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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojog</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Obstetrics and Gynecology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2160-8806</issn>
      <issn pub-type="ppub">2160-8792</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojog.2026.165070</article-id>
      <article-id pub-id-type="publisher-id">ojog-151219</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Discharge against Medical Advice in Obstetrics and Gynecology Units of Two Hospitals of Yaoundé</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0007-0586-9863</contrib-id>
          <name name-style="western">
            <surname>Nyada</surname>
            <given-names>Serge Robert</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Foyet</surname>
            <given-names>Edith Cynthia</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Nsahlaï</surname>
            <given-names>Christiane</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ebontane</surname>
            <given-names>Cliford Ebong</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Tompeen</surname>
            <given-names>Isidore</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mboua</surname>
            <given-names>Véronique Batoum</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Emenguele</surname>
            <given-names>Pascale Mpono</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mendoua</surname>
            <given-names>Michèle</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Nseme</surname>
            <given-names>Eric</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Sama</surname>
            <given-names>Julius Dohbit</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon </aff>
      <aff id="aff2"><label>2</label> Gynecological Endoscopic Surgery and Human Reproduction Teaching Hospital, Yaoundé, Cameroon </aff>
      <aff id="aff3"><label>3</label> Obs and Gyn Unit, Central Hospital of Yaoundé, Yaoundé, Cameroon </aff>
      <aff id="aff4"><label>4</label> Obs and Gyn Unit, Gynaeco-Obstetric and Paediatric Hospital of Yaoundé, Yaoundé, Cameroon </aff>
      <aff id="aff5"><label>5</label> Obs and Gyn Unit, University Teaching Hospital of Yaoundé, Yaoundé, Cameroon </aff>
      <aff id="aff6"><label>6</label> Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>09</day>
        <month>05</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>05</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>05</issue>
      <fpage>722</fpage>
      <lpage>731</lpage>
      <history>
        <date date-type="received">
          <day>01</day>
          <month>04</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>10</day>
          <month>05</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>13</day>
          <month>05</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojog.2026.165070">https://doi.org/10.4236/ojog.2026.165070</self-uri>
      <abstract>
        <p><bold>Introduction:</bold> Discharge against medical advice is a public health problem affecting all healthcare facilities worldwide. It can have serious repercussions for the patient. The objective of this study was to determine the frequency and typical profile of patients who were discharged against medical advice in the gynecology and obstetrics departments of Yaoundé. <bold>Methods</bold><bold>and</bold><bold>Materials:</bold> We conducted a descriptive cross-sectional study in two hospitals in Yaoundé, covering the period from January 2022 to December 2024. <bold>Results:</bold> Of the 4476 admissions recorded, we observed 174 cases of discharge against medical advice and retained 143 patient files. The median age was 27 years. 60.8% of the patients had a secondary education, and 56.7% had no income. They consulted spontaneously in 56.6% of cases for pelvic pain (48.3%) and vaginal bleeding (38.5%). The main diagnoses upon admission were postpartum hemorrhage (20.3%), severe malaria during pregnancy (14.7%), and premature rupture of membranes (13.3%). Discharge against medical advice was initiated by the patient in 39.2% of cases; it was justified by financial difficulties (85.3%). The discharge against medical advice form was present in 75.5% of cases but did not meet all compliance criteria. <bold>Conclusion:</bold> Discharges against medical advice from gynecology and obstetrics services primarily involved young women and were justified by financial difficulties.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Discharge against Medical Advice</kwd>
        <kwd>Gynecology and Obstetrics</kwd>
        <kwd>Determinants</kwd>
