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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: AIDS Care. 2020 Sep 21;33(6):721–728. doi: 10.1080/09540121.2020.1822506

Awareness of and Interest in Oral Pre-Exposure Prophylaxis (PrEP) for HIV Prevention and Interest in Hypothetical Forms of PrEP among People who Inject Drugs in Rural West Virginia

Kristin E Schneider 1,§, Rebecca Hamilton White 2, Allison O’Rourke 3, Michael E Kilkenny 4, Michelle Perdue 4, Susan G Sherman 2, Suzanne M Grieb 5, Sean T Allen 2
PMCID: PMC7981279  NIHMSID: NIHMS1628171  PMID: 32951438

Abstract

Injection drug use-associated HIV outbreaks have occurred in rural communities throughout the United States, which often have limited HIV prevention services for people who inject drugs (PWID). Pre-exposure prophylaxis (PrEP) is one tool that may help fill gaps in HIV prevention programming in rural settings. Oral PrEP has been approved for use, and new PrEP formulations are under development. Research is needed to better understand interest in oral and forthcoming PrEP formulations among PWID. We used survey data from 407 PWID in rural West Virginia. We asked if participants had heard of, taken, and were interested in taking PrEP, and about interest in several hypothetical forms of PrEP (arm injections, abdomen injections, implants, intravenous infusions). We estimated the prevalence of interest in each formulation and assessed correlates using Chi-squared tests. A minority had heard of oral PrEP (32.6%), and few had used it (3.7%). Many were interested in using oral PrEP (58.3%). Half were interested in arm injections (55.7%). Common correlates of interest across PrEP formulations were sexual minority status, comfort talking to a doctor about sex, sex work, and sharing injection equipment. Oral and injectable PrEP have the potential to fill HIV prevention gaps for rural PWID.

Keywords: HIV prevention, pre-exposure prophylaxis (PrEP), people who inject drugs, rural health

Introduction

The ongoing opioid crisis has spurred injection drug use-associated HIV outbreaks in rural communities throughout the United States. In 2015, Scott County, Indiana experienced an HIV outbreak linked to the injection of prescription opioids with 181 incident infections identified over one year (Conrad et al., 2015; Gonsalves and Crawford, 2018; Peters et al., 2016). This outbreak was an eye-opening event for public health practitioners and raised concerns about a resurgence of HIV among non-urban populations of people who inject drugs (PWID). Since the Scott County outbreak, comparable injection drug use-associated HIV clusters have been identified in Lawrence and Lowell, Massachusetts in 2016–2017, Hamilton County and Northern Kentucky in 2018, and Cabell County, West Virginia in 2019 (Alpren et al., 2020; Atkins et al., 2020; Cranston et al., 2019; Evans et al., 2018; Hamilton County Public Health, 2018; Northern Kentucky Health Department, 2018). Research has identified more than 200 predominantly rural counties as vulnerable to injection drug use-associated HIV outbreaks (Van Handel et al., 2016). Given the magnitude of risk vulnerability, expanded access to HIV prevention services are sorely needed in rural communities across the country.

Geographical isolation paired with limited public health infrastructure present significant challenges for preventing infectious disease outbreaks among rural PWID populations (Cloud, Ibragimov, Prood, Young, & Cooper, 2019; Des Jarlais et al., 2015). Rural communities often lack evidence-based HIV prevention services, like free and accessible HIV testing and syringe services programs that provide sterile injection equipment to reduce risks for infectious disease transmission among PWID (Des Jarlais, et al., 2015; Sutton, Anthony, Vila, McLellan‐Lemal, & Weidle, 2010). One way to overcome the limited HIV prevention infrastructure for rural PWID is through the implementations of pre-exposure prophylaxis (PrEP) programs. Currently, PrEP is an oral medication that can be taken daily to lower risks of HIV acquisition (Food and Drug Administration, 2014). Both the Centers for Disease Control and Prevention (CDC) and United States Preventative Services Task Force recommend that PrEP be offered to PWID, as they are at high-risk for HIV exposure (Centers for Disease Control and Prevention, 2018; US Preventive Services Task Force, 2019). Despite these recommendations, fully scaled PrEP programs for PWID remain rare in rural communities. This lack of programming partially reflects a broadly stigmatizing belief that PWID will not be able to comply with PrEP regimens (Guise, Albers, & Strathdee, 2017). While oral PrEP is the only formulation currently approved for use in the United States, a multitude of new PrEP regimens are under development. Long-acting forms of PrEP that are being developed include injectables, implants, vaginal rings, and antibody infusions (US Department of Health & Human Services, 2019). To date, literature around interest in PrEP among PWID has primarily been limited to oral PrEP, so it is not clear which, if any, of these possible forthcoming PrEP formulations would be of interest to PWID.

