980555421009Sex Transm InfectSex Transm InfectSexually transmitted infections1368-49731472-326327356041524124510.1136/sextrans-2015-052382NIHMS841862ArticlePrevalence and characteristics of users of pre-exposure prophylaxis (PrEP) amongst men who have sex with men, San Francisco, 2014 in a cross-sectional survey: Implications for disparitiesSnowdenJonathan M.ChenYea-HungMcFarlandWilliRaymondHenry F.Correspondence: H. Fisher Raymond, Dr. PH, MPH, San Francisco Department of Public Health, 25 Van Ness, San Francisco, CA 94102 (hfisher.raymond@sfdph.org)111201728620162201701820179315255Objectives

Pre-exposure prophylaxis (PrEP) has gained a central role in prevention of HIV infection amongst men who have sex with men (MSM), particularly in San Francisco, California, USA. Programmes to enroll men in PrEP are being undertaken by a range of public and private organisations. PrEP will have the largest population impact if it reaches men who are most at risk for HIV infection, and is used in a manner that enables maximal efficacy. Access to PrEP also needs to be equitable. We report on the characteristics of men eligible for and using PrEP.

Methods

Data were from the 2014 implementation of National HIV Behavioural Surveillance (NHBS) amongst MSM in San Francisco. NHBS uses venue-based sampling as the national standard for sampling MSM. We compare proportions of demographic characteristics of MSM using versus not using PrEP who are HIV-negative and meet CDC guidelines to recommend PrEP.

Results

Overall, 64.1 % of HIV-negative MSM in San Francisco would meet guidelines for PrEP use, while 9.2 % of MSM overall and 14.5 % of MSM eligible were using PrEP as of 2014. Men using PrEP are more likely to be White and older age. There were no differences between men using and not using PrEP in terms of education, income and health insurance.

Conclusions

PrEP roll-out efforts should attempt to increase reach for young, Black and Hispanic MSM. Failure to equitably provide access to PrEP could exacerbate the US disparity in new HIV infections for men of colour.

Men who have sex with men (MSM)HIV preventionPre-exposure prophylaxis (PrEP)demographicsdisparitiesSan Francisco
INTRODUCTION

Pre-exposure prophylaxis (PrEP) has gained a central role in prevention of HIV infection amongst men who have sex with men (MSM) and has been vigorously promoted in San Francisco, California, USA. Our city was an early site for research and the first clinical trial for PrEP [1], open label continuation [2], and now engaged in expanding PrEP offering through private [3] and public PrEP clinics [2, 4]. The safety and efficacy of the preventative medication have been demonstrated in clinical trials, especially amongst MSM [1, 5, 6]. Other research has demonstrated the acceptability and demand for PrEP amongst MSM [710]. Less is known about the extent of use of PrEP amongst MSM outside the context of trials, demonstration projects and clinics. In particular, data need to track the use of PrEP in population- or community- based surveys to gauge eligibility and use and to identify disparities in access.

Guidance on which MSM should be recommended PrEP use has been formulated by the Centers for Disease Control and Prevention (CDC) [11]. Recommendations for PrEP use in HIV-negative MSM are: a) has an HIV-infected partner, or b) is not in a mutually monogamous relationship with an HIV-uninfected partner, and c) has condomless anal intercourse or had a sexually transmitted infection (STI) in the past six months. These CDC guidelines do not consider factors such as age and race/ethnicity, which are associated with greater rates of HIV transmission amongst MSM in the US [12].

A better understanding of who is taking up PrEP (vis-à-vis recommended criteria and demographic characteristics) is essential to provide information enabling public health officials and clinicians to better prioritise segments of populations in need of PrEP. Such foundational information will inform current and future efforts to stabilise HIV incidence and close persistent disparities. As an early epicenter of the HIV epidemic amongst MSM and given the vigorous scale-up of PrEP, San Francisco’s experience may presage trends elsewhere. We therefore undertook the present analysis to describe PrEP uptake in a community-based sample of MSM in San Francisco.

