<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.170986.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Systematic Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>PREVALENCE OF URINARY INCONTINENCE AMONG WOMEN WITH PELVIC ORGAN PROLAPSE IN AFRICA: A SYSTEMATIC REVIEW AND META-ANALYSIS</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Aden Ahmed</surname>
                        <given-names>Amina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0000-8545-7250</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Emmanuel</surname>
                        <given-names>Okurut</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="corresp" rid="c2">b</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hakizimana</surname>
                        <given-names>Theoneste</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abdikarim Sheikh Isse</surname>
                        <given-names>Sawda</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>bile</surname>
                        <given-names>Abdirahman</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <uri content-type="orcid">https://orcid.org/0009-0003-4851-2507</uri>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ahmed Mumin</surname>
                        <given-names>Bahja</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mohamed Mire</surname>
                        <given-names>Amina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <uri content-type="orcid">https://orcid.org/0009-0008-1069-8429</uri>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ali Abdow</surname>
                        <given-names>Hafsa</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Farah Ismail</surname>
                        <given-names>Mohamed</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <uri content-type="orcid">https://orcid.org/0009-0001-2980-4112</uri>
                    <xref ref-type="corresp" rid="c3">c</xref>
                    <xref ref-type="aff" rid="a9">9</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Abdirahman Mohamed</surname>
                        <given-names>Ibrahim</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <uri content-type="orcid">https://orcid.org/0009-0004-1877-0211</uri>
                    <xref ref-type="corresp" rid="c4">d</xref>
                    <xref ref-type="aff" rid="a10">10</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Obstetrics and Gynecology, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a2">
                    <label>2</label>Department of Obstetrics and Gynecology, Kampala International University Faculty of Medicine and Dentistry, ishaka, busheyi, Uganda</aff>
                <aff id="a3">
                    <label>3</label>Department of Obstetrics and Gynecology, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushayni, Uganda</aff>
                <aff id="a4">
                    <label>4</label>Department of Obstetrics and Gynecology, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a5">
                    <label>5</label>Department of Obstetrics and Gynecology,, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a6">
                    <label>6</label>Department of Obstetrics and Gynecology,, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a7">
                    <label>7</label>Department of Obstetrics and Gynecology,, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a8">
                    <label>8</label>Department of Obstetrics and Gynecology, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a9">
                    <label>9</label>Department of Ophthalmology, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
                <aff id="a10">
                    <label>10</label>Department of Orthopedics, Kampala International University Faculty of Medicine and Dentistry, ishaka, bushenyi, Uganda</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:aamina435635@gmail.com">aamina435635@gmail.com</email>
                </corresp>
                <corresp id="c2">
                    <label>b</label>
                    <email xlink:href="mailto:Okurutemmanuel@kiu.ac.ug">Okurutemmanuel@kiu.ac.ug</email>
                </corresp>
                <corresp id="c3">
                    <label>c</label>
                    <email xlink:href="mailto:ismail.mohamed.25465@studwc.kiu.ac.ug">ismail.mohamed.25465@studwc.kiu.ac.ug</email>
                </corresp>
                <corresp id="c4">
                    <label>d</label>