Presently, we aimed to explore the awareness of and interest in oral PrEP among a sample of PWID in rural West Virginia. We examined what hypothetical PrEP formulations would be of interest to this population, if they were made available. Finally, we explored sociodemographic correlates of interest in taking oral and hypothetical PrEP formulations.

Methods

Data came from the West Virginia COUNTS! study, which aimed to quantify the size and characteristics of the PWID population in Cabell County, West Virginia (Allen, O’Rourke, et al., 2019; Allen, White, et al., 2019; Schneider et al., 2020; White et al., 2020). Eighty-five percent of the land space in Cabell County is considered rural by the US Census Bureau (US Census Bureau, 2012). Participants were at least 18 years old and had to have previously used drugs. We recruited participants in two phases in June-July 2018, first at the Cabell-Huntington Harm Reduction Program (CHHRP), which is housed at the Cabell-Huntington Health Department, and then in community locations where PWID congregate. These locations were identified via discussions with local stakeholders who were familiar with PWID (e.g., recovery coaches, syringe services program staff) as well as geospatial analyses of secondary data sources (e.g., overdose fatality, syringe disposal) that may indicate areas where PWID congregate (Allen, O’Rourke, et al., 2019). After briefly describing the study procedures and obtaining oral consent from participants, we collected data via audio computer assisted self-interview. Participants received a $10 grocery gift card or snack bag as an incentive for their participation. We restricted our sample to individuals who had injected drugs in the previous 6 months (n=421). We excluded individuals who were previously diagnosed with HIV (n=13) and a transgender participant to preserve their anonymity, yielding a final analytic sample of 407 participants. This study was approved by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board.

We described oral PrEP to participants as “a way for people who do not have HIV to prevent HIV infection by taking a pill every day.” We then asked participants if they had ever heard of using oral PrEP for HIV prevention before (yes/no) and if they had ever taken PrEP (yes/no). Finally, we asked participants how interested they would be in taking a pill every day to prevent HIV (very interested, somewhat interested, somewhat disinterested, very disinterested), and created a dichotomous variable for interest in oral PrEP (very and somewhat interested, very and somewhat disinterested). We then measured interest in hypothetical PrEP formulations by asking participants to indicate which of the following they would potentially be interested in: arm injections every 3 months, abdomen injections every 3 months, intravenous (IV) infusions every 3 months, under-skin implants (select all that apply). We selected a 3-month interval for these hypothetical options, as individuals who take oral PrEP are required to see their physician every 3 months (Centers for Disease Control and Prevention, 2018). Thirty-two participants did not respond to the hypothetical PrEP questions. We also asked female participants if they would be interested in two additional forms of PrEP: a vaginal gel and a vaginal ring. Five female participants did not respond to these questions and were excluded from analyses for these hypothetical PrEP formulations.

We also measured sociodemographic characteristics and HIV risk. Participants reported their age (18–29, 30–39, 40–49, 50+), race (categorized as non-Hispanic White/Other due to low prevalence of any other race in the sample), gender (male/female), education (less than high school, high school or equivalent, or some college or more), employment (not working, part time, full time), relationship status (single/in a relationship), sexual orientation (heterosexual/sexual minority, including lesbian, gay, bisexual, and other), whether they considered themselves homeless (yes/no), and how often they went to bed hungry (at least once a week/less than once a week). We asked participants if they were comfortable taking to a doctor about sex and drugs (very or somewhat comfortable/very or somewhat uncomfortable). We asked participants if they had sold or traded sex for money, drugs, food, or other goods in the past 6 months (yes/no, referred to as sex work henceforth). We also included a measure of injection-related HIV risk; specifically, we asked participants if they had used any injection equipment that had previously been used by another person in the past six months, including syringes, cottons, cookers, and rinse water. Participants indicated if they had shared each item, and we summarized these responses into a single binary variable reflecting any injection equipment sharing in the past six months.

When analyzing the data, we first estimated the prevalence of awareness of, usage of, and interest in oral PrEP. We also estimated the prevalence of interest in each hypothetical PrEP formulation. We then used chi-square tests to assess if sociodemographic and HIV risk characteristics were associated with interest in each form of PrEP. Finally, we estimated multivariable logistic regression models for each PrEP formulation including all variables with a p<0.1 from the bivariate analysis. All analyses were conducted using Stata 14 (StataCorp, 2015).

Results

The sample was mostly male (60.9%), non-Hispanic white (84.6%), and unemployed (79.6%) (Table 1). The participants were generally young (25.1% 18–29, 45.3% 30–39). Most had a high school education or less (62.6%), were homeless (55.8%), and went to bed hungry at least once a week (64.9%). Few identified as a sexual minority (15.8%).

Table 1.