METHODSData source

We used data from the 2014 National HIV Behavioural Surveillance (NHBS) survey conducted in San Francisco amongst MSM [13]. Participants were recruited at community locations such as bars, clubs, parks, and street corners where MSM congregate, using time-location sampling [13]. An extensive roster of venues, days and times where MSM can be found was compiled by the field team. From that roster, venues were selected randomly without replacement to construct a month long sampling calendar. After venues were selected, days and times were randomly selected for each venue and scheduled for sampling events. At each of the four-hour sampling events, study staff enumerated all potentially eligible men at or entering the venue and systematically approached, screened and enrolled eligible men. Men were eligible if they lived in the San Francisco division of the San Francisco metropolitan statistical area, were 18 or older, and identified as gay or bisexual or have had sex with another man in the past 12 months. Men who agreed to participate gave oral informed consent and completed an interviewer administered survey on a tablet computer.

Measures

The current paper focuses on the prevalence of PrEP eligibility and use by different populations of MSM during the time period following the introduction of PrEP to MSM in San Francisco. That is, the survey was conducted in 2014, two years after FDA licensing of PrEP [14]. Many MSM in San Francisco participated in the blinded and open label trials and demonstration projects prior to licensure. The CDC guidelines were used to classify the proportion of MSM recommended for PrEP in the population as a whole and within demographic groups [11]. Specifically, we classified HIV-negative respondents as meeting guidelines for PrEP over the 12 months prior to the survey if they reported having an HIV-positive partner or were not in a mutually monogamous relationship with an HIV-negative partner AND reported condomless anal sex or an STI in the past 12 months. Of note, the CDC guidelines for STI history are measured with the last six months as the recall period; unfortunately our recall period was the last 12 months.

After classifying men by PrEP eligibility, we further classified them by their self-reported PrEP use with the following introduction and question: “Researchers are studying whether anti-HIV medicine (also called antiretrovirals) -- a pill -- could possibly be taken to prevent HIV infection. “In the past 12 months, have you taken anti-HIV medicines before sex because you thought it would keep you from getting HIV?”. Therefore, our definition of PrEP use potentially capture men who were prescribed PrEP by a clinician as well men who used antiretrovirals from another informal source (e.g., a friend or sex partner). [15, 16]

Analysis

Analysis was guided by the null hypothesis that PrEP use would be equally distributed amongst MSM in San Francisco by demographic characteristics (e.g., age, race/ethnic, education, income) and by health insurance status (as an indicator of access to care) amongst those eligible for PrEP. We restricted analysis to men who self-reported being HIV-uninfected. We first examined the number and per cent of PrEP-eligible individuals in the groups of interest, compared by Fisher’s exact test. We then compared PrEP use amongst those eligible in bivariate and multivariate models to estimate risk ratios and corresponding 95 % confidence intervals. We used generalised linear models with a Poisson family and a log link, and obtained robust standard errors. In our multivariate models, we adjusted for age and race/ethnicity (the model for the association with age group was only adjusted for race/ethnicity, and vice versa). All analysis was conducted using R (R version: 3.2.0). We used a significance level of 0.05 for all statistical tests.

Ethical review and approval was obtained from the University of California, San Francisco, Committee on Human Research (IRB approval # 084556).

RESULTS

San Francisco’s 2014 implementation of NHBS MSM recruited 411 MSM. Of those, 301 (73.2 %) self-reported being HIV-negative (Table 1). A majority was between 25 and 44 years old (60.5 %), White (54.8 %), had at least some college education (86.4 %), or earned $50,000 USD per year or greater (53.4 %). Fully 87.7 % of HIV-negative MSM reported having health insurance. A large proportion of men (64.1 %, 193 men) met the CDC recommended guidelines for PrEP. Age was associated with meeting PrEP guidelines; 80.0 % of young MSM age 18 to 24 years were eligible compared to 28.6 % of those 55 and older (p<0.001). No differences in the proportions meeting the guidelines for PrEP were noted by race/ethnicity, education level, income, and health insurance status.

