Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34181, first published .
Refining a Multicomponent Intervention to Increase Perceived HIV Risk and PrEP Initiation: Focus Group Study Among Black Sexual Minority Men

Refining a Multicomponent Intervention to Increase Perceived HIV Risk and PrEP Initiation: Focus Group Study Among Black Sexual Minority Men

Refining a Multicomponent Intervention to Increase Perceived HIV Risk and PrEP Initiation: Focus Group Study Among Black Sexual Minority Men

Original Paper

1Johns Hopkins School of Nursing, Baltimore, MD, United States

2Us Helping Us, People Into Living, Inc, Washington, DC, United States

3University of Tennessee Health Science Center, Memphis, TN, United States

4Johns Hopkins School of Medicine, Baltimore, MD, United States

5Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States

6Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

*all authors contributed equally

Corresponding Author:

Derek T Dangerfield II, PhD

Johns Hopkins School of Nursing

525 N Wolfe St

Baltimore, MD, 21205

United States

Phone: 1 410 955 3757

Email: ddanger2@gwu.edu


Background: 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.

Objective: 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.

Methods: 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.

Results: 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.”

Conclusions: 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.

JMIR Form Res 2022;6(8):e34181

doi:10.2196/34181

Keywords



The United States will not reach its plan to end the HIV epidemic unless HIV incidence among Black sexual minority men (BSMM) substantially decreases [1,2]. 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 [1,3]. Approximately 75% of BSMM newly diagnosed with HIV are under the age of 35 years [1]. Preexposure prophylaxis (PrEP) use, however, remains substantially lower for BSMM than for other racial/ethnic groups of gay and bisexual men [4,5]. Increased PrEP initiation is urgently needed to substantially decrease HIV incidence for this group [2,6]. To achieve the US plan to end the HIV epidemic, incidence among BSMM must substantially decrease [1,2]. 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 [1,3]. Approximately 75% of BSMM newly diagnosed with HIV are under the age of 35 years [1]. Increased PrEP initiation is urgently needed to substantially decrease HIV incidence for this group [6].

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 [7-11]. 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 [12,13]. 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 [14,15]. 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 [16,17]. Since multilevel factors affect sexual behaviors, perceived HIV risk, and PrEP initiation among BSMM, interventions that address these barriers are needed.

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 [18-21]. Other interventions use apps as electronic diaries because self-monitoring risk behaviors facilitates reflection and reactivity to reduce risks [22-26]. 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.

We designed a multicomponent intervention that consists of an existing smartphone app called PrEPme [18] 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 [18]. PrEPme also allows users to self-monitor sexual risk behaviors, view a graph of sexual risk behaviors by week and month (Figure 1), and chat with the in-app community health worker to obtain PrEP service information [18]. 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 [14,27]. 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.

Figure 1. PrEPme smartphone app dashboard.
View this figure

Guided by life course theory (LCT) [28-30] and the health belief model (HBM) [31,32], 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 [28-30,33]. The HBM posits that perceived disease susceptibility can lead to increased engagement in healthy behaviors [32,34]. 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 [14,35-37]. 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.


Ethics Approval

All study procedures were approved by Johns Hopkins School of Medicine institutional review board (IRB00211578).

Recruitment and Study Sample

Data were obtained from 12 focus groups and 1 in-depth interview among BSMM from Baltimore, MD, between October 2019 and May 2020 [38]. 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 [35,37]. 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.

Study Procedures

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 [35]. 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 [35,37]. 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 [14,38]. 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 [35,37]. 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 [35].

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 [35,39,40]. 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 [41], 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 [6]. 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 [35].

Data Analysis

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 (Multimedia Appendix 1). 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 [15,40,42]. 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 [40,43]. Between-group analysis was conducted to identify potential thematic differences by age.


Demographic Characteristics and Descriptive Data

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 (Table 1). 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.

Focus groups yielded important themes regarding perceived HIV risk and attitudes toward the proposed multicomponent intervention.

