Abstract
Background:
Epidemiology research is limited on the characteristics of HIV pre-exposure prophylaxis (PrEP) using couples.
Setting:
United States nationwide sample recruited online in 2017.
Methods:
HIV-negative/unknown gay, bisexual, and other men who have sex with men (GBMSM) with HIV-negative/unknown partners (n=3140) were asked about individual and main partner PrEP uptake. Men were coded into five groups: 1) neither participant nor partner on PrEP, 2) partner only on PrEP, 3) participant only on PrEP, 4) both on PrEP, and 5) unknown partner PrEP use. We examined associations of demographics, relationship factors, condomless anal sex (CAS) with main and causal partners, bacterial sexually transmitted infection (BSTI) diagnoses, and sexual positioning with reported dyadic PrEP use using fully-adjusted multinomial logistic regressions.
Results:
PrEP use was 3.2% for the partner only, 5.7% for the participant only, and 4.9% for both participant and partner; 5.6% reported not knowing their partner’s PrEP use status. Men who reported any CAS with their main partner or any CAS with male casual partners were both more likely to be classified in the dyadic PrEP use group compared to the neither on PrEP group. Compared to monogamous, men in open arrangements were more likely to be classified in each of the three PrEP groups compared to the neither on PrEP group. Six-month BSTI prevalence was 2.8%, 8.1%, 8.3%, 15.6%, and 4.0% for the five groups, respectively.
Conclusions:
PrEP use occurred during times of higher risk behavior engagement, but further efforts are needed to expand PrEP use to more partnered GBMSM.
Keywords: HIV, pre-exposure prophylaxis, sexually transmitted infections, men who have sex with men, couples
INTRODUCTION
Despite decreasing HIV incidence nationally in the United States (US),1 HIV incidence continues to rise among gay, bisexual, and other men who have sex with men (GBMSM).2 Biomedical strategies to prevent HIV transmission have the potential to influence long-term trends in HIV diagnoses among GBMSM. HIV pre-exposure prophylaxis (PrEP) is highly effective in preventing HIV seroconversion3–13 and approved by the US Food and Drug Administration (USFDA) for daily oral use.14 PrEP is now recommended by the Centers for Disease Control and Prevention for many GBMSM15 including adolescent GBMSM.16 Nonetheless, PrEP uptake among GBMSM in the US remains limited,17–19 with fewer than 60,000 males (including men who have sex with women only) prescribed PrEP during the second quarter of 2017.20 Novel strategies are needed increase uptake among GBMSM.
GBMSM in relationships are an important group for biomedical HIV prevention because an estimated 35–68% of new HIV infections are transmitted through main partnerships.21,22 Examining relationship dynamics is important to contextualize factors associated with HIV risk among GBMSM in HIV-negative/unknown relationships. While PrEP use is an individual behavior (i.e., taking a daily or intermittent PrEP dose individually), its use by HIV-negative men in relationships has added benefits for an HIV-negative partner by reducing HIV transmission risk associated with the PrEP user’s sexual behavior—assuming adequate PrEP adherence. Seroconcordant HIV-negative couples have described the benefits of PrEP use within the relationship during dyadic interviews23 and couples HIV testing and counseling sessions,24 wherein men described PrEP as a mechanism to reduce HIV-related anxiety23,24 and provide HIV protection should the couple change their sexual agreement or a monogamous agreement is violated.24 HIV-negative GBMSM perceived PrEP use by their main partner to be important in prior research,25 but epidemiology research is limited on the characteristics of actual PrEP uptake among partnered GBMSM nationwide.
Some GBMSM are willing to convince their partner to go on PrEP,25 and many men who use PrEP have main partners on PrEP.26 However, no known published research has attempted to identify factors that differentiate concordance of biomedical prevention use among HIV-negative/unknown GBMSM. “Biomed matching” has been described by researchers as a method for GBMSM to choose sexual partners or behaviors based on biomedical HIV prevention (i.e., PrEP) and HIV treatment (i.e., treatment as prevention or undetectable = untransmittable).26,27 This is particularly important in the context of HIV disparities among subgroups of GBMSM and how biomed matching could decrease or exacerbate HIV-related disparities if, for instance, these prevention practices were more common in one group than another. Researchers are also concerned about the potential for risk compensation, decreases in condom use, and associated increases in bacterial sexually transmitted infections (BSTIs).11–13,28–33 As such, we sought to determine the concordance of PrEP use among partnered GBMSM and characteristics of GBMSM who integrate PrEP within their relationship to inform HIV prevention priorities, implications for individual and couples HIV testing and counseling, and BSTI prevention in the US.
METHODS
Recruitment and Eligibility
GBMSM were recruited online to participate in a 10–15 minute survey between May 2017 and June 2017 using a popular geotargeted sexual networking app and social media.34,35 To be eligible, individuals needed to be 18+ years old, reside in the US, report same-sex sexual activity in the past year, and identify as cisgender or transgender male. Potential duplicate responses were identified by corresponding birth month and year, zip code, HIV status, and race/ethnicity; these cases were further screened by examining other demographic variables and meta-data (e.g., device and browser information) before removal consideration, as recommended previously.36 For this paper, eligibility was limited to individuals who completed the survey long enough to complete the measures used in this analysis, self-reported an HIV-negative or unknown status, and reported having an HIV-negative or unknown main sexual partner. We excluded individuals with an HIV-positive main partner because our research question centered on dyadic PrEP use (as reported from the index partner who completed the survey). All procedures were approved by the Institutional Review Board of the City University of New York.
Measures
Demographics.
Individuals self-reported demographic information, including age, sexual orientation identity, gender, race/ethnicity, highest educational attainment, and geographical region of residence determined from postal codes.
Partner and relationship characteristics.
We asked each participant to report their main partner’s HIV-status and gender, as well as relationship duration with this partner. Relationship agreement with individuals’ main partners was assessed by self-reported relationship arrangement and behavioral characteristics. In response to our question asking how couples’ handle sex outside of their relationship, we coded individuals as being in a monogamous relationship if they reported “neither of us has sex with others, we are monogamous.” Men were coded as being in a monogamish relationship arrangement if they responded “both of us have sex with others together” or reported a monogamous arrangement but indicated sex together with an outside partner in the past 3 months, which has been described as an exclusive play-together arrangement in prior literature.25,37 Men were coded as being in an open relationship if they reported allowing external sexual partners in any form other than an exclusive play-together arrangement. Finally, men were coded as having no relationship agreement if they reported not knowing their partner’s behavior (“I don’t have sex with others, but I don’t know about my partner” or “I have sex with others, but don’t know about my partner”).
Sexual HIV/STI transmission risk behavior.
Participants were asked about behaviors indicating engagement in sexual HIV/BSTI transmission risk behavior. Specifically, individuals were asked to report their HIV-status, engagement in condomless anal sex (CAS) with their main partner in the past 6 months, engagement in CAS with male casual sex partners in the past 6 months, and any BSTI diagnoses (chlamydia, gonorrhea, or syphilis) in the past 6 months, all of which were dichotomized (yes/no) for data analysis. We also asked about sexual positioning with self-identified classifications of top, versatile (including versatile/top and versatile/bottom response categories), and bottom.
