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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojepi</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Epidemiology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2165-7467</issn>
      <issn pub-type="ppub">2165-7459</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojepi.2026.161011</article-id>
      <article-id pub-id-type="publisher-id">ojepi-149400</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>Global Level of Adherence to Antiretroviral Treatment for Human Immunodeficiency Virus Infection in the World Health Organization’s Test and Treat Era in West Africa: A Systematic Review and Meta-Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Zoungrana-Yameogo</surname>
            <given-names>Wedminère Noelie</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Yameogo</surname>
            <given-names>Aristide Relwendé</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Some</surname>
            <given-names>Anthony</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bakiono</surname>
            <given-names>Fidèle</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Diallo</surname>
            <given-names>Abdoulaye Hama</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Nana</surname>
            <given-names>Félicité</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bationo</surname>
            <given-names>Nestor</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>So</surname>
            <given-names>Abdoulaye</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Yabre</surname>
            <given-names>Dominique Helene Laurel</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Belem</surname>
            <given-names>Arielle Rita</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Drabo</surname>
            <given-names>Koine Maxime</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Public Health Department, Tengandogo University Hospital Center, Ouagadougou, Burkina Faso </aff>
      <aff id="aff2"><label>2</label> Permanent Secretariat of the Health Sector Program to Combat HIV and STIs, Ouagadougou, Burkina Faso </aff>
      <aff id="aff3"><label>3</label> Public Health Department, University Joseph Ki-Zerbo, Ouagadougou, Burkina Faso </aff>
      <aff id="aff4"><label>4</label> Institute de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso </aff>
      <aff id="aff5"><label>5</label> Interdisciplinary Research Training Institute in Health Science and Education, Ouagadougou, Burkina Faso </aff>
      <aff id="aff6"><label>6</label> Service for Infectious Diseases, Tengandogo University Hospital Center, Ouagadougou, Burkina Faso </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>01</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>01</issue>
      <fpage>149</fpage>
      <lpage>159</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>01</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/ojepi.2026.161011">https://doi.org/10.4236/ojepi.2026.161011</self-uri>
      <abstract>
        <p><bold>Background</bold><bold>:</bold>In West Africa, where the WHO “test and treat” policy has been implemented since 2016, evidence on adherence levels remains limited. <bold>Objectives</bold><bold>:</bold> To systematically assess adherence to ART among people living with HIV. <bold>Methods</bold><bold>:</bold>We conducted a systematic review and meta-analysis in accordance with PRISMA 2020 guidelines. We searched PubMed, Scopus, Web of Science, and Google Scholar for studies published between January 2016 and December 2023. Eligible studies reported adherence rates to ART among populations in West Africa after implementation of the test and treat strategy. We did not specify standardized measurement tools for measuring adherence. All measurement methods were taken into account. Study selection and data extraction were performed in duplicate. Pooled adherence proportions were estimated using a random-effects model. Publication bias was assessed with funnel plots and Egger’s test. <bold>Results</bold><bold>:</bold>Of 385 records screened, seven studies from Nigeria (3), Ghana (2), Sierra Leone (1), and Burkina Faso (1) were included, comprising 4436 participants. Adherence definitions varied (self-report, caregiver report, medical records). The pooled adherence rate was 63% (95% CI 45% - 79%). Adults’ adherence was 78%, 95% CI 66% - 88% compared with children, 23%, 95% CI 0% - 71%. Funnel plot inspection and Egger’s test suggested possible publication bias. <bold>Conclusions</bold><bold>:</bold>Adherence to ART in West Africa remains below optimal levels. Context-adapted interventions are urgently needed.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Adherence</kwd>
        <kwd>Antiretroviral</kwd>
        <kwd>HIV</kwd>
        <kwd>West Africa</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>The World Health Organization (WHO), through its “test and treat” strategy, has recommended treating anyone tested positive for HIV (human immunodeficiency virus) regardless of the clinical stage or CD4 count, since 2016 [<xref ref-type="bibr" rid="B1">1</xref>]. With the goal of ending HIV by 2030, WHO, the Global Fund, and UNAIDS have all aligned their global HIV strategies with Sustainable Development Goals (SDGs) target 3.3, aiming to end the HIV epidemic by 2030. In 2023, 86% [73% - 98%] of HIV-PVs knew their status, 77% [61% - 89%] were receiving antiretroviral therapy and 72% [65% - 80%] had achieved viral suppression [<xref ref-type="bibr" rid="B2">2</xref>].</p>