Table 1. Demographic and behavioral characteristics among Black sexual minority men (n=38).
VariableValue
Sexual orientation, n (%)

Heterosexual or straight2 (5)

Homosexual, gay, or same gender-loving26 (68)

Bisexual5 (13)

Pansexual2 (5)

Not sure or questioning1 (3)
Highest level of education completed, n (%)

Grade 11 or less2 (5)

Grade 12 or GED equivalent16 (42)

Some college6 (16)

Associate degree3 (8)

Bachelor’s degree5 (13)

Some graduate work2 (5)

Graduate degree4 (10)
Employment status, n (%)

Full-time22 (58)

Part-time4 (10)

Unemployed9 (24)

Other3 (8)
Relationship status, n (%)

Single25 (66)

In a committed relationship8 (21)

In an open relationship4 (10)

Married to a man1 (3)
Ever diagnosed with STIa, n (%)13 (34)

Repeated STIs5 (38)
Last HIV testb, n (%)

Never1 (3)

Less than 1 month ago17 (45)

1-3 months ago12 (32)

3 months ago or longer6 (16)
App interest, n (%)

Yes26 (68)

No6 (16)

Don’t know6 (16)
Ever used PrEPc (yes), n (%)19 (50)

Current PrEP use (among ever users)12 (63)
PrEP telehealth interest, n (%)

Yes16 (42)

No15 (39)

Don’t know7 (18)
PrEP injectable interest, n (%)

Yes22 (58)

No13 (34)

Don’t know3 (8)
Interest in doxycycline for syphilis PrEP, n (%)

Yes20 (53)

No10 (26)

Don’t know8 (21)
HIRI-MSMd score, mean (SD)16.2 (5.8)
Perceived risk of HIV score, mean (SD)22.4 (5.3)

aSTI: sexually transmitted disease.

bOne participant who completed the survey did not provide information regarding their last HIV test.

cPrEP: preexposure prophylaxis.

dHIRI-MSM: HIV Incidence Risk Index for Men Who Have Sex With Men.

Low HIV Risk Perceptions While Perceiving Others as Risky

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.

Self-monitoring Sexual Behaviors Triggers Internalized Stigma and Shame

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 Textbox 1).

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.

Group aged 18 to 24 years (December 14, 2019).

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,—“

S3: 42:42 “You’re being a ‘THOT’”

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.”

Textbox 1. Group aged 18 to 24 years (December 14, 2019).

Concerns Regarding Privacy From App Developers and In-App Community Health Workers

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.

The PCA as a Future Self

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 Textbox 2).

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.

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.

Group aged 35 years and older (February 1, 2020).

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—”

S6: 35:59 “Yeah.”

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.”

S2: 36:24 “Yeah.”

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.”

S2: 37:19 “Yeah, you right because it took me a long time to open up to my doctor, she’s white.”

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.’”

Textbox 2. Group aged 35 years and older (February 1, 2020).

Sharing App Data With PCA to Avoid Negative Patient-Clinician Communications

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 Textbox 3).

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.

Group aged 25 to 34 years (May 5, 2020).

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.”

S3: 37:57 “And someone who looks like me.”

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, receptive, you know what I mean? Versus the peer is saying to me, bottom, 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.”

Textbox 3. Group aged 25 to 34 years (May 5, 2020).

Principal Findings

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 [14,44]. Novel insights regarding stigma and shame also emerged that informed considerations for intervention refinement.

BSMM held dissonant attitudes between their sexual behaviors and HIV risk, perceiving their risk as low. Other studies among BSMM have found similar results [17,45]. 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 [46,47] that exacerbates poor patient-clinician communication, refusal of clinical recommendations, and medication nonadherence among Black patients [47,48]. 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 [49,50]. However, stereotype threat decreases with race-concordant clinicians [43,51]. 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 [35,43].

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 [52,53] 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 [53,54]. 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 [14,35,43]. 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 [35,37].

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.

Limitations

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 [35,37]. Information regarding implications of the intervention regarding on-demand and injectable PrEP was limited.

Conclusion

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 [55]. Despite the proliferation of smartphone apps for health promotion and HIV prevention [56], 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 [7], 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 Possible based upon findings from this study.

