Abstract
Introduction
HIV pre‐exposure prophylaxis (PrEP) is effective in preventing HIV transmission. United States Public Health Service (USPHS) clinical practice guidelines define biobehavioral indications for initiation. To assess guideline implementation, it is critical to quantify PrEP nonusers who are indicated and PrEP users who are not indicated. We sought to estimate current PrEP use among US men who have sex with men (MSM), characterize whether their PrEP use aligned with their current indications for PrEP, and assess whether the association between PrEP indications and PrEP use differed by demography or geography.
Methods
Using data from a US web‐based sexual network study of MSM between 2017 and 2019, we measured PrEP usage and assessed whether respondents met indications for PrEP. Log‐binomial regression was used to estimate the relationship between PrEP indications and PrEP use, with adjustment for geography, age and race/ethnicity.
Results
Of 3508 sexually active, HIV‐negative MSM, 34% met indications for PrEP. The proportion with current PrEP use was 32% among MSM meeting indications and 11% among those without indications. Nearly 40% of those currently using PrEP did not meet indications for PrEP, and 68% of MSM with indications for PrEP were not currently using PrEP. After adjusting for geography and demographics, MSM with PrEP indications were about three times as likely to be currently using PrEP. This association varied slightly, but not significantly, by geographic region, age and race/ethnicity.
Conclusions
Indications for PrEP strongly predicted current PrEP use among US MSM. However, we identified substantial misalignment between indications and use in both directions (indicated MSM who were not benefitting from PrEP, and MSM taking PrEP while not presently being indicated). PrEP underuse by those at greatest risk for HIV acquisition may limit the projected impact of PrEP implementation, despite reported increases in PrEP provision. This calls for further implementation efforts to improve PrEP delivery to those most in need during periods of elevated sexual risk and to close the gap between indications and uptake.
Keywords: HIV, pre‐exposure prophylaxis, prevention, men who have sex with men
1. INTRODUCTION
Despite biomedical advances in human immunodeficiency virus (HIV) prevention with antiretroviral pre‐exposure prophylaxis (PrEP), the burden of HIV among men who have sex with men (MSM) remains high [1]. MSM are a high‐priority risk group for PrEP use based on their behavioral and biological risk factors [2, 3]. The United States Public Health Service (USPHS), a governmental public health agency, produces clinical guidelines for health care providers, most recently updated in 2017, which define specific biobehavioral indications for PrEP prescription for MSM [4].
PrEP is a key part of HIV strategy globally. In the United States, PrEP is available through multiple mechanisms including national and state health insurance programs covering health care costs for those with low income, private insurance plans, programs for those without health insurance and copay assistance from the drug manufacturer or US states [5, 6]. In 2019, the US Preventive Services Task Force, a body that reviews research and provides recommendations about evidence‐based clinical practices, gave PrEP the highest possible recommendation, which, under US law, prevents insurers from charging patients out‐of‐pocket costs for the medication or other associated clinic visits and laboratory tests [7, 8].
The population prevention impact of PrEP depends on coverage, or the proportion of indicated persons who use PrEP. Mathematical models and ecologic implementation data have estimated the association between PrEP coverage and lower HIV incidence [9] and diagnosis rates among MSM [10]. Data through the mid‐2010s indicated that only a small fraction of sexually active US MSM were estimated to be using PrEP [11, 12, 13], though uptake has increased over the past few years, with two recent estimates placing uptake among eligible MSM at 20% [14] and 35% [15]. Various factors, such as access to health care [16], likely contribute to sub‐optimal PrEP coverage. There is some evidence that patient‐perceived HIV risk may underestimate clinical assessments of HIV risk and eligibility for PrEP [17]. It is critical to characterize the group of MSM with indications for PrEP but who are not using it.
To achieve maximum prevention benefits under financial constraints, PrEP implementation efforts must also consider efficiency. Efficient delivery of PrEP means a low number needed to treat (NNT, quantified as person‐time on PrEP) to avert one new infection. Maximally efficient intervention targeting scenarios, which deliver interventions only to a group who would optimally benefit from it, have an NNT approaching 1. PrEP use in some groups of MSM who are at low likelihood of acquiring HIV (either through their own behavior or as a function of their epidemiological context) could substantially reduce PrEP efficiency while having a minimal impact on HIV incidence [9]. PrEP medication supplies are not currently limited and care rationing is unlikely, however use of PrEP clinical services by MSM not indicated for PrEP may also limit the potential efficacy of PrEP implementation.
In this study, we explore the two ‘off‐diagonal’ scenarios in the PrEP indication and uptake matrix: those who are indicated for PrEP but not using it, and those who are not indicated for PrEP but using it. Although the indications in the guidelines have imperfect sensitivity and specificity in capturing MSM who may be at risk for HIV acquisition, examining this misalignment may be the first step towards their re‐evaluation. It is particularly important to determine whether these associations differ among key MSM sub‐groups (geography, race/ethnicity, age) commonly studied in HIV prevention research to understand how misalignment may contribute to or correlate with differential HIV incidence and PrEP use.
Our primary research aims were to estimate the proportions of US MSM currently using PrEP compared to their indications, to quantify the strength of the association between indications and use and to better characterize whether any misalignment could be explained by or differ among sub‐groups. We hypothesized that PrEP indications would strongly predict PrEP use for US MSM, but that any misalignment between indications and use could vary by geography age, or race/ethnicity.