      <p>The therapeutic success defined by viral load suppression depends on several factors, including adherence to treatment, which is one of the major pillars. Not only does adherence to treatment contribute to an undetectable viral load, but it also prevents the development of molecularly resistant strains of virus [<xref ref-type="bibr" rid="B3">3</xref>]. Several determinants, including non-adherence to medications could constitute a brake on viral load neutralization. This non-adherence is itself linked to several factors, notably related to medications, patients, health structures, or the community.</p>
      <p>According to the World Health Organization (WHO), poor adherence to long-term treatments is a growing problem, with about 50% of patients with chronic diseases in developed countries not adhering to their treatment [<xref ref-type="bibr" rid="B4">4</xref>]. The issue of adherence to ARV treatment remains a challenge in the African context. Rates below the optimal rate (level of adherence of at least 95% to suppress the viral load according to the WHO) have already been described by several authors, notably in Cameroon (65.2%), Ghana (73%) and Nigeria (80.6%) [<xref ref-type="bibr" rid="B5">5</xref>]-[<xref ref-type="bibr" rid="B8">8</xref>].</p>
      <p>Several interventions aimed at improving adherence to antiretroviral medications have been implemented [<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <p>The WHO test and treat policy has helped to increase the number of people living with HIV accessing antiretroviral treatment. The number of people with access on antiretroviral therapy was 7.7 million in 2010 [<xref ref-type="bibr" rid="B2">2</xref>], 17 million in 2016 [<xref ref-type="bibr" rid="B10">10</xref>] and 30.7 million in 2023 [<xref ref-type="bibr" rid="B2">2</xref>].</p>
      <p>Since the implementation of this policy, there has been limited availability of data on overall adherence to antiretroviral treatment in West Africa.</p>
      <p>The objective of our study was to make an inventory, through a systematic review meta-analysis, of the level of adherence to ARV medications in West Africa in the test and treat era. This meta-analysis aims to synthesize the available data on ARV adherence in West Africa following the PRISMA guidelines. </p>
    </sec>
    <sec id="sec2">
      <title>2. Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Eligibility Criteria</title>
        <p>We used the PICOTS criteria (population, intervention, comparator, outcomes (results), temporality, setting of intervention) to select our articles. In relation to the PICO, our population was made up of patients living with HIV, the intervention was antiretroviral (ARV) treatment, the result was adherence to antiretroviral therapy and the intervention environment was West Africa. We have given priority to single-proportion studies, so no comparator has been defined. The studies were taken into account if they included the following information: articles published between 1 January 2016 and 31 December 2023 and whose study topics were selected from the implementation of the ‘test and treat’ strategy of the WHO after June 2016 under antiretroviral treatment, residing in West Africa and in whom adherence to treatment with ARV drugs was measured. We did not specify standardized measurement tools for measuring adherence. All measurement methods were taken into account. Articles published in 2016 and after, if the topics were selected before 2016, were excluded from the study. Qualitative studies, as well as studies that did not estimate the rate of adherence, were also excluded from the study. Literature reviews, systematic reviews, meta-analyses were also excluded from our study.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Sources of Information</title>
        <p>We have mainly searched the online bibliographic databases for article selection. The bibliographic databases used were PubMed, Scopus, Web of Science, Google Scholar. Last search: 15 January 2025. The Reference lists of included studies were screened. Grey literature was excluded.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Research Strategy</title>
        <p>The writing of this systematic review and meta-analysis followed the standards of the PRISMA Guide (Preferred reporting items for systematic reviews and meta-analyses). The search equation was formulated by combining MeSH keywords using the Boolean operators OR and AND. The following search query has been formulated: </p>
        <p>(“HIV” OR “acquired immune deficiency syndrome virus” OR “acquired immunodeficiency syndrome virus” OR “aids virus”) AND ((“medication adherence” OR “Drug Adherence” OR “medication compliance” OR “drug compliance” OR “medication persistence”) OR (“patient compliance” OR “client compliance” OR “user compliance” OR “patient adherence” OR “client adherence” OR “patient cooperation” OR “therapeutic compliance” OR “treatment compliance”)) AND ((“Treatment Adherence and Compliance” OR “Therapeutic Adherence and Compliance” OR “treatment adherence”) AND (“highly active antiretroviral therapy” OR “HAART” OR “Combination Antiretroviral Therapies” OR “Anti-retroviral agents” OR “ARV” OR “antiretrovirals”) AND (“West Africa” OR “Western Africa” OR “Benin” OR “Burkina Faso” OR “Cabo Verde” OR “Cote d’Ivoire” OR “Ivory Coast” OR “Gambia” OR “Guinea-Bissau” OR “Liberia” OR “Mali” OR “Mauritania” OR “Niger” OR “Nigeria” OR “Senegal” OR “Sierra Leone” OR “Togo”).</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Selection Process</title>
