Abstract
Compared to other states in the United States, Mississippi has the lowest uptake of PrEP relative to the number of people newly diagnosed with HIV in the state. Open Arms Healthcare Center is the largest provider of PrEP in Mississippi, and has systematically documented PrEP eligibility, offers, and acceptance (ie, agreed to undergo a clinical PrEP evaluation) from 2017 to mid-2020. In encounter-based analyses, we examined factors associated with PrEP acceptance. Among 721 encounters where patients were eligible for PrEP, staff offered PrEP at 680 (94%) of encounters (526 unique individuals); individuals accepted a PrEP offer at 58% of encounters. Accepting a PrEP offer was lowest (15.8%) among transgender/non-binary individuals and highest (93.3%) among individuals who reported having sex partners living with HIV. This clinic's model worked to offer PrEP to a highly impacted population, though there is a need to enhance PrEP acceptance for key groups such as transgender/non-binary individuals.
Keywords: pre-exposure prophylaxis, HIV, health services, Mississippi
Introduction
Despite evidence demonstrating the efficacy of oral pre-exposure prophylaxis (PrEP) for HIV prevention, uptake in the United States (US) has been slow, with only an estimated 23% of eligible persons using PrEP in 2019. 1 Low PrEP coverage is especially pronounced in the Southern US, a region where HIV incidence is the highest in the country, and among Black individuals, a population that continues to bear a disproportionally high burden of HIV.1–5 In fact, in 2019 only an estimated 8% of Black individuals with a PrEP indication were prescribed PrEP, compared to 63% of white individuals. 1
There is a growing body of literature examining factors associated with PrEP acceptance and uptake. Acceptance and uptake have consistently been found to be associated with PrEP awareness, although this association differs based on the study population's gender identity.6–16 Factors such as age, race, number of sex partners, frequency of condom use, relationship status, gender identity, having partners living with HIV or of unknown status, and history of STI have been consistently associated with PrEP acceptance and uptake, but the direction and magnitude of these associations varies widely across studies.6,8–13,15,17 There is still a key gap in our knowledge of factors associated with accepting a PrEP offer in a clinical setting, including a dearth of this type of information from the Southern US.
Mississippi has the sixth highest rate of HIV diagnosis in the US and is one of seven states identified by the US Ending the HIV Epidemic (EHE) initiative as being a geographic hotspot of HIV.4,18 Despite high rates of new HIV diagnosis, only one in five individuals with indications for PrEP use were prescribed PrEP in 2019, 1 and Mississippi has the lowest PrEP-to-Need Ratio in the US3,19 (ie, the lowest number of PrEP users per new HIV diagnosis). Yet we know little about factors associated with PrEP acceptance in clinical settings in Mississippi. This information can help guide PrEP providers to modify their approach to PrEP provision.
Open Arms Healthcare Center, located in Jackson, Mississippi, is the largest PrEP provider in the state. Open Arms systematically documents PrEP eligibility, offers, and acceptance among those seeking care in the clinic, providing a unique opportunity to examine PrEP acceptance and factors associated with acceptance among a population of patients who were eligible and offered PrEP by clinic staff. The objectives of this analysis were to determine acceptance of PrEP and factors associated with acceptance among patients attending Open Arms.
Methods
Study Design, Setting, and Population
This study was a cross-sectional study using data from Open Arms Healthcare Center, located in Jackson, Mississippi. Open Arms provides holistic healthcare (eg, sexual and reproductive healthcare, general medicine, behavioral health, social services, etc) to underserved, underinsured, and underrepresented populations, and aims to provide LGBT people of color culturally competent care in a safe environment. The clinic has offered PrEP to patients since October 2014.
Details on the clinic's PrEP program have been previously described.20,21 Per routine clinical protocol, all patients—including those who preset to the clinic for reasons other than sexual healthcare—complete a health assessment that includes information on sexual behavior and sexual partners. The information is reviewed by clinic staff performing the patient's HIV test to determine whether or not the patient is eligible for PrEP. Clinic staff provide education about PrEP, and offer PrEP to individuals who are men who have sex with men (MSM) or transgender women; diagnosed with gonorrhea, chlamydia, or syphilis in the past year; report a partner who is living with HIV or of unknown HIV status; asking for PrEP; or transitioning from non-occupational post-exposure prophylaxis (nPEP). Once eligibility is determined by clinic staff, the PrEP navigator extends an offer to the patient to undergo a clinical evaluation to initiate PrEP (henceforth described as a “PrEP offer”). PrEP navigators also work with patients to address any barriers they may have to initiating PrEP (eg, assistance with completion of patient assistance paperwork). Prior to 2018, individuals who accepted a PrEP offer underwent a same-day clinical evaluation with a clinical provider, including obtaining baseline labs. Individuals who were deemed clinically eligible to start PrEP were given a prescription after laboratory results were available. Starting in 2018, individuals were given a prescription for PrEP the same day as the clinical evaluation if the individuals did not show signs or symptoms of acute HIV, and if their rapid HIV test was negative. Individuals could start PrEP prior to receiving the results of other baseline laboratory-based tests (eg, creatinine).