Sample Characteristics

Overall (n=407) Males (n=248) Females (n=159)
Age
 18–29 25.1% 22.7% 28.9%
 30–39 45.3% 43.7% 47.8%
 40–49 21.4% 25.1% 15.7%
 50+ 8.1% 8.5% 7.6%
Race
 Non-Hispanic, white 84.6% 83.4% 86.4%
 Other 15.4% 16.6% 13.6%
Education
 Less than high school 27.3% 27.1% 27.7%
 High school equivalent 35.2% 37.7% 31.5%
 Some college or more 37.4% 35.2% 40.9%
Employment
 Not working 79.6% 76.0% 85.3%
 Part time 10.1% 12.2% 6.7%
 Full time 10.3% 11.8% 8.0%
Single 53.6% 58.9% 45.3%
Sexual Minority 15.8% 8.9% 26.6%
Hungry at least 1x per week 64.9% 64.1% 66.0%
Homeless 55.8% 55.2% 56.6%
Comfortable talking to a doctor about sex 71.2% 68.4% 75.5%
Comfortable talking to a doctor about drugs 69.1% 70.3% 67.1%
Injection related HIV risk 60.9% 62.5% 58.5%
Sex work 18.2% 10.5% 30.2%

Most participants (67.4%) had not heard of PrEP before taking the survey and few had ever used PrEP (3.7%) (Table 2). About one third (33.5%) said they would be “very interested” in taking oral PrEP and an additional quarter (24.8%) said they would be “somewhat interested.” Of the hypothetical PrEP formulations, arm injections every 3 months were of greatest interest (55.7% interested). Abdomen injections (18.9% interest), IV infusions (13.3%), and under-skin implants (22.7%) were the least popular. Among female participants, only about one-quarter were interested in vaginal gels (26.6%) or vaginal rings (28.6%).

Table 2.

Awareness of and Interest in Oral PrEP and Interest in Hypothetical PrEP Forms

Heard of Oral PrEP 132 (32.6%)
Ever Taken Oral PrEP 15 (3.7%)
Interest in Oral PrEP
 Very interested 135 (33.5%)
 Somewhat interested 100 (24.8%)
 Not very interested 82 (20.4%)
 Not interested at all 86 (21.3%)
Interested in Hypothetical Forms of PrEP
 Arm injection every 3 months 209 (55.7%)
 Abdomen injection every 3 months 71 (18.9%)
 IV infusion every 3 months 50 (13.3%)
 Under-skin implant 85 (22.7%)
 Vagina gel (females only) 41 (26.6%)
 Vaginal ring (females only) 44 (28.6%)

Correlates of interest in PrEP were mostly consistent across different formulations (Table 3). Identifying as a sexual minority, being comfortable talking to a doctor about sex, engaging in sex work, and injection-related HIV risk were associated with interest in most PrEP formulations. The only forms of PrEP with substantially different correlates were oral PrEP and a vaginal ring. Interest in oral PrEP was only associated with sharing injection equipment (χ2=6.2, p=0.01) and sex work (χ2=4.2, p=0.04). Interest in a vaginal ring was associated with homelessness (χ2=10.8, p<0.01), identifying as a sexual minority (χ2=7.9, p<0.01), and injection-related HIV risk (χ2=7.5, p<0.01).

Table 3.

Correlates of Interest in Oral and Hypothetical Forms of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention

Oral PrEP (n=403) Arm Injections (n=375) Abdomen Injections (n=375) IV Infusions (n=375) Under Skin Implant (n=375) Vaginal Gel (n=154) Vaginal Ring (n=154)
N (%) χ2, p N (%) χ2, p N (%) χ2, p N (%) χ2, p N (%) χ2, p N (%) χ2, p N (%) χ2, p
Age
 18–29 57 (55.9%) 2.3, 0.51 53 (55.2%) 0.9, 0.83 14 (14.6%) 3.9, 0.27 14 (14.6%) 1.6, 0.67 20 (20.8%) 1.3, 0.72 10 (23.3%) 3.6, 0.30 21 (48.8%) __a
 30–39 105 (57.7%) 96 (55.8%) 40 (23.3%) 25 (14.5%) 42 (24.4%) 24 (31.6%) 23 (30.3%)
 40–49 55 (57.7%) 45 (58.4%) 12 (15.6%) 7 (9.1%) 15 (19.5%) 3 (13.0%) 0 (0.0%)
 50+ 17 (51.5%) 14 (48.3%) 5 (17.2%) 4 (13.8%) 8 (27.6%) 4 (33.3%) 0 (0.0%)
Race
 Non-Hispanic, white 195 (58.6%) 0.0, 0.97 176 (57.0%) 0.4, 0.53 60 (19.4%) 0.2, 0.66 44 (14.2%) 0.7, 0.40 71 (23.0%) 0.0, 0.90 32 (24.6%) 2.1, 0.15 39 (30.0%) 0.9, 0.36
 Other 35 (58.3%) 31 (52.5%) 10 (17.0%) 6 (10.1%) 14 (23.7%) 8 (40.0%) 4 (20.0%)
Gender
 Male 137 (55.9%) 1.5, 0.23 120 (52.9%) 1.9, 0.17 39 (17.2%) 1.2, 0.28 28 (12.3%) 0.5, 0.48 46 (20.3%) 1.9, 0.17 -- --
 Female 98 (62.0%) 89 (60.1%) 32 (21.6%) 22 (14.9%) 39 (26.4%) -- --
Education
 Less than high school 66 (60.0%) 1.3, 0.52 56 (54.9%) 0.3, 0.87 16 (15.7%) 1.0, 0.61 10 (9.8%) 3.9, 0.14 21 (20.6%) 0.7, 0.72 11 (25.0%) 0.8, 0.68 12 (27.3%) 4.6, 0.10
 High school equivalent 87 (60.8%) 76 (57.6%) 27 (20.5%) 15 (11.4%) 29 (22.0%) 15 (31.3%) 19 (39.6%)
 Some college or more 82 (54.7%) 77 (54.6%) 28 (19.9%) 25 (17.7%) 35 (24.8%) 15 (24.2%) 13 (21.0%)
Employment
 Not working 177 (57.7%) 0.1, 0.97 156 (54.9%) 0.3, 0.87 53 (18.7%) 1.7, 0.44 36 (12.7%) 1.4, 0.50 61 (21.5%) 2.5, 0.29 33 (26.6%) 0.9, 0.65 36 (29.0%) 1.3, 0.52
 Part time 23 (59.0%) 22 (59.5%) 10 (27.0%) 7 (18.9%) 11 (29.7%) 4 (40.0%) 2 (20.0%)
 Full time 22 (59.5%) 20 (55.6%) 6 (16.7%) 6 (16.7%) 11 (30.6%) 3 (25.0%) 5 (41.7%)
Single
 Yes 131 (60.7%) 1.0, 0.31 109 (54.0%) 0.6, 0.46 34 (16.8%) 1.3, 0.26 27 (13.4%) 0.0, 0.98 39 (19.3%) 2.8, 0.09 19 (27.5%) 0.1, 0.82 19 (27.5%) 0.1, 0.80
 No 104 (55.6%) 100 (57.8%) 37 (21.4%) 23 (13.3%) 46 (26.6%) 22 (25.9%) 25 (29.4%)
Sexual minority
 Yes 39 (61.9%) 0.4, 0.55 37 (66.1%) 2.9, 0.09 16 (28.6%) 4.0, 0.05 12 (13.3%) 3.7, 0.05 21 (37.5%) 8.3, <0.01 10 (23.8%) 0.2, 0.63 19 (45.2%) 7.9, <0.01
 No 196 (57.8%) 172 (53.9%) 55 (17.2%) 38 (11.9%) 64 (20.1%) 31 (27.7%) 25 (22.3%)
Hungry at least 1x per week
 Yes 151 (57.6%) 0.1, 0.71 137 (56.2%) 0.1, 0.83 49 (20.1%) 0.6, 0.44 33 (13.5%) 0.0, 0.88 59 (24.2%) 0.9, 0.34 26 (25.5%) 0.2, 0.66 33 (32.4%) 2.1, 0.15
 No 84 (59.6%) 72 (55.0%) 22 (16.8%) 17 (13.0%) 26 (19.9%) 15 (28.9%) 11 (21.2%)
Homeless
 Yes 139 (61.2%) 1.8, 0.18 119 (56.7%) 0.2, 0.68 43 (20.5%) 0.7, 0.39 29 (13.8%) 0.1, 0.76 46 (21.9%) 0.2, 0.69 26 (29.9%) 1.1, 0.30 34 (39.1%) 10.8, <0.01
 No 96 (54.6%) 90 (43.6%) 28 (17.0%) 21 (12.7%) 39 (23.6%) 15 (22.4%) 10 (14.9%)
Comfortable talking to a doctor about sex
 Yes 171 (59.6%) 0.7, 0.42 162 (60.0%) 7.1, <0.01 57 (21.1%) 3.0, 0.08 42 (15.6%) 4.1, 0.04 61 (22.6%) 0.0, 0.96 36 (30.8%) 4.3, 0.04 35 (29.9%) 0.4, 0.51
 No 64 (55.3%) 47 (44.8%) 14 (13.3%) 8 (7.6%) 24 (22.9%) 5 (13.5%) 9 (24.3%)
Comfortable talking to a doctor about drugs
 Yes 166 (59.9%) 0.9, 0.34 153 (58.2%) 1.9, 0.17 51 (19.4%) 0.1, 0.76 35 (13.3%) 0.0, 0.96 60 (22.8%) 0.0, 0.95 27 (26.2%) 0.1, 0.82 32 (31.1%) 0.8, 0.37
 No 68 (54.8%) 56 (50.5%) 20 (18.0%) 15 (13.5%) 25 (22.5%) 14 (28.0%) 12 (24.0%)
Injection related HIV risk
 Yes 156 (63.2%) 6.2, 0.01 139 (60.4%) 5.3, 0.02 57 (24.8%) 13.3, <0.01 41 (17.8%) 10.4, <0.01 63 (27.4%) 7.6, <0.01 29 (32.6%) 3.8, 0.05 33 (37.1%) 7.5, <0.01
 No 79 (50.6%) 70 (48.3%) 14 (9.7%) 9 (6.2%) 22 (15.2%) 12 (18.5%) 11 (16.9%)
Sex work
 Yes 52 (68.9%) 4.2, 0.04 46 (67.7%) 4.8, 0.03 20 (29.4%) 5.9, 0.02 13 (19.1%) 2.41, 0.12 22 (32.4%) 4.5, 0.04 17 (36.2%) 3.2, 0.08 16 (34.0%) 1.0, 0.32
 No 184 (55.9%) 163 (53.1%) 51 (16.6%) 37 (12.1%) 63 (20.5%) 24 (22.4%) 28 (26.2%)