2. MATERIALS AND METHODS
2.1. Study design
We used data from the ARTnet study of cis‐gender US MSM for this analysis. The complete methods for ARTnet have been described previously [18, 19]. ARTnet was a web‐based sexual network study seeking to characterize sexual partnership networks among and engagement in HIV prevention services by MSM in the United States. Eligibility included any lifetime history of male‐male sex and age between 15 and 65 years. ARTnet participant data were linked to the participant's responses from the American Men's Internet Study (AMIS), a larger web‐based HIV behavioral survey [20] and then de‐duplicated. Study procedures were completed between 2017 and 2019. The Emory University Institutional Review Board approved the study protocol. The main study procedure was an online survey, which was hosted on a Health Insurance Portability and Accountability Act (HIPAA)‐compliant web platform (SurveyGizmo, Boulder, CO).
2.2. PrEP use
Two measures were used to calculate PrEP use. All participants reported a negative result on their last HIV test were provided with a short description of PrEP as an antiretroviral pill (Truvada), which could be taken every day to reduce a person's chance of getting HIV. Participant lifetime use of PrEP was then measured by the question ‘Have you ever taken PrEP (i.e., Truvada)?’ with participants who responded affirmatively also having current PrEP uptake assessed by the question: ‘Are you currently taking PrEP (i.e. Truvada)?’
2.3. PrEP indications and covariates
Survey data were used to evaluate whether participants reported behaviors that met indications under the updated clinical provider practice guidelines for PrEP prescription [4]. These measures included the number of recent sexual partners and additional individual‐ and partnership‐level information for up to the five most recent partners reported in the year prior to survey completion. These measures included: whether the partnership was with a main, casual, or one‐time partner, the dates of the partnership (start, end, most recent sexual activity, whether the participant thought that the relationship would continue), what sexual activities occurred with each partner (anal/oral intercourse, frequency of sexual acts sexual role and positioning), whether the participant and partner were using PrEP or anti‐retroviral therapy or condoms, and the respondent and partner's histories of a sexually transmitted infection (STI) diagnosis.
Two study sub‐populations were defined for the analysis. The first, referred to as PrEP‐eligible MSM, includes all MSM who reported being HIV‐negative and have been sexually active with another man in the prior 12 months. The subset of PrEP‐eligible MSM who met all indications for PrEP [4] was then defined, referred to hereafter as PrEP‐indicated MSM. To be categorized as indicated, participants had to: (1) report their most recent HIV test as negative; (2) not be in a monogamous partnership (per respondent definition) with an HIV‐negative partner; (3) report anal intercourse with another man in the prior 6 months; and (4) report either any condomless anal intercourse (CAI) with another man in the prior 6 months or a diagnosis of gonorrhea, chlamydia or syphilis in the prior 6 months. The guidelines for PrEP indications also include being aged 18 or older, but we excluded that in this analysis to better evaluate eligibility based on behavior among 15‐ to17‐year‐old respondents.
Participant‐reported survey data were collected for other covariates. Participant‐reported ZIP codes were matched to one of four census regions (South, Midwest, Northeast West) [21], while reported race/ethnicity was grouped into four categories: Non‐Hispanic Black, Non‐Hispanic White, Hispanic, Other race/ethnicity. Additionally, reported ages were grouped into categories: 15–17; 18–24; 25–34; 35–44; 45–54 and 55–65.
2.4. Statistical analysis
For our exploratory analysis, we present descriptive analyses of persons indicated for and using PrEP by demographic category using proportions and standard deviations. To quantify the association between PrEP indications and use, we selected a primary exposure of having USPHS indications for PrEP with a primary outcome of current PrEP use. We used log‐binomial regression models to quantify this association using prevalence ratios (PR) and 95% confidence intervals (CI). After calculating the crude association, we estimated the multivariable PRs after adjustment for race/ethnicity, age category and geography. We also evaluated how the association between PrEP indications and current PrEP use might differ when stratified by demographic categories. All data analysis was performed in R 3.4 [22].
3. RESULTS
Of the 3508 PrEP‐eligible men included in the analysis, 631 (18%) reported currently using PrEP and 2877 (82%) reported not currently using PrEP. Table 1 summarizes current PrEP use by the presence of indications for its use. More than one‐third (34.0%) met indications for PrEP. More than one‐half (61.0%) of those currently taking PrEP met indications for PrEP, while 39.0% of current PrEP users did not. One‐third (n = 385, 32.2%) of PrEP‐indicated MSM reported currently using PrEP. Of the 2314 MSM who did not meet indications for PrEP, 246 (10.6%) were currently using PrEP. In total, nearly one‐third (30.1%) of the 3508 PrEP‐eligible MSM had PrEP usage misaligned with their current indications: 7.0% (n = 246) of PrEP‐eligible MSM were currently using PrEP despite not meeting indications for PrEP and 23.1% (n = 809) of PrEP‐eligible MSM were not using PrEP despite meeting indications for PrEP.
Table 1.
Current PrEP Use | Not Currently Using PrEP | Total | |
---|---|---|---|
Meets Indications for PrEP** (Col%) | 385 (61.0) | 809 (28.1) | 1194 (34.0) |
Does Not Meet Indications for PrEP (Col%) | 246 (39.0) | 2068 (71.9) | 2314 (66.0) |
Total (Row%) | 631 | 2877 | 3508 |
PrEP‐Eligible: (1) HIV‐negative; and (2) Sexually active with a man in the past 12 months.