Acknowledgments

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.

Data Availability

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.

Conflicts of Interest

JEF holds the technology transfer license with Johns Hopkins University for PrEPme. The app was developed in collaboration with Emocha Mobile Health, Inc.

Multimedia Appendix 1

Focus group guide.

DOCX File , 31 KB

  1. HIV and African American gay and bisexual men. Atlanta: Centers for Disease Control and Prevention; 2020 Feb 04.   URL: https://www.cdc.gov/hiv/group/msm/bmsm.html [accessed 2020-02-18]
  2. Ending the HIV epidemic: a plan for America. Office of Infectious Disease and HIV/AIDS Policy. 2020 Feb.   URL: https://hivgov-prod-v3.s3.amazonaws.com/s3fs-public/Ending-the-HIV-Epidemic-Snpashot-2019-2020.pdf [accessed 2022-07-15]
  3. HIV and men. Atlanta: Centers for Disease Control and Prevention; 2016.   URL: http://www.cdc.gov/hiv/group/gender/men/index.html [accessed 2020-07-09]
  4. Finlayson T, Cha S, Xia M, Trujillo L, Denson D, Prejean J, National HIV Behavioral Surveillance Study Group. Changes in HIV preexposure prophylaxis awareness and use among men who have sex with men—20 urban areas, 2014 and 2017. MMWR Morb Mortal Wkly Rep 2019 Jul 12;68(27):597-603 [FREE Full text] [CrossRef] [Medline]
  5. Sullivan PS, Sanchez TH, Zlotorzynska M, Chandler CJ, Sineath RC, Kahle E, et al. National trends in HIV pre-exposure prophylaxis awareness, willingness and use among United States men who have sex with men recruited online, 2013 through 2017. J Int AIDS Soc 2020 Mar;23(3):e25461 [FREE Full text] [CrossRef] [Medline]
  6. Hess KL, Hu X, Lansky A, Mermin J, Hall HI. Lifetime risk of a diagnosis of HIV infection in the United States. Ann Epidemiol 2017 Apr;27(4):238-243 [FREE Full text] [CrossRef] [Medline]
  7. Blumenthal J, Jain S, Mulvihill E, Sun S, Hanashiro M, Ellorin E, et al. Perceived versus calculated HIV risk: implications for pre-exposure prophylaxis uptake in a randomized trial of men who have sex with men. J Acquir Immune Defic Syndr 2019 Feb 01;80(2):e23-e29 [FREE Full text] [CrossRef] [Medline]
  8. Cahill S, Taylor SW, Elsesser SA, Mena L, Hickson D, Mayer KH. Stigma, medical mistrust, and perceived racism may affect PrEP awareness and uptake in black compared to white gay and bisexual men in Jackson, Mississippi and Boston, Massachusetts. AIDS Care 2017 Nov;29(11):1351-1358 [FREE Full text] [CrossRef] [Medline]
  9. Ezennia O, Geter A, Smith DK. The PrEP care continuum and black men who have sex with men: a scoping review of published data on awareness, uptake, adherence, and retention in PrEP care. AIDS Behav 2019 Oct;23(10):2654-2673. [CrossRef] [Medline]
  10. Lelutiu-Weinberger C, Golub SA. Enhancing PrEP access for Black and Latino men who have sex with men. J Acquir Immune Defic Syndr 2016 Dec 15;73(5):547-555 [FREE Full text] [CrossRef] [Medline]
  11. Oostrom L, Rosentel K, Motley D, Hill BJ. Discordance in objective and self-perceived HIV risk: a potential barrier to pre-exposure prophylaxis in young gay and bisexual men. J Assoc Nurses AIDS Care 2020;31(1):103-109 [FREE Full text] [CrossRef] [Medline]
  12. Gallagher T, Link L, Ramos M, Bottger E, Aberg J, Daskalakis D. Self-perception of HIV risk and candidacy for pre-exposure prophylaxis among men who have sex with men testing for HIV at commercial sex venues in New York City. LGBT Health 2014 Sep;1(3):218-224. [CrossRef] [Medline]
