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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">Oalib</journal-id>
      <journal-title-group>
        <journal-title>Open Access Library Journal</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2333-9721</issn>
      <issn pub-type="ppub">2333-9705</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/oalib.1114858</article-id>
      <article-id pub-id-type="publisher-id">Oalib-149508</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
          <subject>Business</subject>
          <subject>Economics</subject>
          <subject>Chemistry</subject>
          <subject>Materials Science</subject>
          <subject>Computer Science</subject>
          <subject>Communications</subject>
          <subject>Earth</subject>
          <subject>Environmental Sciences</subject>
          <subject>Engineering</subject>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
          <subject>Physics</subject>
          <subject>Mathematics</subject>
          <subject>Social Sciences</subject>
          <subject>Humanities</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Financial Cost to Households of Hospital Care for Children Aged 0 to 59 Months, Case Study of the Kalonda West Health Zone, Kasai Province, Democratic Republic of the Congo</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mekenda-Me-Bilolo</surname>
            <given-names>Urbain</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>Kekemb</surname>
            <given-names>Théophane Bukele</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ankoy</surname>
            <given-names>Albert Mwembo Tambwe</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mukendi</surname>
            <given-names>Salomon Bidilukinu</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mjumbe</surname>
            <given-names>Criss Koba</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kayembe</surname>
            <given-names>Debaïf Mutombo</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bushabu</surname>
            <given-names>Emmanuel Mapango</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Osakanu</surname>
            <given-names>Georges Lomami</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">7</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>France</surname>
            <given-names>Basema Kindja Marie</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">8</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0000-8804-4478</contrib-id>
          <name name-style="western">
            <surname>Kandolo</surname>
            <given-names>Simon Ilunga</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">8</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Numbi</surname>
            <given-names>Oscar Lubuya</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ngongo</surname>
            <given-names>Ghislain Mashini</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Kakenge Higher Institute of Medical Technology, Kakenge, Democratic Republic of the Congo </aff>
      <aff id="aff2"><label>2</label> Ministry of Public Health, Provincial Health Division, Kananga, Democratic Republic of the Congo </aff>
      <aff id="aff3"><label>3</label> School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of the Congo </aff>
      <aff id="aff4"><label>4</label> Department of Public Health, Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo </aff>
      <aff id="aff5"><label>5</label> Faculty of Medicine, Notre Dame du Kasai University, Kananga, Democratic Republic of the Congo </aff>
      <aff id="aff6"><label>6</label> Kananga Higher Institute of Medical Technics, Kananga, Democratic Republic of the Congo </aff>
      <aff id="aff7"><label>7</label> School of Public Health, University of Kolwezi, Kolwezi, Democratic Republic of the Congo </aff>
      <aff id="aff8"><label>8</label> School of Public Health, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo </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>02</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>13</volume>
      <issue>02</issue>
      <fpage>1</fpage>
      <lpage>11</lpage>
      <history>
        <date date-type="received">
          <day>
          </day>
          <month>
          </month>
          <year>
          </year>
        </date>
        <date date-type="accepted">
          <day>
          </day>
          <month>
          </month>
          <year>
          </year>
        </date>
        <date date-type="published">
          <day>02</day>
          <month>02</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/oalib.1114858">https://doi.org/10.4236/oalib.1114858</self-uri>
      <abstract>
