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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JFR</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id>
      <journal-title>JMIR Formative Research</journal-title>
      <issn pub-type="epub">2561-326X</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v6i8e34181</article-id>
      <article-id pub-id-type="pmid">35947442</article-id>
      <article-id pub-id-type="doi">10.2196/34181</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Refining a Multicomponent Intervention to Increase Perceived HIV Risk and PrEP Initiation: Focus Group Study Among Black Sexual Minority Men</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Leung</surname>
            <given-names>Tiffany</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Hickson</surname>
            <given-names>DeMarc</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Winder</surname>
            <given-names>Terrell</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Lelutiu-Weinberger</surname>
            <given-names>Corina</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Khanna</surname>
            <given-names>Aditya</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Dangerfield II</surname>
            <given-names>Derek T</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Johns Hopkins School of Nursing</institution>
            <addr-line>525 N Wolfe St</addr-line>
            <addr-line>Baltimore, MD, 21205</addr-line>
            <country>United States</country>
            <phone>1 410 955 3757</phone>
            <email>ddanger2@gwu.edu</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2473-3183</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Anderson</surname>
            <given-names>Janeane N</given-names>
          </name>
          <degrees>MPH, PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2602-6957</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Wylie</surname>
            <given-names>Charleen</given-names>
          </name>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3745-1238</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Arrington-Sanders</surname>
            <given-names>Renata</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3801-901X</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Bluthenthal</surname>
            <given-names>Ricky N</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3491-1702</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Beyrer</surname>
            <given-names>Christopher</given-names>
          </name>
          <degrees>MPH, MD</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0665-9124</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Farley</surname>
            <given-names>Jason E</given-names>
          </name>
          <degrees>MPH, PhD, ANP-BC</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6896-0134</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Johns Hopkins School of Nursing</institution>
        <addr-line>Baltimore, MD</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Us Helping Us, People Into Living, Inc</institution>
        <addr-line>Washington, DC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>University of Tennessee Health Science Center</institution>
        <addr-line>Memphis, TN</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Johns Hopkins School of Medicine</institution>
        <addr-line>Baltimore, MD</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Keck School of Medicine of the University of Southern California</institution>
        <addr-line>Los Angeles, CA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Johns Hopkins Bloomberg School of Public Health</institution>
        <addr-line>Baltimore, MD</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Derek T Dangerfield II <email>ddanger2@gwu.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>8</month>
        <year>2022</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>10</day>
        <month>8</month>
        <year>2022</year>
      </pub-date>
      <volume>6</volume>
      <issue>8</issue>
      <elocation-id>e34181</elocation-id>
      <history>
        <date date-type="received">
          <day>9</day>
          <month>10</month>
          <year>2021</year>
        </date>
        <date date-type="rev-request">
          <day>11</day>
          <month>1</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>28</day>
          <month>4</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>8</day>
          <month>7</month>
          <year>2022</year>
        </date>
      </history>
      <copyright-statement>©Derek T Dangerfield II, Janeane N Anderson, Charleen Wylie, Renata Arrington-Sanders, Ricky N Bluthenthal, Christopher Beyrer, Jason E Farley. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.08.2022.</copyright-statement>
      <copyright-year>2022</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://formative.jmir.org/2022/8/e34181" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Increased preexposure prophylaxis (PrEP) initiation is needed to substantially decrease HIV incidence among Black sexual minority men (BSMM). However, BSMM perceive others as PrEP candidates instead of themselves and are less likely than other groups to use PrEP if prescribed. Peers and smartphone apps are popular HIV prevention intervention tools typically used independently. However, they could be useful together in a multicomponent strategy to improve perceived HIV risk and PrEP initiation for this group. Information regarding attitudes and preferences toward this multicomponent strategy is limited.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>The goal of this study is to obtain attitudes and perspectives regarding the design of a multicomponent intervention that uses a smartphone app and a peer change agent (PCA) to increase perceived HIV risk and PrEP initiation. The intervention will be refined based on thematic findings for a culturally responsive approach.