        <kwd>Yaoundé</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Discharge against medical advice (DAMA) is a concept used in medicine to indicate that a patient, despite being fully aware of the potential complications of their illness, decides to discontinue the proposed treatment and leave the hospital [<xref ref-type="bibr" rid="B1">1</xref>]. It represents a discontinuity in the administration of care that has repercussions for the patient and their family, characterized by relapses, readmissions, increased medical costs, and even death [<xref ref-type="bibr" rid="B1">1</xref>]. Various factors are associated with DAMA, including individual, environmental, and sociocultural factors. On an individual level, insufficient financial resources, preference for traditional treatment, erroneous sensation of improved medical condition, and a lack of trust in the healthcare team are cited as contributing factors. Environmental factors include the high cost of healthcare, long waiting times, commercialization of medicine, poor communication, and inadequate support. Finally, on a sociocultural level, the absence of family and spiritual support is cited as a contributing factor [<xref ref-type="bibr" rid="B1">1</xref>]-[<xref ref-type="bibr" rid="B3">3</xref>]. The frequency of DAMA in emergency services in a US study was 2.7% [<xref ref-type="bibr" rid="B4">4</xref>]. It was 7.2% in Nigeria in 2011 [<xref ref-type="bibr" rid="B5">5</xref>].</p>
      <p>The lack of data concerning this phenomenon in gynecology and obstetrics services in Cameroon motivated the present study; the objective was to draw up the situation regarding discharges against medical advice in the city of Yaoundé.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methodology</title>
      <p>We conducted a descriptive cross-sectional study with retrospective data collection covering the period from January 1, 2022, to December 31, 2024. The study setting was the gynecology and obstetrics units of the Central Hospital of Yaoundé and the Gynaeco-Obstetric and Paediatric Hospital of Yaoundé.</p>
      <p>The study population consisted of all admitted patients. We included all those who were discharged against medical advice and who had usable medical records. The case inclusion was exhaustive over the study period. </p>
      <p>We identified patients who were reported as discharged against medical advice on every admission’s log. The medical records were retrieved and phone numbers were identified. Patients were called in order to obtain verbal informed consent and interviewed. During the interview, data in relation to reasons for leaving the hospital and destination were collected.</p>
      <p>Ethical clearance was obtained from the Institutional Research Ethics Committee of the Faculty of Medicine and Biomedical Sciences at the University of Yaoundé I.</p>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <p>During the study period, we recorded 4476 admissions to the obstetrics and gynecology units, of which 174 were discharged against medical advice (DAMA), representing a frequency of 3.89%. We excluded 31 cases and ultimately retained 143 patient records.</p>
      <p>The median age of the patients was 27 years, with an interquartile range of 22 to 32 years and a range of 17 to 62 years (see <bold>Table 1</bold>). The most represented age group was 20 - 29 years, with 69 cases (48.3%). Adolescents accounted for 21 cases (14.7%). Regarding marital status, 69 patients (48.3%) were single. A secondary education level was reported in 87 patients (60.8%). Unemployed patients and students accounted for 77 (56.7%). The majority of patients resided in the city of Yaoundé (84.6%).</p>
      <p><bold>Table 1</bold><bold>.</bold> Population distribution according to socio-demographic data.</p>
      <table-wrap id="tbl1">
        <label>Table 1</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Variables</bold>
              </td>
              <td>
                <bold>Occurrence (N = 143)</bold>
              </td>
              <td>
                <bold>Percentage (%)</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>Age</bold>
                <bold>(years)</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>&lt;20</td>
              <td>21</td>
              <td>14.7</td>
            </tr>
            <tr>
              <td>20 - 29</td>
              <td>69</td>
              <td>48.3</td>
            </tr>
            <tr>
              <td>30 - 39</td>
              <td>46</td>
              <td>32.2</td>
            </tr>
            <tr>
              <td>40 - 49</td>
              <td>5</td>
              <td>3.5</td>
            </tr>
            <tr>
              <td>≥50</td>
              <td>2</td>