        <p><bold>Introduction:</bold>Severe acute malnutrition (SAM) remains a major public health problem among children under 5 years of age in the Democratic Republic of the Congo. Hospital care can represent a significant financial burden for households, potentially leading to catastrophic healthcare expenditures. This study aimed to compare the direct and indirect financial costs of care for children with SAM and for those with normal nutritional status hospitalized for other conditions. <bold>Methods:</bold>A cross-sectional analytical study was conducted in the Kalonda West health zone, within the pediatric ward of the Kalonda West General Referral Hospital and the Ditekemena Hospital. The sample comprised 390 children aged 0 to 59 months: 130 cases of malnourished children with severe acute malnutrition (SAM) and 260 children with normal nutritional status hospitalized for other pediatric conditions. Data were collected via a structured questionnaire administered to parents or guardians. <bold>Results:</bold> The overall combined direct and indirect cost was statistically significantly higher in malnourished children (USD 13.84 [8.46 - 19.23]) compared to children with normal nutritional status (USD 10.48 [6.54 - 12.77], P = 0.001). Direct costs related to medication, nursing care, and dietary rations were significantly higher in malnourished children (P = 0.013). For indirect costs, hospital stay was more expensive for cases (P &lt; 0.001), compared to children with normal nutritional status. <bold>Conclusion:</bold> Hospital care for severe acute malnutrition (SAM) entails higher financial costs than for other pediatric conditions. These findings highlight the need for measures to reduce the economic burden on households, particularly through financial protection mechanisms and improved access to care.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Severe Acute Malnutrition</kwd>
        <kwd>Financial Cost</kwd>
        <kwd>Hospital Care</kwd>
        <kwd>Children under 5</kwd>
        <kwd>Ditekemena Hospital</kwd>
        <kwd>Democratic Republic of the Congo</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Malnutrition is one of the main causes of infant morbidity and mortality in low-income countries [<xref ref-type="bibr" rid="B1">1</xref>]. According to the World Health Organization (WHO), nearly 45 million children under the age of five suffered from acute malnutrition in 2023, including more than 13 million with severe acute malnutrition (SAM), a critical form requiring urgent therapeutic intervention [<xref ref-type="bibr" rid="B2">2</xref>]. In the Democratic Republic of the Congo (DRC), the situation remains concerning, with high rates of chronic and acute malnutrition in several provinces, particularly in Kasai.</p>
      <p>For the Kalonda West health District in the Kasai province, there is a high prevalence of severe acute malnutrition (SAM) among children under five years of age, due to factors such as food insecurity, poverty, limited access to healthcare, and insufficient community nutrition services [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B3">3</xref>]. While efforts are being made by technical partners (UNICEF, WFP, Ouermi Alain Saga) and the Congolese government to improve detection and treatment, few studies have documented the actual cost to households [<xref ref-type="bibr" rid="B4">4</xref>][<xref ref-type="bibr" rid="B5">5</xref>]. </p>
      <p>Understanding the economic implications of severe acute malnutrition (SAM) is essential for guiding subsidy policies and planning public health budgets. Furthermore, comparing the costs of care for children with SAM with those hospitalized for other conditions allows for an assessment of the additional financial burden imposed by malnutrition [<xref ref-type="bibr" rid="B5">5</xref>].</p>
      <p>This study aims to estimate and compare the direct, indirect, and total costs of hospital care between children hospitalized for severe acute malnutrition (SAM) and children with normal nutritional status hospitalized for other conditions, in two referral hospitals in the Kalonda West health zone.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Study Design</title>
        <p>A cross-sectional analytical study was conducted.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Study Framework</title>
        <p>Our study was conducted in the Kalonda Ouest health zone at the Kalonda Ouest General Referral Hospital and the Ditekemena Hospital, two facilities that regularly treat children suffering from severe acute malnutrition (SAM) and other paediatric conditions.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Study Population</title>
        <p>Our study population consists of children aged 0 to 59 months who were hospitalized in the paediatric wards during our study period (January to December 2024).</p>
        <p>In addition to the characteristics of the child and parents, the variables analyzed in this study were:</p>
        <p>• Direct costs: Consultation fees, hospitalization, medications, examinations, and nursing care.</p>
        <p>• Indirect costs: Medical indirect cost are economic losses from reduced work productivity and informal care, stemming from illness or mortality (Expenses with no link with medical care).</p>
        <p>• Total cost: sum of direct and indirect costs.</p>
        <p>The median, interquartile range (IQR), and frequency constituted our study parameters.</p>
        <p><bold>Inclusion Criteria</bold></p>
        <p>• Malnourished children: Children aged 0 to 59 months hospitalized with a confirmed diagnosis of severe acute malnutrition (SAM).</p>
        <p>• Children with normal nutritional status or comparison group: Children aged 0 to 59 months hospitalized for other conditions, without severe acute malnutrition.</p>
        <p>• Presence of a parent or legal guardian available to provide the necessary information.</p>
        <p><bold>Sampling and Sample Size</bold></p>
        <p>Our sample was exhaustive, comprising 390 children aged 0 to 59 months found in the paediatric ward during our study period, from January to December 2024. Of these, 130 had confirmed severe acute malnutrition (SAM) according to WHO criteria, and 269 cases, nine were not considered because the hospitalization forms were incorrectly filled out and only 260 files were considered. The presence of a consenting parent or legal guardian was required to participate in the study.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Data Processing and Analysis</title>