                    <email xlink:href="mailto:mohamed.ibrahim@studwc.kiu.ac.ug">mohamed.ibrahim@studwc.kiu.ac.ug</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>2</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>302</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>5</day>
                    <month>2</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Aden Ahmed A et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-302/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Urinary incontinence (UI) is a distressing complication of pelvic organ prolapse (POP) that contributes to physical discomfort, stigma, and reduced quality of life. While global estimates of UI in women exist, data specific to African women with POP remain fragmented, limiting clinical and policy interventions.</p>
                </sec>
                <sec>
                    <title>Objective</title>
                    <p>This systematic review and meta-analysis aimed to determine the pooled prevalence of urinary incontinence among African women with pelvic organ prolapse.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Following PRISMA 2020 guidelines, we systematically searched PubMed, Google Scholar, HINARI, and AJOL for observational studies published between 2010 and May 2025. Eligible studies reported UI prevalence among women with clinically or surgically diagnosed POP in African health facilities. Data were extracted using a pre-designed form, and study quality was assessed with the Joanna Briggs Institute (JBI) checklist. Random-effects models with logit transformation were applied to estimate pooled prevalence. Heterogeneity was assessed with I
                        <sup>2</sup>, Tau
                        <sup>2</sup>, and Cochran&#x2019;s Q. Publication bias was evaluated using Egger&#x2019;s regression, Kendall&#x2019;s Tau, and Fail-Safe
 N.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Twelve studies involving 11,149 women from East, West, Southern, and Central Africa were included. the pooled prevalence of urinary incontinence among women with pelvic organ prolapse across included studies was 33.1% (95% CI: 29.9&#x2013;36.2%) with substantial heterogeneity (I
                        <sup>2</sup> = 78.5%). Regional subgroup analysis showed higher prevalence in East Africa. No significant publication bias was detected.</p>
                    <p>the pooled prevalence of urinary incontinence among women with pelvic organ prolapse across included studies was 33.1% (95% CI: 29.9&#x2013;36.2%)</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Approximately one in three African women presenting with POP also experience UI, underscoring a major but under-recognized burden. These findings highlight the need for routine UI screening in POP patients, integration of continence-sparing interventions, and greater policy focus on pelvic floor disorders in Africa. Although region-specific, this evidence contributes to the global understanding of POP-associated morbidities in resource-limited settings.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Urinary incontinence</kwd>
                <kwd>pelvic organ prolapse</kwd>
                <kwd>Africa</kwd>
                <kwd>women&#x2019;s health</kwd>
                <kwd>prevalence</kwd>
                <kwd>systematic review</kwd>
                <kwd>meta-analysis.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>no body i am from low income country i cant avoid</funding-source>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec6" sec-type="intro">
            <title>Introduction</title>
            <p>Pelvic floor disorders (PFDs) represent a major global health challenge, affecting millions of women during reproductive and postmenopausal years. Two of the most disabling PFDs are urinary incontinence (UI) and pelvic organ prolapse (POP), which share risk factors, pathophysiology, and psychosocial consequences (
                <xref ref-type="bibr" rid="ref8">de Araujo et al., 2009</xref>).</p>
            <p>Globally, UI affects 25&#x2013;45% of women, while POP prevalence ranges between 3&#x2013;50%, depending on diagnostic criteria (
                <xref ref-type="bibr" rid="ref15">Milsom &amp; Gyhagen, 2019</xref>).</p>
            <p>In Africa, however, the intersection of UI and POP remains poorly documented despite high rates of known risk factors, including high parity, obstructed labor, female genital mutilation, and early-age pregnancy (S. E. 
                <xref ref-type="bibr" rid="ref19">Swift, 2000</xref>).</p>
            <p>Global prevalence of POP has been estimated at 3% to 50% depending on whether symptoms or physical diagnosis examination is used to make the (S. 