PrEP use among individuals and their partners.
We asked participants to report the PrEP use for themselves and their main partner. Individual PrEP use was assessed with the following question: Have you ever been prescribed HIV medications (e.g., Truvada) for use as PrEP (HIV pre-exposure prophylaxis)? Individuals who responded “Yes, I am currently prescribed PrEP” were considered to be currently taking PrEP.17 Main partner PrEP use was assessed with the following question: Is your main partner currently taking PrEP? Response categories included “Yes,” “No,” and “I don’t know,” and those who responded “Yes” were coded as their main partner being on PrEP. Men were coded into five groups based on PrEP use among the participant and their partner: 1) neither participant nor partner on PrEP, 2) partner only on PrEP, 3) participant only on PrEP, 4) both on PrEP, and 5) unknown partner PrEP use regardless of self-PrEP use.
Statistical Analyses
Descriptive statistics were used to characterize the sample. Bivariate associations with our categorical outcome of dyadic PrEP use were conducted using Fisher’s Exact tests, chi-squared comparisons, and one-way analysis of variance. Multinomial logistic regression with a robust estimator was used for our fully-adjusted models with base referent categories of neither participant nor partner on PrEP for Model 1 and participant on PrEP as the referent for Model 2.
RESULTS
Our online recruitment methods resulted in 14,489 GBMSM who started our survey. Of those who started the survey, 12,853 completed the survey long enough to encompass the measures used for this analysis. After excluding GBMSM living with HIV (n = 2,107) and those who didn’t report a main partner (n = 7,308), the analytic sample was further reduced to 3,438 participants. Finally, we excluded another 298 participants who reported having an HIV-positive main partner, resulting in a final analytic sample of 3,140 HIV-negative or unknown status GBMSM with HIV-negative or unknown status main partners.
The sample was geographically diverse by US region. Nearly all (97.2%) described themselves as cisgender male, a majority (78.8%) of participants reported gay/queer sexual orientation identity, 41.3% self-reported a non-White race/ethnicity, and average age was 32.5 years old. Relationship agreements varied in the sample, with 42.6% reporting mutual monogamy, 36.8% an open arrangement, 9.6% a monogamish arrangement, and 11.1% with no agreement. PrEP use was reported as 5.7% for the participant only, 3.2% for the partner only, and 4.9% for both participant and partner; another 5.6% (n = 177) reported not knowing their partner’s PrEP use status, 16 (9.0%) of whom were current PrEP users. In total, current PrEP use was reported by 11.2% (n = 350) of participants. Recent bacterial STI diagnoses in the past 6 months were reported by 4.0%. Most (92.5%) reported having an HIV-negative status, and 9.7% reported not knowing their partner’s HIV-status. See Table 1 for full sample details.
Table 1.
Demographics, relationship characteristics, and sexual behavior and their bivariate associations with concordant use of pre-exposure prophylaxis (PrEP; n = 3140)
| Neither Participant nor Partner on PrEP (n= 2530) | Partner on PrEP Only (n = 99) | Participant on PrEP Only (n = 180) | Both Participant and Partner on PrEP (n = 154) | Unknown Partner PrEP Use (n = 177) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Categorical Variables | n | Col.% | n | Row % | n | Row % | n | Row % | n | Row % | n | Row % | χ2 statistic / Fisher’s Exact (FE) p-value |
| Sexual orientation identity | FE p-values: | ||||||||||||
| Gay or queer (A) | 2474 | 78.8 | 1970 | 79.6 | 75 | 3.0 | 158 | 6.4 | 144 | 5.8 | 127 | 5.1 | A vs B < 0.001 |
| Bisexual (B) | 611 | 19.5 | 512 | 83.8 | 23 | 3.8 | 21 | 3.4 | 10 | 1.6 | 45 | 7.4 | A vs C = 0.099 |
| Straight/other (C) | 55 | 1.8 | 48 | 87.3 | 1 | 1.8 | 1 | 1.8 | 0 | 0.0 | 5 | 9.1 | B vs C = 0.901 |
| Gender | FE p = 0.544 | ||||||||||||
| Cisgender male | 3052 | 97.2 | 2456 | 80.5 | 98 | 3.2 | 176 | 5.8 | 152 | 5.0 | 170 | 5.6 | |
| Transgender male | 88 | 2.8 | 74 | 84.1 | 1 | 1.1 | 4 | 4.6 | 2 | 2.3 | 7 | 8.0 | |
| Main partner gender1 | FE p-values: | ||||||||||||
| A vs B < 0.001 | |||||||||||||
| A vs C = 0.834 | |||||||||||||
| Cisgender male (A) | 2845 | 90.6 | 2268 | 79.7 | 96 | 3.4 | 169 | 5.9 | 152 | 5.3 | 160 | 5.6 | A vs D = 0.083 |
| Cisgender female (B) | 232 | 7.4 | 211 | 91.0 | 1 | 0.4 | 10 | 4.3 | 0 | 0.0 | 10 | 4.3 | B vs C = 0.103 |
| Transgender male (C) | 43 | 1.4 | 37 | 86.1 | 1 | 2.3 | 1 | 2.3 | 1 | 2.3 | 3 | 7.0 | B vs D = 0.001 |
| Transgender female (D) | 20 | 0.6 | 14 | 70.0 | 1 | 5.0 | 0 | 0.0 | 1 | 5.0 | 4 | 20.0 | C vs D = 0.309 |
| Race/ethnicity | Χ2 = 53.0*** | ||||||||||||
| Black | 193 | 6.2 | 141 | 70.1 | 14 | 7.3 | 7 | 3.6 | 12 | 6.2 | 19 | 9.8 | |
| Latino | 660 | 21.0 | 521 | 78.9 | 12 | 1.8 | 41 | 6.2 | 31 | 4.7 | 55 | 8.3 | |
| White | 1845 | 58.8 | 1531 | 83.0 | 58 | 3.1 | 104 | 5.6 | 83 | 4.5 | 69 | 3.7 | |
| Other/multiracial | 442 | 14.1 | 337 | 76.2 | 15 | 3.4 | 28 | 6.3 | 28 | 6.3 | 34 | 7.7 | |
| Education | χ2 = 79.2*** | ||||||||||||
| Less than Bachelor’s degree | 2008 | 64.0 | 1665 | 82.9 | 61 | 3.0 | 80 | 4.0 | 65 | 3.2 | 137 | 6.8 | |
| Bachelor’s degree or higher | 1132 | 36.1 | 865 | 76.4 | 38 | 3.4 | 100 | 8.8 | 89 | 7.9 | 40 | 3.5 | |