        <p>Three reviewers independently screened titles, abstracts, and full texts using Abstrackr. Disagreements were resolved by consensus or by a fourth reviewer.</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Data Collection Process</title>
        <p>The first step consisted of selecting the articles by title, then by summary, then the articles were exported to Excel. Once on Excel we proceeded to remove duplicates from the titles. After removing the duplicates, we proceeded with another selection by reading the full texts. The selection of articles is presented in the form of a flow chart.</p>
      </sec>
      <sec id="sec2dot6">
        <title>2.6. Data Items</title>
        <p>The data extraction was performed according to PICOTS. The study population concerned patients living with HIV, the main measure was the proportion of adherence between 2018 and 2023. The variables collected concerned the authors, the date of publication, the year, the type of study, the design, the population studied, the number of subjects in the study, the proportion of observant patients, and the country in which the study was conducted. The methods for calculating adherence were not taken into account; instead, we considered the estimated adherence proportions reported in the studies.</p>
      </sec>
      <sec id="sec2dot7">
        <title>2.7. Study Risk of Bias Assessment</title>
        <p>The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) assessment grid was used to evaluate checks related to subject selection, confusion, follow-up, and adherence measurement method.</p>
      </sec>
      <sec id="sec2dot8">
        <title>2.8. Effect Measures</title>
        <p>Primary outcome: ART adherence rate with 95% confidence intervals.</p>
      </sec>
      <sec id="sec2dot9">
        <title>2.9. Synthesis Methods</title>
        <p>We conducted a meta-analysis of proportions following the PRISMA 2020 recommendations. The proportions extracted from each included study were combined to estimate an overall proportion with its 95% confidence interval. We used the software [<xref ref-type="bibr" rid="B11">11</xref>]. Given the bounded nature of the proportions (between 0 and 1), a stabilized variance transformation (logit type or double Freeman-Tukey arcsine) was applied in order to reduce the heterogeneous variance between studies. The overall estimate was then reconverted to the original scale for interpretation. A random-effects model was used (DerSimonian and Laird model) to account for inter-study heterogeneity. This model assumes that the proportions vary not only due to sampling error, but also due to actual differences between studies. Heterogeneity was assessed using the I<sup>2</sup> index and the Cochran Q test. One I<sup>2</sup> &gt; 50% was considered moderate heterogeneity to be elevated. An exploration of sources of heterogeneity was carried out by subgroup analyses. The results were synthesized using forest plots, indicating individual proportions, confidence intervals, and weight of each study in the analysis. Publication bias was assessed using funnel plots.</p>
      </sec>
      <sec id="sec2dot10">
        <title>2.10. Reporting Bias Assessment</title>
        <p>Funnel plots and Egger’s test used.</p>
      </sec>
      <sec id="sec2dot11">
        <title>2.11. Certainty Assessment</title>
        <p>GRADE framework applied to overall and subgroup findings.</p>
      </sec>
      <sec id="sec2dot12">
        <title>2.12. Registration</title>
        <p>PROSPERO: CRD420251008258.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Study Selection</title>
        <p>Seven studies were included in this review following the selection process. <xref ref-type="fig" rid="fig1">Figure 1</xref> shows the flow diagram of study selection.</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/1890909-rId13.jpeg?20260204043732" />
        </fig>
        <p><bold>Figure 1</bold>. Flow diagram for the identification and selection of articles included in this review.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Study Characteristics</title>
        <p>The adherence research included two studies involving children and five involving adults, <bold>Table 1</bold> presents the characteristics of the different studies selected for analysis.</p>
        <p>Table 1. Characteristics of articles included in the systematic review on adherence to antiretroviral treatment in West Africa.</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/1890909-rId14.jpeg?20260204043733" />
        </fig>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Risk of Bias in Studies</title>
        <p>The assessment of risk of bias showed an overall level of very low to moderate quality of evidence. <bold>Table 2</bold> presents the detailed risk of bias assessment of the studies.</p>
        <p><bold>Table 2</bold><bold>.</bold> Evaluation of the risk of bias in included studies according to the grading of recommendations assessment, development, and evaluation (GRADE).</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Study (year)</bold>
                </td>
                <td>
                  <bold>Study design</bold>
                </td>
                <td>
                  <bold>Population</bold>
                </td>
                <td>