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>Data were obtained guided by life course theory and the health belief model using 12 focus groups and 1 in-depth interview among HIV-negative BSMM from Baltimore, MD, between October 2019 and May 2020 (n=39). Groups were stratified by the following ages: 18 to 24 years, 25 to 34 years, and 35 years and older. Participants were provided details regarding an existing mobile app diary to self-monitor sexual behaviors and a hypothetical PCA with whom to review the app. Facilitators posed questions regarding perceived HIV risk, attitudes toward the app, working with a PCA, and preferences for PCA characteristics and approaches.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Most participants identified as homosexual, gay, or same gender-loving (26/38, 68%), were employed (26/38, 69%), single (25/38, 66%), and interested in self-monitoring sexual behaviors (28/38, 68%). However, themes suggested that participants had low perceived HIV risk, that self-monitoring sexual behaviors using a mobile app diary was feasible but could trigger internalized stigma, and that an acceptable PCA should be a possible self for BSMM to aspire to but they still wanted clinicians to “do their job.”</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>HIV-negative BSMM have dissonant attitudes regarding perceived HIV risk and the utility of a mobile app and PCA to increase perceived HIV risk and PrEP initiation. Future research will explore the feasibility, acceptability, and preliminary impact of implementing the multicomponent intervention on perceived HIV risk and PrEP initiation among BSMM in a pilot study.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>sexual health</kwd>
        <kwd>life course theory</kwd>
        <kwd>health belief</kwd>
        <kwd>possible</kwd>
        <kwd>HIV</kwd>
        <kwd>preexposure prophylaxis</kwd>
        <kwd>mHealth</kwd>
        <kwd>smartphone</kwd>
        <kwd>health app</kwd>
        <kwd>digital health</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>The United States will not reach its plan to end the HIV epidemic unless HIV incidence among Black sexual minority men (BSMM) substantially decreases [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. Between 2015 and 2019, HIV incidence increased by 6% among BSMM aged 25 to 34 years; in 2019, BSMM accounted for 26% of HIV infections among US gay and bisexual men [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. Approximately 75% of BSMM newly diagnosed with HIV are under the age of 35 years [<xref ref-type="bibr" rid="ref1">1</xref>]. Preexposure prophylaxis (PrEP) use, however, remains substantially lower for BSMM than for other racial/ethnic groups of gay and bisexual men [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>]. Increased PrEP initiation is urgently needed to substantially decrease HIV incidence for this group [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. To achieve the US plan to end the HIV epidemic, incidence among BSMM must substantially decrease [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. Between 2015 and 2019, HIV incidence increased by 6% among BSMM aged 25 to 34 years; in 2019, BSMM accounted for 26% of HIV infections among US gay and bisexual men [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. Approximately 75% of BSMM newly diagnosed with HIV are under the age of 35 years [<xref ref-type="bibr" rid="ref1">1</xref>]. Increased PrEP initiation is urgently needed to substantially decrease HIV incidence for this group [<xref ref-type="bibr" rid="ref6">6</xref>].</p>
      <p>Despite increased awareness, multilevel factors such as insufficient insurance coverage, medication costs, stigma, problems with patient-clinician communication, medical mistrust, concerns regarding side effects, and low perceived HIV risk are barriers to PrEP initiation for BSMM [<xref ref-type="bibr" rid="ref7">7</xref>-<xref ref-type="bibr" rid="ref11">11</xref>]. Some BSMM perceive others as at higher risk for HIV infection than themselves and do not view themselves as PrEP candidates because they view their current behaviors as relatively lower risk than their past or their peers [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>]. Perceived HIV risk among BSMM is also influenced by decreased stigma regarding living with HIV due to data showing that individuals living with HIV can live healthy lives and that individuals with an undetectable viral load cannot transmit the virus [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>]. However, in a high-prevalence subpopulation, low perceived HIV risk inadequately identifies their objective risk. BSMM with higher perceived HIV risk have greater PrEP interest and use than those with lower perceived HIV risk [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>]. Since multilevel factors affect sexual behaviors, perceived HIV risk, and PrEP initiation among BSMM, interventions that address these barriers are needed.</p>
      <p>Peers and smartphone apps are popular HIV prevention tools. Some interventions leverage in-group members as peer change agents (PCAs) who disseminate health-related information within the population for behavior change [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref21">21</xref>]. Other interventions use apps as electronic diaries because self-monitoring risk behaviors facilitates reflection and reactivity to reduce risks [<xref ref-type="bibr" rid="ref22">22</xref>-<xref ref-type="bibr" rid="ref26">26</xref>]. PCAs and apps as intervention tools can address multilevel barriers to PrEP by reducing stigma, circumventing discriminatory health care services, and improving access to care. However, these tools have typically been used independently. Few studies have incorporated PCAs and mobile app–based diaries in a multicomponent strategy, which could be useful to increase perceived HIV risk and PrEP initiation among BSMM.</p>
