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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1510391</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pre-exposure prophylaxis uptake among Black/African American men who have sex with other men in Midwestern, United States: a systematic review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Adeagbo</surname> <given-names>Oluwafemi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Badru</surname> <given-names>Oluwaseun Abdulganiyu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Addo</surname> <given-names>Prince</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Hawkins</surname> <given-names>Amber</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Brown</surname> <given-names>Monique Janiel</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Xiaoming</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Afifi</surname> <given-names>Rima</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Community and Behavioral Health, College of Public Health, The University of Iowa</institution>, <addr-line>Iowa City, IA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Arnold School of Public Health, University of South Carolina</institution>, <addr-line>Columbia, SC</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Kimberly A. Koester, University of California, San Francisco, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Ryan Whitacre, Public Health Institute, United States</p>
<p>Emma Sterrett, University of Louisville, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Oluwafemi Adeagbo, <email>oluwafemi-adeagbo@uiowa.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1510391</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Adeagbo, Badru, Addo, Hawkins, Brown, Li and Afifi.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Adeagbo, Badru, Addo, Hawkins, Brown, Li and Afifi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>Black/African American men who have sex with other men (BMSM) are disproportionately affected by HIV, experience significant disparities in HIV incidence, and face significant barriers to accessing HIV treatment and care services, including pre-exposure prophylaxis (PrEP). Despite evidence of individual and structural barriers to PrEP use in the Midwest, no review has synthesized this finding to have a holistic view of PrEP uptake and barriers. This review examines patterns of, barriers to, and facilitators of PrEP uptake among BMSM in the Midwest, United States (US).</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Five databases (CINAHL Plus, PUBMED, PsycINFO, SCOPUS, and Web of Science) were searched in March 2023. We included studies that focused on BMSM in the Midwestern states; only empirical studies (either quantitative or qualitative or both) were considered. We synthesized the qualitative data and teased out some of the factors inhibiting or facilitating PrEP uptake among BMSM.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>We screened 850 articles, and only 22 (quantitative: 12; qualitative: 8; mixed methods: 2) met our set eligibility criteria. Most of the studies were conducted in Chicago. Most BMSM use oral than injectable PrEP. Uptake of PrEP ranged from 3.0 to 62.8%, and the majority reported a prevalence of less than 15%. The barriers include PrEP awareness, PrEP access, PrEP stigma, side effects, PrEP preference, socioeconomic status, medical insurance and support, partner trust, trust in the health system, and precautions with sexual partners. The identified PrEP facilitators include PrEP use until HIV is eradicated, friend influence, experience with dating men living with HIV, safety, phobia for HIV, disdain for condoms, and power to make decisions.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Our review summarized patterns of, barriers to, and facilitators of PrEP uptake among BMSM in the Midwest, United States. The low PrEP uptake of BMSM was primarily attributed to mistrust in the health system and low socioeconomic status. Multimodal and multilevel strategies are needed to improve PrEP uptake among BMSM, including improving the marketing of PrEP to BMSM and removing financial barriers to accessing PrEP service.</p>
</sec>
</abstract>
<kwd-group>
<kwd>PrEP</kwd>
<kwd>barriers</kwd>
<kwd>facilitators</kwd>
<kwd>African American</kwd>
<kwd>Black</kwd>
<kwd>MSM</kwd>
<kwd>Midwest</kwd>
<kwd>United States</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="11"/>
<word-count count="8283"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Approximately 12% of the United States (US) population were Non-Hispanic Black/African American in 2019 (<xref ref-type="bibr" rid="ref1">1</xref>), and yet 37.4% of people living with HIV (PLWH) are non-Hispanic Black/African Americans (<xref ref-type="bibr" rid="ref2">2</xref>). Similarly, Black/African American men who have sex with other men (BMSM) experience significant disparities in HIV incidence, access to HIV care, and prevention across all age groups (<xref ref-type="bibr" rid="ref3 ref4 ref5">3&#x2013;5</xref>). Of the estimated 37,981 new HIV diagnoses in the US in 2022, 70% were among men who have sex with other men (MSM), including BMSM (34%) (<xref ref-type="bibr" rid="ref6">6</xref>). The Centers for Disease Control and Prevention (CDC) estimated that one in two BMSM will be diagnosed with HIV in their lifetime (<xref ref-type="bibr" rid="ref7">7</xref>), and BMSM are eight times more likely to be diagnosed with HIV than White MSM in their lifetimes (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>As of 2022, in the Midwest US, males (79.3%) and Blacks (41.6%) were more likely to be living with HIV, and male-to-male sexual contact (79.2%) was the commonest mode of transmission. Also, eight in ten (81.6%) of new HIV cases were among MSM (<xref ref-type="bibr" rid="ref9">9</xref>). Furthermore, BMSM are more burdened with HIV than non-Hispanic Whites. For example, Mustanki and colleagues, in their cohort study, found that HIV is more common among BMSM than their Hispanic and non-Hispanic White counterparts (<xref ref-type="bibr" rid="ref10">10</xref>). Similarly, BMSM are 10 times more likely to be living with HIV than non-Hispanic Whites in Iowa (<xref ref-type="bibr" rid="ref11">11</xref>). Lack of medical insurance for HIV preventive care, historical discrimination, and structural racism, such as institutional racism and homophobia, are some of the root causes of HIV disparities in the US (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>Recently, the