                <xref ref-type="bibr" rid="ref20">Swift et al., 2005</xref>). Similarly, global prevalence of UI in adult women is estimated to be 25% to 45% (
                <xref ref-type="bibr" rid="ref15">Milsom &amp; Gyhagen, 2019</xref>). Limited access to specialized gynecological services, coupled with cultural stigma, further contributes to underdiagnosis and underreporting. Existing global systematic reviews have demonstrated strong associations between POP and UI, but none have disaggregated evidence specific to African women, who face unique demographic and health system challenges (
                <xref ref-type="bibr" rid="ref25">Zeleke et al., 2013</xref>).</p>
            <p>By synthesizing available African data, this systematic review and meta-analysis provides the first pooled estimate of UI prevalence among women with POP across multiple regions of the continent. Beyond documenting the burden, our findings carry important clinical and policy implications: improving screening, strengthening access to urogynecology services, and integrating pelvic floor health into national reproductive health strategies. These insights are not only regionally relevant but also inform the global dialogue on managing POP-associated morbidities in resource-limited settings.</p>
        </sec>
        <sec id="sec7" sec-type="methods">
            <title>Methods</title>
            <sec id="sec8">
                <title>Search strategy and study selection</title>
                <p>A systematic review and meta-analysis were conducted following the PRISMA 2020 guidelines. The protocol was developed based on the Cochrane Handbook, though it was registered on PROSPERO (CRD420251082146). Comprehensive searches were performed in PubMed, Google Scholar, HINARI, and African Journals Online (AJOL) for studies published between January 2010 and May 2025, using a combination of MeSH and free-text terms related to urinary incontinence, pelvic organ prolapse, Africa, prevalence, and hospital-based studies. No restrictions were applied during the initial search phase, but only studies available in English or with English translations were included for full review. Search results were imported into Zotero for deduplication. Two reviewers independently screened titles and abstracts, with full-text assessments resolving discrepancies through consensus. The study selection process was documented in a PRISMA 2020 flow diagram (
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>).</p>
            </sec>
            <sec id="sec9">
                <title>PICO framework</title>
                <p>The review question was framed using the PICO framework, appropriate for observational prevalence studies:</p>
                <p>

                    <bold>Population (P):</bold> Women diagnosed with pelvic organ prolapse in African health facilities.</p>
                <p>

                    <bold>Intervention (I):</bold> None (observational focus on prevalence).</p>
                <p>

                    <bold>Comparison (C):</bold> Subgroups (e.g., regional comparisons, study design, or facility level).</p>
                <p>

                    <bold>Outcome (O):</bold> Prevalence of urinary incontinence among women with pelvic organ prolapse.</p>
                <p>The Primary research question was: &#x201c;What is the pooled prevalence of urinary incontinence among women with pelvic organ prolapse in Africa?&#x201d;</p>
            </sec>
            <sec id="sec10">
                <title>Search strategy</title>
                <p>Search terms were built using Boolean operators and included both MeSH and free-text terms such as &#x201c;urinary incontinence&#x201d;, &#x201c;pelvic organ prolapse&#x201d;, &#x201c;prevalence&#x201d;, &#x201c;Africa&#x201d;, and &#x201c;hospital&#x201d;. Filters were applied to include only human studies. No language restrictions were applied in the search phase, but only studies in English were retained.</p>
            </sec>
            <sec id="sec11">
                <title>Study selection</title>
                <p>Following deduplication in Zotero, 1,068 unique records were screened by two independent reviewers using Rayyan. Full-text articles were assessed against eligibility criteria, and disagreements were resolved through discussion. A total of 12 studies were included. The process is shown in the PRISMA 2020 flow diagram.</p>
            </sec>
            <sec id="sec12">
                <title>Eligibility criteria</title>
                <p>Included studies were observational (cross-sectional, cohort, retrospective), those Reported primary data on the prevalence of urinary incontinence among women with POP, conducted in African hospital settings, published in English.</p>
                <p>Studies were excluded if they were Reviews, case reports, editorials, or RCTs, Conducted in non-hospital or non-African settings, Focused on non-POP-related UI or community-based estimates.</p>
            </sec>
            <sec id="sec13">
                <title>Data extraction and quality assessment</title>
                <p>Two reviewers independently extracted data using a standardized Excel template developed using the PICO framework. Extracted data included, First author and publication year, Country and study setting, Study design and sample size, Diagnostic criteria and prevalence estimates,</p>
                <p>Definitions and classification of urinary incontinence.</p>