Meet all US Public Health Service indications for PrEP (Base + either recent condomless anal intercourse or recent STI)—note: excludes 18+ indication for those aged 15–17 (n = 25).
Table 2 summarizes current PrEP usage by demographic characteristics and PrEP indication status. Geographically, current PrEP use among indicated MSM differed significantly by geography, with use lowest in the South (28.7%) and greatest in the West (38.4%). PrEP use increased with age, with lowest use among 15–17 (16.7%) and 18‐ to 24‐year‐old MSM (14.1%) and increasing use in age groups greater than 24 years, culminating in highest PrEP use (38.1%) among 45‐ to 54‐year‐old MSM. Among MSM meeting indications for PrEP, there was no significant variation in current PrEP use by race/ethnicity, with use lowest among Hispanic MSM (30.2%). Among MSM not meeting indications for PrEP, PrEP usage was greatest among non‐Hispanic White (11.1%), Northeast (11.7%) and 45‐ to 54‐year‐old (14.9%) MSM, though these proportions differed significantly only by age category.
Table 2.
Meeting indications for PrEP** | Not meeting indications for PrEP | ||||||
---|---|---|---|---|---|---|---|
Total | Current PrEP use | Not using PrEP | Total | Current PrEP use | Not using PrEP | Current PrEP users Meet | |
N | N (Row%) | N (Row%) | N | N (Row%) | N (Row%) | indications % | |
Overall | 1194 | 385 (32.2) | 809 (67.8) | 2314 | 246 (10.6) | 2068 (89.4) | 61.0 |
US Census Region | p = 0.04 | p = 0.55 | p = 0.55 | ||||
Northeast | 214 | 71 (33.2) | 143 (66.8) | 436 | 51 (11.7) | 385 (88.3) | 58.2 |
Midwest | 252 | 75 (29.8) | 177 (70.2) | 440 | 51 (11.6) | 389 (88.4) | 59.5 |
South | 418 | 120 (28.7) | 298 (71.3) | 853 | 81 (9.5) | 772 (90.5) | 59.7 |
West | 310 | 119 (38.4) | 191 (61.6) | 585 | 63 (10.8) | 522 (89.2) | 65.4 |
Age Category | p < 0.01 | p < 0.01 | p < 0.01 | ||||
15–17** | 6 | 1 (16.7) | 5 (83.3) | 19 | 0 (0.0) | 19 (100.0) | 100.0 |
18–24 | 213 | 30 (14.1) | 183 (85.9) | 551 | 40 (7.3) | 511 (92.7) | 42.9 |
25–34 | 331 | 118 (35.6) | 213 (64.4) | 693 | 81 (11.7) | 612 (88.3) | 59.3 |
35–44 | 205 | 76 (37.1) | 129 (62.9) | 342 | 44 (12.9) | 298 (87.1) | 63.3 |
45–54 | 252 | 96 (38.1) | 156 (61.9) | 349 | 52 (14.9) | 297 (85.1) | 64.9 |
55–65 | 187 | 64 (34.2) | 123 (65.8) | 360 | 29 (8.1) | 331 (91.9) | 68.8 |
Race/Ethnicity | p = 0.95 | p = 0.68 | p = 0.80 | ||||
Non‐Hispanic White | 871 | 284 (32.6) | 587 (67.4) | 1705 | 189 (11.1) | 1516 (88.9) | 60.0 |
Non‐Hispanic Black | 49 | 16 (32.7) | 33 (67.3) | 104 | 10 (9.6) | 94 (90.4) | 61.5 |
Hispanic | 172 | 52 (30.2) | 120 (69.8) | 302 | 27 (8.9) | 275 (91.1) | 65.8 |
Other | 102 | 33 (32.4) | 69 (67.6) | 203 | 20 (9.9) | 183 (90.1) | 62.3 |
PrEP‐Eligible: (1) HIV‐negative; and (2) Sexually active with a man in the past 12 months.
Meet all US Public Health Service indications for PrEP (Base + either recent condomless anal intercourse or recent STI)—note: excludes 18+ indication for those aged 15–17 (n = 25).
** Meet all USPHS indications for PrEP (Base + either recent condomless anal intercourse or recent STI)—note: excludes 18+ indication for those aged 15–17 (n = 25).
p‐values are for Chi‐Square test.
Table 2 also includes the proportion of current PrEP users meeting PrEP indications by category. The proportion meeting PrEP indications varied little by race/ethnicity, ranging from 60.0% among non‐Hispanic White MSM to 65.8% of Hispanic MSM. PrEP‐using MSM in the West (65.4%) were the only geographic sub‐group where the percentage meeting indications for PrEP exceeded the overall average (61.0%). Younger PrEP‐using MSM were less likely to meet indications for PrEP, apart from the small 15‐ to 17‐year‐old cohort, with proportions increasing significantly by age.