| Region | χ2 (A, B, C, D) = 33.8** | ||||||||||||
| Northeast (A) | 617 | 19.7 | 473 | 76.7 | 19 | 3.1 | 47 | 7.6 | 44 | 7.1 | 34 | 5.5 | |
| Midwest (B) | 625 | 19.9 | 514 | 82.2 | 19 | 3.0 | 29 | 4.6 | 31 | 5.0 | 32 | 5.1 | |
| South (C) | 1036 | 33.0 | 871 | 84.1 | 32 | 3.1 | 37 | 3.6 | 39 | 3.8 | 57 | 5.5 | |
| West (D) | 838 | 26.7 | 655 | 78.2 | 29 | 4.5 | 65 | 7.8 | 37 | 4.4 | 52 | 6.2 | |
| Other (e.g., US possession, military overseas) (E) | 24 | 0.8 | 17 | 70.8 | 0 | 0.0 | 2 | 8.3 | 3 | 12.5 | 2 | 8.3 | |
| Relationship agreement with main partner | χ2 = 277.8*** | ||||||||||||
| Monogamous | 1338 | 42.6 | 1184 | 88.5 | 29 | 2.2 | 27 | 2.0 | 22 | 1.6 | 76 | 5.7 | |
| Monogamish | 301 | 9.6 | 260 | 86.4 | 6 | 2.0 | 13 | 4.3 | 16 | 5.3 | 6 | 2.0 | |
| Open | 1154 | 36.8 | 841 | 72.9 | 52 | 4.5 | 115 | 10.0 | 108 | 9.4 | 38 | 3.3 | |
| No agreement | 347 | 11.1 | 245 | 70.6 | 12 | 3.5 | 25 | 7.2 | 8 | 2.3 | 57 | 16.4 | |
| Relationship duration with main partner | χ2 = 177.5*** | ||||||||||||
| Less than 1 year | 868 | 27.6 | 607 | 69.9 | 52 | 6.0 | 51 | 5.9 | 45 | 5.2 | 113 | 13.0 | |
| 1–5 years | 1332 | 42.4 | 1143 | 85.8 | 28 | 2.1 | 72 | 5.4 | 46 | 3.5 | 43 | 3.2 | |
| More than 5 years | 940 | 29.9 | 780 | 83.0 | 19 | 2.0 | 57 | 6.1 | 63 | 6.7 | 21 | 2.2 | |
| Any condomless anal sex with main partner (past 6 months) | χ2 = 54.0*** | ||||||||||||
| No | 1032 | 32.9 | 835 | 80.9 | 26 | 2.5 | 56 | 5.4 | 23 | 2.2 | 92 | 8.9 | |
| Yes | 2108 | 67.1 | 1695 | 80.4 | 73 | 3.5 | 124 | 5.9 | 131 | 6.2 | 85 | 4.0 | |
| Any condomless anal sex with male casual sex partners (past 6 months) | χ2 = 157.6*** | ||||||||||||
| No | 1782 | 56.8 | 1559 | 87.5 | 47 | 2.6 | 45 | 2.5 | 43 | 2.4 | 88 | 4.9 | |
| Yes | 1358 | 43.3 | 971 | 71.5 | 52 | 3.8 | 135 | 9.9 | 111 | 8.2 | 89 | 6.6 | |
| Sexual position identity | χ2 = 13.7 | ||||||||||||
| Top | 509 | 16.2 | 418 | 82.1 | 15 | 3.0 | 27 | 5.3 | 31 | 6.1 | 18 | 3.5 | |
| Versatile | 2185 | 69.6 | 1753 | 80.2 | 73 | 3.3 | 118 | 5.4 | 108 | 4.9 | 133 | 6.1 | |
| Bottom | 446 | 14.2 | 359 | 80.5 | 11 | 2.5 | 35 | 7.9 | 15 | 3.4 | 26 | 5.8 | |
| Any STI diagnosis (past 6 months)2 | χ2 = 77.9*** | ||||||||||||
| No | 3016 | 96.1 | 2460 | 81.6 | 91 | 3.0 | 165 | 5.5 | 130 | 4.3 | 170 | 5.6 | |
| Yes | 124 | 4.0 | 70 | 56.5 | 8 | 6.5 | 15 | 12.1 | 24 | 19.4 | 7 | 5.7 | |
| HIV-status | FE p < 0.001 | ||||||||||||
| HIV-negative | 2904 | 92.5 | 2331 | 80.3 | 93 | 3.2 | 180 | 6.2 | 154 | 5.3 | 146 | 5.0 | |
| Unknown | 236 | 7.5 | 199 | 84.3 | 6 | 2.5 | 0 | 0.0 | 0 | 0.0 | 31 | 13.1 | |
| Main partner HIV-status | FE p < 0.001 | ||||||||||||
| HIV-negative | 2836 | 90.3 | 2300 | 81.1 | 99 | 3.5 | 165 | 5.8 | 154 | 5.4 | 118 | 4.2 | |
| Unknown | 304 | 9.7 | 230 | 75.7 | 0 | 0.0 | 15 | 4.9 | 0 | 0.0 | 59 | 19.4 | |
| Continuous Variable | M | SD | M | SD | M | SD | M | SD | M | SD | M | SD | ANOVA |
| Age (range: 18–80 years) | 32.5 | 11.9 | 32.4 | 12.0 | 30.6 | 11.1 | 36.3 | 12.5 | 34.4 | 10.1 | 28.6 | 10.3 | F (4, 3135) = 11.2*** |
Note: Percentages may not add up to 100 because of rounding.
p < 0.05;
p < 0.01;
p < 0.001.
Main partner gender was not included in the multivariable models due to small cell sizes.
Sexually transmitted infection diagnoses included chlamydia, gonorrhea, and syphilis.
Individuals who self-identified as gay/queer were more likely to be classified in one of the three PrEP groups; 15.2% of gay/queer men were classified in a PrEP use group, compared to 8.8% of bisexual men and 3.6% of straight/other-identified men. Notably, significant differences were found by main partner gender, where GBMSM with a cisgender male partner were more likely to be classified in a PrEP use group. Of the 63 GBMSM with transgender partners, five (7.9%) reported PrEP use in the relationship. BSTI prevalence differed between the five groups. Self-reported 6-month BSTI prevalence was 2.8% for neither on PrEP, 8.1% for partner only PrEP use, 8.3% for participant PrEP use only, 15.6% for dyadic PrEP use, and 4.0% for those who did not know their partner’s PrEP use status. Full bivariate results are presented in Table 1.
In our fully-adjusted multinomial logistic regressions, individuals were more likely to be classified in the individual PrEP use only group compared to the neither participant nor partner PrEP use group as age increased (see Table 2). As age increased, individuals were less likely to be classified in the groups with partner PrEP use or unknown use compared to individual PrEP group (see Table 3). Compared to gay/queer men, bisexual men were less likely to be classified in the individual or dyadic PrEP use groups, individually, compared to the neither on PrEP group. Bisexual men were also more likely to be classified in the partner PrEP only or unknown partner PrEP use groups compared to the individual PrEP use group. Similarly, straight or other identified men (as compared to gay/queer men) were less likely to be classified in the dyadic PrEP group compared to the neither on PrEP group. No differences were observed comparing cisgender to transgender male participant group classification. Compared to men with lower educational attainment, men with a Bachelor’s degree or higher were more likely to be classified in the individual or dyadic PrEP use groups compared to the neither on PrEP group.
Table 2.