      <p>We designed a multicomponent intervention that consists of an existing smartphone app called PrEPme [<xref ref-type="bibr" rid="ref18">18</xref>] and a PCA to increase perceived HIV risk and willingness to initiate PrEP among BSMM. Briefly, PrEPme is a smartphone app designed for Maryland users to obtain statewide PrEP service information and navigation support from a community health worker [<xref ref-type="bibr" rid="ref18">18</xref>]. PrEPme also allows users to self-monitor sexual risk behaviors, view a graph of sexual risk behaviors by week and month (<xref rid="figure1" ref-type="fig">Figure 1</xref>), and chat with the in-app community health worker to obtain PrEP service information [<xref ref-type="bibr" rid="ref18">18</xref>]. In our intervention, we planned for a PCA to meet with HIV-negative BSMM during 2 sessions one month apart. In the baseline session, the PCA would conduct a motivational interview–consistent conversation with HIV-negative BSMM to assess their lifestyles, personal goals and values, HIV risk behaviors, perceived HIV risk, and relative PrEP interest [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref27">27</xref>]. At the end of the session, BSMM would be asked to download PrEPme to record their sexual risk behaviors during the month. In the second session, the PCA would review the diary with BSMM and conduct another motivational interview–consistent conversation to explore motivations for relative HIV risk behaviors, check alignment with goals and values, and assess their PrEP interest. A key utility of the PCA includes sharing health-related information regarding relative and acute risks for HIV, answering questions regarding PrEP efficacy and side effects, and tailoring prevention messaging to improve perceived HIV risk given the information in the PrEPme dashboard. At the end of each session, the PCA would collaborate with BSMM to help interested participants obtain PrEP services.</p>
      <fig id="figure1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>PrEPme smartphone app dashboard.</p>
        </caption>
        <graphic xlink:href="formative_v6i8e34181_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
      </fig>
      <p>Guided by life course theory (LCT) [<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>] and the health belief model (HBM) [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>], we hypothesize that this approach could prove feasible and acceptable, mitigate multilevel barriers, and improve perceived HIV risk and PrEP initiation among BSMM. LCT suggests that age-related differences in exposures to risk, timing of major life events, and accumulated risks impact health behaviors and outcomes [<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]. The HBM posits that perceived disease susceptibility can lead to increased engagement in healthy behaviors [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. Together, this framework informed the design of our multicomponent intervention. Perceived HIV risk and PrEP initiation could be improved by providing BSMM with PrEPme to self-monitor sexual risk and a PCA to change attitudes toward HIV acquisition and introduce PrEP. However, the success of an intervention among BSMM relies upon a culturally responsive strategy prior to its implementation and requires clarity regarding the components and potential barriers [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref35">35</xref>-<xref ref-type="bibr" rid="ref37">37</xref>]. Therefore, the aim of this study is to explore attitudes toward the intervention guided by our theoretical framework and identify ways to refine the strategy based on feedback from the target population. Findings from this formative research will be used to finalize the study protocol and implement the multicomponent intervention.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Ethics Approval</title>
        <p>All study procedures were approved by Johns Hopkins School of Medicine institutional review board (IRB00211578).</p>
      </sec>
      <sec>
        <title>Recruitment and Study Sample</title>
        <p>Data were obtained from 12 focus groups and 1 in-depth interview among BSMM from Baltimore, MD, between October 2019 and May 2020 [<xref ref-type="bibr" rid="ref38">38</xref>]. Participants were recruited using a combination of active (eg, contacting participants from previous studies who provided written consent to be called for future research) and passive (eg, advertising on Craigslist, obtaining participant referrals) strategies [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Participants were eligible based upon the following criteria: self-identifying as Black or African American, self-identifying as a man, aged 18 years or older, self-reporting as HIV negative, having oral/anal sex with at least 1 male partner in the previous 6 months, and residing in Baltimore, MD.</p>
      </sec>
      <sec>
        <title>Study Procedures</title>