US government published a plan for &#x201C;Ending the HIV Epidemic&#x201D;(EHE) by 2030 (<xref ref-type="bibr" rid="ref14 ref15 ref16">14&#x2013;16</xref>). One of the four strategic goals of the EHE initiative is wider pre-exposure prophylaxis (PrEP) coverage, especially among populations at higher risk of HIV acquisition (<xref ref-type="bibr" rid="ref14">14</xref>). PrEP is a biomedical medication that, when used consistently by an HIV-negative person, reduces the chances of contracting HIV for all populations, including priority populations such as those who inject drugs and BMSM (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). Effective use of PrEP by BMSM will reduce the HIV burden by halting ongoing HIV transmission and contributing to MSM community-level protection (<xref ref-type="bibr" rid="ref18">18</xref>). Several studies (including clinical trials) have found PrEP highly effective for HIV prevention, particularly for those at risk, including BMSM (<xref ref-type="bibr" rid="ref19 ref20 ref21">19&#x2013;21</xref>). Despite the documented benefits of PrEP as an effective HIV prevention method, the uptake of this biomedical medication to prevent HIV is very low across the US, including among BMSM (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). According to recent estimates from the CDC, only 30% of the 1.2 million people in the US who might benefit from PrEP were prescribed PrEP in 2021 (<xref ref-type="bibr" rid="ref23">23</xref>). Common barriers to PrEP uptake included factors such as low socioeconomic status, health insurance, medical mistrust, misinformation about PrEP, as well as racism, discrimination, healthcare providers&#x2019; negative attitudes, and PrEP access (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). The COVID-19 pandemic further exacerbated PrEP uptake by intensifying several of these barriers (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>).</p>
<p>Several PrEP-related reviews in the US have focused on PrEP uptake, barriers, and facilitators among only MSM or the general population, including MSM and transgender persons (<xref ref-type="bibr" rid="ref28 ref29 ref30">28&#x2013;30</xref>). To our knowledge, no review has synthesized the uptake, barriers, and facilitators of PrEP use among BMSM in the US Midwest states despite increasing rates of new HIV diagnoses cases and rates since 2020 in the Midwest (<xref ref-type="bibr" rid="ref31">31</xref>), and that 3 of the 7 States with the greatest unmet need for PrEP among Black people were in the Midwest (<xref ref-type="bibr" rid="ref32">32</xref>). This systematic review aims to investigate patterns of PrEP uptake and identify barriers and facilitators to PrEP uptake among BMSM in the Midwest, US. This would inform the development of interventions to increase PrEP uptake among this priority population and help achieve the goals of the EHE initiative in the US.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<p>This systematic review was conducted in line with the Updated Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
<sec id="sec7">
<label>2.1</label>
<title>Eligibility criteria</title>
<p>Our eligibility criteria followed the population/participants, interventions, comparison, outcome, and study design (PICOS) framework (<xref ref-type="bibr" rid="ref34">34</xref>). We included empirical studies conducted solely or partly among BMSM in the Midwestern states of the United States. Commentaries, letters to the editor, or expert opinions were not considered. We focused on studies with a primary or secondary focus on PrEP uptake, barriers, or facilitators. We did not limit our search by language or time.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Search strategy</title>
<p>CINAHL Plus, PUBMED, PsycINFO, SCOPUS, and Web of Science were searched in March 2023 using relevant keywords (such as PrEP, barriers, and specific Midwest states), Medical Subject Headings (MeSH) terms, and Boolean operators. For example, we search PubMed with the following terms: (((Barrier&#x002A; OR problem&#x002A; OR reluctan&#x002A; OR concern&#x002A; OR stigma OR perception OR belief OR attitude OR enabler&#x002A; OR Motivator&#x002A; OR facilitator&#x002A; OR encouragement OR predictor&#x002A; OR determinant&#x002A; OR engagement OR uptake OR initiation OR Use OR Utilization OR Utilization OR Compliance OR Adherence) AND (&#x201C;Pre-Exposure Prophylaxis&#x201D;[Mesh] OR &#x201C;pre-exposure prophylaxis&#x201D; OR PrEP OR Truvada OR Descovy)) AND (&#x201C;men who have sex with men&#x201D; OR MSM OR Gay&#x002A; OR &#x201C;male couple&#x002A;&#x201D; OR homosexual&#x002A; OR &#x201C;transgender wom&#x002A;&#x201D; OR &#x201C;trans wom&#x002A;&#x201D; OR &#x201C;bisexual men&#x201D;)) AND (Iowa OR &#x201C;Midwest region&#x201D; OR &#x201C;Midwestern region&#x201D; OR &#x201C;Midwest state&#x002A;&#x201D; OR Illinois OR Indiana OR Kansas OR Michigan OR Minnesota OR Missouri OR Nebraska OR &#x201C;North Dakota&#x201D; OR Ohio OR &#x201C;South Dakota&#x201D; OR Wisconsin). We did not limit our search by date or language. The comprehensive search strategy for other databases is in the <xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>. Rayyan, an online article manager (<xref ref-type="bibr" rid="ref35">35</xref>), was used for the article screening process. Two reviewers (OAB and PA) met to finalize the study eligibility criteria before screening. One reviewer (OAB) removed duplicate articles; two reviewers (OAB and PA) independently performed title and abstract screening. Both reviewers resolved all disagreements through discussions. References of all articles that met our eligibility criteria were manually searched for additional relevant articles.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Data extraction procedure</title>
<p>We extracted the following details from each article that met the set eligibility criteria: author and year of publication, Midwest state, study design, sample size and technique, type of PrEP (pills or injectables), analysis type, BMSM sociodemographic information (i.e., race and age), PrEP uptake, barriers to and facilitators of PrEP use. One reviewer (OAB) extracted all the details, while another reviewer (OAA) checked for accuracy.</p>
<p>All the articles that met the eligibility criteria were subject to methodological rigor assessment using the appropriate Joanna Briggs Institute tools (depending on the study design); one reviewer (OAB) performed this process, which was verified by another reviewer (OAA).</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Data analysis</title>