Results of the fully-adjusted multinomial regression model predicting concordant use of pre-exposure prophylaxis (PrEP) with neither participant nor partner on PrEP as the reference category (n = 3140)
| Partner on PrEP Only | Participant on PrEP Only | Both Participant and Partner on PrEP | Unknown Partner PrEP Use | |||||
|---|---|---|---|---|---|---|---|---|
| Variables | RRR+ | 95% CI | RRR | 95% CI | RRR | 95% CI | RRR | 95% CI |
| Age | 0.99 | 0.97–1.02 | 1.03*** | 1.01–1.04 | 1.00 | 0.99–1.02 | 1.00 | 0.98–1.02 |
| Sexual orientation identity (Ref: gay/queer) | ||||||||
| Bisexual | 0.95 | 0.57–1.59 | 0.46** | 0.28–0.75 | 0.21*** | 0.11–0.41 | 1.29 | 0.87–1.92 |
| Straight/other | 0.35 | 0.04–3.26 | 0.35 | 0.04–2.72 | 0.00*** | 0.00–0.00 | 1.40 | 0.42–4.63 |
| Gender (Ref: cisgender male) | ||||||||
| Transgender male | 0.37 | 0.05–3.04 | 1.65 | 0.57–4.81 | 1.55 | 0.30–7.96 | 1.02 | 0.39–2.66 |
| Race/ethnicity (Ref: White) | ||||||||
| Black | 2.56** | 1.28–5.10 | 1.13 | 0.49–2.62 | 3.18** | 1.55–6.51 | 2.01* | 1.10–3.67 |
| Latino | 0.50* | 0.25–1.00 | 1.34 | 0.87–2.07 | 1.28 | 0.79–2.06 | 1.88** | 1.24–2.84 |
| Other/multiracial | 1.02 | 0.55–1.89 | 1.17 | 0.73–1.86 | 1.93* | 1.17–3.18 | 1.85* | 1.14–2.99 |
| Education (Ref: less than Bachelor’s degree) | ||||||||
| Bachelor’s degree or higher | 1.26 | 0.81–1.96 | 2.12*** | 1.49–3.03 | 2.26*** | 1.54–3.33 | 0.81 | 0.54–1.21 |
| Region (Ref: South) | ||||||||
| Northeast | 0.94 | 0.52–1.69 | 1.99** | 1.25–3.16 | 1.70* | 1.04–2.78 | 1.21 | 0.75–1.97 |
| Midwest | 1.02 | 0.55–1.88 | 1.43 | 0.85–2.41 | 1.41 | 0.84–2.36 | 1.15 | 0.70–1.90 |
| West | 1.33 | 0.76–2.30 | 2.21*** | 1.42–3.43 | 1.11 | 0.68–1.81 | 1.30 | 0.84–2.00 |
| Other (e.g., US possession, military overseas) | 0.00*** | 0.00–0.00 | 2.94 | 0.52–16.52 | 4.92* | 1.40–17.29 | 2.48 | 0.61–10.02 |
| Relationship arrangement with main partner (Ref: monogamous1) | ||||||||
| Monogamish | 1.41 | 0.57–3.51 | 1.88 | 0.95–3.75 | 3.03** | 1.48–6.20 | 0.64 | 0.27–1.51 |
| Open | 4.19*** | 2.54–6.91 | 4.33*** | 2.75–6.79 | 6.83*** | 4.02–11.60 | 0.79 | 0.49–1.28 |
| No agreement | 2.30* | 1.10–4.84 | 2.96*** | 1.61–5.46 | 1.46 | 0.61–3.50 | 2.92*** | 1.91–4.46 |
| Relationship duration with main partner (Ref: 1–5 years) | ||||||||
| Less than 1 year | 4.58*** | 2.80–7.51 | 1.86** | 1.25–2.77 | 2.72*** | 1.70–4.37 | 3.79*** | 2.51–5.73 |
| More than 5 years | 0.89 | 0.48–1.66 | 0.71 | 0.47–1.06 | 1.78* | 1.12–2.85 | 0.73 | 0.41–1.30 |
| Any condomless anal sex with main partner (past 6 months; Ref: no) | ||||||||
| Yes | 1.29 | 0.78–2.11 | 0.96 | 0.66–1.38 | 2.45** | 1.47–4.10 | 0.46*** | 0.32–0.65 |
| Any condomless anal sex with male casual sex partners (past 6 months; Ref: no) | ||||||||
| Yes | 1.04 | 0.67–1.61 | 3.66*** | 2.46–5.42 | 2.39*** | 1.59–3.59 | 1.40 | 0.98–2.00 |
| Sexual position identity (Ref: bottom) | ||||||||
| Top | 1.11 | 0.49–2.51 | 0.58 | 0.33–1.03 | 2.09* | 1.01–4.31 | 0.60 | 0.31–1.18 |
| Versatile | 1.20 | 0.61–2.35 | 0.60* | 0.40–0.91 | 1.42 | 0.76–2.67 | 1.01 | 0.63–1.63 |
| Any STI diagnosis (past 6 months; Ref: no)2 | ||||||||
| Yes | 2.46* | 1.08–5.64 | 2.27** | 1.24–4.14 | 5.20*** | 2.94–9.17 | 1.16 | 0.48–2.82 |
| HIV-status (Ref: HIV-negative) | ||||||||
| Unknown | 1.25 | 0.51–3.06 | 0.00*** | 0.00–0.00 | 0.00*** | 0.00–0.00 | 1.21 | 0.72–2.03 |
| Main partner HIV-status (Ref: HIV-negative) | ||||||||
| Unknown | 0.00*** | 0.00–0.00 | 1.24 | 0.68–2.26 | 0.00*** | 0.00–0.00 | 3.01*** | 1.95–4.66 |
Note: Values with 0.00 are non-zero, rounded numbers.
p < 0.05;
p < 0.01;
p < 0.001.
RRR = relative risk ratio; this is the multinomial logistic regression coefficient exponentiated (i.e., eb).
When the referent group is monogamish, RRRs comparing open to monogamish are 2.97 (1.22–7.24, 95%CI) for partner on PrEP only, 2.30 (1.24–4.26, 95%CI) for participant on PrEP only, and 2.25 (1.24–4.09, 95%CI) for both participant and partner on PrEP.
Sexually transmitted infection diagnoses included chlamydia, gonorrhea, and syphilis.
Table 3.