Note. Bold indicates tests where p<0.1.

a

Testing not reported due to 0 cells.

The logistic regression analyses highlighted injection-related HIV risk as the most consistent predictor of interest in PrEP, as it remained associated with increased interest in all forms of PrEP except vaginal gels (Table 4). Sexual minority status only remained significantly associated with interest in skin implant and vaginal ring PrEP formulations, when adjusting for other covariates. Sex work did not remain significantly associated with interest in any forms of PrEP in the adjusted models. Comfort talking with a doctor about sex remained associated with interest in arm injections and IV infusions but not abdomen injections or vaginal gels.

Table 4.

Logistic Regression Results for Correlates of Interest in Oral and Hypothetical Forms of Pre-Exposure Prophylaxis (PrEP) for HIV Prevention

Oral PrEP Arm Injections Abdomen Injections IV Infusions Under Skin Implant Vaginal Gel (n=154) Vaginal Ring (n=154)
aOR 95% CI aOR 95% CI aOR 95% CI aOR 95% CI aOR 95% CI aOR 95% CI aOR 95% CI
Single -- -- -- -- -- -- -- -- 0.60 0.36, 1.00 -- -- -- --
Sexual minority -- -- 1.46 0.79, 2.70 1.61 0.81, 3.19 1.82 0.87, 3.83 2.12 1.13, 3.99 -- -- 2.77 1.25, 6.17
Homeless -- -- -- -- -- -- -- -- -- -- -- -- 3.27 1.42, 7.50
Comfortable talking to a doctor about sex -- -- 1.85 1.16, 2.93 1.75 0.91, 3.34 2.29 1.03, 5.12 -- -- 2.64 0.94, 7.44 -- --
Injection-related HIV risk 1.57 1.04, 2.38 1.58 1.02, 2.43 2.91 1.53, 5.51 3.30 1.54, 7.05 1.94 1.11, 3.37 1.91 0.86, 4.25 2.44 1.08, 5.53
Sex work 1.58 0.92, 2.74 1.52 0.85, 2.72 1.53 0.81, 2.90 -- -- 1.60 0.85, 3.00 1.52 0.69, 3.34 -- --

Discussion

Overall, we found that awareness of oral PrEP was low among PWID in Cabell County, West Virginia. Few had previously taken PrEP. This low awareness of PrEP is consistent with previous studies among urban PWID in the United States, which documented 7–24% of PWID were aware of PrEP (Kuo et al., 2016; Sherman et al., 2019; Shrestha et al., 2017; Stein, Thurmond, & Bailey, 2014; Walters et al., 2017). The majority of participants (58.3%) were interested in potentially taking oral PrEP after it was explained to them, which is also consistent with urban PWID studies that found between half and two-thirds of PWID would be interested in taking PrEP (Eisingerich et al., 2012; Escudero et al., 2015; Kuo, et al., 2016; Sherman, et al., 2019; Shrestha, et al., 2017). Arm injections were the most acceptable hypothetical form of PrEP among rural PWID in this study, while all other formulations were largely not of interest. One qualitative study conducted in the northeastern United States similarly found that injectable PrEP was of interest to most PWID and that they perceived that a long-acting injectable would remove some of the barriers to daily oral PrEP, like safe medication storage (Biello et al., 2019). While our findings are an initial exploration of interest in PrEP forms, they can be used to help prioritize the development of new PrEP formulations and inform implementation strategies for rural PWID. PrEP has significant potential to change the HIV landscape in rural settings where other risk reduction services (e.g., syringe service programs) may not be readily available.