        <p>Most focus groups (n=9) were conducted in a private designated research space at Johns Hopkins School of Nursing. The protocol for the last 3 focus groups was updated to a virtual, synchronous format for safety due to COVID-19. Details regarding the protocol for virtual, synchronous focus group conduct have been published elsewhere [<xref ref-type="bibr" rid="ref35">35</xref>]. The focus group guide was designed using LCT and HBM constructs, and groups were stratified by 3 age groups: 18 to 24 years, 25 to 34 years, and 35 years and older. Groups were limited to 5 or fewer for feasibility and to allow all participants to respond to each question [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. An in-depth interview was conducted because only 1 participant attended a scheduled focus group and still wanted be a part of the study and share thoughts regarding the intervention [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. Two facilitators led the focus groups (and interview). One moderated discussions and recorded notes; the other recorded notes, observed group dynamics, and conducted administrative activities [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. In-person participants provided written informed consent; virtual participants provided oral informed consent that was documented by the study team prior to beginning the focus group [<xref ref-type="bibr" rid="ref35">35</xref>].</p>
        <p>Data collection included reflexive debriefing among the facilitators before and after every focus group to review research intentions, identify potential biases, explore personal challenges of the investigative team, and explore preliminary themes [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>]. Data collection began with a written or online survey via Qualtrics assessing demographic and behavioral characteristics along with perceived HIV risk, assessed using the 8-item Perceived Risk of HIV scale [<xref ref-type="bibr" rid="ref41">41</xref>], the scores for which ranged from 10 to 40, indicating low-to-high perceived HIV risk. Focus groups were conducted after the survey and lasted 50 to 75 minutes. Facilitators began by asking participants for details regarding their current lifestyles and social activities and how their lives and self-image would change if they received a positive HIV test result to learn more about their perceived severity of disease. Facilitators also targeted domains regarding participants’ thoughts about their behaviors and their risk relative to learning the high HIV prevalence within the city and likelihood of infection for BSMM nationally [<xref ref-type="bibr" rid="ref6">6</xref>]. Facilitators then shared details regarding PrEPme using handouts and live demonstrations on a smartphone and asked questions regarding attitudes toward using the app to self-monitor sexual risk behaviors. After obtaining attitudes toward the app, facilitators asked questions regarding the usefulness of a PCA in the intervention, attitudes toward sharing their PrEPme diary with the PCA, ideal PCA characteristics, and potential barriers to working with a PCA. All participants were compensated $80 [<xref ref-type="bibr" rid="ref35">35</xref>].</p>
      </sec>
      <sec>
        <title>Data Analysis</title>
        <p>All focus groups were audiorecorded and transcribed verbatim by an IRB-approved company. The first author reviewed all transcriptions for fidelity to audio files and revised text files as needed prior to coding in ATLAS.ti (version 8.4, ATLAS.ti Scientific Software Development GmbH). The facilitators reviewed all focus group recordings, transcripts, and notes and then designed a codebook for descriptive thematic analysis using the questions in the focus group guide (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). The first author coded transcripts and systematically identified themes using an adapted pile-sorting approach whereby quotes associated with specific codes in ATLAS.ti were into an Excel (Microsoft Corp) spreadsheet and organized [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. The facilitators then reviewed the quotes associated with codes and sorted them into piles for similarity within Excel to represent themes. Facilitators identified themes as patterns or novel responses associated with specific codes or focus group questions. To identify a range of themes, novel responses that at least 1 person in the group mentioned were also considered [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref43">43</xref>]. Between-group analysis was conducted to identify potential thematic differences by age.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Demographic Characteristics and Descriptive Data</title>
        <p>Data resulted in 5 groups of BSMM aged 18 to 24 years, 4 groups aged 25 to 34 years, 3 groups aged 35 years and older, and 1 in-depth interview with a participant aged 18 to 24 years (n=39). All except 1 participant completed the survey (<xref ref-type="table" rid="table1">Table 1</xref>). Most who completed the survey identified as homosexual, gay, or same gender-loving (26/38, 68%), were employed (26/38, 69%), and single (25/38, 66%). A total of 34% (13/39) of participants had ever been diagnosed with an STI, of whom 38% (5/13) had repeated at least one STI. Perceived Risk of HIV scores ranged from 13 to 40 (x̄=22.4, s=5.3), and HIV Incidence Risk Index for Men Who Have Sex With Men scores ranged from 5 to 28 (x̄=16.2, s=5.7). Most (26/38, 68%) were interested in using a smartphone app to self-monitor their sexual behaviors. Half (19/39, 50%) of surveyed participants had ever used PrEP; 12 out of the 39 reported being current PrEP users.</p>
        <p>Focus groups yielded important themes regarding perceived HIV risk and attitudes toward the proposed multicomponent intervention.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Demographic and behavioral characteristics among Black sexual minority men (n=38).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="670"/>
            <col width="300"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variable</td>
                <td>Value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">
                  <bold>Sexual orientation, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Heterosexual or straight</td>
                <td>2 (5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Homosexual, gay, or same gender-loving</td>
                <td>26 (68)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Bisexual</td>