In crude regression analyses, MSM who met indications for PrEP were 3.03 (CI: 2.63, 3.51) times as likely as those not meeting indications to be currently taking PrEP (Table 3). In crude analyses, only MSM in the West were significantly more likely than Southern MSM to be using PrEP (PR = 1.29, CI: 1.07, 1.54). The likelihood of current PrEP use increased 1.12 times (CI: 1.07, 1.18) with a 10‐year increase in age. The relative prevalence of current PrEP use among non‐White participants was marginally lower (from 5 to 9% lower) than White participants in crude analyses but these estimates did not differ significantly. The association between PrEP indications and PrEP use was not explained by the covariates, changing little (PR = 2.98) after adjustment for geography, age and race/ethnicity.
Table 3.
Correlate | Crude prevalence ratio (95% CI) | Adjusted prevalence ratio (95% CI) |
---|---|---|
PrEP Indications | ||
Meet Indications for PrEP | 3.03 (2.63, 3.51) | 2.98 (2.59, 3.45) |
Census Region | ||
Northeast | 1.19 (0.97, 1.45) | 1.18 (0.97, 1.43) |
Midwest | 1.15 (0.94, 1.41) | 1.10 (0.90, 1.33) |
South | — | — |
West | 1.29 (1.07, 1.54) | 1.30 (1.09, 1.55) |
Age | ||
Age (10‐year increase) | 1.12 (1.07, 1.18) | 1.10 (1.04, 1.15) |
Race/Ethnicity | ||
Non‐Hispanic White | — | — |
Non‐Hispanic Black | 0.93 (0.63, 1.29) | 1.02 (0.70, 1.40) |
Hispanic | 0.91 (0.72, 1.12) | 0.93 (0.97, 1.15) |
Other | 0.95 (0.72, 1.21) | 0.98 (0.75, 1.24) |
CI: Confidence Interval |
When evaluating how stratified analysis might affect the association between PrEP indications and PrEP use, we found that the regression point estimates for the magnitude of association varied when limited to specific sub‐groups, but the CIs were overlapping (Table 4). The estimate of the association was greatest among MSM in the West (PR: 3.56) and weakest in the Midwest (PR: 2.57). When evaluating the relationship between PrEP indications and PrEP use among racial/ethnic participant sub‐groups, the magnitude of association was greatest among non‐Hispanic Black (PR: 3.40) and Hispanic (PR: 3.38) participants and weakest among White participants (PR: 2.94).
Table 4.
Correlate | Crude prevalence ratio (95% CI) |
---|---|
Census Region | |
Northeast | 2.84 (2.07, 3.93) |
Midwest | 2.57 (1.87, 3.56) |
South | 3.02 (2.35, 3.92) |
West | 3.56 (2.73, 4.71) |
Race/Ethnicity | |
Non‐Hispanic White | 2.94 (2.50, 3.47) |
Non‐Hispanic Black | 3.40 (1.69, 7.24) |
Hispanic | 3.38 (2.23, 5.26) |
Other | 3.28 (2.01, 5.54) |
All prevalence ratios represent the crude log‐binomial regression estimates for the association between PrEP indications and current PrEP use (Crude Ratio for entire study population: 3.03 (2.63, 3.51)).
4. DISCUSSION
In this study, we found evidence of substantial misalignment between the US Public Health Service indications for PrEP and current PrEP use among PrEP‐eligible MSM. Having indications for PrEP strongly predicted PrEP use, but nearly one‐third of PrEP‐eligible MSM had possible misalignment between indications and use. The misalignment was greater for MSM indicated for PrEP but not using it (underuse) compared to MSM not indicated for PrEP but using it. Overall, 68% of PrEP‐indicated MSM (23% of all PrEP‐eligible MSM) were not using PrEP, and 39% of MSM currently using PrEP (7% of all PrEP‐eligible MSM) were not indicated for PrEP. This suggests overall that PrEP underuse remains a public health priority in the United States, with continued efforts needed to close the gap between indications and uptake.
Across all demographic and geographic sub‐groups, there was a sizeable pool of PrEP‐eligible US MSM who met indications for, but were not currently taking, PrEP. Control of the HIV epidemic with PrEP depends on a relatively high level of coverage [9, 10], but persistent PrEP underuse among at‐risk MSM could limit the possibility of meeting national and local HIV prevention goals in the United States [5] or in any other setting. Our finding, that a significant number of MSM meeting biobehavioral indications, indicating increased risk for HIV acquisition, were not using PrEP aligns with previous work focusing on the interaction of eligibility and use [23]. Using the framework of a PrEP care continuum [24, 25], many individual‐ and structural‐level barriers may limit otherwise suitable candidates from benefitting from using the medication. These include patient barriers such as decreased HIV risk perception [17] as well as provider barriers (lack of knowledge, stigma, and concerns about cost, behavior or adherence) described in a recent review [26]. These barriers, however, highlight potential points of interventions to improve access, use, adherence and persistence on PrEP [12, 27, 28].