In 2017, staff at Open Arms began systematically documenting PrEP eligibility criteria, PrEP offers, and PrEP acceptance (ie, accepted a PrEP offer, meaning the patient agreed to undergo an evaluation for PrEP) in an ancillary REDCap database,22,23 which was used until mid-2020. The REDCap database was implemented in the clinic to be able to more readily monitor the clinic's PrEP program for internal quality improvement without relying on data abstraction from the clinic's main electronic medical record. The REDCap database included demographic information, STI testing and diagnosis history, sexual behavior history, and whether or not someone was eligible for PrEP, offered PrEP, and accepted a PrEP offer.
For this analysis, the study population comprised individuals who were patients at Open Arms from January 2017 to October 2020 (the time period when the REDCap database was used) and who were determined to be eligible for PrEP by the clinic's criteria. This is an encounter-based dataset (ie, a dataset where each “row” of data represents a patient encounter/visit rather than an individual person. In encounter-based datasets, a single person may appear in the dataset multiple times if they had more than one visit during the study period).
Statistical Analysis
We describe the percentage of encounters where individuals accepted a PrEP offer, among encounters where individuals were eligible and offered PrEP. We examined associations between PrEP acceptance and select demographic (eg, age, race), clinical (eg, history of bacterial STI), and behavioral (eg, condom use) factors that we identified in the literature to be previously associated with PrEP acceptance or uptake. To explore whether acceptance of a PrEP offer differed by select factors, we used log binomial regression with robust standard errors to estimate unadjusted and adjusted prevalence ratios (PR) and 95% confidence intervals (CI). We included all factors of interest in the multivariate model.
In a person-based analysis, we describe the percentage of individuals who ever accepted a PrEP offer versus never accepted a PrEP offer. We compared the characteristics of patients who ever versus never accepted PrEP using chi-square tests and also reported the median number of times after the initial PrEP decline that someone later accepted a PrEP offer.
We used Stata version 17 (College Station, TX, USA) for all analyses. All tests were performed at a significance level of 0.05. This study was reviewed and approved by the University of Washington Institutional Review Board (IRB) and University of Mississippi Medical Center IRB. Because this was a medical records review, patients did not provide written informed consent.
Results
Between January 2017 and October 2020, there were 721 encounters where patients were eligible for PrEP; staff offered PrEP at 680 (94%) of these encounters. These 680 encounters include 526 unique individuals, and comprise the analytic datasets used for analysis.
Descriptive characteristics of encounters at which patients were offered PrEP are shown in Table 1. Most encounters were with patients ages 25 and older (61.5%), patients who identified as Black (72.5%), and cisgender MSM (63.4%). Approximately 6.6% of encounters were with patients who reported having sex partners living with HIV.
Table 1.