                <td>5 (13)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Pansexual</td>
                <td>2 (5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not sure or questioning</td>
                <td>1 (3)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Highest level of education completed, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Grade 11 or less</td>
                <td>2 (5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Grade 12 or GED equivalent</td>
                <td>16 (42)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Some college</td>
                <td>6 (16)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Associate degree</td>
                <td>3 (8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Bachelor’s degree</td>
                <td>5 (13)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Some graduate work</td>
                <td>2 (5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Graduate degree</td>
                <td>4 (10)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Employment status, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Full-time</td>
                <td>22 (58)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Part-time</td>
                <td>4 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Unemployed</td>
                <td>9 (24)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td>3 (8)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Relationship status, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Single</td>
                <td>25 (66)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>In a committed relationship</td>
                <td>8 (21)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>In an open relationship</td>
                <td>4 (10)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Married to a man</td>
                <td>1 (3)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Ever diagnosed with STI<sup>a</sup>, n (%)</bold>
                </td>
                <td>13 (34)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Repeated STIs</td>
                <td>5 (38)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Last HIV test<sup>b</sup>, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Never</td>
                <td>1 (3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Less than 1 month ago</td>
                <td>17 (45)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>1-3 months ago</td>
                <td>12 (32)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>3 months ago or longer</td>
                <td>6 (16)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>App interest, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>26 (68)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>6 (16)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Don’t know</td>
                <td>6 (16)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Ever used PrEP<sup>c</sup> (yes), n (%)</bold>
                </td>
                <td>19 (50)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Current PrEP use (among ever users)</td>
                <td>12 (63)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>PrEP telehealth interest, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>16 (42)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>15 (39)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Don’t know</td>
                <td>7 (18)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>PrEP injectable interest, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>22 (58)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>13 (34)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Don’t know</td>
                <td>3 (8)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Interest in doxycycline for syphilis PrEP, n (%)</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>20 (53)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>10 (26)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Don’t know</td>
                <td>8 (21)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">HIRI-MSM<sup>d</sup> score, mean (SD)</td>
                <td>16.2 (5.8)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Perceived risk of HIV score, mean (SD)</td>
                <td>22.4 (5.3)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>STI: sexually transmitted disease.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>One participant who completed the survey did not provide information regarding their last HIV test.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>PrEP: preexposure prophylaxis.</p>
            </fn>
            <fn id="table1fn4">
              <p><sup>d</sup>HIRI-MSM: HIV Incidence Risk Index for Men Who Have Sex With Men.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Low HIV Risk Perceptions While Perceiving Others as Risky</title>
        <p>Across and within age groups, participants provided polarizing responses regarding perceived HIV risk. They mentioned that HIV infection would impact their mental health due to lifestyle changes and anticipated stigma from society and potential partners, but they expected to overcome those challenges since contemporary medications improved longevity and quality of life. Despite being presented with Centers for Disease Control and Prevention data regarding HIV prevalence and incidence among BSMM locally and nationally, participants across age groups still perceived their HIV risk as low—even if they disclosed drug use or condomless sex. Each group used positive terms such as goal-oriented and caring to describe themselves and reckless, impulsive, and drug addict to describe individuals they thought were likely to acquire HIV. However, they also mentioned they occasionally had the same characteristics as someone they perceived as high risk for HIV despite not equating their current sexual behaviors as high risk. BSMM in the 2 youngest groups specifically compared their current behaviors to their past and their friends who they believed had riskier behaviors or who had acquired HIV.</p>