A large percentage (38%) of MSM in this study who currently used PrEP did not presently report indications for its use. Previous modeling has shown that the efficiency of PrEP (e.g. number needed to treat) for both HIV and associated prevention (STI screening) depends on the target population, with decreased efficiency, and efficacy in some cases, when PrEP is provided to individuals who are at lower risk [9, 29]. Theoretically, though never observed, use of PrEP by those presently without behavioral indications, or a ‘worried well’ population, requires societal resources (in terms of public and private funding of medications via health care insurance payments) and use of clinical services that may not generate as large of a clinical benefit. Though social desirability bias could play a role in potential under‐reporting of HIV status or risk behaviors, the 1 in 10 non‐indicated MSM who were using PrEP represent a potential intervention target for further patient or provider education that reflects the dynamic nature of behavior and indications for PrEP. To the hypothesis that provider and patient knowledge of PrEP and HIV risk can be improved, the guidelines for PrEP indications provide a benchmark for how PrEP determination can be assessed [30]. An informed discussion with a provider about PrEP being one tool among other proven risk reduction strategies, such as on‐demand PrEP (2:1:1) [31, 32] or PEP or condom usage, could be important for MSM not currently meeting indications, but this relies on ensuring trust between patients and providers to obtain an accurate sexual history [28]. As global PrEP scale‐up continues, it is essential that resources be focused to those who may benefit the most from PrEP, including associated services such as counseling and regular STI screening, and may face the greatest barriers to uptake.
Few other assessments are able to concurrently present PrEP indications and eligibility alongside PrEP use [14, 15, 33]. Current PrEP uptake estimates among eligible MSM in this study (32.2%) tracked closely with recent estimates of PrEP uptake the prior year among US MSM likely meeting PrEP indications (HIV‐negative with either a HIV‐positive partner or multiple male partners and either CAI or a recent STI) in major metropolitan areas surveyed through National HIV Behavioral Surveillance (NHBS) [15]. These estimates among indicated MSM exceed reports of prior‐year PrEP use among surveyed US MSM in the American Men's Internet Survey (19.9%) and NHBS (25.0%) [14, 33]. Although these studies may differ in mode of data collection (online vs. in‐person) as well as different sampling frames (e.g. urban MSM), these findings, in addition to the ubiquity of internet access among US residents [34] and the experiences of large internet‐based surveys of sexual behaviors among MSM [35], support the use of web‐based studies in providing feasible, cost‐effective estimates of PrEP indications and uptake among MSM to complement in‐person or database‐driven estimates. Globally, PrEP initiation and uptake has been greatest in locations where it was adopted early, supported nationally and provided alongside other key services [38]. These estimates are specific to the evaluation of the USPHS guidelines in the United States and may differ from international or country‐specific PrEP eligibility guidelines in other countries that may differ in sensitivity or specificity by measuring risk in different ways [36, 37]. Web‐based studies or other assessments can help to assess the applicability of these findings in other settings.
Given the observed gaps in both HIV incidence and PrEP use among MSM of color, particularly black and Hispanic MSM, assessing the association between PrEP indications and PrEP use matters for work toward disparity reduction. Previous research has demonstrated that an equal or greater proportion of people of color in the United States, compared to White people, meet indications for PrEP [11], but make up only a small fraction of PrEP prescriptions [39]. MSM of color have seen HIV diagnosis rates remain stable or increase while rates decreased among White MSM [1], have lower comparative levels of PrEP use [33], and, in some studies, persons of color were less likely to be indicated for or receive PrEP [40]. In our analysis, the magnitude of association between PrEP indications and current PrEP use was greatest when limited to non‐Hispanic Black or Hispanic participants, possibly indicating lesser misalignment (or greater efficiency) between the guidelines and use in these groups. The significance of this finding deserves further investigation, as it does not necessarily align with studies that have found difficulty translating interest into uptake [41] and a lagged awareness of PrEP and HIV prevention in these same populations [42]. Multiple explanations likely contribute to this context, including potential individual (behavioral, psychological, risk perception, stigma, medical mistrust, self‐efficacy) [17, 27, 43] and structural (insurance, cost, access to care, health utilization) barriers to accessing and using PrEP for Black and other MSM of color that may reduce uptake and lead to decreased sensitivity of the guidelines in assessing HIV acquisition risk [44].
Given the high HIV burden and challenges with accessing healthcare in the US South, we hypothesized that PrEP use there would be lower than in other regions. The highest rates of HIV diagnosis are in the US South [1], as well as the lowest levels of PrEP use [45, 46, 47]. PrEP clinics are unevenly distributed across the United States [48], and the current number of clinics in the South may not be able to support the estimated need for PrEP [49]. In this study, PrEP‐eligible and PrEP‐indicated MSM in the US South reported the lowest levels of current PrEP usage, though the pattern was not dissimilar from other regions. As a crude measure of regional differences, the magnitude of the association between PrEP indications and use varied more geographically than when stratified by other characteristics. These crude measures may be influenced by other variables (possibly race/ethnicity), and likely need further exploration to determine their importance and whether they further highlight additional barriers to starting PrEP, particularly given region‐specific structural and individual barriers to PrEP uptake. A recent review of PrEP implementation strategies in the South highlighted a number of individual and structural factors, including a greater rural population, lesser access to PrEP care, fewer insured individuals, lower health literacy and HIV risk perception, and greater anti‐HIV, anti‐gay, and PrEP stigma, that likely influence PrEP uptake in the South [50]. Barriers to PrEP are not unique to the South; the estimated association between indications and use was weakest in the Midwest, where many of the same factors, such as stigma and limited access to PrEP care and information [51, 52], and some additional ones, such as rurality [51], may limit potential PrEP uptake. Novel implementation strategies, such as telemedicine‐based PrEP to better reach people in rural areas in the US [53, 54] or consideration of networks and social capital [55, 56], may be necessary to try to offset the barriers observed for PrEP uptake in the South, Midwest and indeed everywhere in the US.