Characteristics | Eligible Encounters N = 680 |
---|---|
N (%) | |
Age (years) | |
<25 | 262 (38.5) |
> = 25 | 418 (61.5) |
Race | |
Black | 493 (72.5) |
White | 159 (23.4) |
Another race not listed* | 28 (4.1) |
Gender and Gender of Sex Partners | |
Cisgender men | 563 (82.8) |
Cisgender men who have sex with men | 431 (63.4) |
Cisgender men who have sex with women | 31 (4.6) |
Cisgender men who have sex with women and men | 100 (14.7) |
Cisgender women | 79 (11.6) |
Cisgender women who have sex with men | 61 (9.0) |
Cisgender women who have sex with women | 3 (0.4) |
Cisgender women who have sex with women and men | 15 (2.2) |
Transgender/non-Binary individuals | 38 (5.6) |
Transgender/non-Binary individuals who have sex with men | 31 (4.6) |
Transgender/non-Binary individuals who have sex with women and men | 7 (1.0) |
Date of last HIV test | |
Within the past 12 months | 261 (38.4) |
>12 months ago | 62 (9.1) |
Unknown | 357 (52.5) |
Has sex partner(s) living with HIV | |
Yes | 45 (6.6) |
No | 127(18.7) |
Unknown | 508 (74.7) |
STI diagnosis in prior 12 months** | |
Yes | 105 (15.4) |
No | 575 (84.6) |
STI diagnosis at current visit† | |
Syphilis | 76 (11.2) |
Gonorrhea | 67 (9.9) |
Chlamydia | 86 (12.6) |
No STI diagnosis of syphilis, gonorrhea, chlamydia | 490 (72.1) |
Condom use for receptive anal or vaginal sex | |
Always | 52 (7.7) |
Not always | 458 (67.4) |
Not applicable | 170 (25.0) |
Condom use during receptive vaginal sex | |
Always | 15 (2.2) |
Not always | 157 (23.1) |
Not applicable | 508 (74.7) |
Condom use during receptive anal sex | |
Always | 41 (6.0) |
Not always | 337 (49.6) |
Not applicable | 302 (44.4) |
*Another race includes American Indian/Alaskan Native (N = 2), Asian (N = 1), Native Hawaiian or Other Pacific Islander (N = 1), More than One Race (N = 10), and unknown/not reported (N = 15).
**STI diagnoses include chlamydia (genital, rectal, and/or pharyngeal), gonorrhea (genital, rectal, and/or pharyngeal), and syphilis.
Diagnosis of syphilis, gonorrhea, and chlamydia are not mutually exclusive (ie, individuals can be diagnosed with more than one STI at a given visit).
Individuals accepted a PrEP offer at 395 (58%) of 680 encounters (Table 2). Encounters with individuals who were transgender or non-binary had the lowest prevalence of accepting the PrEP offer (16%); the highest prevalence of accepting the PrEP offer (93%) was during encounters where individuals reported having a sex partner who was living with HIV (Table 2). Bivariate analyses indicated that encounters with transgender/non-binary individuals were significantly less likely to accept a PrEP offer compared to those with cisgender MSM (PR = 0.3; 95% CI = 0.1, 0.5). Encounters with individuals who did not know their last date of HIV test (PR = 1.3; 95% CI = 1.1, 1.6) and encounters where individuals reported always (vs not always) using condoms for receptive vaginal or anal sex (PR = 1.3; 95% CI = 1.1, 1.6) were more likely to accept the PrEP offer. Encounters with individuals who reported having sex partners living with HIV or of unknown HIV status were more likely to accept the PrEP offer compared to those who did not report having these partners; this was the only factor that remained significantly associated with accepting a PrEP offer in adjusted analysis (aPR = 1.9, 95% CI = 1.2, 2.8). There were no significant differences in accepting a PrEP offer by race or age.
Table 2.
Accepted PrEP Offer N = 395 | Did not accept PrEP offer N = 285 | ||||
---|---|---|---|---|---|
Characteristics | N | N (row %) | N (row %) | PR (95% CI) | Adjusted PR (95% CI) |
Overall | 680 | 395 (58.0%) | 285 (42.0%) | ||
Age (years) | |||||
<25 | 262 | 152 (58.0) | 110 (42.0) | Reference | Reference |
> = 25 | 418 | 243 (58.1) | 175 (41.9) | 1.0 (0.9, 1.1) | 1.1 (0.8, 1.4) |
Race | |||||
Black | 493 | 290 (58.8) | 203 (41.2) | Reference | Reference |
White | 159 | 88 (55.4) | 71 (44.7) | 0.9 (0.8, 1.1) | 1.0 (0.8, 1.3) |
Other | 28 | 17 (60.7) | 11 (39.3) | 1.0 (0.8, 1.4) | 1.0 (0.6, 1.6) |
Gender and Gender of Sex Partners | |||||
Cisgender MSM | 431 | 270 (62.7) | 161 (37.4) | Reference | Reference |