                  <bold>Risk of bias</bold>
                </td>
                <td>
                  <bold>Inconsistency</bold>
                </td>
                <td>
                  <bold>Indirectness</bold>
                </td>
                <td>
                  <bold>Imprecision</bold>
                </td>
                <td>
                  <bold>Quality of evidence</bold>
                </td>
              </tr>
              <tr>
                <td>
                  Biney
                  <italic>et al</italic>
                  ., 2021
                </td>
                <td>Cross-sectional</td>
                <td>Adolescents/youth</td>
                <td>High</td>
                <td>Minor</td>
                <td>Direct</td>
                <td>Moderate</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>
                  Chime
                  <italic>et al</italic>
                  ., 2019
                </td>
                <td>Cross-sectional</td>
                <td>Adults living with HIV</td>
                <td>Low</td>
                <td>Consistent</td>
                <td>Direct</td>
                <td>Serious</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>
                  Eribo
                  <italic>et al</italic>
                  ., 2020
                </td>
                <td>Cross-sectional</td>
                <td>Adults living with HIV</td>
                <td>High</td>
                <td>Consistent</td>
                <td>Direct</td>
                <td>Moderate</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>
                  Isika
                  <italic>et al</italic>
                  ., 2022
                </td>
                <td>Cross-sectional</td>
                <td>Adults living with HIV</td>
                <td>High</td>
                <td>Heterogeneous</td>
                <td>Direct</td>
                <td>Serious</td>
                <td>Low-moderate</td>
              </tr>
              <tr>
                <td>
                  Lahai
                  <italic>et al</italic>
                  ., 2020
                </td>
                <td>Cross-sectional</td>
                <td>Children living with HIV</td>
                <td>Very high</td>
                <td>Inconsistent</td>
                <td>Indirect</td>
                <td>Serious</td>
                <td>Very low</td>
              </tr>
              <tr>
                <td>
                  Nichols
                  <italic>et al</italic>
                  ., 2019
                </td>
                <td>Cross-sectional</td>
                <td>Uninformed children</td>
                <td>High</td>
                <td>Consistent</td>
                <td>Indirect</td>
                <td>Moderate</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>
                  Zoungrana-Yameogo
                  <italic>et al</italic>
                  ., 2022
                </td>
                <td>Secondary data analysis</td>
                <td>Mixed adult population</td>
                <td>Low</td>
                <td>Variable</td>
                <td>Very direct</td>
                <td>Serious</td>
                <td>Moderate</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Results of Individual Studies</title>
        <p>Adherence ranged 5.9% - 89.5%.</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Results of Syntheses</title>
        <p>The study involved 4436 patients, and the overall adherence rate was estimated at 63%, CI95% [0.45 - 0.79]. The subgroup analysis noted a proportion of 78%, IC95% [0.66 - 0.88] in adults and a proportion of 23% IC95% [0.00 - 0.71] in children. The analysis showed a strong heterogeneity of study outcomes (I<sup>2</sup> = 99.3%, p &lt; 0.001). <xref ref-type="fig" rid="fig2">Figure 2</xref> presents the overall and subgroup estimates of adherence and heterogeneity analysis. </p>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/1890909-rId15.jpeg?20260204043734" />
        </fig>
        <p><bold>Figure 2</bold>. Forest plot showing overall and subgroup estimates of adherence and analysis of heterogeneity of antiretroviral treatment among patients living with HIV in West Africa.</p>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Reporting Biases</title>
        <p>Funnel plot asymmetry; Egger’s test p &lt; 0.05.</p>
        <p>Significant heterogeneity was observed (p &lt; 0.01), indicating variable effects in terms of extent and/or direction of the effects. <xref ref-type="fig" rid="fig3">Figure 3</xref> illustrates the funnel diagram used to assess potential publication bias. </p>
        <fig id="fig4">
          <label>Figure 4</label>
          <graphic xlink:href="https://html.scirp.org/file/1890909-rId16.jpeg?20260204043734" />
        </fig>
        <p><bold>Figure 3</bold>. Funnel plot of study publication bias assessment.</p>
      </sec>
      <sec id="sec3dot7">
        <title>3.7. Certainty of Evidence</title>