        <p>Information was collected using a structured questionnaire administered to parents or guardians.</p>
        <p>Data were entered and analyzed using Microsoft Excel 2024 and SPSS version 25. Qualitative variables were described using frequencies and percentages. For quantitative variables, normality was tested using the Kolmogorov-Smirnov test to perform comparisons, as was the case for the direct cost of care, for which the distribution was either free or skewed.</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Ethical Considerations</title>
        <p>The study was approved by the Ethics Committee of the University of Lubumbashi (number UNILU/CEM/054/2025). Authorization was obtained from the local health authorities, and informed consent was obtained from the parents or guardians of the included children. The confidentiality and anonymity of the participants were strictly maintained.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Sociodemographic Profile of the Children and Their Respondents (Table 1)</title>
        <p>A total of 390 children aged 0 to 59 months and their respondents participated in the study. The gender distribution was perfectly balanced, with as many girls as boys. Regarding education level, nearly four out of ten mothers (37.9%) had completed secondary school; among fathers, the overall level of education was higher, with 46.4% having completed secondary school and 17.4% tertiary education. Concerning occupation, most fathers were self-employed (82.8%), while 60.3% of mothers were homemakers. A small proportion of both parents held salaried employment (paid employment) (4.6%).</p>
        <p><bold>Table 1</bold><bold>.</bold> Profile of the children and respondents who participated in the study, n = 390.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variables</bold>
                </td>
                <td>
                  <bold>Frequency</bold>
                </td>
                <td>
                  <bold>Percentage</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Sex of children</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Female</td>
                <td>212</td>
                <td>54.4</td>
              </tr>
              <tr>
                <td>Male</td>
                <td>178</td>
                <td>45.6</td>
              </tr>
              <tr>
                <td>
                  <bold>Mother’s level of education</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>None</td>
                <td>69</td>
                <td>17.7</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>127</td>
                <td>32.6</td>
              </tr>
              <tr>
                <td>Secondary</td>
                <td>148</td>
                <td>37.9</td>
              </tr>
              <tr>
                <td>Higher or university</td>
                <td>46</td>
                <td>11.8</td>
              </tr>
              <tr>
                <td>
                  <bold>Father’s level of education</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>None</td>
                <td>37</td>
                <td>9.5</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>104</td>
                <td>26.7</td>
              </tr>
              <tr>
                <td>Secondary</td>
                <td>181</td>
                <td>46.4</td>
              </tr>
              <tr>
                <td>Higher or university</td>
                <td>68</td>
                <td>17.4</td>
              </tr>
              <tr>
                <td>
                  <bold>Father’s profession</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>None</td>
                <td>49</td>
                <td>12.6</td>
              </tr>
              <tr>
                <td>Liberal</td>
                <td>323</td>
                <td>82.8</td>
              </tr>
              <tr>
                <td>Paid profession</td>
                <td>18</td>
                <td>4.6</td>
              </tr>
              <tr>
                <td>
                  <bold>Mother’s profession</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Housekeeper</td>
                <td>235</td>
                <td>60.3</td>
              </tr>
              <tr>
                <td>Self-employed</td>
                <td>137</td>
                <td>35.1</td>
              </tr>
              <tr>
                <td>Paid occupation</td>
                <td>18</td>
                <td>4.6</td>
              </tr>
              <tr>
                <td>
                  <bold>Age of the head of household</bold>
                </td>
                <td>
                  <bold>Median [IQR]</bold>
                </td>
                <td>
                  <bold>[Min-Max]</bold>
                </td>
              </tr>
              <tr>
                <td>
                </td>
                <td>33 [10 - 37]</td>
                <td>[22 - 73]</td>
              </tr>
              <tr>
                <td>Child’s age (in months)</td>
                <td>
                  <bold>Median [IQR]</bold>
                </td>
                <td>
                  <bold>[Min-Max]</bold>
                </td>
              </tr>
              <tr>
                <td>
                </td>