Overall 30 men (9.9 %) reported using PrEP at some point in the past 12 months. Of note, two men (0.7 % of the sample of HIV-uninfected men) were reportedly using PrEP but did not fall under one of the guidelines for PrEP use. Amongst men using PrEP, the majority reported receiving PrEP from their doctor (93.3%). Amongst men who met recommended guidelines, PrEP use significantly differed by age (p=0.04) and race/ethnicity (p=0.02) (Table 2). No eligible individuals in the youngest age group (18–24 years) reported PrEP use, whereas 30 % of eligible men 55 years of age or older reported PrEP use. Compared to White MSM, fewer in other racial/ethnic groups reported PrEP use. In particular, eligible Hispanic men were less likely than eligible White men to report PrEP use (4.3 % vs. 22.9 %, respectively, age-adjusted risk ratio [RR] comparing Hispanics to Whites 0.2, 95 % confidence interval [CI] 0.0–0.8). Eligible Asian men and eligible Black men were also less likely to report PrEP use: 7.1 % of eligible Asian men and 7.7 % of eligible Black men reported PrEP use, compared to the 22.9 % of eligible White MSM. Eligible White men were over four times as likely as eligible non-White men to use PrEP (age-adjusted RR: 4.4, 95 % CI 1.6–11.9; results not shown in table).

In terms of willingness to use PrEP, 145 (48%) of the HIV-negative men reported that they would be willing to take PrEP. The proportion of each race/ethnicity group willing to take PrEP was similar (ranging from 43% to 54%).

DISCUSSION

While nearly two-thirds of MSM in San Francisco are eligible for PrEP, fewer than one in ten were using this prevention method two years after licensure and four years after it was found safe and efficacious [1, 14]. Using a published estimate of the size of the HIV uninfected MSM population in San Francisco [17] we estimate that 32,453 MSM would fall under the CDC guidelines of whom 4,708 were using PrEP in 2014. In other words, an additional 27,745 MSM in San Francisco would meet the guidelines but were not using PrEP.

While we found little difference in willingness to take PrEP across racial groups, we also found disparities in that PrEP use was disproportionately lower amongst young MSM and MSM of colour, particularly Black and or Hispanic men. Having health insurance was not correlated with PrEP use, suggesting that broad access to health care does not account for these disparities. Other studies have noted barriers to PrEP use amongst Black and Hispanic MSM, including perception of side effects [18] and cost [19]. A study of STI clinic attendees, including San Francisco, found MSM of colour less likely to have heard of PrEP and less likely self-refer for PrEP compared to White MSM [9]. Moreover, our data suggest that there is a discrepancy in the fact that similar proportions were willing to use PrEP by race/ethnic groups yet a paucity of Black and Latino MSM who were using PrEP at the time of the survey. A limitation of our behavioural surveillance-oriented survey is that we did not ask the specific reasons why persons did not use PrEP. We can nonetheless corroborate the potentially emerging PrEP disparity for these groups in the wider population.

Of course, our analysis has other limitations. First, as our data originate from a cross section survey we cannot ascribe causality to PrEP use. Indeed, our analysis does not include risk behaviours as temporality (e.g. cause before effect) cannot be established. However, the comparisons between those that are using and those that are not using PrEP is informative to describe PrEP use in a community-based sample and therefore also closer to a real-world settings. For example, our data can be used to advocate for programmes prioritising young and minority MSM. Second, our data are from 2014 when only a short time from licensure in 2012. The proportion of MSM using PrEP in San Francisco may well be larger at the time of this analysis. Third, although NHBS uses venue-based sampling as the national standard to sample MSM it is possible that our data miss some segments of the population or include those who may be more or less likely to use PrEP. Fourth, sample sizes are small given the low level of PrEP uptake so far, even in San Francisco where promotion has been vigorous. Collectively, these limitations highlight an important area for future research as PrEP use becomes more widespread. Lastly, our data are from San Francisco and do not reflect what may be occurring in other places in the US or internationally. For example, the demographic makeup of San Francisco MSM may differ from other populations of MSM in the U.S. and internationally. Unfortunately, sexual orientation is not yet included in the US Census and the sizes and make-up of MSM populations in the US are uncertain. However, with San Francisco being an early, vocal adopter of PrEP [4], our findings may provide a glimpse of one scenario that may play out elsewhere.

In conclusion, these findings call attention to the need to further monitor the rollout and uptake of PrEP in communities of MSM where it is recommended. PrEP uptake efforts should continue to attempt to reach Black and Latino MSM. If Black and Latino MSM do not take up PrEP use while White men do, it is possible that a greater share of new HIV diagnoses may occur amongst men of colour, exacerbating noted HIV disparities [12, 20, 21].

Funding: The Centers for Disease Control and Prevention (CDC) funded the collection of data for the National HIV Behavioral Surveillance 2014 round (grant number 5U1BPS003247). The funder had no role in the analysis or interpretation of data, the writing of the report, or the decision to submit the manuscript for publication. JMS is supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (grant number K99 HD079658-02).