<p>The quantitative findings were summarized descriptively. We synthesized the qualitative data and identified the common factors inhibiting or facilitating PrEP uptake among Black MSM.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<p>The systematic search across five databases produced 850 articles. The duplicates were 437, leaving 413 articles for title and abstract screening. Of these, 270 were excluded as they did not meet our eligibility criteria; the remaining 143 articles were subject to full-text screening. A further 121 articles were excluded for lack of relevant information and having no distinct information for BMSM. Therefore, only 22 articles that met the eligibility criteria were included in this review (<xref ref-type="fig" rid="fig1">Figure 1</xref>). All the studies were judged to have high methodological rigor (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Search strategy flowchart.</p>
</caption>
<graphic xlink:href="fpubh-13-1510391-g001.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of the included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Author</th>
<th align="left" valign="top">State</th>
<th align="left" valign="top">Study design</th>
<th align="left" valign="top">Sample size</th>
<th align="left" valign="top">Study sampling</th>
<th align="left" valign="top">PrEP type</th>
<th align="left" valign="top">Data analysis</th>
<th align="left" valign="top">Participant&#x2019;s characteristics</th>
<th align="left" valign="top">PrEP uptake</th>
<th align="left" valign="top">Evidence level</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Biello et al. (<xref ref-type="bibr" rid="ref36">36</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Qualitative: FGD</td>
<td align="left" valign="top">38; 8 from Chicago Black: 69.4%</td>
<td align="left" valign="top">Purposive</td>
<td align="left" valign="top">Injectable</td>
<td align="left" valign="top">Content coding</td>
<td align="left" valign="top">YBMSM<break/>15&#x2013;29&#x202F;years</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Downing et al. (<xref ref-type="bibr" rid="ref47">47</xref>)</td>
<td align="left" valign="top">Detroit in Michigan (other states: Atlanta and New York)</td>
<td align="left" valign="top">Qualitative: IDI</td>
<td align="left" valign="top">26; 8 from Chicago</td>
<td align="left" valign="top">Consecutive (Banner advertisements placed on social media websites such as Facebook)</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Content analysis</td>
<td align="left" valign="top">GBMSM<break/>19 to 62&#x202F;years<break/>Mean age: 29</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Hall et al. (<xref ref-type="bibr" rid="ref37">37</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Qualitative: IDI from RADAR cohort<break/>From mixed methods study</td>
<td align="left" valign="top">28</td>
<td align="left" valign="top">NA</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Thematic</td>
<td align="left" valign="top">PrEP-using MSM<break/>Mean age: 25.57&#x202F;&#x00B1;&#x202F;1.93</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Kelly et al. (<xref ref-type="bibr" rid="ref49">49</xref>)</td>
<td align="left" valign="top">Wisconsin</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">33</td>
<td align="left" valign="top">Respondent Driven Sampling (Seed)</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>Average age: 27&#x202F;years</td>
<td align="left" valign="top">Baseline: 1 (3.0%)<break/>3&#x202F;months follow-up: 4 (12.1%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Khanna et al. (<xref ref-type="bibr" rid="ref39">39</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cohort (uConnect)</td>
<td align="left" valign="top">266</td>
<td align="left" valign="top">Respondent Driven Sampling</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Descriptive</td>
<td align="left" valign="top">YBMSM<break/>16&#x2013;29&#x202F;years</td>
<td align="left" valign="top">Baseline: 10 (3.8%)<break/>Wave 2: 16 (6.0%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Khanna et al. (<xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cohort (uConnect; Baseline)</td>
<td align="left" valign="top">622</td>
<td align="left" valign="top">Respondent Driven Sampling</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">YBMSM<break/>16&#x2013;29&#x202F;years</td>
<td align="left" valign="top">3.6%</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Lancki et al. (<xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cohort (uConnect)</td>
<td align="left" valign="top">618<break/>289 for PrEP response</td>
<td align="left" valign="top">Respondent Driven Sampling</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>22.1&#x202F;&#x00B1;&#x202F;0.3</td>
<td align="left" valign="top">Wave 1 (Baseline): 4%<break/>Wave 2: 6.6%<break/>Wave 3: 10.1%<break/>Wave 1&#x2013;3: 42 (14.5%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Morgan et al. (<xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Baseline: Cross-sectional from Cohort (RADAR)</td>
<td align="left" valign="top">885<break/>Black: 259 (29.3%)</td>
<td align="left" valign="top">Snowball, including social media and venue-based</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>16&#x2013;20&#x202F;years<break/>20.8&#x202F;&#x00B1;&#x202F;2.8</td>
<td align="left" valign="top">19 (7.3%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Mustanki et al. (<xref ref-type="bibr" rid="ref10">10</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Baseline: Cross-sectional from Cohort (RADAR)</td>
<td align="left" valign="top">1,015<break/>Black: 344 (33.9%)</td>
<td align="left" valign="top">Diverse methods: Snow ball, etc.</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>16&#x2013;29&#x202F;years</td>
<td align="left" valign="top">7.14% past 6&#x202F;months</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Patel et al. (<xref ref-type="bibr" rid="ref48">48</xref>)</td>
<td align="left" valign="top">Missouri</td>
<td align="left" valign="top">Qualitative: IDI</td>
<td align="left" valign="top">26 BMSM</td>
<td align="left" valign="top">Snowball</td>
<td align="left" valign="top">Pill and injection</td>
<td align="left" valign="top">Inductive</td>
<td align="left" valign="top">BMSM<break/>Median age: 27 (24&#x2013;30)</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Phillips et al. (<xref ref-type="bibr" rid="ref42">42</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cross-sectional from Cohort (RADAR)</td>