                <td>24 [21 - 28]</td>
                <td>[1 - 59]</td>
              </tr>
              <tr>
                <td>Household size</td>
                <td>
                  <bold>Median [IQR]</bold>
                </td>
                <td>
                  <bold>[Min-Max]</bold>
                </td>
              </tr>
              <tr>
                <td>
                </td>
                <td>7 [2 - 9]</td>
                <td>[3 - 14]</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Regarding the age of the heads of household, at least half were 33 years old or younger (median = 33 years), and the middle half of the population ranged within a 10-year age range. For the children, 50% were 24 months old or younger (median = 24 months). For all households, at least half had seven members (median = 7), with some having up to 14 members (<bold>Table 1</bold>).</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Comparison of Direct Care Costs between Malnourished and Children with Normal Nutritional Status</title>
        <p>Direct costs related to care were generally higher in Malnourished children than in children with normal nutritional status, although the differences were not significant for most expenditure categories. However, the differences were marked for the costs related to medication, nursing care, and dietary rations, the median costs of which were approximately USD 2 to 3 higher in cases, with statistically significant differences (P &lt; 0.05) (<bold>Table 2</bold>).</p>
        <p><bold>Table 2</bold><bold>.</bold> Distribution of direct financial costs according to status (malnourished child or children with normal nutritional status), n = 390.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variable</bold>
                </td>
                <td>
                  <bold>Frequency</bold>
                </td>
                <td>
                  <bold>[Min-Max]</bold>
                </td>
                <td>
                  <bold>Median [IQR]</bold>
                </td>
                <td>
                  <bold>P (Mann-Whitney test)</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Laboratory test</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[0.96 - 3.85]</td>
                <td>1.92 [0.96 - 2.69]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[1.15 - 4.61]</td>
                <td>2.69 [1.92 - 2.69]</td>
              </tr>
              <tr>
                <td>
                  <bold>Hospitalization</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[2.31 - 19.23]</td>
                <td>2.69 [2.31 - 10.96]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[1.53 - 3.85]</td>
                <td>2.31 [2.30 - 2.89]</td>
              </tr>
              <tr>
                <td>
                  <bold>Drugs(medication)</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[1.15 - 76.95]</td>
                <td>7.69 [1.15 - 12.11]</td>
                <td rowspan="2">0.03</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[1.15 - 19.23]</td>
                <td>5.77 [3.75 - 9.62]</td>
              </tr>
              <tr>
                <td>
                  <bold>Nursing care</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[1.92 - 57.69]</td>
                <td>11.54 [1.92 - 15.38]</td>
                <td rowspan="2">0.04</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[0.96 - 13.46]</td>
                <td>3.85 [1.54 - 7.69]</td>
              </tr>
              <tr>
                <td>
                  <bold>Dietary ration</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[1.92 - 46.74]</td>
                <td>6.53 [1.92 - 8.46]</td>
                <td rowspan="2">0.01</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[0.76 - 57.69]</td>
                <td>2.30 [1.73 - 5.19]</td>
              </tr>
              <tr>
                <td>
                  <bold>Other examinations</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[1.92 - 6.35]</td>
                <td>2.31 [1.92 - 3.65]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[1.92 - 3.85]</td>
                <td>2.31 [1.92 - 2.64]</td>
              </tr>
              <tr>
                <td>
                  <bold>Total direct cost</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[1.92 - 19.23]</td>
                <td>8.46 [1.92 - 19.23]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[1.92 - 80.77]</td>
                <td>6.54 [3.85 - 11.35]</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Indirect costs included expenses related to transporting the caregiver and their hospital stay. Indeed, no statistically significant difference was observed between cases and Children with normal nutritional status for transportation and food costs (P &gt; 0.05). However, the cost of the hospital stay was significantly higher for cases, half of whom spent at least USD 5.19 compared to USD 1.35 for Children with normal nutritional status (P &lt; 0.001) (<bold>Table 3</bold>). The overall cost, including direct expenses, was significantly higher for cases than for Children with normal nutritional status (P = 0.013). At least half of the cases spent USD 13.84 or less. Among Children with normal nutritional status, at least half spent USD 10.48, with the middle half spending between USD 6.54 and USD 12.77. Furthermore, some cases generated exceptional expenses, reaching up to USD 80.77, while among Children with normal nutritional status, the maximum reached USD 53.50 (<xref ref-type="fig" rid="fig1">Figure 1</xref><xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