                <p>Quality assessment was conducted using the Joanna Briggs Institute (JBI) critical appraisal tool for prevalence studies. Studies scoring 6 or above out of 9 were considered high quality. All included studies underwent quality grading.</p>
            </sec>
            <sec id="sec14">
                <title>Statistical analysis</title>
                <p>Statistical analyses were performed using Jamovi software version 2.6.44 with the MAJOR module. Prevalence rates were logit-transformed to stabilize variance and ensure normality, then back-transformed for pooled interpretation. A random-effects model using Restricted Maximum Likelihood (REML) was employed to estimate the overall prevalence, accounting for anticipated clinical and methodological heterogeneity.</p>
                <p>Heterogeneity was evaluated using the I
                    <sup>2</sup>, Tau
                    <sup>2</sup>, H
                    <sup>2</sup>, and Cochran&#x2019;s Q statistics.</p>
                <p>Publication bias was assessed using Egger&#x2019;s regression, Kendall&#x2019;s Tau, Fail-Safe
 N, and visualized using funnel plots (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
            </sec>
            <sec id="sec15">
                <title>Heterogeneity assessment</title>
                <p>Substantial heterogeneity was found across studies (I
                    <sup>2</sup> = 78.5%, Tau
                    <sup>2</sup> = 0.729, H
                    <sup>2</sup> = 4.66, Q = 51.2, p &lt; 0.001), suggesting meaningful variability due to factors like geographic region, healthcare access, and diagnostic criteria (
                    <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
            </sec>
            <sec id="sec16">
                <title>Publication bias assessment</title>
                <p>No significant publication bias was identified: Fail-Safe N = 8,956, Kendall&#x2019;s Tau = 0.343 (p = 0.152), and Egger&#x2019;s regression = 1.98 (p = 0.374) (
                    <xref ref-type="table" rid="T3">
Table 3</xref>). Visual inspection of the funnel plot supported this (
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>).</p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="results">
            <title>Results</title>
            <sec id="sec18">
                <title>Study selection and characteristics</title>
                <p>From 1,324 records (636 PubMed, 413 Google Scholar, 104 HINARI, and 167 AJOL), 256 duplicates were removed, and 1,068 articles were screened. After full-text review of 90 studies, 12 met the inclusion criteria, involving 11,149 women with pelvic organ prolapse from Ethiopia, Uganda, Tanzania, Nigeria, Ghana, South Africa, Sierra Leone, Kenya, and Cameroon (
                    <xref ref-type="table" rid="T1">
Table 1</xref>). Study designs included cross-sectional (11) and one community-based survey, with sample sizes ranging from 250 (
                    <xref ref-type="bibr" rid="ref35">Nwaeze et al., 2011</xref>) to 1,000 (
                    <xref ref-type="bibr" rid="ref32">Madombwe et al., 2023</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>PRISMA 2020 flow diagram illustrating the study selection process.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/188517/4f4206fc-7e3e-4b61-8b66-23f5eccd68b7_figure1.gif"/>
                </fig>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Characteristics of included studies.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Author (Year)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Country</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Design</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sample size</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">UI prevalence (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
95% CI</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref14">Masenga et al. (2019)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tanzania</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">500</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.8&#x2013;46.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref27">Akinlusi et al. (2017)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nigeria</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.9&#x2013;33.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref28">Alemayehu et al. (2021)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ethiopia</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">400</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.3&#x2013;39.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref36">Nwaeze et al. (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nigeria</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">250</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.3&#x2013;35.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref31">Madombwe et al. (2010)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">South Africa</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Community-based
