sec id="s2"><title>2. Patients and Method</title><p>This was a series of maternal death cases audited at CHU Kara from January 1, 2018, to June 1, 2021, covering a period of 3 and a half years. All women who died at the maternity ward or in another department of CHU Kara during pregnancy, childbirth, or within 42 days after childbirth, and whose cause of death was neither accidental nor incidental, were included. Data collection was carried out using patient records, referral/counter-referral forms, registers, and maternal death notification forms. The study parameters included the sociodemographic profile of the deceased women (age, education level, occupation, parity), identified dysfunctions (referral dysfunctions, dysfunctions at the referral center), time of death, causes of death, preventability of deaths, level of dysfunction, and follow-up on audit recommendations. These data were processed and analyzed using software such as Word, Excel 2010, and Epi Info version 7. Confidentiality and anonymity were respected during the study.</p><p>Operational Definitions:</p><p>&#183; Appropriate care: correct application of treatment or any other intervention that meets the specific needs of a patient and complies with guidelines and other standards of medical profession.</p><p>&#183; Inappropriate care: incorrect application of treatment or any other intervention that does not meet the specific needs of a patient, non-compliant with guidelines and other standards of medical profession.</p><p>&#183; Avoidability of death: the presence of circumstances that, if corrected, could have prevented the fatal outcome.</p><p>Study Limitations</p><p>We faced difficulties in accessing data. The records, audit reports and documents were poorly filled and incomplete, with imprecise diagnoses, undetermined causes of death, and inadequate archiving.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Epidemiological Profile</title><sec id="s3_1_1"><title>3.1.1. Maternal Mortality Rate</title><p>In total, 65 maternal deaths were recorded and audited out of 7035 live births, resulting in an intra-hospital maternal mortality rate of 923.95/100,000 live births.</p></sec><sec id="s3_1_2"><title>3.1.2. Sociodemographic Profile</title><p>The average age of the victims was 30 &#177; 6.96 years, ranging from 15 to 45 years. They were mostly housewives, uneducated, and had few children. <xref ref-type="table" rid="table1">Table 1</xref> represents the distribution of patients according to socio-demographic profile.</p></sec></sec><sec id="s3_2"><title>3.2. Prenatal Follow-Up</title><p>The majority of deceased women (72.31%) had undergone less than 4 prenatal consultations (PNC), as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of deceased patients according to socio-demographic profile</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Socio-demographic profile</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >15 - 19</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >12.3</td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >15.4</td></tr><tr><td align="center" valign="middle" >25 - 29</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >16.9</td></tr><tr><td align="center" valign="middle" >30 - 34</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >23.1</td></tr><tr><td align="center" valign="middle" >35 - 39</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >27.7</td></tr><tr><td align="center" valign="middle" >≥40</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.6</td></tr><tr><td align="center" valign="middle" >Educational level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Uneducated</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >38.5</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >27.7</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >24.6</td></tr><tr><td align="center" valign="middle" >Superior</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >9.2</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >Occupation</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" >34</td><td align="center" valign="middle" >52.4</td></tr><tr><td align="center" valign="middle" >Shopkeeper</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >29.4</td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >7.7</td></tr><tr><td align="center" valign="middle" >University student</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >6.2</td></tr><tr><td align="center" valign="middle" >Government employee</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >4.6</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >100.0</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" >16</td><td align="center" valign="middle" >24.6</td></tr><tr><td align="center" valign="middle" >Primiparous</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >6.1</td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >41.5</td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >27.7</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of deceased women according to the number of CPN</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Number of CPN</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >23.1</td></tr><tr><td align="center" valign="middle" >1 - 3</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >49.2</td></tr><tr><td