              <td>1.4</td>
            </tr>
            <tr>
              <td>
                <bold>Marital</bold>
                <bold>status</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Single</td>
              <td>69</td>
              <td>48.3</td>
            </tr>
            <tr>
              <td>Married</td>
              <td>38</td>
              <td>26.6</td>
            </tr>
            <tr>
              <td>Cohabitation</td>
              <td>34</td>
              <td>23.8</td>
            </tr>
            <tr>
              <td>Widow</td>
              <td>2</td>
              <td>1.4</td>
            </tr>
            <tr>
              <td>
                <bold>Level</bold>
                <bold>of</bold>
                <bold>study</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Primary</td>
              <td>14</td>
              <td>9.8</td>
            </tr>
            <tr>
              <td>Secondary</td>
              <td>87</td>
              <td>60.8</td>
            </tr>
            <tr>
              <td>High</td>
              <td>42</td>
              <td>29.4</td>
            </tr>
            <tr>
              <td>
                <bold>Occupation</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Unemployed/Jobless</td>
              <td>44</td>
              <td>30.8</td>
            </tr>
            <tr>
              <td>Informal sector</td>
              <td>42</td>
              <td>29.4</td>
            </tr>
            <tr>
              <td>Student</td>
              <td>37</td>
              <td>25.9</td>
            </tr>
            <tr>
              <td>Private sector</td>
              <td>12</td>
              <td>8.4</td>
            </tr>
            <tr>
              <td>Civil servant</td>
              <td>8</td>
              <td>5.6</td>
            </tr>
            <tr>
              <td>
                <bold>Residence</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yaoundé</td>
              <td>121</td>
              <td>84.6</td>
            </tr>
            <tr>
              <td>Yaoundé outskirts</td>
              <td>17</td>
              <td>11.9</td>
            </tr>
            <tr>
              <td>Other towns</td>
              <td>5</td>
              <td>3.5</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>Table 2</bold>, showing the patients’ comorbidities and gynecological history, indicates that multiparous and grand multiparous women constituted 13.3%. The frequency of comorbidities was 7%, dominated by HIV infection and high blood pressure.</p>
      <p><bold>Table 2</bold><bold>.</bold> Distribution of the population according to comorbidities and gynecological history.</p>
      <table-wrap id="tbl2">
        <label>Table 2</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Variables</bold>
              </td>
              <td>
                <bold>Occurrence (N = 143)</bold>
              </td>
              <td>
                <bold>Percentage (%)</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>Parity</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Nulliparous (0)</td>
              <td>42</td>
              <td>29.4</td>
            </tr>
            <tr>
              <td>Primiparous (1)</td>
              <td>34</td>
              <td>23.8</td>
            </tr>
            <tr>
              <td>Pauciparous (2 - 3)</td>
              <td>48</td>
              <td>33.6</td>
            </tr>
            <tr>
              <td>Multiparous (4 - 5)</td>
              <td>16</td>
              <td>11.2</td>
            </tr>
            <tr>
              <td>Grand multiparous (≥6)</td>
              <td>3</td>
              <td>2.1</td>
            </tr>
            <tr>
              <td>
                <bold>Comorbidities</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>None</td>
              <td>133</td>
              <td>93</td>
            </tr>
            <tr>
              <td>HIV infection</td>
              <td>6</td>
              <td>4.2</td>
            </tr>
            <tr>
              <td>High blood pressure</td>
              <td>3</td>
              <td>2.1</td>
            </tr>
            <tr>
              <td>Diabetes</td>
              <td>1</td>
              <td>0.7</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Regarding the mode of admission, 81 patients (56.6%) came on their own initiative and were accompanied by a family member in 135 (94.4%). The most frequent reasons for admission were abdominopelvic pain (48.3%), vaginal bleeding (38.5%), asthenia (26.6%), and headaches (17.5%), as shown in <bold>Table 3</bold> below.</p>