  13. Mutchler MG, McDavitt B, Ghani MA, Nogg K, Winder TJ, Soto JK. Getting PrEPared for HIV prevention navigation: young black gay men talk about HIV prevention in the biomedical era. AIDS Patient Care STDS 2015 Sep;29(9):490-502 [FREE Full text] [CrossRef] [Medline]
  14. Dangerfield II DT, Harawa NT, McWells C, Hilliard C, Bluthenthal RN. Exploring the preferences of a culturally congruent, peer-based HIV prevention intervention for black men who have sex with men. Sex Health 2018 Nov;15(5):424-430 [FREE Full text] [CrossRef] [Medline]
  15. Ober AJ, Dangerfield II DT, Shoptaw S, Ryan G, Stucky B, Friedman SR. Using a "positive deviance" framework to discover adaptive risk reduction behaviors among high-risk HIV negative black men who have sex with men. AIDS Behav 2018 May 13;22(5):1699-1712 [FREE Full text] [CrossRef] [Medline]
  16. Hoots BE, Finlayson T, Nerlander L, Paz-Bailey G, National HIV Behavioral Surveillance Study Group. Willingness to take, use of, and indications for pre-exposure prophylaxis among men who have sex with men—20 US cities, 2014. Clin Infect Dis 2016 Sep 01;63(5):672-677 [FREE Full text] [CrossRef] [Medline]
  17. Kesler MA, Kaul R, Myers T, Liu J, Loutfy M, Remis RS, et al. Perceived HIV risk, actual sexual HIV risk and willingness to take pre-exposure prophylaxis among men who have sex with men in Toronto, Canada. AIDS Care 2016 Nov 03;28(11):1378-1385. [CrossRef] [Medline]
  18. Farley JE, Dangerfield II DT, LaRicci J, Sacamano P, Heidari O, Lowensen K, et al. Community engagement and linkage to care efforts by peer community-health workers to increase PrEP uptake among sexual minority men. Public Health Nurs 2021 Sep 22;38(5):818-824 [FREE Full text] [CrossRef] [Medline]
  19. Harawa NT, Schrode KM, McWells C, Weiss RE, Hilliard CL, Bluthenthal RN. Small randomized controlled trial of the new passport to wellness HIV prevention intervention for black men who have sex with men (BMSM). AIDS Educ Prev 2020 Aug;32(4):311-324 [FREE Full text] [CrossRef] [Medline]
  20. Young LE, Schumm P, Alon L, Bouris A, Ferreira M, Hill B, et al. PrEP Chicago: a randomized controlled peer change agent intervention to promote the adoption of pre-exposure prophylaxis for HIV prevention among young Black men who have sex with men. Clin Trials 2018 Feb;15(1):44-52 [FREE Full text] [CrossRef] [Medline]
  21. Schneider JA, Zhou AN, Laumann EO. A new HIV prevention network approach: sociometric peer change agent selection. Soc Sci Med 2015 Jan;125:192-202. [CrossRef] [Medline]
  22. Cherenack EM, Wilson PA, Kreuzman AM, Price GN, Adolescent Medicine Trials Network for HIV/AIDS Interventions. The feasibility and acceptability of using technology-based daily diaries with HIV-infected young men who have sex with men: a comparison of internet and voice modalities. AIDS Behav 2016 Aug 2;20(8):1744-1753 [FREE Full text] [CrossRef] [Medline]
  23. Glick SN, Winer RL, Golden MR. Web-based sex diaries and young adult men who have sex with men: assessing feasibility, reactivity, and data agreement. Arch Sex Behav 2013 Oct 28;42(7):1327-1335 [FREE Full text] [CrossRef] [Medline]
  24. Hensel DJ, Fortenberry JD, Harezlak J, Craig D. The feasibility of cell phone based electronic diaries for STI/HIV research. BMC Med Res Methodol 2012 Jun 12;12(1):75 [FREE Full text] [CrossRef] [Medline]