align="center" valign="middle" >&gt;4</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >27.7</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >100.0</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Malfunctions Identified</title><sec id="s3_3_1"><title>3.3.1. Reference Malfunctions</title><p>Fifty-six patients, or 86.2%, were referred or evacuated from peripheral centers to the Kara University Hospital. Nine, or 13.8%, came on their own. Dysfunctions were identified during the referral or evacuation of the women (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s3_3_2"><title>3.3.2. Malfunctions at the Reference Center</title><p>After the dysfunctions of the referral, deficiencies were also noted in the care at the referral center (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec></sec><sec id="s3_4"><title>3.4. Period of Death</title><p>Thirty-eight (38) patients died in the postpartum period (58.59%), as shown in this <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p></sec><sec id="s3_5"><title>3.5. Time of Occurrence of Deaths at the Referral Center</title><p>Deaths occurred within 24 hours after admission to CHU Kara. <xref ref-type="fig" rid="fig2">Figure 2</xref> illustrates the distribution of women according to the time of occurrence of death.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Reference/evacuation malfunctions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Reference malfunctions</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Qualification of the referring service provider</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Midwife</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >71.4</td></tr><tr><td align="center" valign="middle" >Accoucheuse</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >17.9</td></tr><tr><td align="center" valign="middle" >General practitioner</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3.6</td></tr><tr><td align="center" valign="middle" >Obstetrician</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >7.1</td></tr><tr><td align="center" valign="middle" >Means of transportation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Taxi</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >60.7</td></tr><tr><td align="center" valign="middle" >Motorcycle</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >30.3</td></tr><tr><td align="center" valign="middle" >Ambulance</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >9.0</td></tr><tr><td align="center" valign="middle" >Referral time</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;1 hour</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >16.1</td></tr><tr><td align="center" valign="middle" >1 to 2 hours</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >37.5</td></tr><tr><td align="center" valign="middle" >&gt;2 hours</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >46.4</td></tr><tr><td align="center" valign="middle" >Referred with venous access</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" >35</td><td align="center" valign="middle" >62.5</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >37.5</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Malfunctions noted in the support at the reference center</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Malfunctions at the reference center</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Delivery time at Kara University Hospital</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;30 min</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >41.5</td></tr><tr><td align="center" valign="middle" >30 - 60 min</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >26.2</td></tr><tr><td align="center" valign="middle" >&gt;60 min</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >32.3</td></tr><tr><td align="center" valign="middle" >Need for blood and labile products</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Satisfied need</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >62.1</td></tr><tr><td align="center" valign="middle" >Unsatisfied need</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >27.9</td></tr><tr><td align="center" valign="middle" >Quality of care received</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Appropriate</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >53.8</td></tr><tr><td align="center" valign="middle" >Inappropriate</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >46.2</td></tr><tr><td align="center" valign="middle" >Monitoring rhythm in the postpartum</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >15 min</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >20.5</td></tr><tr><td align="center" valign="middle" >30 min</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >10.3</td></tr><tr><td align="center" valign="middle" >1 - 2 hours</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >17.9</td></tr><tr><td align="center" valign="middle" >Not specified</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >51.3</td></tr><tr><td align="center" valign="middle" >Availability of the operating room*</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" >29</td><td align="center" valign="middle" >90.6</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.4</td></tr></tbody></table></table-wrap><p>*The indication for a surgical procedure in the operating room was made in 32 women.