4.1. Limitations
This analysis has some limitations. These data represent a convenience sample of MSM recruited online from across the United States and are not representative of all MSM including potential under‐representation of racial and ethnic minority MSM [57]. Ideally, these results could be interpreted in the context of other representative samples of US MSM, but none exist. However, we conducted stratified analysis by three core factors (race, age geography) in which there may be imbalances to better estimate group‐specific outcomes. With the assumption of conditional exchangeability, this partially alleviates this issue. In any online study, such as ARTnet, social desirability bias or reluctance to disclose personal information may be a factor, potentially resulting in overestimation of desirable prevention behaviors such as PrEP uptake or under‐reporting of HIV status or risk behaviors (and thus PrEP‐eligible MSM). Our use of the most recent HIV test result to determine HIV status could underestimate the proportion of MSM with indications for PrEP by undercounting MSM who are truly at‐risk (sexually active) but have not recently tested or ever have been tested. Finally, these data were limited to an ‘Other’ race/ethnicity category, but further analyses should ensure that race/ethnicity is explored in a more nuanced way.
5. CONCLUSIONS
Routine monitoring of PrEP uptake is needed to measure progress toward and gaps in PrEP coverage. Current PrEP uptake among US MSM tracked with prior estimates and meeting PrEP indications was strongly associated with current PrEP usage. However, there are populations of MSM who are indicated for but not using PrEP, as well as MSM who are using PrEP while not currently meeting the indications. The relative importance of behavioral indications and demographic differences in PrEP uptake highlight potential barriers to and gaps in implementing PrEP, both in the United States and globally, which will need to be addressed to meet PrEP's full potential to reduce new infections, particularly given efforts to both scale‐up and address structural barriers to accessing PrEP in the United States.
COMPETING OF INTERESTS
The authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent‐licensing arrangements), or non‐financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
AUTHORS’ CONTRIBUTIONS
KMW and SMJ developed and executed the study, conducted the analyses and wrote the manuscript. SMG provided input on the study design, provided critical input on the analysis and critically reviewed and edited the manuscript. PP and TS provided input on the study design and critically reviewed and edited the manuscript.
FUNDING
This work was supported by National Institutes of Health Grants R21 MH112449 and a Grant from the MAC AIDS Fund.
ACKNOWLEDGEMENTS
We thank the ARTnet study participants for giving of their time. We thank the National Institutes of Health and the MAC AIDS Fund for their support.
DATA AVAILABILITY STATEMENT
Data are available from the senior author upon request.
REFERENCES
- 1.CDC . Centers for Disease Control and Prevention. HIV Surveillance Report, 2017;29. 2018. [Google Scholar]
- 2.Grant RM, Lama JR, Anderson PL, McMahan V, Liu AY, Vargas L, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363(27):2587–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Volk JE, Marcus JL, Phengrasamy T, Blechinger D, Nguyen DP, Follansbee S, et al. No new HIV infections with increasing use of HIV preexposure prophylaxis in a clinical practice setting. Clin Infect Dis. 2015;61(10):1601–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.US Public Health Service . Preexposure prophylaxis for the prevention of HIV infection in the United States—2017 Update: A clinical practice guideline. 2018.
- 5.Fauci AS, Redfield RR, Sigounas G, Weahkee MD, Giroir BP. Ending the HIV epidemic. JAMA. 2019;321(9):844. [DOI] [PubMed] [Google Scholar]
- 6.MHAF . Office of Infectious Disease and HIV/AIDS Policy H. Ready, Set, PrEP, 2019.
- 7.US Preventive Services Task Force, Owens DK, Davidson KW, Krist AH, Barry MJ, Cabana M, et al. Preexposure prophylaxis for the prevention of HIV infection. JAMA. 2019;321(22):2203. [DOI] [PubMed] [Google Scholar]
- 8.Federal Register .Patient Protection and Affordable Care Act: 26 CFR §54.9815‐2713. Federal Register, 26 CFR §54.9815‐2713 2015.