Cisgender MSW | 31 | 20 (64.5) | 11 (35.5) | 1.0 (0.8, 1.4) | 1.0 (0.6, 2.1) |
Cisgender MSMW | 100 | 54 (54.0) | 46 (46.0) | 0.9 (0.7, 1.1) | 1.1 (0.8, 1.5) |
Cisgender women | 79 | 45 (57.0) | 34 (43.0) | 0.9 (0.7, 1.1) | 1.4 (0.9, 2.1) |
Transgender/nonbinary individuals | 38 | 6 (15.8) | 32 (84.2) | 0.3 (0.1, 0.5) | 0.4 (0.6, 2.4) |
Date of last HIV test | |||||
Within past 12 months | 261 | 134 (51.3) | 127 (48.7) | Reference | Reference |
>12 months ago | 62 | 32 (51.6) | 30 (48.4) | 1.0 (0.8, 1.3) | 1.2 (0.8, 1.8) |
Unknown | 357 | 229 (64.2) | 128 (35.9) | 1.3 (1.1, 1.4) | 1.2 (0.9, 1.5) |
Has sex partner(s) living with HIV | |||||
Yes | 45 | 42 (93.3) | 3 (6.7) | 2.1 (1.7, 2.6) | 1.9 (1.2, 2.8) |
No | 127 | 57 (44.9) | 70 (55.1) | Reference | Reference |
Unknown | 508 | 296 (58.3) | 212 (41.7) | 1.3 (1.1, 1.6) | 1.3 (0.9, 1.9) |
STI diagnosis in prior 12 months | |||||
Yes | 105 | 52 (49.5) | 53 (50.5) | 0.8 (0.7, 1.0) | 1.0 (0.6, 1.6) |
No | 575 | 343 (59.7) | 232 (40.4) | Reference | Reference |
Condom use for receptive anal or vaginal sex | |||||
Always | 52 | 37 (71.2) | 15 (28.9) | 1.3 (1.1, 1.6) | 1.2 (0.7, 2.3) |
Not always | 458 | 251 (54.8) | 207 (45.2) | Reference | Reference |
Not applicable | 170 | 107 (63.0) | 63 (37.1) | 1.2 (1.0, 1.3) | 1.3 (0.8, 2.1) |
CI, confidence interval; MSM, men who have sex exclusively with men; MSMW, men who have sex with men and women; MSW, men who have sex exclusively with women; PR, prevalence ratio.
There were 526 unique individuals who were offered PrEP; 346 (65.8%) ever accepted a PrEP offer and 180 (34.2%) never accepted a PrEP offer (Table 3). Among these 180 individuals who never accepted a PrEP offer, 86% were offered PrEP once, 10% were offered twice, and 4% were offered PrEP three or more times. There were no significant differences in ever versus never accepting a PrEP offer by age or race. Transgender/non-binary individuals were the least likely to ever accept a PrEP offer (16.7% ever accepted) and cisgender MSM were the most likely to ever accept a PrEP offer (73.1% ever accepted). Of the 346 individuals who ever accepted a PrEP offer, 329 (95.1%) accepted at the first offer and 17 (4.9%) initially declined a PrEP offer and later accepted; 14 (82%) of 17 accepted a PrEP offer the second time they were offered. Notably, 28 (8.1%) of the 329 who accepted PrEP at first offer declined a subsequent PrEP offer that was made after a gap in their PrEP coverage (a median of 6 months after initiating PrEP).
Table 3.
Characteristic | Ever Accepted N = 346 | Never Accepted N = 180 | P-value* | |
---|---|---|---|---|
N | N (row %) | N (row %) | ||
Overall | 526 | 346 (65.8) | 180 (34.2) | |
Age at first visit | 0.66 | |||
<25 | 209 | 135 (64.6) | 74 (35.4) | |
> = 25 | 316 | 210 (66.5) | 106 (33.5) | |
Race | 0.66 | |||
Black | 369 | 247 (66.9) | 122 (33.1) | |
White | 130 | 82 (63.1) | 48 (36.9) | |
Other | 26 | 16 (61.5) | 10 (38.5) | |
Gender and Gender of Sex Partners | <0.05 | |||
Cisgender MSM | 309 | 226 (73.1) | 83 (26.9) | |
Cisgender MSW | 31 | 20 (64.5) | 11 (35.5) | |
Cisgender MSMW | 79 | 51 (64.6) | 28 (35.4) | |
Cisgender women | 76 | 43 (56.6) | 33 (43.4) | |
Transgender/non-binary individuals | 30 | 5 (16.7) | 25 (83.3) |
MSM, men who have sex exclusively with men; MSMW, men who have sex with men and women; MSW, men who have sex exclusively with women.
*From chi-square test.
Discussion
In this analysis of clinic data from the largest PrEP provider in Jackson, Mississippi, we found that clinic staff offered PrEP at a vast majority of eligible encounters (94%) and that patients accepted a PrEP offer at 58% of visits at which they were eligible. In our person-based analysis, we found that about 66% of patients eligible for PrEP ever accepted a PrEP offer and that vast majority (95%) of those patients accepted the PrEP offer the first time they were asked. Accepting a PrEP offer was lowest for patients who identified as transgender and highest for patients who had a partner living with HIV. These findings highlight a successful model of PrEP implementation in a clinic setting located in a state with disproportionately high rates of new HIV diagnosis.