</p></sec><sec id="s3_6"><title>3.6. Causes of Death</title><p>Direct obstetric causes of maternal deaths accounted for 81.5% of cases (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Pre-eclampsia and its complications (28.3%), immediate postpartum hemorrhage (20.7%), uterine rupture (15.09%), and post-abortion sepsis (15.1%) were the main etiologies. In terms of lethality, uterine rupture (20.5%) and post-abortion sepsis (16.4%) were the most lethal causes of maternal death (<xref ref-type="fig" rid="fig4">Figure 4</xref>). Anemia (39.7%) and major hemoglobinopathies were the main causes of indirect deaths.</p></sec><sec id="s3_7"><title>3.7. Quality of Care Provided</title><p>The care provided was deemed appropriate in 35 cases of death, representing 53.8%. In 30 cases of death, the care provided was considered inappropriate, accounting for 46.2%.</p></sec><sec id="s3_8"><title>3.8. Avoidability of Maternal Death</title><p>According to the analysis of maternal deaths, it appears that 62 out of 65 deaths, or 95.4%, are avoidable. Three levels of avoidability have been identified, as illustrated in <xref ref-type="fig" rid="fig5">Figure 5</xref>.</p></sec><sec id="s3_9"><title>3.9. Effectiveness of Audit Recommendations</title><p>Following each audit, recommendations were formulated. There was no follow-up on these recommendations according to the defined deadlines.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The Kara region is characterized by the presence of a single national reference</p><p>center in the northern zone. We found an intra-hospital maternal mortality ratio of 923.95/100,000 live births at CHU-K. This rate is lower than that of Aboubakari et al. [<xref ref-type="bibr" rid="scirp.133143-ref6">6</xref>] , who found an intra-hospital maternal mortality ratio of 3600/100,000 live births from 2002 to 2005. Atade et al. in Benin found a rate of 1173 deaths per 100,000 live births between 2015 and 2019 [<xref ref-type="bibr" rid="scirp.133143-ref7">7</xref>] . A very low rate was reported in the same region in 2020 by Ajavon et al., who found 174.8 deaths per 100,000 live births [<xref ref-type="bibr" rid="scirp.133143-ref8">8</xref>] . The variation in rates between studies could be related to the difference in methodology. Indeed, the studies were conducted at two different periods, one where the financial coverage for cesarean sections was fully ensured by the patient and another period of free cesarean sections. Additionally, the study framework is not the same. Nevertheless, these rates are significantly higher than those in developed countries such as France, where Saucedo et al. reported a ratio of 10.8 deaths per 100,000 live births in 2021 [<xref ref-type="bibr" rid="scirp.133143-ref9">9</xref>] .</p><p>In Togo, according to the World Bank, the maternal death ratio was 399 deaths per 100,000 live births in 2020. This reflects the reality of the issue of maternal mortality in Togo specifically, and in sub-Saharan Africa in general, where the risk of maternal death during a woman’s lifetime is 1 in 37, compared to just 1 in 7800 in developed countries [<xref ref-type="bibr" rid="scirp.133143-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.133143-ref4">4</xref>] .</p><p>Young women aged 20 - 34 are the most affected because they have a high frequency of childbirth. The prevalence of this age group reflects the lifelong risk of maternal death in our communities, where the probability of a woman of reproductive age dying from a maternal cause is higher, at 1 in 49 in low-income regions, compared to 1 in 5300 in developed countries [<xref ref-type="bibr" rid="scirp.133143-ref2">2</xref>] . These women are often uneducated and primarily homemakers.</p><p>In 38.5% of cases, the deceased women were not educated, which reflects the illiteracy rate of women aged 15 to 49 in the Kara region, which was 50.2% in 2014 [<xref ref-type="bibr" rid="scirp.133143-ref3">3</xref>] . The vulnerability of uneducated women to maternal death may be related to the fact that women with education are four times more likely to use contraception, and according to Ahmed S et al., the use of a contraceptive method reduces maternal deaths by 29% [<xref ref-type="bibr" rid="scirp.133143-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.133143-ref11">11</xref>] . These women are characterized by their lack of knowledge about danger signs, preventive care, elements of good nutrition, and family planning.</p><p>The majority of these women had not received any prenatal care, even though prenatal visits allow for early diagnosis of pregnancy-related conditions and timely referral for proper management [<xref ref-type="bibr" rid="scirp.133143-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.133143-ref13">13</xref>] . It is imperative to strengthen the quality of prenatal care and communication for behavior change.