      <p><bold>Table 3</bold><bold>.</bold> Distribution according to mode and reason for admission.</p>
      <table-wrap id="tbl3">
        <label>Table 3</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Variables</bold>
              </td>
              <td>
                <bold>Occurrence (N = 143)</bold>
              </td>
              <td>
                <bold>Percentage (%)</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>Admission</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Own initiative</td>
              <td>81</td>
              <td>56.6</td>
            </tr>
            <tr>
              <td>Referred</td>
              <td>62</td>
              <td>43.4</td>
            </tr>
            <tr>
              <td>
                <bold>Patient</bold>
                <bold>assisted</bold>
                <bold>by</bold>
                <bold>family</bold>
                <bold>member</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>135</td>
              <td>94.4</td>
            </tr>
            <tr>
              <td>No</td>
              <td>8</td>
              <td>5.6</td>
            </tr>
            <tr>
              <td>
                <bold>Reasons</bold>
                <bold>of</bold>
                <bold>admission</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Abdominopelvic pain</td>
              <td>69</td>
              <td>48.3</td>
            </tr>
            <tr>
              <td>Per vaginal bleeding</td>
              <td>55</td>
              <td>38.5</td>
            </tr>
            <tr>
              <td>Asthenia</td>
              <td>38</td>
              <td>26.6</td>
            </tr>
            <tr>
              <td>Headaches</td>
              <td>25</td>
              <td>17.5</td>
            </tr>
            <tr>
              <td>Per vaginal loss of liquor</td>
              <td>19</td>
              <td>13.3</td>
            </tr>
            <tr>
              <td>Fever</td>
              <td>10</td>
              <td>7</td>
            </tr>
            <tr>
              <td>Vomiting</td>
              <td>5</td>
              <td>3.5</td>
            </tr>
            <tr>
              <td>Seizure</td>
              <td>4</td>
              <td>2.8</td>
            </tr>
            <tr>
              <td>Swelling</td>
              <td>2</td>
              <td>1.4</td>
            </tr>
            <tr>
              <td>Blurred vision</td>
              <td>1</td>
              <td>0.7</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows that postpartum haemorrhage (20.3%), severe malaria during pregnancy (14.7%) and premature rupture of membranes (13.3%) were the main diagnoses on admission.</p>
      <fig id="fig1">
        <label>Figure 1</label>
        <graphic xlink:href="https://html.scirp.org/file/1433968-rId15.jpeg?20260513100922" />
      </fig>
      <p><bold>Figure 1.</bold> Population distribution according to admission diagnoses.</p>
      <p>The median length of hospital stay was two days (interquartile range 1 - 3 days), with a range of 1 to 10 days. Discharge was initiated between the first and second day in 107 cases (74.8%), as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p>
      <fig id="fig2">
        <label>Figure 2</label>
        <graphic xlink:href="https://html.scirp.org/file/1433968-rId16.jpeg?20260513100922" />
      </fig>
      <p><bold>Figure 2.</bold> Population distribution according to length of hospital admission.</p>
      <p><bold>Table 4</bold> below presents the potential factors for discharge. The behavior of medical staff was considered pleasant in 141 cases (98.6%), the technical facilities of the healthcare center were adequate in 142 (99.3%), and a waiting time of less than 30 minutes before being seen was recorded in 111 cases (77.6%). Financial barrier was reported in 127 cases (88.8%).</p>
      <p><bold>Table 4</bold><bold>.</bold> Distribution according to potential exit factors.</p>
      <table-wrap id="tbl4">
        <label>Table 4</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Variables</bold>
              </td>
              <td>
                <bold>Occurrence (N = 143)</bold>
              </td>
              <td>
                <bold>Percentage (%)</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>Good</bold>
                <bold>perception</bold>
                <bold>of</bold>
                <bold>healthcare</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>143</td>
              <td>100</td>
            </tr>
            <tr>
              <td>No</td>
              <td>0</td>
              <td>0</td>
            </tr>
            <tr>
              <td>
                <bold>Behavior</bold>
                <bold>of</bold>