      </sec>
      <sec>
        <title>Self-monitoring Sexual Behaviors Triggers Internalized Stigma and Shame</title>
        <p>Across groups, participants reported barriers regarding using PrEPme such as remembering to use it and providing honest responses. Those aged 18 to 34 years generally agreed that having a smartphone app diary could be useful for individuals with higher risk behaviors (eg, individuals who use drugs, practice condomless sex with multiple partners), but men age 35 years and older did not think it would be useful or used among BSMM. Participants across all age groups reported that seeing their sexual activities summarized on the dashboard could trigger feelings of internalized stigma regarding their risk behaviors (see <xref ref-type="boxed-text" rid="box1">Textbox 1</xref>).</p>
        <p>Participants agreed that having an in-app dashboard of sexual risk behaviors would decrease BSMM’s willingness to provide honest responses and use PrEPme for long. Some added that seeing their condomless sex and receptive anal sex activities in the app could exacerbate internalized stigma and shame that would cause them to discontinue use because society, gay men, and clinicians stigmatize those behaviors.</p>
        <boxed-text id="box1" position="float">
          <title>Group aged 18 to 24 years (December 14, 2019).</title>
          <p>S2: 42:29 “Some people will have sex to escape from their reality. Some people have sex because they’re sex addicts. Then you see it as offensive because it’s basically in your face like know what you’re doing. You’re constantly reminded that you,—“</p>
          <p>S3: 42:42 “You’re being a ‘THOT’”</p>
          <p>S2: 42:43 “—you’re being a sexually active person—it’s nothing wrong with having sex. Sex is a natural desire of man. Let’s say I’ve got the app ‘cause I’m trying to work on myself. And I see that I had 12 partners this week. I see that as offensive because now I’m like, ‘All right, I had 12 partners this week,’ and now I start attacking myself... This [gonna] make me feel insecure about myself because it’s right there in front of my face. I can’t deny. I can’t lie to the app.”</p>
        </boxed-text>
      </sec>
      <sec>
        <title>Concerns Regarding Privacy From App Developers and In-App Community Health Workers</title>
        <p>The youngest 2 age groups mentioned concerns that their sexual diary could be hacked by app developers or seen by community health workers who were in-app support systems for PrEP linkage. These concerns could be related to anticipated stigma and shame regarding the sexual behaviors documented in the app. However, participants did not mention this explicitly or associate these directly.</p>
      </sec>
      <sec>
        <title>The PCA as a Future Self</title>
        <p>Overall, most participants across age groups affirmed that having another BSMM to discuss sexual health and PrEP before visiting a PrEP-prescribing clinician was acceptable if he was relatable and trustworthy. They specified that the PCA should be Black and a current PrEP user so they could share their experiences with side effects and maintaining adherence (see <xref ref-type="boxed-text" rid="box2">Textbox 2</xref>).</p>
        <p>These and other characteristics such as aesthetics (eg, style of dress), language use, personal disclosures, and neighborhood familiarity served as indicators for BSMM to use to anticipate how stigmatizing, trustworthy, or relatable the PCA would be.</p>
        <p>Despite agreeing that having another BSMM as a PCA was acceptable in a clinical intervention, there were age group differences regarding additional PCA characteristics and the practical role of the PCA. Specifically, those aged 18 to 24 years shared preferences for having a PCA who was older or a Black woman, partly due to anticipated within-group stigma from another BSMM who might judge their sexual behaviors as risky. Older participants shared that they would prefer not to engage with a PCA in practice because they did not want to relieve clinicians of the responsibility of asking detailed and personal questions to know them as patients. They also mentioned concerns that working with a PCA prior to visiting a clinician could be another barrier to PrEP initiation for interested BSMM. Still, the older men agreed that the PCA should be a BSMM who was professional yet relatable to discuss specific cultural issues and PrEP-related concerns such as side effects, efficacy, and relative risks for HIV infection by sexual positioning.</p>
        <boxed-text id="box2" position="float">
          <title>Group aged 35 years and older (February 1, 2020).</title>
          <p>S3: 35:45 “I feel like some people will share with people that they see some of their self in that person. So, like, for you, for example, I feel more comfortable talking to you about this—”</p>
          <p>S6: 35:59 “Yeah.”</p>
          <p>S3: 36:00 “—because you are—I do see a lot of myself in you. I know we’re two completely different people but, rather than sitting here talking to like an older straight white lady. It would be a little uncomfortable ‘cause she don’t know this lifestyle like you do. She don’t know what we go through as a young Black gay male.”</p>
          <p>S2: 36:24 “Yeah.”</p>
          <p>S3: 36:25 “And to even see you have, like, your style—your hair, all that, that helps out... So when you have somebody like you in a room and just to know you a doctor and you still look like me. You’re still young. You groomed, you got the haircut. It just makes you more comfortable.”</p>
          <p>S2: 37:19 “Yeah, you right because it took me a long time to open up to my doctor, she’s white.”</p>