- 9.Jenness SM, Goodreau SM, Rosenberg E, Beylerian EN, Hoover KW, Smith DK, et al. Impact of the Centers for Disease Control's HIV preexposure prophylaxis guidelines for men who have sex with men in the United States. J Inf Dis. 2016;214(12):1800–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Smith DK, Sullivan PS, Cadwell B, Waller LA, Siddiqi A, Mera‐Giler R, et al. Evidence of an association of increases in pre‐exposure prophylaxis coverage with decreases in human immunodeficiency virus diagnosis rates in the United States, 2012–2016. Clin Infect Dis. 2020; 71:3144‐3151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Smith DK, Van Handel M, Grey J. Estimates of adults with indications for HIV pre‐exposure prophylaxis by jurisdiction, transmission risk group, and race/ethnicity, United States, 2015. Ann Epidemiol. 2018;28(12):850–7. [DOI] [PubMed] [Google Scholar]
- 12.Parsons JT, Rendina HJ, Lassiter JM, Whitfield THF, Starks TJ, Grov C. 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):285–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hoots BE, Finlayson T, Nerlander L, Paz‐Bailey G. 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;63(5):672–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.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;23(3):e25461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Finlayson T, Cha S, Xia M, Trujillo L, Denson D, Prejean J, et al. 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;68(27):597–603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Pérez‐Figueroa RE, Kapadia F, Barton SC, Eddy JA, Halkitis PN. Acceptability of PrEP uptake among racially/ethnically diverse young men who have sex with men: The P18 Study. AIDS Educ Prev. 2015;27(2):112–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lockard A, Rosenberg ES, Sullivan PS, Kelley CF, Serota DP, Rolle C‐PM, et al. Contrasting self‐perceived need and guideline‐based indication for HIV pre‐exposure prophylaxis among young, Black men who have sex with men offered pre‐exposure prophylaxis in Atlanta, Georgia. AIDS Patient Care STDs. 2019;33(3):112–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Weiss KM, Prasad P, Ramaraju R, Zlotorzynska M, Jenness SM. Estimated number of men who have sex with men with indications for HIV pre‐exposure prophylaxis in a national sexual network study. J Acquir Immune Defic Syndr. 2020;84:10–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Weiss KM, Goodreau SM, Morris M, Prasad P, Ramaraju R, Sanchez T, et al. Egocentric sexual networks of men who have sex with men in the United States: Results from the ARTnet study. Epidemics. 2020;30:100386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Zlotorzynska M, Sullivan P, Sanchez T. The Annual American men's internet survey of behaviors of men who have sex with men in the United States: 2016 key indicators report. JMIR Public Heal Surveill. 2019;5(1):e11313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.US Census Bureau . US census regions and divisions.
- 22.Computing RF for S . R: A language and environment for statistical computing. Vienna, Austria: RF Café; 2014. [Google Scholar]
- 23.Shover CL, Javanbakht M, Shoptaw S, Bolan RK, Lee SJ, Parsons JT, et al. HIV preexposure prophylaxis initiation at a large community clinic: differences between eligibility, awareness, and uptake. Am J Public Health. 2018;108(10):1408–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kelley CF, Kahle E, Siegler A, Sanchez T, del Rio C, Sullivan PS, et al. Applying a PrEP continuum of care for men who have sex with men in Atlanta, Georgia. Clin Infect Dis. 2015;61(10):1590–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Nunn AS, Brinkley‐Rubinstein L, Oldenburg CE, Mayer KH, Mimiaga M, Patel R, et al. Defining the HIV pre‐exposure prophylaxis care continuum. AIDS. 2017;31(5):731–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.B P, KG Q, JL W, AE P, SA J. Health care provider barriers to HIV pre‐exposure prophylaxis in the United States: A systematic review. AIDS Patient Care STDs. 2020;34(3):111–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.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;29(11):1351–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Mayer KH, Chan PA, Patel R, Flash CA, Douglas S. Krakower DS. Evolving models and ongoing challenges for HIV pre‐exposure prophylaxis implementation in the United States. JAIDS J Acquir Immune Defic Syndr. 2017;77(2):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jenness SM, Weiss KM, Goodreau SM, Gift T, Chesson H, Hoover KW, et al. Incidence of gonorrhea and chlamydia following HIV preexposure prophylaxis among men who have sex with men: A modeling study. Clin Infect Dis. 2017;65(5):712–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mayer KH, Krakower DS. Editorial commentary: Scaling up antiretroviral preexposure prophylaxis: Moving from trials to implementation. Clin Infect Dis. 2015;61(10):1598–600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Antoni G, Tremblay C, Delaugerre C, Charreau I, Cua E, Rojas Castro D, et al. On‐demand pre‐exposure prophylaxis with tenofovir disoproxil fumarate plus emtricitabine among men who have sex with men with less frequent sexual intercourse: A post‐hoc analysis of the ANRS IPERGAY trial. Lancet HIV. 2020;7(2):e113–20. [DOI] [PubMed] [Google Scholar]
- 32.Molina J, Charreau I, Spire B, Cotte L, Chas J, Capitant C, et al. Efficacy, safety, and effect on sexual behaviour of on‐demand pre‐exposure prophylaxis for HIV in men who have sex with men: an observational cohort study. Lancet HIV. 2017;4(9):e402–10. [DOI] [PubMed] [Google Scholar]
- 33.Centers for Disease Control and Prevention . HIV infection risk, prevention, and testing behaviors among men who have sex with men—National HIV Behavioral Surveillance, 23. U.S, 2017. 2019. [Google Scholar]
- 34.Pew Research Center . Demographics of Internet and Home Broadband Usage in the United States, 2019.