Results of the fully-adjusted multinomial regression model predicting concordant use of pre-exposure prophylaxis (PrEP) with participant on PrEP only as the reference category (n = 3140)
| Partner on PrEP Only | Both Participant and Partner on PrEP | Unknown Partner PrEP Use | ||||
|---|---|---|---|---|---|---|
| Variables | RRR+ | 95% CI | RRR | 95% CI | RRR | 95% CI |
| Age | 0.97* | 0.94–1.00 | 0.98* | 0.96–1.00 | 0.98* | 0.95–1.00 |
| Sexual orientation identity (Ref: non-bisexual) | ||||||
| Bisexual | 2.08* | 1.05–4.13 | 0.46 | 0.20–1.03 | 2.83** | 1.55–5.18 |
| Straight/other | 1.02 | 0.06–18.31 | 0.00*** | 0.00–0.00 | 4.05 | 0.39–41.98 |
| Gender (Ref: cisgender male) | ||||||
| Transgender male | 0.23 | 0.02–2.57 | 0.94 | 0.16–5.66 | 0.62 | 1.16–2.47 |
| Race/ethnicity (Ref: White) | ||||||
| Black | 2.26 | 0.79–6.50 | 2.81 | 0.98–8.08 | 1.78 | 0.67–4.70 |
| Latino | 0.37* | 0.17–0.82 | 0.95 | 0.52–1.72 | 1.40 | 0.79–2.51 |
| Other/multiracial | 0.87 | 0.42–1.82 | 1.65 | 0.88–3.08 | 1.58 | 0.83–3.00 |
| Education (Ref: less than Bachelor’s degree) | ||||||
| Bachelor’s degree or higher | 0.59 | 0.34–1.02 | 1.07 | 0.65–1.74 | 0.38*** | 0.23–0.67 |
| Region (Ref: South) | ||||||
| Northeast | 0.47* | 0.23–0.98 | 0.85 | 0.46–1.60 | 0.61 | 0.32–1.16 |
| Midwest | 0.71 | 0.33–1.55 | 0.98 | 0.49–1.98 | 0.81 | 0.40–1.63 |
| West | 0.60 | 0.30–1.19 | 0.50* | 0.27–0.93 | 0.59 | 0.32–1.07 |
| Other (e.g., US possession, military overseas) | 0.00*** | 0.00–0.00 | 1.68 | 0.24–11.80 | 0.85 | 0.09–7.63 |
| Relationship agreement with main partner (Ref: monogamous) | ||||||
| Monogamish | 0.75 | 0.24–2.34 | 1.61 | 0.62–4.20 | 0.34 | 0.12–1.01 |
| Open | 0.97 | 0.50–1.87 | 1.58 | 0.81–3.09 | 0.18*** | 0.10–0.35 |
| No agreement | 0.78 | 0.30–1.98 | 0.49 | 0.18–1.37 | 0.98 | 0.48–2.01 |
| Relationship duration with main partner (Ref: 1–5 years) | ||||||
| Less than 1 year | 2.46** | 1.34–4.52 | 1.46 | 0.83–2.60 | 2.04* | 1.17–3.54 |
| More than 5 years | 1.26 | 0.61–2.60 | 2.52** | 1.41–4.51 | 1.03 | 0.51–2.06 |
| Any condomless anal sex with main partner (past 6 months; Ref: no) | ||||||
| Yes | 1.34 | 0.74–2.45 | 2.56** | 1.41–4.66 | 0.48** | 0.29–0.78 |
| Any condomless anal sex with male casual sex partners (past 6 months; Ref: no) | ||||||
| Yes | 0.29*** | 0.16–0.51 | 0.65 | 0.38–1.12 | 0.38*** | 0.23–0.64 |
| Sexual position identity (Ref: top) | ||||||
| Top | 1.90 | 0.73–4.94 | 3.55** | 1.51–8.34 | 1.03 | 0.44–2.41 |
| Versatile | 1.99 | 0.93–4.27 | 2.37* | 1.17–4.80 | 1.69 | 0.92–3.10 |
| Any STI diagnosis (past 6 months; Ref: no)1 | ||||||
| Yes | 1.09 | 0.42–2.78 | 2.29* | 1.13–4.62 | 0.51 | 0.19–1.42 |
| HIV-status (Ref: HIV-negative) | ||||||
| Unknown | 4×107*** | NR++ | -- | -- | 4×107*** | NR |
| Main partner HIV-status (Ref: HIV-negative) | ||||||
| Unknown | 0.00*** | 0.00–0.00 | 0.00*** | 0.00–0.00 | 2.43* | 1.22–4.84 |
Notes: Neither participant nor partner on PrEP category is shown because of redundancy with Table 2. Values with 0.00 are non-zero, rounded numbers.
p < 0.05;
p < 0.01;
p < 0.001.
RRR = relative risk ratio; this is the multinomial logistic regression coefficient exponentiated (i.e., eb).
NR = not reported due to large values.
Values are not reported because of concern of a spurious finding since zero individuals fall within this category (i.e., RRR = 3.46***, 2.16–5.56 95% CI).
Sexually transmitted infection diagnoses included chlamydia, gonorrhea, and syphilis.
Compared to White men, Black men were more likely to be classified in the partner-only PrEP use or dyadic PrEP use groups, individually, compared to the neither on PrEP group; Latino men were less likely to be classified in the partner-only PrEP group compared to the neither on PrEP group; and other/multiracial men were more likely to be classified in the dyadic PrEP use group compared to the neither on PrEP group. Latino men compared to White men were also less likely to be classified in the partner PrEP group compared to individual PrEP use group. Finally, non-White men were more likely to report not knowing their partner’s PrEP use status.
PrEP use among partnered men varied by relationship characteristics. Compared to their monogamous counterparts, men in open arrangements were more likely to be classified in each of the three PrEP groups compared to the neither on PrEP group. Also compared to monogamous men, men in monogamish arrangements were more likely to be classified in the dyadic PrEP group compared to the neither on PrEP group. Men with no relationship agreement (compared to monogamous) were more likely to be in the partner and participant only on PrEP or unknown partner PrEP use groups compared to the neither on PrEP group. When we changed the reference category to monogamish, men who were in open relationships (compared to men in monogamish arrangements) were more likely to be classified in each of the three PrEP groups compared to the neither on PrEP group (see footnote in Table 2). Compared to men in relationships 1–5 years in duration, men in relationships less than a year were more likely to be classified in each of the three PrEP use groups and unknown partner PrEP use group compared to the neither on PrEP group. Men in relationships for less than a year were also more likely to be classified in the partner PrEP group and men in relationships longer than 5 years were more likely to be classified in the dyadic PrEP use group, as compared to the individual-only PrEP use group. Similarly, men in relationships longer than 5 years were more likely to be classified into the dyadic PrEP use group compared to neither on PrEP group.
Engagement in sexual HIV/BSTI transmission risk behavior was associated with PrEP use group classification. Men who had engaged in any CAS with their main partner were more likely to be classified in the dyadic PrEP use group compared to the neither on PrEP group. Similarly, men who reported any CAS with male casual partners were more likely to be classified in the dyadic PrEP use group compared to the neither on PrEP group. Engagement in CAS with male casual partners was also associated with individual-only PrEP use classification compared to the neither on PrEP group, after similarly accounting for all other variables including relationship factors. Men who engaged in any CAS with male casual partners were also less likely to be classified in the partner PrEP use group compared to individual-only use group. Regarding sexual positioning and compared to those who identified as typically engaged in sex in the bottom position, men who identified as typically in the top position were more likely to be classified in the dyadic PrEP use group compared to men in the neither on PrEP group. Men who reported typically engaging in sex via top or versatile positions were also more likely to be classified in the dyadic compared to individual-only PrEP use group. Those who self-reported a recent BSTI were more likely to be classified in one of the three groups with PrEP use classifications compared to the neither on PrEP group. The relative risk of self-reporting a recent BSTI was also higher among men classified in the dyadic PrEP use group compared to individual-only PrEP use group. Finally, individuals who reported an HIV-unknown status compared to negative were less likely to be in the PrEP use groups compared to the neither on PrEP group. Individuals who did not know their main partner’s HIV-status were also more likely to be unaware of their partner’s PrEP use status.