</p><p>In 86.2% of cases, these women came from peripheral centers in the region that lacked adequate technical equipment and human resources for managing obstetric emergencies. Difficulties also arise when it comes to transportation to reach the referral center. Medical transportation was only available in 9% of cases. According to Diallo et al., a significant number of women die while waiting for transportation or during transportation to primary referral facilities due to inadequate emergency transportation [<xref ref-type="bibr" rid="scirp.133143-ref13">13</xref>] . In the region, we observe the central role of midwives in the referral/evacuation system. As a result, several continuous training programs have been implemented in the Kara region since 2017 to update clinical knowledge and strengthen skills as part of the quality improvement program in the 10 SONU (Safe Obstetric and Neonatal Care) centers in the region.</p><p>Dysfunctions were identified within the university hospital (CHU). These included delays in care, unavailability of the operating room and labile blood products, and insufficient postpartum monitoring. In response to these dysfunctions, it is important to strengthen human resources, initiate strategies for collecting and ensuring availability of blood products, and increase the capacity of the operating room.</p><p>Maternal deaths are due to two groups of obstetric causes: direct causes, often related to pregnancy-related conditions, and indirect causes, related to pre-existing conditions.</p><p>Pre-eclampsia and its complications, postpartum hemorrhage, and uterine rupture were the most common etiologies of direct causes, as reported in previous studies [<xref ref-type="bibr" rid="scirp.133143-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.133143-ref14">14</xref>] . In our study, uterine rupture and septicemia secondary to uterine manipulations for abortion were the most lethal etiologies. Our findings are comparable to those of Bohoussou et al. in Ivory Coast, who also reported uterine rupture and infections as the most lethal causes [<xref ref-type="bibr" rid="scirp.133143-ref15">15</xref>] . This highlights the importance of raising awareness about prenatal consultations, family planning, and improving the competence of healthcare providers in monitoring labor and delivery to detect anomalies early and facilitate timely referral.</p><p>The main indirect obstetric cause was primarily anemia. This reflects the reality of pregnant women in low-income countries, especially sub-Saharan Africa, with prevalence rates ranging from 52.8% to 61.3% [<xref ref-type="bibr" rid="scirp.133143-ref16">16</xref>] . Anemia is a significant risk factor for maternal morbidity. Major hemoglobinopathies were the second most common etiology of indirect causes of death in our study, accounting for 11.11%. The combination of major hemoglobinopathies and pregnancy is a high-risk situation for both the mother and the fetus [<xref ref-type="bibr" rid="scirp.133143-ref17">17</xref>] . Close monitoring is required for these women during pregnancy, delivery, and especially the postpartum period, which carries a high risk of complications. Encouraging premarital screening is also advisable to promote selective unions.</p><p>Concerning the avoidability of deaths, we estimated that 95.38% of deaths could be avoided without the help of the identified dysfunctions. Conclusion shared by Bohoussou et al. who reported 89% of preventable deaths [<xref ref-type="bibr" rid="scirp.133143-ref15">15</xref>] . On the other hand, Diassana et al. in Mali found 39% of maternal deaths to be preventable compared to 61% for inevitable deaths [<xref ref-type="bibr" rid="scirp.133143-ref18">18</xref>] . These deaths could be avoided if pregnant women normally attended health facilities, received good quality care and if patients were referred in time and taken care of quickly by a well-qualified agent working under good professional conditions [<xref ref-type="bibr" rid="scirp.133143-ref19">19</xref>] .</p></sec><sec id="s5"><title>5. Conclusions</title><p>Maternal mortality is a real public health problem. Its rate is very high at Kara University Hospital. The majority of victims are young, housewife, and non-educated women. Most of the deaths were preventable and occurred in the immediate postpartum period. The direct obstetric causes were identified. Dysfunctions were found both in the referral system and within Kara University Hospital. Beyond the high ratio of maternal deaths in our setting, there are individual and family, professional, and administrative dysfunctions hiding behind.</p><p>In order to reinforce the lessons learned from this study, further studies aimed at identifying areas for improvement for each cause of death would be greatly beneficial in formulating actions to reduce maternal mortality.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Edem, L.-A.K., Ajavon, D.R.D., Yendoub&#233;, K., Assiaham, T., Banguilane, D., Sibabe, A. and Abdoul-Samadou, A. (2024) Review of Maternal Deaths over 3 and a Half Years at the Kara University Hospital Center, Northern Togo: About 65 Cases. Open Journal of Obstetrics and Gynecology, 14, 682-692. https://doi.org/10.4236/ojog.2024.145058</p></sec></body><back><ref-list><title>References</title><ref id="scirp.133143-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">OMS (1995) Classification Statistique Internationale des Maladies et des Probl&amp;#232;mes de sant&amp;#233; Connexes, Dixi&amp;#232;me r&amp;#233;vision. 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