                <bold>medical</bold>
                <bold>staff</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Friendly</td>
              <td>141</td>
              <td>98.6</td>
            </tr>
            <tr>
              <td>Indifferent</td>
              <td>1</td>
              <td>0.7</td>
            </tr>
            <tr>
              <td>Aggressive</td>
              <td>1</td>
              <td>0.7</td>
            </tr>
            <tr>
              <td>
                <bold>Adeq</bold>
                <bold>uate</bold>
                <bold>equipment</bold>
                <bold>and</bold>
                <bold>in</bold>
                <bold>frastructures</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>142</td>
              <td>99.3</td>
            </tr>
            <tr>
              <td>No</td>
              <td>1</td>
              <td>0.7</td>
            </tr>
            <tr>
              <td>
                <bold>Waiting</bold>
                <bold>time</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>&lt;30 minutes</td>
              <td>111</td>
              <td>77.6</td>
            </tr>
            <tr>
              <td>30 - 59 minutes</td>
              <td>32</td>
              <td>22.4</td>
            </tr>
            <tr>
              <td>
                <bold>Financial</bold>
                <bold>barrier</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>127</td>
              <td>88.8</td>
            </tr>
            <tr>
              <td>No</td>
              <td>16</td>
              <td>11.2</td>
            </tr>
            <tr>
              <td>
                <bold>Understanding</bold>
                <bold>of</bold>
                <bold>medical</bold>
                <bold>instructions</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>137</td>
              <td>95.8</td>
            </tr>
            <tr>
              <td>No</td>
              <td>6</td>
              <td>4.2</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Regarding the discharge initiative (<bold>Table 5</bold>), the patient and her parents were the initiators in 56 (39.2%) and 43 (30.1%) cases, respectively. Financial difficulties and a perception of excessively long waiting time were the most frequently cited reasons, with 120 (83.9%) and 15 (10.5%) cited reasons, respectively. After discharge, 136 patients (95.1%) returned home. The outcome was marked by readmission to the same healthcare facility in 20 cases (14%) due to complications.</p>
      <p><bold>Table 5</bold><bold>.</bold> Distribution according to discharge method and patient outcome.</p>
      <table-wrap id="tbl5">
        <label>Table 5</label>
        <table>
          <tbody>
            <tr>
              <td>Variables</td>
              <td>Occurrence(N = 143)</td>
              <td>Percentage(%)</td>
            </tr>
            <tr>
              <td>
                <bold>Nature</bold>
                <bold>of</bold>
                <bold>the</bold>
                <bold>initiator</bold>
                <bold>of</bold>
                <bold>DAMA</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Patient</td>
              <td>56</td>
              <td>39.2</td>
            </tr>
            <tr>
              <td>Parents</td>
              <td>43</td>
              <td>30</td>
            </tr>
            <tr>
              <td>Husband</td>
              <td>37</td>
              <td>25.9</td>
            </tr>
            <tr>
              <td>Other family member</td>
              <td>7</td>
              <td>4.9</td>
            </tr>
            <tr>
              <td>
                <bold>Reasons</bold>
                <bold>of</bold>
                <bold>DAMA</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Financial difficulties</td>
              <td>120</td>
              <td>83.9</td>
            </tr>
            <tr>
              <td>Excessive long waiting time</td>
              <td>15</td>
              <td>10.5</td>
            </tr>
            <tr>
              <td>Fright and frustration from hospital personnel</td>
              <td>7</td>
              <td>4.9</td>
            </tr>
            <tr>
              <td>Inadequate healthcare or services</td>
              <td>1</td>
              <td>0.7</td>
            </tr>
            <tr>
              <td>
                <bold>Destination</bold>
                <bold>after</bold>
                <bold>DAMA</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Home</td>
              <td>136</td>
              <td>95.1</td>
            </tr>
            <tr>
              <td>Other health facility</td>