- 35.Sanchez TH, Zlotorzynska M, Sineath RC, Kahle E, Tregear S, Sullivan PS. National trends in sexual behavior, substance use and HIV testing among United States men who have sex with men recruited online, 2013 through 2017. AIDS Behav. 2018;22(8):2413–25. [DOI] [PubMed] [Google Scholar]
- 36.Hall EW, Wang L, Huang X, Sullivan PS, Siegler AJ. Assessing the performance of international pre‐exposure prophylaxis (PrEP) eligibility guidelines in a cohort of Chinese MSM, Beijing, China 2009 to 2016. J Int AIDS Soc. 2020;23(12). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.World Health Organization . WHO implementation tool for pre‐exposure prophylaxis (PrEP) of HIV infection. Geneva, Switzerland: WHO; 2017. [Google Scholar]
- 38.Segal K, Fitch L, Riaz F, Rodrigues J, Warren M. The evolution of oral PrEP access: Tracking trends in global oral PrEP use over time. HIV Res Prev. 2021;(Abstract OA11.01). [Google Scholar]
- 39.Huang YA, Zhu W, Smith DK, Harris N, Hoover KW. HIV preexposure prophylaxis, by race and ethnicity—United States, 2014–2016. MMWR Morb Mortal Wkly Rep. 2018;67(41):1147–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pyra M, Rusie LK, Keglovitz Baker K, Baker A, Ridgway J, Schneider J. Correlations of HIV preexposure prophylaxis indications and uptake, Chicago, Illinois, 2015–2018. Vol. 110, American Journal of Public Health. Washington DC: American Public Health Association Inc.; 2020. p. 370–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Rolle C‐P, Rosenberg ES, Siegler AJ, Sanchez TH, Luisi N, Weiss K, et al. Challenges in translating PrEP interest into uptake in an observational study of young Black MSM. JAIDS J Acquir Immune Defic Syndr. 2017;76(3):250–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Eaton LA, Driffin DD, Bauermeister J, Smith H, Conway‐Washington C. Minimal awareness and stalled uptake of pre‐exposure prophylaxis (PrEP) among at risk, HIV‐Negative, Black men who have sex with men. AIDS Patient Care STDs. 2015;29(8):423–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Golub SA, Fikslin RA, Goldberg MH, Peña SM, Radix A. Predictors of PrEP uptake among patients with equivalent access. AIDS Behav. 2019;23(7):1917–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hojilla JC, Vlahov D, Crouch P‐C, Dawson‐Rose C, Freeborn K, Carrico A. HIV Pre‐exposure prophylaxis (PrEP) uptake and retention among men who have sex with men in a community‐based sexual health clinic. AIDS Behav. 2018;22(4):1096–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sullivan PS, Giler RM, Mouhanna F, Pembleton ES, Guest JL, Jones J, et al. Trends in the use of oral emtricitabine/tenofovir disoproxil fumarate for pre‐exposure prophylaxis against HIV infection, United States, 2012–2017. Ann Epidemiol 2018;28(12):833–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Garner W, Wilson BM, Beste L, Maier M, Ohl ME, Van Epps P. Gaps in preexposure prophylaxis uptake for HIV prevention in the veterans health administration. Am J Public Health. 2018;108(S4):S305–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Siegler AJ, Mouhanna F, Giler RM, Weiss K, Pembleton E, Guest J, et al. The prevalence of pre‐exposure prophylaxis use and the pre‐exposure prophylaxis–to‐need ratio in the fourth quarter of 2017, United States. Ann Epidemiol. 2018;28(12):841–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Siegler AJ, Bratcher A, Weiss KM. Geographic access to preexposure prophylaxis clinics among men who have sex with men in the United States. Am J Public Health. 2019; 109:1216‐1223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Siegler AJ, Bratcher A, Weiss KM, Mouhanna F, Ahlschlager L, Sullivan PS. Location location location: An exploration of disparities in access to publicly listed pre‐exposure prophylaxis clinics in the United States. Ann Epidemiol. 2018;28(12):858–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Sullivan PS, Mena L, Elopre L, Siegler AJ. Implementation strategies to increase PrEP uptake in the South. Curr HIV/AIDS Rep. 2019;16:259–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Owens C, Hubach RD, Williams D, Voorheis E, Lester J, Reece M, et al. Facilitators and barriers of pre‐exposure prophylaxis (PrEP) uptake among rural men who have sex with men living in the midwestern U.S. Arch Sex Behav. 2020;49(6):2179–91. [DOI] [PubMed] [Google Scholar]
- 52.Siegler AJ, Bratcher A, Weiss KM. Geographic access to preexposure prophylaxis clinics among men who have sex with men in the United States. Am J Public Health. 2019;109(9):1216–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Siegler AJ, Brock JB, Hurt CB, Ahlschlager L, Dominguez K, Kelley CF, et al. An electronic pre‐exposure prophylaxis initiation and maintenance home care system for nonurban young men who have sex with men: Protocol for a randomized controlled trial. JMIR Res Protoc. 2019;8(6):e13982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Hoth AB, Shafer C, Dillon DB, Mayer R, Walton G, Ohl ME. Iowa TelePrEP: A public‐health‐partnered telehealth model for HIV pre‐exposure prophylaxis (PrEP) delivery in a rural state. Sex Transm Dis. 2019;46:507–512. [DOI] [PubMed] [Google Scholar]
- 55.Fujimoto K, Wang P, Flash CA, Kuhns LM, Zhao Y, Amith M, et al. Network modeling of PrEP uptake on referral networks and health venue utilization among young men who have sex with men. AIDS Behav. 2019;23(7):1698–707. [DOI] [PubMed] [Google Scholar]
- 56.Zarwell M, Ransome Y, Barak N, Gruber D, Robinson WT. PrEP indicators, social capital and social group memberships among gay, bisexual and other men who have sex with men. Cult Health Sex. 2019;21:1349–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Sullivan PS, Khosropour CM, Luisi N, Amsden M, Coggia T, Wingood GM, et al. Bias in online recruitment and retention of racial and ethnic minority men who have sex with men. J Med Internet Res. 2011;13(2):e38. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available from the senior author upon request.