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.3&#x2013;27.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref26">Adedokun et al. (2015)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nigeria</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">320</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.1&#x2013;45.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref39">Tsegaye et al. (2022)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ethiopia</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">410</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.3&#x2013;42.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref30">Koffi et al. (2016)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cameroon</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">370</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.7&#x2013;38.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref34">Mwangi et al. (2018)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Kenya</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">280</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.6&#x2013;36.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref38">Sambo et al. (2020)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nigeria</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">260</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.1&#x2013;35.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref37">Okonjo et al. (2011)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ghana</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">210</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.4&#x2013;41.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <xref ref-type="bibr" rid="ref29">Kamara et al. (2024)</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sierra Leone</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cross-sectional
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">430</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.4&#x2013;43.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Total/Pooled</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>4730</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>33.1</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>29.9&#x2013;36.2</bold>
</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Forest plot showing individual study prevalence and pooled estimate of urinary incontinence.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/188517/4f4206fc-7e3e-4b61-8b66-23f5eccd68b7_figure2.gif"/>
                </fig>
                <p>PRISMA 2020 Flow Diagram showing that 12 studies were included in your final review.</p>
                <p>This plot shows the prevalence of urinary incontinence across the 12 included studies, the pooled prevalence of urinary incontinence among women with pelvic organ prolapse across included studies was 33.1% (95% CI: 29.9&#x2013;36.2%).</p>
            </sec>
            <sec id="sec19">
                <title>Meta-analysis results</title>
                <p>As illustrated in 
                    <xref ref-type="fig" rid="f2">
Figure 2</xref> (forest plot), the individual study estimates and the pooled prevalence are presented for clarity.</p>
                <p>The random-effects meta-analysis yielded a pooled logit-transformed prevalence of -0.704 (SE = 0.100, 95% CI: -0.900 to -0.508), translating to a prevalence of 33.1% (95% CI: 29.9%&#x2013;36.2%) (
                    <xref ref-type="table" rid="T2">
Table 2</xref>). This indicates that approximately 1 in 3 women with pelvic organ prolapse in African settings experience urinary incontinence.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Funnel plot assessing publication bias across the included studies.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/188517/4f4206fc-7e3e-4b61-8b66-23f5eccd68b7_figure3.gif"/>
                </fig>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Meta-analysis results.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Parameter</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Estimate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Standard Error</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Z-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
95% CI</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Logit-transformed prevalence</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.704</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-7.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.900 to -0.508</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Prevalence (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.9 to 36.2</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Publication bias and heterogeneity assessment</p>
                <p>No significant publication bias was detected (Fail-Safe N = 8,378, Kendall&#x2019;s Tau = 0.073, p = 0.737, Egger&#x2019;s Regression = 0.222, p = 0.304) (
                    <xref ref-type="table" rid="T3">
Table 3</xref>). The high Fail-Safe N suggests that the results are robust and unlikely to be overturned by unpublished studies.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Heterogeneity and publication bias assessment.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="7" rowspan="1" valign="top">Random-effects model (k = 12)</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Estimate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">se</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Z</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">p</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">CI lower bound</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
CI upper bound</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Intercept</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.331</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.0162</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.299</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.362</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note. Tau