DISCUSSION
In mid-2017, PrEP use was reported by 11.2% of the GBMSM in relationships who participated in our online survey. PrEP use was relatively uncommon when considered in the context of CDC PrEP guidelines, which indicate the benefit of PrEP for GBMSM in non-mutually monogamous relationships.15 More than half of the men in our study reported a non-monogamous relationship arrangement and more than 40% reported engaging in recent CAS with a male casual partner, indicating the need for further intervention to increase PrEP uptake among this population. The formation of relationship agreements is one mechanism for partnered GBMSM to reduce or understand their HIV risk, which was supported by our findings that agreement formation was associated with knowing the PrEP use status of their partner. The context of these findings is supported by prior qualitative work. PrEP offers an extra level of HIV prevention beyond relationship agreements.23,24 PrEP barriers specific to GBMSM in relationships include concerns about perceived changes in the relationship resulting from beliefs in behavioral disinhibition and violations to these agreements.23,24 Enthusiasm for PrEP among partnered GBMSM was reduced because of worries about the lack of PrEP protection against BSTIs.24
Our self-reported BSTI findings indicate PrEP use was occurring during times of potentially higher risk behavior engagement, supporting the need for regular BSTI screening and risk reduction counseling of GBMSM while on PrEP.11–13,28–33 Most notably, men who reported a recent BSTI had a five-fold greater likelihood of being in the dyadic PrEP use group, and two-fold greater likelihood of being in the individual PrEP use group, compared to the neither on PrEP group. There is rationale for incorporating partners into PrEP maintenance care because of the potential added BSTI risk of having a partner on PrEP who engages in condomless sex with outside partners. Alternatively, our BSTI findings by PrEP use group could be the result of added BSTI screening associated with PrEP maintenance care. Nonetheless, dyadic sexual health visits could offer an opportunity to promote PrEP use to partners who have not yet initiated and at least offer an opportunity for ongoing BSTI screening for the couple.
PrEP coverage is lacking for several subpopulations of GBMSM including younger men, bisexual men, Latino men, and men who have a bottom sexual position identity. Despite the disproportionate burden of HIV among young GBMSM,1 younger men were less likely to be classified in the individual PrEP use, with the individual only PrEP users having the highest mean age. Nonetheless, average age in PrEP using couples was youngest in the partner on PrEP only group, indicating the potential to expand PrEP uptake to younger GBMSM in relationships by intervening with their partner currently on PrEP and targeting partner PrEP uptake. PrEP use could also be expanded to younger GBMSM by relationship-oriented interventions since those who didn’t know their partner’s PrEP use status were the youngest of all five groups. Expanding individual and dyadic PrEP uptake is particularly important for younger populations as new HIV diagnoses are skewed towards younger GBMSM and PrEP has now been USFDA approved for adolescent use.1,16 In particular, dyadic PrEP use could help young GBMSM overcome barriers to PrEP use through the added social support of concurrent use with their partner because of the importance of social network influences among this population.18
Bisexual men in our sample were less likely to report individual or dyadic PrEP uptake compared to their gay/queer counterparts. This finding supports prior research with preliminary indications that bisexual men are less likely to use PrEP compared to their gay identified counterparts,38,39 and bisexual men are also more likely to discontinue PrEP use within six months.40 Limited PrEP use among bisexual men may result from the interacting effects related to bisexual identity disclosure difficulty and perceived PrEP stigma,41,42 but further investigation is needed.
No differences were observed by race/ethnicity for individual-only PrEP uptake, but we found Latino men were less likely to report partner-only PrEP use, which could exacerbate HIV disparities among this population compared to their White counterparts because of lower PrEP uptake among their partners. However, partner PrEP uptake could have a protective effect for Black GBMSM because of higher partner-only and dyadic PrEP use. Expanding discussions about PrEP use within non-White GBMSM is needed more generally to promote PrEP uptake, but also to increase their understanding of HIV risk since non-White men had the highest percentages of being in the unknown partner PrEP use group. Further epidemiological evidence is needed longitudinally to measure the effect of these PrEP uptake trends on HIV disparities.
Sexual positioning is related to HIV transmission risk,43 yet we found men who identify with the position of greatest risk (i.e., bottom) to be less likely to report dyadic PrEP use (compared to no PrEP use) when compared to men who identify as a top. Based on findings from our second regression, men currently taking PrEP in less risky sexual positions (i.e., top and versatile) were more likely to report their partner was also on PrEP. This indicates men could be combining biomedical prevention with positioning as an added safety measure, but PrEP use could also be an attempt to mitigate HIV risk for their partner (i.e., partner protection beliefs). Further research is needed to compare the effects of individual and partner protection beliefs as potential motivational factors for PrEP use and other HIV risk reduction strategies.
Sexual health services tailored for partnered GBMSM could be effective in promoting PrEP for this population. Couples HIV testing and counseling—a dyadic intervention designed for GBMSM to engage in HIV testing with their cisgender male partner44—offers a unique opportunity for further adaptation to support PrEP uptake discussions for partnered GBMSM. While some men were willing to have these discussions with their cisgender male partners,24 further work is needed to expand couples HIV testing and counseling to more dyads given low reported uptake among cisgender men partnered with transgender women.45 Within these dyadic interventions, couples could then decide if, and for whom in the relationship, PrEP could benefit. These types of sexual risk reduction discussions often incorporate negotiations of sexual agreements of how the couple will handle sex with others outside of the relationship,37,46,47 which could be a relevant PrEP uptake motivational factor for GBMSM in non-monogamous agreements. One noteworthy finding of our data was that men in monogamish relationships were more likely to report dyadic PrEP use compared to their monogamous counterparts, likely resulting from the formation of these agreements. Couples HIV testing and counseling sessions offer an opportunity to develop or reconcile any discrepancies in agreement and rules regarding sex with extra-dyadic partners,48,49 in addition to potentially promoting PrEP as an HIV prevention tool.
Limitations
Our research is not without limitation. First, our survey had gay and queer sexual identities in a single response category, which did not allow us to test for differences between these groups. Second, we relied on self-reported diagnoses of BSTIs subject to underreporting from undiagnosed asymptomatic or unrecognized infections. Third, we excluded couples with an HIV-positive member because of differential HIV transmission risk; thus, these findings are restricted to HIV-negative/unknown GBMSM who believe their partner is HIV-negative or unknown status. Finally, our sample only included one member of the relationship recruited online, limiting generalizability, but this likely resulted in a wider range of partnered GBMSM compared to a dyadic recruitment strategy that can bias the sample towards high functioning couples.50
Conclusion
PrEP coverage was modest among our online sample of GBMSM in relationships, and coverage remains low considering more than half of the sample reported a non-monogamous relationship arrangement with their main partner. Further efforts are needed to expand PrEP use to GBMSM in relationships, perhaps through existing HIV prevention interventions including couples HIV testing and counseling. BSTI screening remains an important component of ongoing PrEP maintenance care based on our findings of elevated BSTI risk among GBMSM who reported individual and/or partner PrEP use.