Most published data about PrEP use in the US reflects ever or current use of PrEP (ie, the percentage of individuals in a given setting or geographic region who report ever using PrEP or who report current PrEP use). In our study, we examined the step immediately preceding use or uptake; that is, we examined the percentage of individuals who accepted an offer to undergo a clinical evaluation for PrEP, among those who were eligible for PrEP and offered PrEP. In that regard, our findings are somewhat difficult to contextualize in other published estimates of studies in the US, which have largely measured PrEP uptake. However, some US studies have explicitly measured PrEP initiation or acceptance of a PrEP offer among individuals eligible for PrEP (as we did here); those studies have yielded a range of estimates of PrEP uptake, from 19% to 79%.24–28 The three studies most comparable to ours were clinic or community-based organization evaluations. Using electronic medical record (EMR) data from a large network of federally qualified health centers in New York City, Caponi and colleagues 24 found that 19% of patients were prescribed PrEP among those who were identified in their EMR as being eligible for PrEP (ie, had clinical indicators in the EMR of being at high risk of HIV but were HIV-negative). In a health department clinic in Atlanta, Rolle and colleagues 25 noted that 60% of patients who were determined to be eligible for PrEP by clinic criteria attended their PrEP initiation visit. And in a PrEP demonstration project in Tennessee, Brantley and colleagues 26 found that clients accepted a PrEP offer at 50% of eligible encounters. Thus, our observation that 66% of individuals ever accepted a PrEP offer is at the high end of these estimates. It is worth noting that we did not explicitly capture whether or not a client underwent the clinical evaluation and was given a PrEP prescription, as some of these other studies did. But given that for most of the study period (in 2018 and later), it was the clinic's protocol for individuals to undergo a same-day PrEP evaluation, we believe that the majority of those who accepted a PrEP offer did indeed have a clinical evaluation and were likely provided with a PrEP prescription, though we cannot assert that with certainty.
This high level of PrEP acceptance we observed is particularly remarkable given that Mississippi has lowest number of PrEP users per new HIV diagnosis in the US at 1:3 (ie, for every one person newly diagnosed with HIV in Mississippi, there were only an estimated 3 people using PrEP). For comparison, in New York State this ratio is 1:17. 3 Our findings suggest that at least in our setting—which is the largest PrEP provider in the state—once individuals are identified as eligible for PrEP and are educated about PrEP, overall acceptance is high. Therefore, other components of the PrEP care continuum, such as awareness of PrEP and persistence on PrEP, may be driving the low prevalence of PrEP use in Mississippi. Indeed, a number of clinic-based PrEP programs in the US including in Mississippi have observed low persistence on PrEP, noting that 30–50% of individuals discontinue PrEP within the first 12 months of initiation.20,25,29–34 Additionally, it is important to recognize that over 50% of individuals newly diagnosed with HIV in Mississippi reside in rural communities, 35 and [CLINIC] is just one provider that is located in an urban area. Thus, continued efforts to increase PrEP awareness and education alongside interventions to improve PrEP persistence and implement same-day PrEP in settings outside large urban areas are needed to increase more widespread PrEP use Mississippi and elsewhere in the US.