        <p><bold>Table 3</bold><bold>.</bold> Distribution of indirect financial costs according to status (malnourished child or children with normal nutritional status), n = 390.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Variable</bold>
                </td>
                <td>
                  <bold>Frequency</bold>
                </td>
                <td>
                  <bold>[Min Max]</bold>
                </td>
                <td>
                  <bold>Median [IQR]</bold>
                </td>
                <td>
                  <bold>P (Mann-Whitney test)</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Child guard Transport</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[0.76 - 4.04]</td>
                <td>1.15 [0.77 - 2.31]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[0.57 - 3.85]</td>
                <td>1.35 [1.15 - 2.26]</td>
              </tr>
              <tr>
                <td>
                  <bold>Sick food ration</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[0.96 - 11.54]</td>
                <td>3.84 [0.96 - 7.69]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[0.96 - 11.54]</td>
                <td>2.40 [2.29 - 3.08]</td>
              </tr>
              <tr>
                <td>
                  <bold>Hospital Stay</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[3.85 - 7.69]</td>
                <td>5.19 [3.85 - 6.44]</td>
                <td rowspan="2">˂0.001</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[0.57 - 3.85]</td>
                <td>1.35 [1.15 - 2.26]</td>
              </tr>
              <tr>
                <td>Total indirect cost</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Malnourished child</td>
                <td>130</td>
                <td>[1.00 - 53.50]</td>
                <td>5.38 [1.00 - 8.46]</td>
                <td rowspan="2">˃0.05</td>
              </tr>
              <tr>
                <td>Children with normal nutritional status</td>
                <td>260</td>
                <td>[0.58 - 19.23]</td>
                <td>3.94 [3.80 - 7.69]</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/1114858-rId15.jpeg?20260210014542" />
        </fig>
        <p>Normality test (Kolmogorov-Smirnov): 0.000; P-value (Mann-Whitney U): 0.013.</p>
        <p><xref ref-type="fig" rid="fig1">Figure 1</xref>. Box plots comparing the total cost (direct and indirect) in cases and in children with normal nutritional status among the 390 participants.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>In this study, the direct costs associated with medications, nursing care, and dietary rations were clearly higher for children with severe acute malnutrition (SAM) than for children hospitalized for other pediatric conditions (<bold>Table 2</bold>). This observation reflects clinical reality. SAM requires specific treatments to correct nutritional deficiencies and prevent or treat associated infections, including medications, vitamin supplements, and rehydration solutions. In addition, close monitoring of weight, hydration status, and vital signs is essential, placing a greater burden on healthcare staff and increasing the use of medical supplies [<xref ref-type="bibr" rid="B6">6</xref>][<xref ref-type="bibr" rid="B7">7</xref>]. The therapeutic diet, enriched with protein and micronutrients, also contributes to increased costs [<xref ref-type="bibr" rid="B8">8</xref>]. These factors explain why direct expenses are higher in cases than in children with normal nutritional status, whose care requires less intensive interventions [<xref ref-type="bibr" rid="B9">9</xref>][<xref ref-type="bibr" rid="B10">10</xref>]. </p>
      <p>Indirect costs, primarily related to hospital stays, were also higher for malnourished children (<bold>Table 3</bold>). This reflects the time parents or guardians must dedicate to caring for their children, often at the expense of their income-generating activities. In rural or semi-urban areas, where income largely depends on informal work, this lost time represents a significant economic burden for households [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B10">10</xref>]. The extended stay is often linked to the clinical severity of the cases and the presence of comorbidities, such as respiratory infections or malaria, which require prolonged monitoring and care, with a consequent increase in the indirect financial burden [<xref ref-type="bibr" rid="B2">2</xref>].</p>
      <p>The overall cost, combining direct and indirect expenses, was significantly higher for children with severe acute malnutrition (SAM) (<xref ref-type="fig" rid="fig1">Figure 1</xref><xref ref-type="fig" rid="fig1">Figure 1</xref>). In Niger, the cost of severe acute malnutrition was as high, but much higher, than that found in our study [<xref ref-type="bibr" rid="B11">11</xref>].</p>
      <p>In northern Senegal, a study revealed that the average total cost of managing severe acute malnutrition was USD 431.9 (standard deviation = 203.9), with staff costs representing the largest expense (33% of the total). Household expenses accounted for 45.3% of the total cost, or USD 195.6 (standard deviation = 103.6) [<xref ref-type="bibr" rid="B12">12</xref>].</p>