              <td>7</td>
              <td>4.9</td>
            </tr>
            <tr>
              <td>
                <bold>Readmission</bold>
                <bold>in</bold>
                <bold>the</bold>
                <bold>same</bold>
                <bold>hospital</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Yes</td>
              <td>20</td>
              <td>14</td>
            </tr>
            <tr>
              <td>No</td>
              <td>123</td>
              <td>86</td>
            </tr>
            <tr>
              <td>
                <bold>Diagnosis</bold>
                <bold>upon</bold>
                <bold>readmission</bold>
                <bold>(n = 20)</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Hypovolemic shock</td>
              <td>4</td>
              <td>20</td>
            </tr>
            <tr>
              <td>Ruptured ectopic pregnancy</td>
              <td>3</td>
              <td>15</td>
            </tr>
            <tr>
              <td>Eclampsia</td>
              <td>3</td>
              <td>15</td>
            </tr>
            <tr>
              <td>Others (fever, pain, bleeding)</td>
              <td>10</td>
              <td>50</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>Table 6</bold> summarizes the medico-legal conditions of the DAMA. It shows that 14 patients (9.8%) had no document attesting to their signature on the DAMA (n = 14). Regarding the designation of DAMA, it was a separate form in 108 cases (75.5%) and the patient’s medical file in 21 cases (14.7%). As part of the information reported on the form, there were: patient’s understanding of the risks incurred in 128 cases (99.2%), patient’s signature in 111 cases (86%), and signature of the patient’s witness in 80 cases (55.9%). Still, there were missing components.</p>
      <p><bold>Table 6</bold><bold>.</bold> Distribution according to the components of the DAMA form.</p>
      <table-wrap id="tbl6">
        <label>Table 6</label>
        <table>
          <tbody>
            <tr>
              <td>Variables</td>
              <td>Occurrence</td>
              <td>Percentage (%)</td>
            </tr>
            <tr>
              <td>
                <bold>Type</bold>
                <bold>of</bold>
                <bold>form</bold>
                <bold>used</bold>
                <bold>(n = 143)</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Designated form</td>
              <td>108</td>
              <td>75.5</td>
            </tr>
            <tr>
              <td>Medical record of the patient</td>
              <td>21</td>
              <td>14.7</td>
            </tr>
            <tr>
              <td>No form</td>
              <td>14</td>
              <td>9.8</td>
            </tr>
            <tr>
              <td>
                <bold>Components</bold>
                <bold>of</bold>
                <bold>DAMA</bold>
                <bold>form</bold>
                <bold>(n = 129)</bold>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Patient’s understanding of the risks incurred</td>
              <td>128</td>
              <td>99.2</td>
            </tr>
            <tr>
              <td>Patients’ signature</td>
              <td>111</td>
              <td>86</td>
            </tr>
            <tr>
              <td>Witness’ signature</td>
              <td>80</td>
              <td>55.9</td>
            </tr>
            <tr>
              <td>Healthcare provider’ signature</td>
              <td>1</td>
              <td>0.8</td>
            </tr>
            <tr>
              <td>Mention of the risks incurred</td>
              <td>0</td>
              <td>0</td>
            </tr>
            <tr>
              <td>Number of attempts to persuade the patient after first refusal</td>
              <td>0</td>
              <td>0</td>
            </tr>
            <tr>
              <td>Mention of “read and approved”</td>
              <td>0</td>
              <td>0</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>We noted a frequency of discharge against medical advice (DAMA) of 3.89%, making it a public health issue. The proportion of patients who leave the hospital against medical advice varies from country to country and from department to department. Akibodewa <italic>et al.</italic> in Nigeria in 2016 reported a frequency of 0.7% in obstetrics and gynecology departments. The same study observed a frequency of 8.1% in the internal medicine department, a frequency of 6.7% in the surgical department [<xref ref-type="bibr" rid="B6">6</xref>], and an overall frequency of 3.2%. Meanwhile, Ngongang <italic>et al.