Although we believe our findings demonstrate a successful model of PrEP implementation, it is notable that in our study there were 42% of encounters where patients were eligible for PrEP but declined a PrEP offer and that one-third of patients never accepted a PrEP offer. Several studies have identified a lack of PrEP awareness as a key barrier to uptake,6,8–10,12–15 but here patients were already engaging with the healthcare system, received standardized education about PrEP, and were offered PrEP. This highlights other critical barriers to PrEP uptake. A large body of research has attempted to characterize these barriers at all socioecological levels. Individual-level barriers (eg, perceived risk of HIV infection, concerns of PrEP side effects), interpersonal-level barriers (eg, PrEP use implies cheating to monogamous partners), and healthcare-level barriers (eg, proximity to facilities, medical mistreatment) all contribute to low uptake.6–12,15–17,27,36–41 Additionally, structural racism and perceived and enacted PrEP-related stigma associated with HIV, homophobia, and transphobia are barriers at all socioecological levels. 39 Notably in our study, accepting a PrEP offer was lowest (17%) among transgender/non-binary individuals. Transgender/non-binary populations may have unique barriers to PrEP uptake such as concerns of side effects and interactions with hormone replacement therapy (HRT) for gender-affirming care, stigma, and prioritization of social support programs over medical care.9,13,42–44 Improving PrEP acceptance and uptake necessitates approaches that address these critical hurdles such as gender-affirming care, effective patient-provider communication, programs to reduce PrEP related stigma, improving access to low-barrier care, and improving marketing strategies for non-MSM PrEP users.9–11,16,35–37
In our encounter-based analysis, the only factors other than gender that were significantly associated with PrEP acceptance were condom use and having a partner living with HIV, with the latter being the only factor significantly associated with PrEP acceptance in adjusted analyses. Given that over 90% of individuals with partners living with HIV accepted the PrEP offer, we hypothesize that these individuals specifically sought care at the clinic in order to start PrEP. Supporting this, previous evaluations of [CLINIC] data have found that people with a partner living with HIV have high persistence on PrEP at 12 months after initiation. 20 Notably, both person and encounter-based analyses found no significant difference in PrEP acceptance by race and age. This was reassuring, given that [CLINIC] made substantial efforts to promote PrEP acceptance among young, Black MSM in particular and specifically hired clinic staff that reflected the community they served.
There are several limitations that may influence the results of the study. First, these data are from a single clinical site in Jackson, Mississippi, and results may not be able to be extrapolated broadly, though these data do come from the largest PrEP provider in Mississippi. Second, because this analysis leveraged data collected in an ancillary clinical database and not the primary electronic health record, we were not able to examine other factors’ association with PrEP acceptance that were not included in the ancillary database. For example, our analysis did not include urban/rural residence information, insurance status, ethnicity, reason for visit, or substance use history. Third, we do not know reasons why people did not accept the PrEP offer (eg, did not perceive a need for PrEP, did not want to return to the clinic for quarterly visits, etc). However, this study still provides important insights into this step of the “PrEP continuum.” Finally, our data only describe acceptance of a PrEP offer, and we do not have insights into how many individuals who accepted an offer for a PrEP evaluation ultimately picked up their prescription and persisted on PrEP. However, a key strength of our study is that the clinic systematically documented PrEP eligibility criteria, PrEP offers, and acceptance of the offer, allowing us to gain a comprehensive look at PrEP acceptance.
In summary, we found that overall PrEP uptake was high in this clinical setting in the Deep South. These data are critically important to allow our clinic and others to understand gaps in PrEP provision. Here we found that our clinic offered PrEP to the vast majority (94%) of PrEP patients and that most accepted a PrEP offer, though transgender/non-binary patients had relatively low acceptance. These findings highlight the important of standardized and systematic processes for PrEP education and offers as well as documentation of these services so that the data can be used to improve clinic services and highlight potential areas of intervention.
Acknowledgments
The authors would like to thank the staff at Open Arms for integrating PrEP into the clinic. They would also like to thank Courtney Gomillia and Khadijra Lockwood who performed routine data abstractions and revised standardized clinic forms as needed.
Footnotes
Author Contributions: M.H. and C.M.K. conceptualized the study design and analysis with input from L.W. and J.D. J.G., A.B., and L.M. were involved in the design and execution of data collection. M.H. wrote the first draft of the manuscript. All others critically reviewed the manuscript and agreed on the final submitted version.
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: C.M.K. has received donations of specimen collection kits and reagents for research outside the submitted work. L.M. received grants from ViiV Healthcare, Gilead Sciences, Merck, Hologic, Janssen, Lupin, Evofem, Click Diagnostics, Binx Health, ThaiMed and received honoraria for from ViiV Healthcare, Gilead Science, Merck and Roche.
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by a grant from the National Institutes of Health (NIH) [grant R21 MH125608 to C.M.K] and by the University of Washington/Fred Hutch Center for AIDS Research, an NIH-funded program under award number P30 AI027757 which is supported by the following NIH Institutes and Centers: NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NIA, NIGMS, NIDDK.
ORCID iD: Christine M. Khosropour https://orcid.org/0000-0002-9743-0829
References
- 1. Monitoring Selected National HIV Prevention and Care Objectives By Using HIV Surveillance Data United States and 6 Dependent Areas, 2019. 2021. (Accessed January 2, 2022, at https://www.cdc.gov/hiv/pdf/library/reports/surveillance/cdc-hiv-surveillance-report-vol-26-no-2.pdf.)