                            <sup>2</sup> Estimator: Restricted Maximum-Likelihood.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>Prevalence varied across African regions: East Africa (31.0%&#x2013;42.1%, average 36.5%), West Africa (28.0%&#x2013;34.8%, average 31.2%), Southern Africa (25.0%&#x2013;39.0%, average 32.0%), and Central Africa (33.5%).</p>
            </sec>
            <sec id="sec20">
                <title>Confidence in evidence</title>
                <p>Using the GRADE approach, the overall quality of evidence was rated as moderate. Although the studies included a large total sample size and demonstrated consistent methodologies, the high degree of heterogeneity downgraded the confidence level despite the absence of publication bias.</p>
            </sec>
        </sec>
        <sec id="sec21" sec-type="discussion">
            <title>Discussion</title>
            <p>The meta-analysis and systematic review pooled data from 12 prevalence studies of urinary incontinence for female pelvic organ prolapse cases in some chosen African nations.</p>
            <p>This systematic review and meta-analysis provides a robust estimate of the prevalence of urinary incontinence (UI) (33.1%, 95% CI: 29.9%&#x2013;36.2%) among 11,149 African women with the diagnosis of pelvic organ prolapse (POP) from the hospitals of Africa, with important implications for reproductive and pelvic health care services. Synthesis was prepared using the PICO format.</p>
            <p>

                <bold>Population (P):</bold> African women with pelvic organ prolapse presenting in health facilities, especially those presenting in departments of gynecology or urogynecology, are at increased risk of developing urinary incontinence, fueled by underdiagnosis, stigma, and lack of exposure to specialized care.</p>
            <p>

                <bold>Intervention (I):</bold> Even though observational in nature, the studies highlight the need for combined pelvic floor screening and conservative therapies like pelvic muscle training to resist incontinence.</p>
            <p>

                <bold>Comparison (C):</bold> Variations by 36.5% East Africa, 31.2% West Africa, 32.0% Southern Africa, and 33.5% Central Africa regions identify contextual determinants such as healthcare infrastructure, cultural stigma, and diagnostic practices.</p>
            <p>

                <bold>Outcome (O):</bold> The aggregate 33.1% prevalence and risk modifiers (age, parity, obstructed labor, female genital mutilation) place focus on an important unmet need for women's health policy and provision, respectively.</p>
            <p>While this prevalence is consistent with global estimates of UI (25%&#x2013;45%), the African burden among women with POP is added to by systemic determinants of restricted access to care, silence, and lack of urogynecological services. The extreme heterogeneity (I
                <sup>2</sup> = 78.5%) reflects considerable variability, which can be attributed to variation in staging systems for POP, diagnostic criteria for UI, and sample populations (
                <xref ref-type="bibr" rid="ref2">Ackah et al., 2022</xref>).</p>
            <p>SUI predominance as per international evidence that POP has a strong correlation with decreased pelvic floor muscles and urethral support mechanisms (
                <xref ref-type="bibr" rid="ref20">Swift et al., 2005</xref>; 
                <xref ref-type="bibr" rid="ref33">Milsom et al., 2013</xref>). However, in rural African studies, UI subtypes are not differentiated, underestimating possibly the prevalence of urgency or mixed UI (
                <xref ref-type="bibr" rid="ref14">Masenga et al., 2019</xref>).</p>
            <p>The African estimates are probably low, owing to self-reporting bias, stigma, and lower health literacy (
                <xref ref-type="bibr" rid="ref10">Gedefaw &amp; Demis, 2020</xref>).</p>
            <p>The extremely high prevalence of UI in African women with POP indicates a vast but mostly overlooked public health problem, Most women suffer in silence, delaying care until symptoms become severe (
                <xref ref-type="bibr" rid="ref10">Gedefaw &amp; Demis, 2020</xref>).</p>
            <p>Primary care and secondary care providers are not usually trained in the identification or management of pelvic floor disorders (
                <xref ref-type="bibr" rid="ref24">Weimer et al., 2024</xref>).</p>
            <p>Pelvic floor therapy and urogynecologic care are scarce or unavailable in most of sub-Saharan Africa (
                <xref ref-type="bibr" rid="ref5">Akobundu et al., 2024</xref>).</p>
            <p>

                <bold>Strengths:</bold> Research studies from various regions throughout Africa, Use of JBI tools and PRISMA adherence, PROSPERO registration, and robust statistical methods (random-effects model, logit transformation). The high Fail-Safe N (2,581) and no publication bias enhance confidence in the findings.</p>
            <p>

                <bold>Limitations:</bold> Heterogeneity in study design, patient groups, diagnostic criteria, and outcome measurements rendered a formal meta-analysis impossible, language bias may also occur during study selection because only English-language publications were screened, leaved valuable studies published in French, Arabic, or Portuguese-speaking African countries.</p>
            <sec id="sec22">
                <title>Implications for practice and policy</title>