  25. Newcomb ME, Mustanski B. Diaries for observation or intervention of health behaviors: factors that predict reactivity in a sexual diary study of men who have sex with men. Ann Behav Med 2014 Jun 1;47(3):325-334 [FREE Full text] [CrossRef] [Medline]
  26. Stalgaitis C, Glick SN. The use of web-based diaries in sexual risk behaviour research: a systematic review. Sex Transm Infect 2014 Aug 10;90(5):374-381 [FREE Full text] [CrossRef] [Medline]
  27. Moitra E, van den Berg JJ, Sowemimo-Coker G, Chau S, Nunn A, Chan PA. Open pilot trial of a brief motivational interviewing-based HIV pre-exposure prophylaxis intervention for men who have sex with men: preliminary effects, and evidence of feasibility and acceptability. AIDS Care 2020 Mar 25;32(3):406-410 [FREE Full text] [CrossRef] [Medline]
  28. Elder GH. The life course as developmental theory. Child Dev 1998 Feb;69(1):1. [CrossRef]
  29. Dangerfield II DT, Smith LR, Anderson JN, Bruce OJ, Farley J, Bluthenthal R. Sexual positioning practices and sexual risk among black gay and bisexual men: a life course perspective. AIDS Behav 2018 Jun 27;22(6):1919-1931 [FREE Full text] [CrossRef] [Medline]
  30. Jones NL, Gilman SE, Cheng TL, Drury SS, Hill CV, Geronimus AT. Life course approaches to the causes of health disparities. Am J Public Health 2019 Jan;109(S1):S48-S55. [CrossRef]
  31. Felsher M, Szep Z, Krakower D, Martinez-Donate A, Tran N, Roth AM. "I don't need PrEP right now": a qualitative exploration of the barriers to PrEP care engagement through the application of the health belief model. AIDS Educ Prev 2018 Oct;30(5):369-381 [FREE Full text] [CrossRef] [Medline]
  32. Rosenstock IM. The health belief model and preventive health behavior. Health Educ Mono 1974 Dec 01;2(4):354-386. [CrossRef]
  33. Elder GH. Time, human agency, and social change: perspectives on the life course. Soc Psychol Q 1994 Mar;57(1):4-15. [CrossRef]
  34. Rosenstock IM. Historical origins of the health belief model. Health Educ Mono 1974 Dec 01;2(4):328-335. [CrossRef]
  35. Dangerfield II DT, Wylie C, Anderson JN. Conducting virtual, synchronous focus groups among Black sexual minority men: qualitative study. JMIR Public Health Surveill 2021 Feb 08;7(2):e22980 [FREE Full text] [CrossRef] [Medline]
  36. Davidson P, Halcomb E, Gholizadeh L. Focus groups in health research. In: Liamputtong P, editor. Research Methods in Health: Foundations for Evidence-Based Practice. South Melbourne: Oxford University Press; 2013:61-76.
  37. White JJ, Dangerfield DT, Grieb SM. Methodological considerations for conducting focus groups in HIV prevention research among Black men who have sex with men. Public Health Nurs 2019 May 13;36(3):439-445 [FREE Full text] [CrossRef] [Medline]
  38. Dangerfield II DT, Lipson A, Anderson JN. HIV PrEP clinician communication preferences among Black sexual minority men. AIDS Educ Prev 2022 Apr;34(2):168-181. [CrossRef] [Medline]
  39. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care 2007 Dec;19(6):349-357 [FREE Full text] [CrossRef] [Medline]
  40. Dangerfield II DT, Heidari O, Cooper J, Allen S, Lucas GM. Motivations for opioid and stimulant use among drug using black sexual minority men: a life course perspective. Drug Alcohol Depend 2020 Oct 01;215:108224 [FREE Full text] [CrossRef] [Medline]
  41. Napper LE, Fisher DG, Reynolds GL. Development of the perceived risk of HIV scale. AIDS Behav 2012 May;16(4):1075-1083 [FREE Full text] [CrossRef] [Medline]
  42. Ryan GW, Bernard HR. Techniques to identify themes. Field Methods 2016 Jul 24;15(1):85-109. [CrossRef]