</italic> reported a frequency of 45.7% [<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>In high-income countries, dissatisfaction with care is among the main causes, while in developing countries, difficulties in financing healthcare are often the primary reason for DAMA [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B8">8</xref>]. It is also observed that the frequency of DAMA is higher in emergency and psychiatric departments [<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <p>The median age of the patients in our series was 27 years, with a range of 17 to 62 years. The majority of them were between 20 and 29 years old (48.3%). Akibodewa <italic>et al.</italic> in Nigeria in 2016 found a mean patient age of 40.5 ± 19.3 years [<xref ref-type="bibr" rid="B6">6</xref>]; while Karimi <italic>et al.</italic> reported a mean age of 34 ± 23 years [<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <p>Regarding the patients’ occupations, 30.8% were unemployed/housewives and 25.9% were students. Most of the patients in our study had a secondary education (60.8%). Noohi <italic>et al.</italic> also noted that half of the patients were unemployed [<xref ref-type="bibr" rid="B10">10</xref>]. It is accepted that a low level of education can lead to impaired communication with healthcare providers, poor risk assessment by the patients and increased risk of DAMA [<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <p>Concerning the admission process, we observed that most patients came on their own (56.6%), primarily for abdominopelvic pain (48.3%), often in association with vaginal bleeding (38.5%). The main diagnoses were postpartum hemorrhage (20.3%), severe malaria on pregnancy (14.7%), and premature rupture of membranes (13.3%). We observed that the majority of patients who left against medical advice (56%) presented with potentially life-threatening conditions upon admission.</p>
      <p>We noted high patient satisfaction with the reception/care (100%), facilities/equipment (99.3%), and the positive conduct of the medical staff (98.6%). However, the waiting time was perceived as prolonged in 22.4% of cases.</p>
      <p>In our study, financial difficulties were the major cause of DAMA (85.3%), followed by excessive treatment delays (10%). Connie <italic>et al.</italic>, in a study in the United States, found that DAMA was due to extrinsic obstacles such as children and family responsibilities in 50.9% and intrinsic obstacles such as hospital conditions and stress in 40.9% [<xref ref-type="bibr" rid="B11">11</xref>].</p>
      <p>In our study, the patient and her parents were the primary initiators of the DAMA in 39.2% and 30.1% of cases, respectively. According to Sogoba <italic>et al.</italic>, the parent initiated the discharge in 82.7% of cases, while the patient only decided to leave in 17.3% [<xref ref-type="bibr" rid="B12">12</xref>].</p>
      <p>The readmission rate was 14% after DAMA due to complications. Ngongang <italic>et al.</italic> made the same observation in 2024 at the Yaoundé Emergency Center, noting that patients were readmitted with more complications than their initial condition at first admission [<xref ref-type="bibr" rid="B7">7</xref>]. Thus, a worsening of the initial condition or the occurrence of any complication would justify patients returning to the healthcare facility.</p>
      <p>In our study, 9.8% of patients had no paper attesting the DAMA. We also observed the absence of numerous components of the DAMA form. This demonstrates a lack of knowledge of these components by practitioners in our context.</p>
    </sec>
    <sec id="sec5">
      <title>5. Limitations</title>
      <p>This was a retrospective study which carries limitations such as incomplete files and bias in patients’ memory. Besides, since readmissions were only captured if patients returned to the same hospital, outcomes may differ. </p>
    </sec>
    <sec id="sec6">
      <title>6. Conclusion</title>
      <p>Discharges against medical advice affected 3.89% of patients in the Obstetrics and Gynecology departments of Yaoundé. The typical patient was a young, single woman with a low income who stayed 1 to 2 days in the healthcare facility and then returned home. She returned for a consultation in 14% of cases due to a complication at the same facility.</p>
    </sec>
    <sec id="sec7">
      <title>Contribution of Authors</title>
      <p>Edith Cynthia Foyet drafted the first version. Serge Robert Nyada, Christiane Nsahlaï, Cliford Ebong Efontane, Isidore Tompeen, Véronique Batoum Mboua, Pascale Mpono Emenguele, and Michèle Mendoua read and approved the final version. Éric Nseme and Julius Dohbit Sama supervised the research.</p>
    </sec>
  </body>
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