          <p>S2: 1:01:35 “He made a good example how he sees himself in you—sometimes that’s a good thing as well. You sitting there like, ‘That’s my past and I’m their future self, so I can give a little bit more insight on certain things, so they don’t have to worry about going through what they went through.’”</p>
        </boxed-text>
      </sec>
      <sec>
        <title>Sharing App Data With PCA to Avoid Negative Patient-Clinician Communications</title>
        <p>Across groups, participants acknowledged that a benefit of a PCA in this intervention included being able to discuss sexuality freely and trusting the PCA’s cultural competency more than that of a clinician who was not a BSMM (see <xref ref-type="boxed-text" rid="box3">Textbox 3</xref>).</p>
        <p>They mentioned that a PCA could help circumvent potentially stigmatizing or unsatisfactory conversations with clinicians regarding sexual risks but were not interested in the PCA discussing health concerns with the clinician on their behalf. Their interest in sharing their PrEPme dashboard with a PCA or clinician was contingent on their perception of how judgmental and trustworthy either would be.</p>
        <boxed-text id="box3" position="float">
          <title>Group aged 25 to 34 years (May 5, 2020).</title>
          <p>S2: 37:39 “I think that for the sake of like having a real conversation, if it’s somebody that I’m uncomfortable with, I would rather have the conversation in a real tone that’s a peer.”</p>
          <p>S3: 37:57 “And someone who looks like me.”</p>
          <p>S2: 37:59 “Yeah. And, and they got all the real information, you know what I mean? And they can turn that around and give that to the doctor, because the doctor doesn’t know how to talk to me. The doctor is saying to me, you know, <italic>receptive</italic>, you know what I mean? Versus the peer is saying to me, <italic>bottom</italic>, like, you know. And it’s like, I understand the two roles— like the two roles. But like I don’t think that that’s necessary to repeat myself, if the rapport with the doctor that I have is great. But if the rapport is trash, and that doctor is trash, and I don’t feel comfortable with that doctor, then I’m fine with talking to somebody else to make sure that the point is really internalized.”</p>
        </boxed-text>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>We designed a multicomponent strategy to increase perceived HIV risk and PrEP initiation among BSMM and obtained in-group perspectives regarding the intervention components for refinement. Overall, BSMM had low-to-moderate perceived HIV risk. Using a PCA as an interventionist could be feasible and acceptable among younger BSMM. However, findings are inconclusive regarding feasibility of using the diary in PrEPme to record and review sexual behaviors for this group. We found age-related differences in attitudes toward the intervention components, which could result from different exposures to HIV-related deaths by age group and changes in personal agency and perceived support needs due to older age [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. Novel insights regarding stigma and shame also emerged that informed considerations for intervention refinement.</p>
        <p>BSMM held dissonant attitudes between their sexual behaviors and HIV risk, perceiving their risk as low. Other studies among BSMM have found similar results [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref45">45</xref>]. Having lower perceived HIV risk could be an attempt to combat stereotype threat, which is a perceived risk of conforming to negative stereotypes about a group [<xref ref-type="bibr" rid="ref46">46</xref>,<xref ref-type="bibr" rid="ref47">47</xref>] that exacerbates poor patient-clinician communication, refusal of clinical recommendations, and medication nonadherence among Black patients [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]. For BSMM, the threat of being stereotypically high risk or sexually deviant could be an important, understudied phenomenon impacting HIV and PrEP initiation. Anticipated and internalized stigma and shame regarding self-monitoring sexual behaviors, discussing sexuality with professionals, and receiving an HIV diagnosis were salient. Additionally, practicing receptive anal sex, or being a bottom, can also carry specific shame and stigma among BSMM due to masculinity stereotypes [<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref50">50</xref>]. However, stereotype threat decreases with race-concordant clinicians [<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref51">51</xref>]. Therefore, a PCA must be a trained professional with substantial sexual health literacy who understands the issues concerning internalized stigma, shame, and stereotype threat and can help BSMM navigate their perceived HIV risk to make decisions about PrEP. A culturally responsive PCA could circumvent some of the multilevel barriers to perceived HIV risk and PrEP initiation among young BSMM with cultural familiarity, acceptable language, explanation of privacy protocols, and personal disclosures to build trust [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref43">43</xref>].</p>
        <p>Findings regarding perceived susceptibility and severity of HIV among BSMM expanded our perspectives regarding the intervention framework. Based upon findings that BSMM had low perceived HIV risk, internalized stigma and shame regarding sexual risk behaviors, and preferences for a culturally congruent PCA, we incorporated possible selves theory [<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref53">53</xref>] along with LCT and HBM to refine the intervention strategy. Possible selves represent individuals’ ideas of what they could and want to become in addition to what they are afraid of becoming and can incentivize future behavior [<xref ref-type="bibr" rid="ref53">53</xref>,<xref ref-type="bibr" rid="ref54">54</xref>]. Therefore, an intervention using a PCA should consider how congruent with and relatable the peer is with a future self for HIV-negative BSMM beyond race and sexuality concordance [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref43">43</xref>]. Factors such as cultural familiarity, professionalism, open-mindedness, sexual health literacy, and PrEP use could be key additional PCA characteristics that build trust, mitigate stereotype threat, and increase willingness to initiate PrEP among BSMM [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>].</p>