The primary correlates of interest in PrEP identified in this study were HIV risk (both injection-related and sex work), identifying as a sexual minority, and being comfortable talking to a doctor about sex. It is plausible that PWID had some level of awareness about their risks for HIV, through either sharing injection equipment or selling sex, and were more likely to be interested in the majority of PrEP forms to lower risks for HIV acquisition. The logistic regression results further indicated that injection-related HIV risk was the most consistent correlate of interest in different PrEP forms, supporting the interpretation that awareness of one’s own risk for HIV may be an important driver of PrEP interest. This is broadly consistent with findings from other samples of PWID (Escudero, et al., 2015; Sherman, et al., 2019). Interestingly, sex work did not remain associated with interest in PrEP forms in the adjusted models, suggesting that injection-related risk may be more salient than sexual risk when determining PrEP interest in this population. Sexual minority individuals were also more likely to be interested in PrEP, possibly because they receive more targeted messaging about it. Such messaging may increase their familiarity and comfort with taking PrEP as a biomedical approach to HIV prevention. Interestingly, being comfortable talking to a doctor about sex, but not drugs, was associated with PrEP interest. It is plausible that PWID perceive discussing sex-related risks with healthcare providers as less stigmatized than injection-related risks. Future work is needed to better understand drivers of PrEP awareness and acceptability among PWID in rural communities.

It is important to note that interest in oral and hypothetical forms of PrEP does not necessarily result in uptake of PrEP among PWID. Low PrEP awareness and limited access to PrEP programs are two barriers that may limit uptake among PWID. Across settings, research has consistently found that PrEP awareness is low among PWID (Kuo, et al., 2016; Sherman, et al., 2019; Shrestha, et al., 2017; Stein, et al., 2014; Walters, et al., 2017), indicating that awareness campaigns and education are needed to inform PWID that PrEP is a possible HIV prevention tool available. Without being aware of PrEP as an HIV prevention strategy, PWID cannot seek out such services. Further, PWID may face a range of barriers to accessing PrEP once they are aware, including a lack of insurance coverage, limited financial resources, lack of transportation, and drug use stigma (Harris and Rhodes, 2013; Lang et al., 2013; Lo et al., 2018; Paquette, Syvertsen, & Pollini, 2018). In order to increase PrEP uptake for this population, education must be paired with concerted efforts to address these barriers and ensure easy and affordable access to PrEP for PWID. Co-locating free or low-cost PrEP services at other programs PWID regularly access, like syringe services programs and HIV testing sites, is one approach that can begin to address barriers to PrEP uptake among those who are interested.

This study has the following limitations that should be addressed in future work. First, our measure of sexual risk for HIV is limited only to sex work as the original study did not have measures of consistent condom use or sexual risk behaviors outside of transactional sex. Further, the questions in this study were based on forms of PrEP that are not currently available. We do not know what complications may exist or any other factors that may arise to affect utilization if these formulations were made available. Finally, the low awareness of oral PrEP may have contributed to hesitancy toward hypothetical forms. While this does not affect interpretations within the study context, generalizing these findings to more PrEP-aware populations should be done with care. Future research should extend the literature by exploring the barriers, facilitators, and benefits of PrEP utilization among rural PWID.

In conclusion, we found that while PrEP was largely not known or used by PWID in Cabell County, West Virginia, many PWID would be interested in taking either the existing oral form of PrEP or receiving an arm injection of PrEP. Participants were largely not interested in other forms of PrEP. Individuals who had high behavioral risks for HIV were more likely to be interested in PrEP, demonstrating participants’ interest in protecting their health regardless of drug use. PrEP is an HIV prevention tool that may be of high value to rural communities that have been heavily affected by the opioid crisis.

Acknowledgments

Funding: This research was supported by a grant from the Bloomberg American Health Initiative at the Johns Hopkins Bloomberg School of Public Health to Dr. Sean T. Allen. Dr. Allen is also supported by the NIH (grant K01DA046234). Dr. Schneider is supported by the National Institute on Drug Abuse (grant 5T32DA007292).This research has been facilitated by the infrastructure and resources provided by the Johns Hopkins University Center for AIDS Research, an NIH funded program (P30AI094189) and the District of Columbia Center for AIDS Research, an NIH funded program (AI117970). The content is solely the responsibility of the authors and does not necessarily represent the views of the funders.

Footnotes

Disclosures: Dr. Susan G. Sherman is an expert witness for plaintiffs in opioid litigation. No other authors have any interests to disclose.