<td align="left" valign="top">906<break/>MSM: 257</td>
<td align="left" valign="top">Respondent Driven Sampling</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">YMSM<break/>Median age: 20.2</td>
<td align="left" valign="top">20 (7.8%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Quinn et al. (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
<td align="left" valign="top">Wisconsin (Milwaukee)</td>
<td align="left" valign="top">Qualitative: FGD</td>
<td align="left" valign="top">44 BMSM</td>
<td align="left" valign="top">Convenience</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inductive</td>
<td align="left" valign="top">BMSM<break/>Mean age: 22&#x202F;&#x00B1;&#x202F;2.3; range 18&#x2013;25</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Quinn et al. (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
<td align="left" valign="top">Milwaukee Minneapolis Detroit<break/>Kansas</td>
<td align="left" valign="top">Qualitative: 6 FGD</td>
<td align="left" valign="top">36 BMSM</td>
<td align="left" valign="top">Purposive</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inductive</td>
<td align="left" valign="top">YBMSM<break/>25.9&#x202F;&#x00B1;&#x202F;3.6<break/>Range 20&#x2013;30&#x202F;years</td>
<td align="left" valign="top">Current use: 27 (75%)<break/>Previous use: 9 (25%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Quinn et al. (<xref ref-type="bibr" rid="ref53">53</xref>)</td>
<td align="left" valign="top">Milwaukee Minneapolis Detroit<break/>Kansas</td>
<td align="left" valign="top">Qualitative: 4 FGD</td>
<td align="left" valign="top">44 BMSM</td>
<td align="left" valign="top">Purposive</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inductive</td>
<td align="left" valign="top">YBMSM<break/>22.3&#x202F;&#x00B1;&#x202F;2.3</td>
<td align="left" valign="top">Current: 8 (18%)<break/>Previous use: 2 (5%)<break/>Never: 34 (77%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Quinn et al. (<xref ref-type="bibr" rid="ref51">51</xref>)</td>
<td align="left" valign="top">Cleveland Milwaukee</td>
<td align="left" valign="top">Qualitative: IDI</td>
<td align="left" valign="top">46 BMSM</td>
<td align="left" valign="top">Purposive</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Thematic content (Inductive)</td>
<td align="left" valign="top">BMSM<break/>25.2&#x202F;&#x00B1;&#x202F;3.8</td>
<td align="left" valign="top">Current: 9 (20%)<break/>Previous use: 2 (4%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Quinn et al. (<xref ref-type="bibr" rid="ref8">8</xref>)</td>
<td align="left" valign="top">Cleveland Milwaukee</td>
<td align="left" valign="top">Mixed-method (quantitative)</td>
<td align="left" valign="top">283 YBMSM</td>
<td align="left" valign="top">Purposive</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">YBMSM<break/>21.70&#x202F;&#x00B1;&#x202F;2.75<break/>Range 16&#x2013;25&#x202F;years</td>
<td align="left" valign="top">Current: 37 (13%)<break/>Previous use: 23 (8%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Remy et al. (<xref ref-type="bibr" rid="ref4">4</xref>)</td>
<td align="left" valign="top">Missouri</td>
<td align="left" valign="top">Qualitative: IDI</td>
<td align="left" valign="top">12 BMSM</td>
<td align="left" valign="top">Purposive<break/>Convenience<break/>Snowball</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inductive</td>
<td align="left" valign="top">BMSM<break/>Modal age group: 26&#x2013;34 (66.7%)</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Schneider et al. (<xref ref-type="bibr" rid="ref43">43</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">PrEPChicago intervention (baseline)</td>
<td align="left" valign="top">423 YBMSM<break/>Intervention: 209<break/>Control: 214</td>
<td align="left" valign="top">Respondent-driven</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">YBMSM<break/>Mean age intervention group: 26.1&#x202F;&#x00B1;&#x202F;4.2<break/>Control group: 25.7&#x202F;&#x00B1;&#x202F;4.3</td>
<td align="left" valign="top">Intervention group: 20 (9.6%)<break/>Control group: 20 (9.4%)<break/>Total use: 9.5%</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Schueler et al. (<xref ref-type="bibr" rid="ref44">44</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="left" valign="top">218<break/>Black 190 (88.8%)</td>
<td align="left" valign="top">Snowball</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>29.8&#x202F;&#x00B1;&#x202F;10.4</td>
<td align="left" valign="top">11 (5.1%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Schuyler et al. (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cross-sectional with open-ended questions</td>
<td align="left" valign="top">160</td>
<td align="left" valign="top">Quota</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential and content analysis</td>
<td align="left" valign="top">AAYMSM<break/>17&#x2013;24&#x202F;years</td>
<td align="left" valign="top">22 (13.8%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Timmins et al. (<xref ref-type="bibr" rid="ref45">45</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cross-sectional<break/>(N2 Cohort Baseline)</td>
<td align="left" valign="top">173</td>
<td align="left" valign="top">Snowball</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>25.2&#x202F;&#x00B1;&#x202F;3.9</td>
<td align="left" valign="top">56 (32.4%)</td>
<td align="left" valign="top">High</td>
</tr>
<tr>
<td align="left" valign="top">Young et al. (<xref ref-type="bibr" rid="ref46">46</xref>)</td>
<td align="left" valign="top">Chicago</td>
<td align="left" valign="top">Cross-sectional<break/>(Baseline) (PrEP Chicago)</td>
<td align="left" valign="top">423<break/>Intervention: 209<break/>Control: 214<break/>Uptake: 406</td>
<td align="left" valign="top">Respondent-driven</td>
<td align="left" valign="top">Pill</td>
<td align="left" valign="top">Inferential</td>
<td align="left" valign="top">BMSM<break/>Mean: 26</td>
<td align="left" valign="top">40 (9.9%)</td>
<td align="left" valign="top">High</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FGD, focus group discussion; IDI: In-depth interview; YBMBM, Young Black men who have sex with men; AAYMSM, African American young men who have sex with men; GBMSM, Gay, bisexual, and other men who have sex with men.</p>
</table-wrap-foot>
</table-wrap>
<sec id="sec12">
<label>3.1</label>
<title>Study design and data collection methods</title>