CONTRIBUTORS

JS, HFR, Y-HC and WM conceived the study, drafted the paper, made revisions and approved the final draft. Y-HC conducted the analysis. HFR oversaw data collection.

Competing Interest: None declared. The funder (CDC) did not review this manuscript nor had any say in the decision to submit for publication.

The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of all authors, an exclusive licence (or non-exclusive for government employees) on a worldwide basis to the BMJ and co-owners or contracting owning societies (where published by the BMJ on their behalf), and its Licensees to permit this article (if accepted) to be published in Sexually Transmitted Infections and any other BMJ products and to exploit all subsidiary rights, as set out in our licence.

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Characteristics of survey participants and those who meet guidelines for pre-exposure prophylaxis (PrEP) use, HIV-negative men who have sex with men (MSM), San Francisco, 2014

All HIV-negative menN = 301Meets guidelines for PrEPN = 193

ncolumn %ncolumn %row %p-value*
Age<0.001
 18–243010.02412.480.0
 25–3412140.28745.171.9
 35–446120.34322.370.5
 45–545417.92915.053.7
 55+3511.6105.228.6

Race/ethnicity0.13
 Asian227.4147.363.6
 Black186.0136.772.2
 Hispanic7625.44724.461.8
 White16454.810554.464.0
 Other62.010.0516.7
 Mixed134.3115.784.6

Education0.38
 Grade 12 or lower4113.62613.563.4
 Some college9029.96433.271.1
 Bachelor’s degree10334.26131.659.2
 Any post-graduate studies6722.34221.862.7

Income per year (USD)0.77
 $0 – $25,0007424.85025.967.6
 $25,001 – $50,0006521.84121.263.1
 >$50,00015953.410051.862.9

Health insurance0.14
 Yes26487.716585.562.5
 No3712.32814.575.7

Fisher exact test for meeting vs. not meeting guidelines for PrEP use

Profile of PrEP users among MSM eligible for PrEP, San Francisco, 2014

Per cent using PrEPpRisk ratio (95 % CI)Adjusted risk ratio (95 % CI)*
Age group (years)0.04
 18–240.00.0 (NA)0.0 (NA)
 25–3412.60.4 (0.1, 1.3)0.6 (0.2, 1.9)
 35–4423.30.8 (0.3, 2.3)1.1 (0.4, 3.3)
 45–5413.80.5 (0.1, 1.7)0.6 (0.2, 2.0)
 55+30.0ReferenceReference

Race/ethnicity0.02
 Asian7.10.3 (0.0, 2.1)0.4 (0.1, 2.8)
 Black7.70.3 (0.0, 2.3)0.3 (0.0, 2.4)
 Hispanic4.30.2 (0.0, 0.8)0.2 (0.0, 0.8)
 Other0.00.0 (NA)0.0 (NA)
 White22.9ReferenceReference
 Mixed0.00.0 (NA)0.0 (NA)

Education0.26
 Grade 12 or lower3.8ReferenceReference
 Some college12.53.2 (0.4, 24.7)1.7 (0.2, 13.3)
 Bachelor’s degree18.04.7 (0.6, 34.5)1.8 (0.2, 13.3)
 Any post-graduate19.05.0 (0.7, 37.4)1.5 (0.2, 12.6)

Annual income0.18
 $0–25,00012.0ReferenceReference
 $25,000–50,0007.30.6 (0.2, 2.3)0.5 (0.1, 2.2)
 $50,000+19.01.6 (0.7, 3.7)1.0 (0.4, 2.1)

Have health insurance1.00
 Yes14.51.0 (0.4, 2.7)0.9 (0.3, 2.4)
 No14.3ReferenceReference

Adjusted for age and race (model for association with age is adjusted for race while model for association with race is adjusted for age).

Abbreviations: CI, confidence interval; NA, not applicable.

KEY POINTS

In the first two years after licensure for preventing HIV infection, Pre-exposure prophylaxis (PrEP) was being used by 9.3 % of HIV-negative MSM in San Francisco.

PrEP was less likely to be used by MSM of colour, particularly Black and Hispanic, and by younger MSM.

The emerging pattern of PrEP use may foreshadow a further widening disparity in HIV prevalence amongst MSM of colour in the US unless measures to reach these populations are prioritised.