References:

  1. Allen ST, O’Rourke A, White RH, Schneider KE, Kilkenny M, & Sherman SG (2019). Estimating the Number of People Who Inject Drugs in A Rural County in Appalachia. American journal of public health(0), pp. e1–e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Allen ST, White RH, O’Rourke A, Grieb SM, Kilkenny ME, & Sherman SG (2019). Take-home naloxone possession among people who inject drugs in rural West Virginia. Drug and alcohol dependence, 204, p 107581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Alpren C, Dawson EL, John B, Cranston K, Panneer N, Fukuda HD, . . . Peters PJ (2020). Opioid Use Fueling HIV Transmission in an Urban Setting: An Outbreak of HIV Infection Among People Who Inject Drugs—Massachusetts, 2015–2018. American journal of public health, 110(1), pp. 37–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Atkins A, McClung RP, Kilkenny M, Bernstein K, Willenburg K, Edwards A, . . . Kirk N (2020). Notes from the Field: Outbreak of Human Immunodeficiency Virus Infection Among Persons Who Inject Drugs—Cabell County, West Virginia, 2018–2019. Morbidity and Mortality Weekly Report, 69(16), p 499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Biello K, Edeza A, Salhaney P, Biancarelli D, Mimiaga M, Drainoni M, . . . Bazzi A (2019). A missing perspective: injectable pre-exposure prophylaxis for people who inject drugs. AIDS care, 31(10), pp. 1214–1220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Centers for Disease Control and Prevention. (2018). US Public Health Service: Preexposure prophylaxis for the prevention of HIV infection in the United States—2017 Update: clinical providers’ supplement. https://www.cdc.gov/hiv/pdf/risk/prep/cdc-hiv-prep-provider-supplement-2017.pdf.
  7. Cloud DH, Ibragimov U, Prood N, Young AM, & Cooper HL (2019). Rural risk environments for hepatitis c among young adults in appalachian kentucky. International Journal of Drug Policy [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Conrad C, Bradley HM, Broz D, Buddha S, Chapman EL, Galang RR, . . . Patel MR (2015). Community outbreak of HIV infection linked to injection drug use of oxymorphone—Indiana, 2015. MMWR. Morbidity and mortality weekly report, 64(16), p 443. [PMC free article] [PubMed] [Google Scholar]
  9. Cranston K, Alpren C, John B, Dawson E, Roosevelt K, Burrage A, . . . Peters PJ (2019). Notes from the field: HIV diagnoses among persons who inject drugs—Northeastern Massachusetts, 2015–2018. Morbidity and Mortality Weekly Report, 68(10), p 253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Des Jarlais DC, Nugent A, Solberg A, Feelemyer J, Mermin J, & Holtzman D (2015). Syringe service programs for persons who inject drugs in urban, suburban, and rural areas—United States, 2013. MMWR Morb Mortal Wkly Rep, 64(48), pp. 1337–1341. [DOI] [PubMed] [Google Scholar]
  11. Eisingerich AB, Wheelock A, Gomez GB, Garnett GP, Dybul MR, & Piot PK (2012). Attitudes and acceptance of oral and parenteral HIV preexposure prophylaxis among potential user groups: a multinational study. PloS one, 7(1) [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Escudero DJ, Kerr T, Wood E, Nguyen P, Lurie MN, Sued O, & Marshall BD (2015). Acceptability of HIV pre-exposure prophylaxis (PrEP) among people who inject drugs (PWID) in a Canadian setting. AIDS Behav., 19, pp. 752–757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Evans ME, Labuda SM, Hogan V, Agnew-Brune C, Armstrong J, Karuppiah ABP, . . . Cibrik S (2018). Notes from the field: HIV infection investigation in a rural area—West Virginia, 2017. Morbidity and Mortality Weekly Report, 67(8), p 257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Food and Drug Administration. (2014). Truvada for PrEP fact sheet: ensuring safe and proper use.: Retrieved from www.fda.gov/downloads/NewsEvents/Newsroom/FactSheets/UCM312279.pdf.
  15. Gonsalves GS, & Crawford FW (2018). Dynamics of the HIV outbreak and response in Scott County, IN, USA, 2011–15: a modelling study. The Lancet HIV, 5(10), pp. e569–e577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Guise A, Albers ER, & Strathdee SA (2017). ‘PrEP is not ready for our community, and our community is not ready for PrEP’: pre‐exposure prophylaxis for HIV for people who inject drugs and limits to the HIV prevention response. Addiction, 112(4), pp. 572–578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Hamilton County Public Health. (2018). Hamilton County & Northern Kentucky Health Work with CDC to Investigate HIV Cluster. Retrieved Date Accessed, 2020 from https://www.hamiltoncountyhealth.org/announcements/hiv_nky/.
  18. Harris M, & Rhodes T (2013). Hepatitis C treatment access and uptake for people who inject drugs: a review mapping the role of social factors. Harm reduction journal, 10(1), p 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Kuo I, Olsen H, Patrick R, Phillips II G, Magnus M, Opoku J, . . . Kharfen M (2016). Willingness to use HIV pre-exposure prophylaxis among community-recruited, older people who inject drugs in Washington, DC. Drug and alcohol dependence, 164, pp. 8–13. [DOI] [PubMed] [Google Scholar]