<p>Of the 22 studies, 15 (62.5%) were conducted in Chicago (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref36 ref37 ref38 ref39 ref40 ref41 ref42 ref43 ref44 ref45 ref46">36&#x2013;46</xref>). The remaining studies were conducted in Michigan (<xref ref-type="bibr" rid="ref47">47</xref>), Missouri (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref48">48</xref>), and Wisconsin (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref49 ref50 ref51">49&#x2013;51</xref>); two studies focused on four regions: Detroit, Kansas, Milwaukee, and Minneapolis (<xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>).</p>
<p>Twelve (59%) studies were quantitative (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref38 ref39 ref40 ref41 ref42 ref43 ref44 ref45 ref46">38&#x2013;46</xref>, <xref ref-type="bibr" rid="ref49">49</xref>), and eight (33%) were strictly qualitative (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref50 ref51 ref52 ref53">50&#x2013;53</xref>). Two (8%) studies adopted a mixed methods design (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref37">37</xref>) but reported either quantitative findings only (<xref ref-type="bibr" rid="ref8">8</xref>) or qualitative findings only as part of a broader study (<xref ref-type="bibr" rid="ref37">37</xref>). It is important to stress that seven of the cross-sectional studies analyzed a portion of results from a cohort study (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref44 ref45 ref46">44&#x2013;46</xref>). For studies that conducted qualitative designs, whether qualitative only or from a mixed methods study, five used an in-depth interview approach (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref51">51</xref>), while four used focus group discussions (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>).</p>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>Pattern and uptake of PrEP</title>
<p>Most of the studies (<italic>n</italic>&#x202F;=&#x202F;22, 92%) focused only on oral PrEP (i.e., pills), while Biello et al. (<xref ref-type="bibr" rid="ref36">36</xref>) focused on injectable PrEP and Patel et al. (<xref ref-type="bibr" rid="ref48">48</xref>) focused on both pills and injectable PrEP. Uptake of PrEP differed across the 12 studies that quantified PrEP uptake, ranging from 3.0 to 32.4% (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref40 ref41 ref42 ref43 ref44 ref45 ref46">40&#x2013;46</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). However, overall, the findings reveal that most BMSM may not be using PrEP. For instance, 11 studies (79%) reported a PrEP uptake of less than 15% (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref38 ref39 ref40 ref41 ref42 ref43 ref44">38&#x2013;44</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref49">49</xref>); and Timmins et al. (<xref ref-type="bibr" rid="ref45">45</xref>) reported 32.4%. The two studies that reported baseline and follow-up PrEP use recorded little difference between both periods (<xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref49">49</xref>).</p>
</sec>
<sec id="sec14">
<label>3.3</label>
<title>PrEP uptake barriers</title>
<p>The barriers to PrEP uptake among BMSM in the Midwest are based on the findings of the included qualitative studies. Several barriers to PrEP uptake emerged, including PrEP unawareness, access, stigma, PrEP side effects, low socioeconomic status, trust in partners, distrust in the health system, and concerns over PrEP adherence (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Barriers and facilitators to PrEP uptake.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Theme</th>
<th align="left" valign="top">Representative quote</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">PrEP barriers</td>
</tr>
<tr>
<td align="left" valign="top">PrEP unawareness</td>
<td align="left" valign="top">&#x201C;I would probably go with the condom. I mean, just because I do not really know much about the pills because I never used it before. None of my friends have ever told me they used it. So, I just really have no education on the pill.&#x201D; (pp. 10) (<xref ref-type="bibr" rid="ref51">51</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Side effects</td>
<td align="left" valign="top">&#x201C;For starters, I would say take the pill so you can learn about the side effects. Then you can stop at any time. Once you are comfortable with the pill, you could maybe switch over to the injection.&#x201D; (p. 5) (<xref ref-type="bibr" rid="ref36">36</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Low socioeconomic status (SES)</td>
<td align="left" valign="top">&#x201C;I do not wanna say resources, because, like, everybody has the same, you know, seem like everybody got the same resources. I was thinkin&#x2019; like resources, you know, &#x2018;cuz like you said, you know, the Black community, we gotta lot of stuff on our plate. And not to say, you know, Whites do not have a lot on their plate either but, you know, we are dealing with unemployment, finding jobs, you know, the hood. All the extra stuff, stuff. A lot of stuff that&#x2019;s on our plate, and so we not really carin&#x2019; about PrEP, or whatever&#x2026;&#x201D; (p. 5) (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Lack of access to PrEP</td>
<td align="left" valign="top">&#x201C;access [to PrEP] is a pain in the a&#x002A;&#x002A;&#x201D; (p. 7) (<xref ref-type="bibr" rid="ref4">4</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Concern over PrEP adherence</td>
<td align="left" valign="top">&#x201C;I do not want the pills every day&#x2014;I would definitely miss some.&#x201D; (p. 4) Biello et al. (<xref ref-type="bibr" rid="ref36">36</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Distrust in the health system</td>
<td align="left" valign="top">&#x201C;You would think that some of the younger [Black men], maybe you would not know about Tuskegee experiments or would know about Henrietta Lacks, but you know what? &#x2026;. they did.&#x201D; (p. 11) (<xref ref-type="bibr" rid="ref4">4</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">PrEP stigma</td>
<td align="left" valign="top">&#x201C;I just did not feel good carrying it [PrEP] around. So, I stopped. Because it made it look like something it wasn&#x2019;t, the medication box&#x2026;So I just stopped, because it looked different. You know, maybe people would think like I was (HIV positive).&#x201D; (p. 9) (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Trust in partner</td>