        <p>Future research should explore the relative impact of implementing this multicomponent strategy on perceived HIV risk and PrEP initiation among BSMM. Since a sexual health diary app could trigger internalized stigma and clinical research teams are not culturally congruent with BSMM, future research should implement interventions led by culturally congruent investigators familiar with these psychosocial barriers among this population. Future research could explore the potential impact of the dual role of an investigator or clinician as a PCA. Having PrEP clinical trials led by BSMM researchers and clinicians could be an important yet understudied structural, social, and psychological factor in HIV prevention among BSMM.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>Limitations should be considered. This study included a convenience sample and is not representative of HIV-negative BSMM. HIV status was self-reported. Groups were intentionally conducted with a small number of participants to increase rapport, trust, and privacy and to ensure that everyone could respond to every question if desired [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Information regarding implications of the intervention regarding on-demand and injectable PrEP was limited.</p>
      </sec>
      <sec>
        <title>Conclusion</title>
        <p>Qualitative studies are crucial to designing culturally relevant interventions for BSMM because they identify how socioecological factors such as stigma impact HIV risk for this group [<xref ref-type="bibr" rid="ref55">55</xref>]. Despite the proliferation of smartphone apps for health promotion and HIV prevention [<xref ref-type="bibr" rid="ref56">56</xref>], we found that using PrEPme to record and review sexual risk behaviors may not be as innocuous as anticipated. Therefore, we plan to train the PCA to anticipate stereotype threat and manage insider-outsider dynamics to demonstrate relatability, trustworthiness, care, and professionalism. In the refined intervention, we plan to encourage participants to use the diary in PrEPme and ensure that the PCA is a nonjudgmental possible self who can help BSMM navigate feelings of stigma, shame, low perceived HIV risk, and PrEP hesitancy as participants reflect on their behaviors. Since providing objective HIV risk scores alone does not increase PrEP uptake among BSMM [<xref ref-type="bibr" rid="ref7">7</xref>], the PCA will be trained in motivational interviewing to partner with BSMM to explore their health goals, perceived HIV risk, and relative interest in PrEP given their responses to the diary in PrEPme. We named the refined intervention strategy <italic>Possible</italic> based upon findings from this study.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Focus group guide.</p>
        <media xlink:href="formative_v6i8e34181_app1.docx" xlink:title="DOCX File , 31 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">BSMM</term>
          <def>
            <p>Black sexual minority men</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">HBM</term>
          <def>
            <p>health belief model</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">LCT</term>
          <def>
            <p>life course theory</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">NIH</term>
          <def>
            <p>National Institutes of Health</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">PCA</term>
          <def>
            <p>peer change agent</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">PrEP</term>
          <def>
            <p>preexposure prophylaxis</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>This research was supported by grant K01MH11849 from the National Institute of Mental Health (principal investigator: DD). This research has been facilitated by the infrastructure and resources provided by grant 1P30AI094189 from the Johns Hopkins University Center for AIDS Research, a National Institutes of Health (NIH)-funded program, which is supported by the following NIH Cofunding and Participating Institutes and Centers: National Institute of Allergy and Infectious Diseases; National Cancer Institute; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; National Institute on Drug Abuse; National Institute on Aging; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; and National Institute on Minority Health and Health Disparities. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. PrEPme was developed with funding from several sources including the Johns Hopkins School of Nursing Research Education Advocacy Community Health Initiative, Gilead Science Unrestricted Educational Grant, and Baltimore City Health Department.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data set generated and analyzed during this study is not publicly available to protect participant confidentiality but is available from the corresponding author on reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="conflict">
        <p>JEF holds the technology transfer license with Johns Hopkins University for PrEPme. The app was developed in collaboration with Emocha Mobile Health, Inc.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
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