ACKNOWLEDGMENTS
Data collection funding support came in part from the Fordham HIV and Drug Abuse Prevention Research Ethics Training Institute (RETI), a training grant sponsored by the National Institute on Drug Abuse (R25-DA031608, PI: Fisher). The authors were also supported by funding from the National Institute of Mental Health (P30-MH052776, PI: Kelly), the National Institute on Drug Abuse through a Mentored Career Development Award (K01-DA039060, PI: Rendina), and the National Institute of Allergy and Infectious Diseases (R01-DA045613–01S1, PI: Starks, Awardee: Robles). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors acknowledge the contributions of Dr. Jeffrey T. Parsons, Dr. Celia B. Fisher, Dr. Brian Mustanski, Dr. Brenda Curtis, and the Center for HIV/AIDS Educational Studies and Training Research Team, in particular those who played important roles in the implementation of the project and this manuscript: Ruben Jimenez, Scott Jones, Jonathan Lopez-Matos and Chloe Mirzayi.
Funding: Steven A. John was supported by the Center for AIDS Intervention Research (CAIR) and the National Institute of Mental Health (P30-MH052776, PI: Jeffrey A. Kelly). Gabriel Robles received support from the National Institute on Drug Abuse (R01-DA045613–01S1, PI: Tyrel J. Starks, Awardee: Gabriel Robles). H. Jonathon Rendina was supported in part by a career development award from the National Institute on Drug Abuse (K01-DA039060; PI: H. Jonathon Rendina). Data collection for this paper was supported in part by the Fordham HIV and Drug Abuse Prevention Research Ethics Training Institute (RETI), a training grant sponsored by the National Institute on Drug Abuse (R25-DA031608, PI: Celia B. Fisher). The authors also acknowledge the generous funding provided by the offices of the President, the Provost, and the Dean of Arts & Sciences of Hunter College, CUNY; additional support was also provided by Hunter College’s Center for HIV/AIDS Educational Studies & Training (CHEST). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, Fordham RETI, Medical College of Wisconsin, or Hunter College, CUNY.
Footnotes
Conflict of Interest: The authors declare that they have no conflict of interest.
Previous meeting where part of these data were presented: International Association of Providers of AIDS Care (IAPAC) Conference, Miami, FL. June 8–10, 2018.
REFERENCES
- 1.Centers of Disease Control and Prevention. HIV surveillance report, 2016, vol. 28 2017; https://www.cdc.gov/hiv/pdf/library/reports/surveillance/cdc-hiv-surveillance-report-2016-vol-28.pdf. [Google Scholar]
- 2.Centers of Disease Control and Prevention. HIV among gay and bisexual men. CDC Fact Sheet. 2016. https://www.cdc.gov/nchhstp/newsroom/docs/factsheets/cdc-msm-508.pdf. [Google Scholar]
- 3.Baeten JM, Donnell D, Ndase P, et al. Antiretroviral prophylaxis for HIV prevention in heterosexual men and women. N Engl J Med. 2012;367(5):399–410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Choopanya K, Martin M, Suntharasamai P, et al. Antiretroviral prophylaxis for HIV infection in injecting drug users in Bangkok, Thailand (the Bangkok Tenofovir Study): A randomised, double-blind, placebo-controlled phase 3 trial. Lancet. 2013;381(9883):2083–2090. [DOI] [PubMed] [Google Scholar]
- 5.Grant RM, Lama JR, Anderson PL, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363(27):2587–2599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Marrazzo JM, Ramjee G, Richardson BA, et al. Tenofovir-based preexposure prophylaxis for HIV infection among African women. N Engl J Med. 2015;372(6):509–518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Thigpen MC, Kebaabetswe PM, Paxton LA, et al. Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. N Engl J Med. 2012;367(5):423–434. [DOI] [PubMed] [Google Scholar]
- 8.Van Damme L, Corneli A, Ahmed K, et al. Preexposure prophylaxis for HIV infection among African women. N Engl J Med. 2012;367(5):411–422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Grant RM, Anderson PL, McMahan V, et al. Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: A cohort study. Lancet Infect Dis. 2014;14(9):820–829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hoagland B, Moreira RI, De Boni RB, et al. High pre-exposure prophylaxis uptake and early adherence among men who have sex with men and transgender women at risk for HIV Infection: the PrEP Brasil demonstration project. J Int AIDS Soc. 2017;20(1):1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Liu AY, Cohen SE, Vittinghoff E, et al. Preexposure prophylaxis for HIV infection integrated with municipal- and community-based sexual health services. JAMA Intern Med. 2016;176(1):75–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.McCormack S, Dunn DT, Desai M, et al. Pre-exposure prophylaxis to prevent the acquisition of HIV-1 infection (PROUD): Effectiveness results from the pilot phase of a pragmatic open-label randomised trial. Lancet. 2016;387(10013):53–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Volk JE, Marcus JL, Phengrasamy T, et al. No new HIV infections with increasing use of HIV preexposure prophylaxis in a clinical practice setting. Clin Infect Dis. 2015;61(10):1601–1603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.United States Food and Drug Administration. FDA approves first medication to reduce HIV risk. 2012; https://wayback.archive-it.org/7993/20170406045106/https://www.fda.gov/ForConsumers/ConsumerUpdates/ucm311821.htm.
- 15.Centers for Disease Control and Prevention. Preexposure prophylaxis for the prevention of HIV infection in the United States - 2017 update. A clinical practice guideline. 2018. https://www.cdc.gov/hiv/pdf/risk/prep/cdc-hiv-prep-guidelines-2017.pdf.
- 16.Gilead Sciences I. U.S. Food and Drug Administration Approves Expanded Indication for Truvada® (Emtricitabine and Tenofovir Disoproxil Fumarate) for Reducing the Risk of Acquiring HIV-1 in Adolescents. 2018; https://www.businesswire.com/news/home/20180515006187/en/U.S.-Food-Drug-Administration-Approves-Expanded-Indication.