- 2.Kanny D, Jeffries W, Chapin-Bardales J, et al. Racial/ethnic disparities in HIV preexposure prophylaxis among men who have sex with men - 23 urban areas, 2017. MMWR Morb Mortal Wkly Rep. 2019;68(37):801–806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.AIDSVu. 2022. (Accessed April 21, 2022, at https://aidsvu.org.).
- 4.HIV Surveillance Report. 2020. vol. 33. 2022. (Accessed June 13, 2022, at https://www.cdc.gov/hiv/library/reports/hiv-surveillance/vol-33/index.html.).
- 5.Sullivan PS, Mena L, Elopre L, et al. Implementation strategies to increase PrEP uptake in the south. Curr HIV/AIDS Rep. 2019;16(4):259–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Russ S, Zhang C, Liu Y. Pre-Exposure prophylaxis care continuum, barriers, and facilitators among black men who have sex with men in the United States: a systematic review and meta-analysis. AIDS Behav. 2021;25(7):2278–2288. [DOI] [PubMed] [Google Scholar]
- 7.Ezennia O, Geter A, Smith DK. The PrEP care continuum and black men who have sex with men: a scoping review of published data on awareness, uptake, adherence, and retention in PrEP care. AIDS Behav. 2019;23(10):2654–2673. [DOI] [PubMed] [Google Scholar]
- 8.Mayer KH, Agwu A, Malebranche D. Barriers to the wider use of pre-exposure prophylaxis in the United States: a narrative review. Adv Ther. 2020;37(5):1778–1811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Adimora AA, Ramirez C, Poteat T, et al. HIV And women in the USA: what we know and where to go from here. Lancet. 2021;397(10279):1107–1115. [DOI] [PubMed] [Google Scholar]
- 10.Patel AS, Goparaju L, Sales JM, et al. Brief report: PrEP eligibility among at-risk women in the southern United States: associated factors, awareness, and acceptability. J Acquir Immune Defic Syndr. 2019;80(5):527–532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Willie TC, Monger M, Nunn A, et al. PrEP's just to secure you like insurance": a qualitative study on HIV pre-exposure prophylaxis (PrEP) adherence and retention among black cisgender women in Mississippi. BMC Infect Dis. 2021;21(1):1102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cahill S, Taylor SW, Elsesser SA, et al. 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):1351–1358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Poteat T, Wirtz A, Malik M, et al. A gap between willingness and uptake: findings from mixed methods research on HIV prevention among black and Latina transgender women. J Acquir Immune Defic Syndr. 2019;82(2):131–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Johnson AK, Fletcher FE, Ott E, et al. Awareness and intent to use pre-exposure prophylaxis (PrEP) among African American women in a family planning clinic. J Racial Ethn Health Disparities. 2020;7(3):550–554. [DOI] [PubMed] [Google Scholar]
- 15.D'Angelo AB, Davis Ewart LN, Koken J, et al. Barriers and facilitators to pre-exposure prophylaxis uptake among black women: a qualitative analysis guided by a socioecological model. J Assoc Nurses AIDS Care. 2021;32(4):481–494. [DOI] [PubMed] [Google Scholar]
- 16.Strauss BB, Greene GJ, Phillips G, 2nd, et al. Exploring patterns of awareness and use of HIV Pre-exposure prophylaxis among young men who have sex with men. AIDS Behav. 2017;21(5):1288–1298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Huang W, Lockard A, Kelley CF, et al. From declining PrEP to PrEP initiation as “first nature” - what changes PrEP initiation decisions among young, black MSM. AIDS Care. 2022;34(3):284–293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Ending the HIV Epidemic in the US. 2019. (Accessed 3 March 2021, at https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overview.)