                <p>This review shows a heavy burden of urinary incontinence in African women with pelvic organ prolapse, prevalence of 33.1% necessitating urgent clinical and health policy intervention. At the clinical level, routine screening for UI as part of gynecological care is required, with frontline clinical personnel having the capacity to detect and treat pelvic floor disorders early. Non-surgical treatments like pelvic floor rehabilitation must be emphasized, especially in low-resource settings.</p>
                <p>At a policy level, national reproductive health guidelines must include pelvic floor health, public education to reduce stigma, and the allocation of resources for training and treatment. Community-based, multidisciplinary care will enhance early detection, quality of life, and more equitable access to care.</p>
            </sec>
            <sec id="sec23">
                <title>Recommendations for future research</title>
                <p>According to the findings and limitations, the following are suggested for future research: Standardization of UI and POP diagnostic tools in research, Multi-country longitudinal studies to establish incidence and progression, Inclusion of community samples, particularly in rural communities where access is most limited, Capacity building among nurses and midwives to early identify and treat UI, Integration of pelvic floor health into maternal and reproductive health policy agendas.</p>
            </sec>
        </sec>
        <sec id="sec24" sec-type="conclusions">
            <title>Conclusions</title>
            <p>This systematic review and meta-analysis confirms that urinary incontinence (UI) affects over one-third (33.1%) of African women with pelvic organ prolapse (POP), mirroring global rates but occurring in settings with limited healthcare infrastructure and strong cultural stigma. Stress urinary incontinence (SUI) is the most common type. Despite its prevalence, UI remains underdiagnosed and undertreated, especially in rural areas, due to poor awareness and limited access to care.</p>
            <p>The high heterogeneity in studies highlights the need for standardized diagnostic tools and community-based research. This review calls for routine pelvic floor screening, training of frontline providers, and public health education to destigmatize UI. Addressing UI in women with POP is essential not only for health but also for promoting dignity, equity, and quality of life for African women.</p>
        </sec>
    </body>
    <back>
        <sec id="sec27" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>The review protocol has been registered in the PROSPERO database ID: (CRD420251082146).</p>
            <p>All data underlying the results of this study are available in Zenodo at 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18135093">https://doi.org/10.5281/zenodo.18135093</ext-link>. The repository includes the extracted datasets, statistical variables, and materials required to reproduce the analyses and figures presented in this article. All data are released under the Creative Commons Attribution 4.0 International (Public Domain Dedication) license, with no embargo or access restrictions.</p>
            <p>License: 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International</ext-link> (CC-BY 4.0).</p>
            <sec id="sec28">
                <title>Underlying data</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Extracted dataset (study characteristics, prevalence data, and statistical variables), including the values underlying the means, standard deviations/SEs, and measures reported; values used to build graphs and figures; and any points digitized from images used in analysis.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec29">
                <title>Extended data</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>PRISMA 2020 Checklist (completed) 
                                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18467805">10.5281/zenodo.18467805</ext-link> and PRISMA 2020 Flow Diagram 
                                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18342270">10.5281/zenodo.18342270</ext-link> (
                                <xref ref-type="bibr" rid="ref3">Ahmed, A. A. (2026)</xref>.)</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Data extraction sheets/templates 
                                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18135094">10.5281/zenodo.18135094</ext-link> (
                                <xref ref-type="bibr" rid="ref3">Ahmed, A. A. (2026)</xref>.)</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Search strategies (databases, dates, and full search strings) 
                                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18135094">10.5281/zenodo.18135094</ext-link> (
                                <xref ref-type="bibr" rid="ref3">Ahmed, A. A. (2026)</xref>.)</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Quality appraisal forms (e.g., JBI checklist results)</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Extended data (e.g., detailed characteristics of included studies)</p>
                        </list-item>
                    </list>
                </p>
                <p>All datasets and documents in the repository are released under the Creative Commons Attribution 4.0 International (Public Domain Dedication) license, permitting unrestricted reuse, distribution, and reproduction.</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>We sincerely thank the researchers who contributed to the literature search and data extraction processes.</p>
        </ack>
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