<td align="left" valign="top">&#x201C;I mean, that&#x2019;s the reason why. My risk is not that high anymore. So, if I felt like if somebody gained that trust and I mean you do not necessarily have that risk, why are you wasting the resources? I mean not to say that you should not still protect yourself, but I just felt like if a person has that trust, you do not necessarily have to worry about it.&#x201D; (p. 4) (<xref ref-type="bibr" rid="ref53">53</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Precaution with sexual partners</td>
<td align="left" valign="top">&#x201C;I got PrEP from my doctor and I was taking it. And then I was doing research on it and stopped taking it. Because I was like&#x2026;do I want to have sex with someone who is HIV positive even if there&#x2019;s a chance that I will not get it? I was like no, I do not think so&#x2026;old fashion way.&#x201D; (p. 8) (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">PrEP facilitators</td>
</tr>
<tr>
<td align="left" valign="top">PrEP use until HIV is eradicated</td>
<td align="left" valign="top">&#x201C;It&#x2019;s scary though how it was like you might not have to take it for the rest of your life because sexuality is fluid. So that&#x2019;s like saying you know I&#x2019;m settling down with this one partner, he&#x2019;s negative, I&#x2019;m negative we can go raw! And then so I do not have to take the PrEP and then I have to take it later, but I do not know if I want to keep. If sexuality is fluid, then it would be best to just stay on PrEP. Anybody having sex should be on PrEP until we have eradicated this disease.&#x201D; (p. 8) (<xref ref-type="bibr" rid="ref47">47</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Friend influence</td>
<td align="left" valign="top">&#x201C;I kept telling my friend because he has to take pills every day. I was like, &#x2018;I do not know how you do this. I cannot.&#x2019; He was like, &#x2018;You need to go to Walgreens and buy the pill thing for every day.&#x2019; I was like, &#x2018;Oh, okay.&#x2019; Now, when I did that, I took over the world. I was consistent. I was good. So, that helped.&#x201D; (p. 7) (<xref ref-type="bibr" rid="ref37">37</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Experience with dating men living with HIV</td>
<td align="left" valign="top">&#x201C;I started taking PrEP because I dated men who were positive in the past, and so just like he said, another layer of protection. And just arming myself with like the knowledge and doing the independent research and, you know, not stigmatize anybody just because of that, yeah.&#x201D; (p. 8) (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Safety</td>
<td align="left" valign="top">&#x201C;I would take the pill most likely every night before I go to bed. I want to be safer taking it every day than whenever I have sex.&#x201D; (p. 7) (<xref ref-type="bibr" rid="ref37">37</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Phobia for HIV</td>
<td align="left" valign="top">&#x201C;Just a phobia about catching HIV really. You can be in a monogamous relationship, does not mean your partner&#x2019;s going to be monogamous. I mean you always have to protect yourself&#x2026; You got to put the responsibility in your hands.&#x201D; (p. 8) (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Disdain for condom</td>
<td align="left" valign="top">&#x201C;I personally do not like wearing condoms. And that&#x2019;s just because I&#x2019;m usually the top and I do not like the way condoms feel. So that was a big reason I got on PrEP in the first place, because I found condoms to be very frustrating experience and so I feel more sexier when I do not have to wear a condom when I&#x2019;m topping. So that&#x2019;s like my reason for taking PrEP.&#x201D; (p. 7) (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Power and personal autonomy</td>
<td align="left" valign="top">&#x201C;It&#x2019;s the truth, yeah! It gives you the autonomy to really make [sexual] decisions for yourself. So, like whatever fits you sexually. And like then I can turn the conversations to HIV a little bit more confidently, irrespective of what they will or will not share with me.&#x201D; (p. 8) (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Regarding the PrEP barriers, being unaware of PrEP was common among BMSM in the Midwest. Some BMSM reported that they had never heard of PrEP (<xref ref-type="bibr" rid="ref51">51</xref>). PrEP side effects were inhibiting factors for those who were aware of PrEP (<xref ref-type="bibr" rid="ref36">36</xref>). Additionally, we found that low socioeconomic status often prevents access to PrEP. Specifically, some BMSM were uninsured compared to their White counterparts and, as a consequence, do not have money to pay for PrEP-related care when needed, exacerbated by the difficulty in securing jobs (<xref ref-type="bibr" rid="ref50">50</xref>).</p>
<p>Furthermore, BMSM reported structural-related issues in accessing PrEP. For example, many BMSM reported they could not access PrEP in health facilities for reasons such as health workers not being aware of it or refusing to make it available to them, and even when available, the wait time can be very long (<xref ref-type="bibr" rid="ref4">4</xref>). Another barrier is distrust of the health system. BMSM continues to refer to historical unethical practices experienced by the Black community, such as the Henrietta Lacks and the Tuskegee experiments, as a reason for not using PrEP (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>BMSM reported that the fear of others knowing that they are using PrEP is a primary reason they are not interested in PrEP uptake (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). According to some of them, they risk being seen with PrEP if they opt to take it and fear that people will assume they are living with HIV (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). There is evidence that the concern of being labeled &#x201C;HIV positive&#x201D; led to the discontinuation of PrEP among some BMSM (<xref ref-type="bibr" rid="ref24">24</xref>). Interestingly, some BMSM in monogamous relationships trust their partner, and they seem not to be interested in PrEP because they perceive their HIV risk to be low, and they do not want to lose their partner&#x2019;s trust (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref53">53</xref>). Moreover, some BMSM did not see a need to be on PrEP because they do not intend to have sexual intercourse with an infected person (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