- 17.Parsons JT, Rendina HJ, Lassiter JM, et al. Uptake of HIV Pre-Exposure Prophylaxis (PrEP) in a National Cohort of Gay and Bisexual Men in the United States. J Acquir Immune Defic Syndr. 2017;74(3):285–292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kuhns LM, Hotton AL, Schneider J, et al. Use of pre-exposure prophylaxis (PrEP) in young men who have sex with men is associated with race, sexual risk behavior and peer network size. AIDS Behav. 2017;21(5):1376–1382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rolle CP, Rosenberg ES, Siegler AJ, et al. Challenges in translating PrEP interest into uptake in an observational study of young Black MSM. J Acquir Immune Defic Syndr. 2017;76(3):250–258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Siegler AJ, Mouhanna F, Giler RM, et al. Distribution of active PrEP prescriptions and the PrEP-to-need ratio, US, Q2 2017 [1022LB]. Presented at: 25th Conference on Retroviruses and Opportunistic Infections; 2018; Boston, MA. [Google Scholar]
- 21.Goodreau SM, Carnegie NB, Vittinghoff E, et al. What drives the US and Peruvian HIV epidemics in men who have sex with men (MSM)? PLoS One. 2012;7(11):e50522. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sullivan PS, Salazar L, Buchbinder S, et al. Estimating the proportion of HIV transmissions from main sex partners among men who have sex with men in five US cities. AIDS. 2009;23(9):1153–1162. [DOI] [PubMed] [Google Scholar]
- 23.Mitchell JW, Lee JY, Woodyatt C, et al. HIV-negative male couples’ attitudes about pre-exposure prophylaxis (PrEP) and using PrEP with a sexual agreement. AIDS Care. 2016;28(8):994–999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Starks TJ, Doyle KM, Shalhav O, et al. An examination of gay couples’ motivations to use (or forego) pre-exposure prophylaxis during couples HIV testing and counseling (CHTC) sessions. Prev Sci. 2019;20(1):157–167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.John SA, Starks TJ, Rendina HJ, et al. Should I convince my partner to go on pre-exposure prophylaxis (PrEP)? The role of personal and relationship factors on PrEP-related social control among gay and bisexual men. AIDS Behav. 2018;22(4):1239–1252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Grov C, Rendina HJ, Patel VV, et al. Prevalence of and factors associated with the use of HIV serosorting and other biomedical prevention strategies among men who have sex with men in a US nationwide survey. AIDS Behav. 2018;22(8):2743–2755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Newcomb ME, Mongrella MC, Weis B, et al. Partner disclosure of PrEP use and undetectable viral load on geosocial networking apps: Frequency of disclosure and decisions about condomless sex. J Acquir Immune Defic Syndr. 2016;71(2):200–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Golub SA, Peña S, Boonrai K, et al. STI data from community-based PrEP implementation suggest changes to CDC guidelines [869]. Presented at: 23rd Conference on Retroviruses and Opportunistic Infections; 2016; Boston, MA. [Google Scholar]
- 29.Lal L, Audsley J, Murphy DA, et al. Medication adherence, condom use and sexually transmitted infections in Australian preexposure prophylaxis users. AIDS. 2017;31(12):1709–1714. [DOI] [PubMed] [Google Scholar]
- 30.Marcus JL, Hurley LB, Hare CB, et al. Preexposure prophylaxis for HIV prevention in a large integrated health care system: Adherence, renal safety, and discontinuation. J Acquir Immune Defic Syndr. 2016;73(5):540–546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Newcomb ME, Moran K, Feinstein BA, et al. Pre-exposure prophylaxis (PrEP) use and condomless anal sex: Evidence of risk compensation in a cohort of young men who have sex with men. J Acquir Immune Defic Syndr. 2018;77(4):358–364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Oldenburg CE, Nunn AS, Montgomery M, et al. Behavioral changes following uptake of HIV pre-exposure prophylaxis among men who have sex with men in a clinical setting. AIDS Behav. 2018;22(4):1075–1079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Traeger MW, Schroeder SE, Wright EJ, et al. Effects of pre-exposure prophylaxis for the prevention of HIV infection on sexual risk behavior in men who have sex with men: A systematic review and meta-analysis. Clin Infect Dis. 2018;67(5):676–686. [DOI] [PubMed] [Google Scholar]
- 34.Rendina HJ, Parsons JT. Factors associated with perceived accuracy of the Undetectable = Untransmittable slogan among men who have sex with men: Implications for messaging scale-up and implementation. J Int AIDS Soc. 2018;21(1). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Rendina HJ, Mustanski B. Privacy, trust, and data sharing in web-based and mobile research: Participant perspectives in a large nationwide sample of men who have sex with men in the United States. J Med Internet Res. 2018;20(7):e233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Teitcher JE, Bockting WO, Bauermeister JA, et al. Detecting, preventing, and responding to “fraudsters” in Internet research: ethics and tradeoffs. J Law Med Ethics. 2015;43(1):116–133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Parsons JT, Starks TJ, DuBois S, et al. Alternatives to monogamy among gay male couples in a community survey: Implications for mental health and sexual risk. Arch Sex Behav. 2013;42(2):303–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Grov C, Rendina HJ, Jimenez R, et al. Using online settings to identify gay and bisexual men willing to take or with experience taking PrEP: Implications for researchers and providers. AIDS Educ Preven. 2016;28(5):378–392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Feinstein BA, Moran KO, Newcomb ME, et al. Differences in HIV risk behaviors between self-identified gay and bisexual young men who are HIV-negative. Arch Sex Behav. 2019;48(1):261–275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Shover CL, Javanbakht M, Shoptaw S, et al. High discontinuation of pre-exposure prophylaxis within six months of initiation [1009]. Paper presented at: 25th Conference on Retroviruses and Opportunistic Infections2018; Boston, MA. [Google Scholar]
- 41.Dodge B, Jeffries WLt, Sandfort TG. Beyond the Down Low: Sexual risk, protection, and disclosure among at-risk Black men who have sex with both men and women (MSMW). Arch Sex Behav. 2008;37(5):683–696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Mustanski B, Ryan DT, Hayford C, et al. Geographic and individual associations with PrEP stigma: Results from the RADAR cohort of diverse young men who have sex with men and transgender women. AIDS Behav. 2018;22(9):3044–3056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Vittinghoff E, Douglas J, Judson F, et al. Per-contact risk of Human Immunodeficiency Virus transmission between male sexual partners. Am J Epidemiol. 1999;150(3):306–311. [DOI] [PubMed] [Google Scholar]
- 44.Sullivan PS, White D, Rosenberg ES, et al. Safety and acceptability of couples HIV testing and counseling for US men who have sex with men: A randomized prevention study. J Int Assoc Provid AIDS Care. 2014;13(2):135–144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Reisner SL, Menino D, Leung K, et al. “Unspoken agreements”: Perceived acceptability of Couples HIV Testing and Counseling (CHTC) among cisgender men with transgender women partners. AIDS Behav. 2019;23(2):366–374. [DOI] [PubMed] [Google Scholar]
- 46.Hoff CC, Beougher SC. Sexual agreements among gay male couples. Arch Sex Behav. 2010;39:774–787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Mitchell JW, Lee JY, Woodyatt C, et al. Illuminating the context and circumstances of male couples establishing a sexual agreement in their relationship. Am J Mens Health. 2017;11(3):600–609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hoff CC, Beougher SC, Chakravarty D, et al. Relationship characteristics and motivations behind agreements among gay male couples: Differences by agreement type and couple serostatus. AIDS Care. 2010;22(7):827–835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Gamarel KE, Reisner SL, Darbes LA, et al. Dyadic dynamics of HIV risk among transgender women and their primary male sexual partners: the role of sexual agreement types and motivations. AIDS Care. 2016;28(1):104–111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Starks TJ, Millar BM, Parsons JT. Correlates of individual versus joint participation in online survey research with same-sex male couples. AIDS Behav. 2015;19(6):963–969. [DOI] [PMC free article] [PubMed] [Google Scholar]