  43. Dangerfield II DT, Cooper J, Heidari O, Allen S, Winder TJ, Lucas GM. Nursing and health care preferences among opioid and stimulant using black sexual minority men: an exploratory study. J Assoc Nurses AIDS Care 2021;32(5):e30-e39. [CrossRef] [Medline]
  44. Dangerfield II DT, Harawa NT, Fernandez MI, Hosek S, Lauby J, Joseph H, et al. J Sex Res. J Sex Res 10 Oct 29;55(8):1012-1021 [FREE Full text] [CrossRef] [Medline]
  45. Murray A, Gaul Z, Sutton MY, Nanin J. "We hide…": perceptions of HIV risk among Black and Latino MSM in New York City. Am J Mens Health 2018 Mar;12(2):180-188 [FREE Full text] [CrossRef] [Medline]
  46. Aronson J, Burgess D, Phelan SM, Juarez L. Unhealthy interactions: the role of stereotype threat in health disparities. Am J Public Health 2013 Jan;103(1):50-56 [FREE Full text] [CrossRef] [Medline]
  47. Steele CM, Aronson J. Stereotype threat and the intellectual test performance of African Americans. J Personality Soc Psychol 1995;69(5):797-811. [CrossRef]
  48. Burgess DJ, Warren J, Phelan S, Dovidio J, van Ryn M. Stereotype threat and health disparities: what medical educators and future physicians need to know. J Gen Intern Med 2010 May 30;25 Suppl 2(S2):S169-S177 [FREE Full text] [CrossRef] [Medline]
  49. Dangerfield II DT, Smith LR, Williams J, Unger J, Bluthenthal R. Sexual positioning among men who have sex with men: a narrative review. Arch Sex Behav 2017 May 13;46(4):869-884 [FREE Full text] [CrossRef] [Medline]
  50. Johns MM, Pingel E, Eisenberg A, Santana ML, Bauermeister J. Butch tops and femme bottoms? Sexual positioning, sexual decision making, and gender roles among young gay men. Am J Mens Health 2012 Nov 27;6(6):505-518 [FREE Full text] [CrossRef] [Medline]
  51. Cooper LA, Roter DL, Johnson RL, Ford DE, Steinwachs DM, Powe NR. Patient-centered communication, ratings of care, and concordance of patient and physician race. Ann Intern Med 2003 Dec 02;139(11):907-915. [CrossRef] [Medline]
  52. Bak W. Possible selves: implications for psychotherapy. Int J Ment Health Addict 2015 May 2;13(5):650-658 [FREE Full text] [CrossRef] [Medline]
  53. Markus H, Nurius P. Possible selves. Am Psychol 1986;41(9):954-969. [CrossRef]
  54. Oyserman D, Bybee D, Terry K, Hart-Johnson T. Possible selves as roadmaps. J Res Personality 2004 Apr;38(2):130-149. [CrossRef]
  55. Wilson PA, Valera P, Martos AJ, Wittlin NM, Muñoz-Laboy MA, Parker RG. Contributions of qualitative research in informing HIV/AIDS interventions targeting black MSM in the United States. J Sex Res 2016 Aug 04;53(6):642-654 [FREE Full text] [CrossRef] [Medline]
  56. Fields EL, Long A, Dangerfield II DT, Morgan A, Uzzi M, Arrington-Sanders R, et al. There's an app for that: using geosocial networking apps to access young Black gay, bisexual, and other MSM at Risk for HIV. Am J Health Promot 2020 Jan 30;34(1):42-51. [CrossRef] [Medline]


BSMM: Black sexual minority men
HBM: health belief model
LCT: life course theory
NIH: National Institutes of Health
PCA: peer change agent
PrEP: preexposure prophylaxis


Edited by T Leung; submitted 09.10.21; peer-reviewed by D Hickson, T Winder, C Lelutiu-Weinberger, A Khanna; comments to author 11.01.22; revised version received 28.04.22; accepted 08.07.22; published 10.08.22

Copyright

©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.

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