</sec>
<sec id="sec15">
<label>3.4</label>
<title>PrEP uptake facilitators</title>
<p>We found several factors that made BMSM utilize PrEP, including the safety it provides, having friends who use PrEP, fear of HIV, dislike for condoms, and experience dating men living with HIV. Specifically, some BMSM reported that they adhered to PrEP because they had friends who were on PrEP (<xref ref-type="bibr" rid="ref37">37</xref>). Furthermore, BMSM were more likely to use PrEP if they had had an experience dating men living with HIV (<xref ref-type="bibr" rid="ref52">52</xref>), mainly because it protects or provides safety against HIV infection (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref53">53</xref>).</p>
<p>Another interesting reason for PrEP uptake was the sexual autonomy and power it provides because BMSM on PrEP have more flexibility in sexual decision-making (<xref ref-type="bibr" rid="ref52">52</xref>). Moreover, they felt that it was better to be on PrEP than use condoms, which they perceived to be &#x201C;frustrating&#x201D; and less enjoyable (<xref ref-type="bibr" rid="ref52">52</xref>). BMSM also alluded that they choose to use PrEP because of fear of contracting HIV (<xref ref-type="bibr" rid="ref52">52</xref>), and many chose to remain on PrEP until HIV is &#x201C;eradicated&#x201D; (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>4</label>
<title>Discussion</title>
<p>This systematic review assessed barriers and facilitators to PrEP use among BMSM in the Midwestern states. The uptake of PrEP appears low among BMSM in the Midwest. Most of the studies that quantified PrEP uptake reported a prevalence of less than 15%, and we found several barriers that could influence the lack of PrEP use among BMSM from qualitative studies only. This leaves a gap that needs to be filled by researchers interested in PrEP-related research.</p>
<sec id="sec17">
<label>4.1</label>
<title>PrEP uptake barriers</title>
<p>One major barrier to PrEP uptake was the lack of PrEP awareness and knowledge among BMSM. Coukan et al. (<xref ref-type="bibr" rid="ref54">54</xref>) found a similar issue in their review of barriers to PrEP among underserved populations and MSM in the United Kingdom (UK). Knowledge and awareness of PrEP should precede its access and uptake. This calls for more sensitization of PrEP not just for BMSM in the Midwest but also for all key or priority populations globally. Lack of awareness was not limited to BMSM alone; we also found evidence of a lack of knowledge and awareness of PrEP among healthcare providers. Previous US reviews have also reported a similar finding from a pool of studies across several states (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref55">55</xref>). Lancki et al. (<xref ref-type="bibr" rid="ref40">40</xref>) reported that the extent to which healthcare providers influence low PrEP awareness and uptake among those who need it might be uncertain, but it is worrisome as it directly impacts counseling and PrEP prescription for BMSM in the US, and could have a negative effect on interventions (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref56">56</xref>).</p>
<p>Interventions to improve PrEP awareness should be bidirectional, focusing on BMSM (and other priority populations) and healthcare providers; the latter may be more important than the former. An earlier systematic review of healthcare providers&#x2019; barriers to PrEP in the US found no intervention tailored toward the improvement of healthcare providers&#x2019; knowledge (<xref ref-type="bibr" rid="ref55">55</xref>); Pleuhs and colleagues also reported the willingness of healthcare providers to prescribe PrEP after an educational intervention; this gap needs urgent attention (<xref ref-type="bibr" rid="ref55">55</xref>).</p>
<p>Another barrier that impedes on BMSM&#x2019;s PrEP uptake was low SES. We found that BMSM with low SES were less likely to initiate PrEP and other health services. This perhaps led to complete neglect of the healthcare system and interest in PrEP. Some BMSM prioritized earning a living in the face of unemployment, which is perceived to be more prevalent among Black/African American populations (<xref ref-type="bibr" rid="ref57">57</xref>).</p>
<p>Furthermore, lack of access to PrEP was a major a barrier. BMSM appeared to have issues accessing health facilities to obtain PrEP, similar to the findings of earlier reviews (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref54">54</xref>). The lack of access to PrEP may be due to financial difficulties, lack of medical insurance, and limited deliveries of PrEP to Black communities (<xref ref-type="bibr" rid="ref30">30</xref>). Also, despite the implementation of TelePrEP in Iowa to address access and other barriers, only a few African Americans (17/167) initiated PrEP (<xref ref-type="bibr" rid="ref58">58</xref>). Innovative strategies are required to overcome PrEP access, especially for BMSM and other priority populations (<xref ref-type="bibr" rid="ref59">59</xref>).</p>
<p>HIV-related stigma was another barrier identified in this review. HIV-related stigma may have a negative effect on PrEP uptake because there are concerns that being on PrEP may attracts social stigma, particularly enacted stigma, and some BMSM were worried about being perceived to be sexually deviant or promiscuous. Other reviews focused on MSM and transgender persons in the US and UK have established a similar observation (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref55">55</xref>). Public health experts in the HIV space need to sensitize the larger community about PrEP benefits to reduce the PrEP-related stigma.</p>
<p>Moreover, another important barrier to PrEP uptake among BMSM was their knowledge of previous unethical experiments like the Tuskegee experiment with the Black or African American community Throughout history, the health system has not earned the trust of the Black community following previous unethical experiments (e.g., the Tuskegee experiment), and HIV treatment is a famous example, which unfortunately seems to be playing out with PrEP. Lack of trust in the health system was reported by several PrEP-related reviews (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref55">55</xref>).</p>
</sec>
<sec id="sec18">
<label>4.2</label>
<title>PrEP uptake facilitators</title>