        <p>Low certainty (GRADE) due to bias, heterogeneity, and imprecision.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>A variable level of adherence to antiretroviral (ARV) was observed, depending on the target population and over time. The overall proportion of subjects adhering to antiretroviral treatment was 0.63 with a 95% confidence interval [0.45 - 0.79] with a significant difference between adults (78%) and children (23%). Adherence rates fluctuate, with a downward trend between 2019 and 2022. This variability could be related to the subjects of the study since some studies were carried out in adult men and women, while others examined children and adolescents. The overall estimate of 63% provides an initial summary, but given the high degree of heterogeneity observed (99.3%) (probably due to the lack of standardization in the measurement of adherence and the small number of studies included in the meta-analysis), it is not appropriate to generalize this result. </p>
      <p>Low adherence to ARVs drugs would imply a low probability of neutralizing their viral load and an increased risk of HIV transmission. Costa <italic>et al</italic><italic>.</italic> in a systematic review published in 2018 and covering topics selected between 2005 and 2016 in Latin America and the Caribbean, reported that 44% of people living with HIV (PLHIV) had suboptimal adherence [<xref ref-type="bibr" rid="B12">12</xref>]. Angel <italic>et al</italic><italic>.</italic> in their study published in 2023 and conducted among 19,322 people living with HIV and followed up between 2010 and 2020 in Canada, had an adherence rate of 55.3% [<xref ref-type="bibr" rid="B13">13</xref>]. Fassinou <italic>et al</italic><italic>.</italic> in a systematic review conducted among pregnant and breastfeeding women in Sub-Saharan Africa had achieved an adherence rate of 62% [<xref ref-type="bibr" rid="B14">14</xref>]. Generally speaking, a significant proportion of people living with HIV are still not adherent to antiretroviral therapy.</p>
      <p>Several factors could support this low level of adherence in the African context. These include difficulties in accessing health facilities related to distance from the [<xref ref-type="bibr" rid="B15">15</xref>], and instability of supply, particularly in areas affected by security challenges with its share of stock shortages. Stigma at the level of care facilities and in the community (fear of being identified as HIV positive by attending certain institutions such as hospitals of the day for people living with HIV) may also reduce the regularity of follow-up visits [<xref ref-type="bibr" rid="B16">16</xref>]. Lack of social support, or fear of family rejection, and non-disclosure of status to the partner have already been described as factors limiting motivation for adherence [<xref ref-type="bibr" rid="B17">17</xref>]. The lack of knowledge about HIV, the benefits of ARVs and the consequences of stopping treatment may also constitute barriers to adherence. Fear of side effects often described or presented by other PHAs may discourage regular and long-term [<xref ref-type="bibr" rid="B18">18</xref>]. Moreover, some adherence support strategies are poorly adapted or not adapted in certain contexts. A need to act holistically. The risks of stock shortage should be contained regardless of the geographical and security context. The provision of ARVs should be systematically accompanied by personalized support to remove barriers to adherence related to lack of awareness of ARV benefits, stigma in healthcare settings, adapted strategies are therefore necessary to achieve optimal adherence rates and, consequently, therapeutic success.</p>
    </sec>
    <sec id="sec5">
      <title>5. Limits of the Study</title>
      <p>The limited number of studies included in our analysis, seven in total, including two in children, may limit the relevance of the results. Furthermore, the lack of a standardized definition of adherence led to the use of several estimation methods and significant heterogeneity in the analyses. Future studies using standardized methods of measuring adherence in West Africa are needed to enable more reliable comparisons and syntheses.</p>
    </sec>
    <sec id="sec6">
      <title>6. Conclusion</title>
      <p>This study revealed low adherence to antiretroviral (ART) treatments, particularly among children, despite efforts to support adherence in the context of West Africa. Adapted strategies taking into account the shortcomings related to the supply system, dispensable from those related to socio-emotional factors, could enable the achievement of optimal adherence rates and, consequently, therapeutic success.</p>
    </sec>
    <sec id="sec7">
      <title>Registration and Protocol</title>
      <p>Details on the design and conduct of this systematic review and meta-analysis were recorded in the international database of prospectively registered systematic reviews in the field of health and social care (PROSPERO 2025 CRD420251008258).</p>
    </sec>
    <sec id="sec8">
      <title>Support</title>
      <p>This study did not receive any funding.</p>
    </sec>
    <sec id="sec9">
      <title>Availability of Data, Code and Other Materials</title>
      <p>An Excel database of selected studies is available.</p>
    </sec>
    <sec id="sec10">
      <title>Acknowledgements</title>
      <p>We would like to thank all the authors whose articles were used to produce this systematic review.</p>
    </sec>
    <sec id="sec11">
      <title>Authors’ Contributions</title>
      <p>Dr. Zoungrana Wedminère Noelie designed the study and wrote the first draft. Dr. Yameoogo Aristide and Dr. Somé Anthony were independent researchers responsible for selecting articles. The other authors read the first draft and provided comments. Prof. Koiné Maxime Drabo supervised the research work.</p>
    </sec>
  </body>
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</article>