      <p>This finding underscores the cumulative economic burden of SAM, combining the intensity of care and the loss of income for families. These results are consistent with national and regional observations [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B13">13</xref>], and emphasize the need for appropriate support strategies, such as subsidizing treatments, improving access to care, and strengthening national nutrition programs. These measures are undoubtedly essential to reducing the financial burden on households and improving the chances of recovery for malnourished children.</p>
      <p>These results are like those found by Daures and colleagues, who demonstrated that indirect costs associated with managing severe malnutrition constitute a significant portion of the economic burden borne by households, especially in rural areas where income is based on daily labor. They also highlight that prolonged hospital stays, frequently complicated by comorbidities, lead to a significant decrease in family productivity, thus confirming the findings in the Congolese context [<xref ref-type="bibr" rid="B13">13</xref>]. </p>
      <p>Furthermore, the findings presented here align with those of Tadesse, who highlighted that the overall cost of severe acute malnutrition, combining direct medical expenses and indirect income losses, is significantly higher than for other common pediatric conditions. This convergence of results demonstrates that SAM constitutes a major economic problem for vulnerable households and reinforces the need for public policies aimed at reducing treatment costs and supporting affected families [<xref ref-type="bibr" rid="B14">14</xref>].</p>
      <p>It is crucial to consider the psychological impact of severe acute malnutrition on families, beyond the direct and indirect costs. Prolonged hospitalization of a child generates stress that degrades the emotional well-being of parents, thus affecting their work performance and exacerbating the family’s economic hardship [<xref ref-type="bibr" rid="B13">13</xref>][<xref ref-type="bibr" rid="B15">15</xref>]. </p>
      <p>Severe acute malnutrition (SAM) also places additional strain on health systems.</p>
      <p>In low-resource countries, it is common for referral hospitals to redeploy staff and equipment to meet the specific needs of malnourished children. This restricts the availability of care for other illnesses and leads to increased institutional spending [<xref ref-type="bibr" rid="B16">16</xref>].</p>
      <p>At the community level, severe malnutrition in children has lasting effects on human capital. Children who survive severe acute malnutrition (SAM) often show delays in their growth and cognitive development, which may decrease their future economic and educational potential. Thus, the total cost also includes long-term productivity losses for the business [<xref ref-type="bibr" rid="B17">17</xref>].</p>
      <p>Comparative research indicates that preventive nutritional interventions are significantly more cost-effective than curative treatments. According to Ould Abdeslam-Hamaz [<xref ref-type="bibr" rid="B18">18</xref>], funding for community-based micronutrient supplementation and awareness programs significantly reduces the incidence of severe acute malnutrition (SAM), leading to a decrease in associated direct and indirect costs.</p>
      <p>The importance of intersectoral collaborations in reducing the economic burden of SAM is emphasized. The involvement of NGOs, international funders, and local stakeholders in providing financial support for treatments and establishing social safety nets improves household resilience and promotes greater equity in access to care [<xref ref-type="bibr" rid="B19">19</xref>].</p>
      <p><italic>Stu</italic><italic>dy</italic><italic>Limitations</italic></p>
      <p>Several limitations should be highlighted. First, the study does not distinguish between costs covered by external aid and those actually paid by households. Finally, the specific rural context of Kalonda West limits the generalizability of the results to other regions of the DRC or Africa.</p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusions</title>
      <p>This study, conducted in the Kalonda West health zone, demonstrated that hospital care for children suffering from severe acute malnutrition (SAM) incurs a significantly higher financial cost than for children hospitalized for other illnesses. Direct costs, primarily medication and hospitalization, constitute the bulk of the expenses, while indirect costs reflect the lost income for children with normal nutritional status and high transportation costs for those with other pediatric conditions. The results also reveal that total financial costs are significantly higher for children with normal nutritional status than for those with other conditions. These findings highlight the disproportionate impact of other childhood illnesses on vulnerable households, which often must mobilize substantial resources, with or without external support.</p>
      <p>These findings call for multisectoral and structural actions, including:</p>
      <p>Strengthening targeted subsidy and free healthcare policies for children with other illnesses.Community support and early outpatient care to reduce lengthy and costly hospitalizations.Integrating prevention into primary healthcare and food security interventions.</p>
      <p>Finally, further studies incorporating cost-effectiveness, cost-benefit, and long-term economic burden analyses will be essential to support policymakers in building more equitable and resilient health systems.</p>
    </sec>
  </body>
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