<p>Regarding PrEP facilitators, this review found that BMSM were not interested in using PrEP if they trusted that their partners were faithful to them and if they were in a monogamous relationship. We did not find an earlier review with a similar observation among BMSM. Naturally, trust strengthens the bond between couples. Some may argue that having trust in a partner may not be a barrier to PrEP use as there may not be a need to be on PrEP if there are no risks. Interestingly, we also found that trust did not matter to some BMSM as they were on PrEP to limit their risk of contracting HIV. Also, being in a monogamous relationship does not necessarily mean that one&#x2019;s partner may not have other sexual partners, which led to regular PrEP use by some BMSM. This result corroborates other primary studies conducted in the US and Vietnam (<xref ref-type="bibr" rid="ref60">60</xref>, <xref ref-type="bibr" rid="ref61">61</xref>).</p>
<p>The present review provides some insights into factors that influence PrEP use among BMSM. BMSM were more likely to use PrEP if they had friends living with HIV, perhaps due to perceived susceptibility to HIV. Not surprisingly, those who have previously dated men living with HIV were motivated to be on PrEP to reduce their chances of contracting HIV (<xref ref-type="bibr" rid="ref62">62</xref>).</p>
<p>This review found that some BMSM prefer condomless sexual intercourse, claiming that condoms reduce pleasure, and choose to reduce HIV risk by being on PrEP. The debate on the sensitivity of condoms has been long discussed. However, it may be acceptable to choose from the range of HIV preventive strategies available since all the preventive strategies have a similar objective &#x2013; preventing HIV. Also, some BMSM chose to be on PrEP to minimize HIV risk, irrespective of the level of trust for their partners (<xref ref-type="bibr" rid="ref63">63</xref>).</p>
<p>This review is not without limitations. This is the first review to report about BMSM in the US Midwest. However, the findings may not generalize to other BMSM outside the Midwest or the US because the context may differ. Our coding of the themes may not have captured the true picture of what individual studies intended, as we cannot access the full transcripts and interview guides. Also, a few studies had a small number of non-BMSM participants in their sample, which may have impacted our findings. Moreover, some studies were conducted by the same authors who may have published these studies using the same data and population, which may influence our conclusions. Additionally, many of the previous reviews that we compare our results to focus mostly on urban areas. Therefore, we are not able to differentiate between urban and rural communities in our paper. Also, we could not perform a meta-analysis for quantitative data due to the heterogeneity of the data obtained from the included studies. For instance, some studies had a few participants who were bisexual (men who have sex with men and women, and others had transgender women who have sex with men). A pooled estimate of the uptakes may be possible with a sub-group meta-analysis; however, because of the variation in population and study designs, we may be committing type 2 error due to fewer studies in each subgroup analysis. It was not advisable to pool estimates with traces of heterogeneity and bias (<xref ref-type="bibr" rid="ref64">64</xref>).</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>5</label>
<title>Conclusion</title>
<p>We synthesized common and ubiquitous barriers to PrEP uptake among BMSM in the Midwestern states of the US, including lack of PrEP awareness by BMSM and healthcare providers, PrEP access, PrEP stigma, and distrust in the health system. For BMSM using PrEP, friends influences, experiences dating other men living with HIV, displeasure from condoms, and fear of HIV were some of the reasons they opted for PrEP. Although these barriers and facilitators are not unique to the Midwest, they are important to consider in developing HIV prevention interventions in the region. Fundamental issues must be addressed to flatten the HIV curve for BMSM and other sexual minority populations. Multimodal and multilevel strategies are needed to improve PrEP uptake among BMSM. Poor knowledge or lack of PrEP awareness is arguably the major barrier to PrEP uptake because intention to act (use PrEP) may be influenced by knowledge of PrEP. Although knowledge of PrEP does not necessarily increase PrEP use (as the history of institutional and structural racism may impede PrEP uptake), PrEP awareness can serve as the entry point to its use. Therefore, the increase in PrEP awareness and knowledge is important. Furthermore, the initiative and funds directed toward HIV treatment can be replicated in HIV prevention, particularly the availability and accessibility of low-cost or free PrEP for users. Moreover, perhaps due to previous unethical experiments and individual experience engaging with HIV care, there is a need to build the trust of those with default mistrust for biomedical innovations through genuine information about PrEP (including its potential side-effects) and community engagements, with an emphasis on Black communities. Biomedical and HIV researchers must show transparency in trials and clinical research to boost the confidence of the target population, such as MSM and other priority populations. Finally, more advocacy on the importance of PrEP and the need to support persons interested in PrEP is needed while discouraging PrEP-related stigma. Innovations like long-lasting PrEP, such as injectable PrEP, and portraying PrEP as a medication for all rather than a specific population with a risk for HIV may help improve the visibility and acceptance of PrEP.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>OA: Conceptualization, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. OB: Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PA: Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AH: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MB: Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XL: Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. RA: Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec23">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec24">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec25">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec26">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1510391/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1510391/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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