- 19.Siegler AJ, Mouhanna F, Giler RM, 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):841–849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Smith DK, Rawlings MK, Glick N, et al. Adherence to daily oral TDF/FTC for PrEP in community health center populations: the sustainable health center implementation PrEP pilot (SHIPP) study. AIDS Behav. 2022;26(2):350–360. [DOI] [PubMed] [Google Scholar]
- 21.Goedel WC, Coats CS, Chan PA, et al. A pilot study of a patient navigation intervention to improve HIV pre-exposure prophylaxis persistence among black/African American men who have sex with men. J Acquir Immune Defic Syndr. 2022;90(3):276–282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Caponi M, Burgess C, Leatherwood A, et al. Demographic characteristics associated with the use of HIV pre-exposure prophylaxis (PrEP) in an urban, community health center. Prev Med Rep. 2019;15:100889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Rolle CP, Onwubiko U, Jo J, et al. PrEP implementation and persistence in a county health department setting in Atlanta, GA. AIDS Behav. 2019;23(S3):296–303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Brantley ML, Rebeiro PF, Pettit AC, et al. Temporal trends and sociodemographic correlates of PrEP uptake in Tennessee, 2017. AIDS Behav. 2019;23(S3):304–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Serota DP, Rosenberg ES, Sullivan PS, et al. Pre-exposure prophylaxis uptake and discontinuation among young black men who have sex with men in Atlanta, Georgia: a prospective cohort study. Clin Infect Dis. 2020;71(3):574–582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Wheeler DP, Fields SD, Beauchamp G, et al. Pre-exposure prophylaxis initiation and adherence among black men who have sex with men (MSM) in three US cities: results from the HPTN 073 study. J Int AIDS Soc. 2019;22(2):e25223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rusie LK, Orengo C, Burrell D, et al. Preexposure prophylaxis initiation and retention in care over 5 years, 2012–2017: are quarterly visits too much? Clin Infect Dis. 2018;67(2):283–287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Dombrowski JC, Golden MR, Barbee LA, et al. Patient disengagement from an HIV preexposure prophylaxis program in a sexually transmitted disease clinic. Sex Transm Dis. 2018;45(9):e62–ee4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Clement ME, Johnston BE, Eagle C, et al. Advancing the HIV pre-exposure prophylaxis continuum: a collaboration between a public health department and a federally qualified health center in the southern United States. AIDS Patient Care STDS. 2019;33(8):366–371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wu L, Schumacher C, Chandran A, et al. Patterns of PrEP retention among HIV pre-exposure prophylaxis users in Baltimore city, Maryland. J Acquir Immune Defic Syndr. 2020;85(5):593–600. [DOI] [PubMed] [Google Scholar]
- 33.Chan PA, Mena L, Patel R, et al. Retention in care outcomes for HIV pre-exposure prophylaxis implementation programmes among men who have sex with men in three US cities. J Int AIDS Soc. 2016;19(1):20903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Chase E, Mena L, Johnson KL, et al. Patterns of pre-exposure prophylaxis (PrEP) use in a population accessing PrEP in Jackson, Mississippi. AIDS Behav. 2023;27:1082–1090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Mississippi State Department of Health. Ending the HIV Epidemic: Epidemiologic Profile 20182021.
- 36.Arnold T, Brinkley-Rubinstein L, Chan PA, et al. Social, structural, behavioral and clinical factors influencing retention in pre-exposure prophylaxis (PrEP) care in Mississippi. PLoS One. 2017;12(2):e0172354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Schnarrs PW, Gordon D, Martin-Valenzuela R, et al. Perceived social norms about oral PrEP use: differences between African-American, Latino and white gay, bisexual and other men who have sex with men in Texas. AIDS Behav. 2018;22(11):3588–3602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Nieto O, Fehrenbacher AE, Cabral A, et al. Barriers and motivators to pre-exposure prophylaxis uptake among black and Latina transgender women in Los Angeles: perspectives of current PrEP users. AIDS Care. 2021;33(2):244–252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Bonacci RA, Smith DK, Ojikutu BO. Toward greater pre-exposure prophylaxis equity: increasing provision and uptake for black and Hispanic/Latino individuals in the U.S. Am J Prev Med. 2021;61(5 Suppl 1):S60–S72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ojikutu BO, Amutah-Onukagha N, Mahoney TF, et al. HIV-Related Mistrust (or HIV conspiracy theories) and willingness to use PrEP among black women in the United States. AIDS Behav. 2020;24(10):2927–2934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Malone J, Reisner SL, Cooney EE, et al. Perceived HIV acquisition risk and low uptake of PrEP among a cohort of transgender women with PrEP indication in the eastern and southern United States. J Acquir Immune Defic Syndr. 2021;88(1):10–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bass SB, Kelly PJ, Brajuha J, et al. Exploring barriers and facilitators to PrEP use among transgender women in two urban areas: implications for messaging and communication. BMC Public Health. 2022;22(1):17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.D'Avanzo PA, Bass SB, Brajuha J, et al. Medical mistrust and PrEP perceptions among transgender women: a cluster analysis. Behav Med. 2019;45(2):143–152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Zarwell M, John SA, Westmoreland D, et al. PrEP uptake and discontinuation among a U. S. National Sample of Transgender Men and Women. AIDS Behav. 2021;25(4):1063–1071. [DOI] [PMC free article] [PubMed] [Google Scholar]