  20. Lang K, Neil J, Wright J, Dell CA, Berenbaum S, & El-Aneed A (2013). Qualitative investigation of barriers to accessing care by people who inject drugs in Saskatoon, Canada: perspectives of service providers. Substance abuse treatment, prevention, and policy, 8(1), pp. 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Lo A, Kerr T, Hayashi K, Milloy M-J, Nosova E, Liu Y, & Fairbairn N (2018). Factors associated with methadone maintenance therapy discontinuation among people who inject drugs. Journal of substance abuse treatment, 94, pp. 41–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Northern Kentucky Health Department. (2018). As HIV Cluster Investigation Moves into Second Month, Health Officials Increase Opportunities for HIV Testing. Retrieved Date Accessed, 2020 from https://nkyhealth.org/2018/02/22/as-hiv-cluster-investigation-moves-into-second-month-health-officials-increase-opportunities-for-hiv-testing/.
  23. Paquette CE, Syvertsen JL, & Pollini RA (2018). Stigma at every turn: health services experiences among people who inject drugs. International Journal of Drug Policy, 57, pp. 104–110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Peters PJ, Pontones P, Hoover KW, Patel MR, Galang RR, Shields J, . . . Switzer WM (2016). HIV infection linked to injection use of oxymorphone in Indiana, 2014–2015. New England Journal of Medicine, 375(3), pp. 229–239. [DOI] [PubMed] [Google Scholar]
  25. Schneider KE, O’Rourke A, White RH, Park JN, Musci RJ, Kilkenny ME, . . . Allen ST (2020). Polysubstance use in rural West Virginia: Associations between latent classes of drug use, overdose, and take-home naloxone. International Journal of Drug Policy, 76, p 102642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Sherman SG, Schneider KE, Park JN, Allen ST, Hunt D, Chaulk CP, & Weir BW (2019). PrEP awareness, eligibility, and interest among people who inject drugs in Baltimore, Maryland. Drug and alcohol dependence, 195, pp. 148–155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Shrestha R, Karki P, Altice FL, Huedo-Medina TB, Meyer JP, Madden L, & Copenhaver M (2017). Correlates of willingness to initiate pre-exposure prophylaxis and anticipation of practicing safer drug-and sex-related behaviors among high-risk drug users on methadone treatment. Drug and alcohol dependence, 173, pp. 107–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. StataCorp L (2015). Stata statistical software (version release 14). College Station, TX: StataCorp LP [Google Scholar]
  29. Stein M, Thurmond P, & Bailey G (2014). Willingness to use HIV pre-exposure prophylaxis among opiate users. AIDS and Behavior, 18(9), pp. 1694–1700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Sutton M, Anthony MN, Vila C, McLellan‐Lemal E, & Weidle PJ (2010). HIV testing and HIV/AIDS treatment services in rural counties in 10 southern states: service provider perspectives. The Journal of Rural Health, 26(3), pp. 240–247. [DOI] [PubMed] [Google Scholar]
  31. US Census Bureau. (2012). 2010 census urban and rural classification and urban area criteria. Retrieved Date from https://www.census.gov/geo/reference/ua/urban-rural-2010.html.
  32. US Department of Health & Human Services. (2019). Long-Acting HIV Prevention Tools. Retrieved Date Accessed, 2020 from https://www.hiv.gov/hiv-basics/hiv-prevention/potential-future-options/long-acting-prep.
  33. US Preventive Services Task Force. (2019). Preexposure Prophylaxis for the Prevention of HIV Infection: US Preventive Services Task Force Recommendation StatementUSPSTF Guideline: Preexposure Prophylaxis for the Prevention of HIV InfectionUSPSTF Guideline: Preexposure Prophylaxis for the Prevention of HIV Infection. JAMA, 321(22), pp. 2203–2213. doi: 10.1001/jama.2019.6390 Retrieved from 10.1001/jama.2019.6390 [DOI] [PubMed] [Google Scholar]
  34. Van Handel MM, Rose CE, Hallisey EJ, Kolling JL, Zibbell JE, Lewis B, . . . Siddiqi A-E (2016). County-level vulnerability assessment for rapid dissemination of HIV or HCV infections among persons who inject drugs, United States. JAIDS, 73, pp. 323–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Walters SM, Rivera AV, Starbuck L, Reilly KH, Boldon N, Anderson BJ, & Braunstein S (2017). Differences in awareness of pre-exposure prophylaxis and post-exposure prophylaxis among groups at-risk for HIV in New York State: New York City and Long Island, NY, 2011–2013. JAIDS Journal of Acquired Immune Deficiency Syndromes, 75, pp. S383–S391. [DOI] [PubMed] [Google Scholar]
  36. White RH, O’Rourke A, Bluthenthal RN, Kral AH, Kilkenny ME, Hazelett TD, . . . Allen ST (2020). Initiating Persons into Injection Drug Use in Rural West Virginia, USA. Substance Use & Misuse, 55(2), pp. 337–344. [DOI] [PMC free article] [PubMed] [Google Scholar]

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