Abstract
Pre-exposure prophylaxis (PrEP) has the ability to curb HIV transmission among women if they are highly adherent (e.g. 6/7 weekly doses). In a recent PrEP demonstration project with 95 women who inject drugs (WWID) in Philadelphia, PA, USA, PrEP uptake was high but adherence was low. This qualitative study draws upon the Behavioral Model for Vulnerable Populations (BMVP) to describe how the context of 23 WWID’s lives challenged PrEP adherence using narrative data from in-depth interviews. Content analysis suggests that women’s need to organize their day around predisposing survival needs made it difficult to prioritize PrEP. Adherence was further challenged by dis-enabling structural forces such as entry into institutions that do not provide PrEP (e.g., drug treatment and correctional facilities) and medication diversion to illicit marketplaces. Overtime, women’s perceived need for PrEP was dynamic: in periods they characterized as risky, women considered PrEP highly beneficial and described enhanced motivation to adhere. In periods of low perceived risk, women were less committed to continuing daily PrEP in the context of their competing survival needs. In sum, WWID faced challenges to PrEP adherence that correspond to all of the BMVP domains. To optimize PrEP for WWID, multi-level programs are needed that address the determinants that both increase HIV susceptibility and undermine adherence.
Keywords: HIV, pre-exposure prophylaxis, adherence, persistence, women who inject drugs, qualitative
BACKGROUND
In North America, an estimated 2.5 million people have injected drugs in the previous year, 30% (766,000) of whom are women (1). While new HIV diagnoses among people who inject drugs (PWID) dropped dramatically from 40% in the 1990s to 6% in 2017 (2), injection drug use fueled by the opioid crisis in the United States has been associated with HIV outbreaks in cities and non-urban communities across the country, including Philadelphia where this study takes place (3–6). HIV risk among PWID is increasing along with the surge of illicitly manufactured fentanyl into local drug markets (1). Fentanyl is extremely potent (30–50 times more potent than heroin), has rapid onset, and a comparatively short duration of effect as compared to other injected opioids like heroin (2, 3). Due to the short duration of its effect, PWID report injecting fentanyl more frequently, increasing the likelihood of HIV exposure through syringe sharing and/or behaviors like commercial sex to procure drugs, which is common among women (2–5).
Gendered power inequalities make women who inject drugs (WWID) more vulnerable to HIV than male counterparts (6). Within romantic partnerships, syringe-sharing and condom-use are often perceived as acts of intimacy that demonstrate trust (7–9). As a result, women face difficulties negotiating their use within romantic partnerships (7–9). WWID also face grave economic insecurity fueled by stigma towards PWID and challenges finding formal employment given the need to inject multiple times daily (10). Engagement in commercial sex, a common form of income generation among WWID (11, 12), is associated with increased risk of traumatic exposures from paying partners, including sexual assault (7, 13), as well as limited agency to negotiate condom-use (14–16). Taken together, WWID’s social and economic marginalization greatly reduces women’s autonomy over their HIV risk reduction, highlighting the need for discrete, user-driven HIV prevention options.
Pre-exposure prophylaxis (PrEP) is a user-driven method that effectively reduces HIV risk (17–19). PrEP offers several advantages over other HIV prevention strategies for women. Unlike condoms or sterile syringes, women may be able to use PrEP for HIV prevention without their partner’s involvement. Additionally, PrEP does not need to be taken at the time of sexual or drug activity for prevention, which may benefit WWID who have little control over when or how sexual or drug encounters occur. One important limitation to PrEP is that for women, adherence to PrEP at the recommended 6–7 pills/weekly is required to achieve prevention-effective drug levels (20). Women participating in PrEP clinical trials experienced challenges with daily adherence due to concerns around product safety, effectiveness and stigma (21–25). While two randomized control trials of tenofovir disoproxil fumarate (TDF) and tenofovir–emtricitabine (TDF-FTC) as PrEP with high adherence demonstrated efficacy among women and PWID (20, 26, 27), trials of these same drugs did not demonstrate efficacy in other trials among women due to low adherence and were closed for futility (20, 25, 28).
Despite PrEP’s advantages, WWID have been underrepresented in all phases of PrEP research. This has led to nominal PrEP uptake among WWID (29–31), and as a consequence, little is known about real-world adherence challenges WWID face when taking PrEP (29, 32). A few studies have explored hypothetical barriers to PrEP adherence among PWID samples that include WWID, and have found that participants perceive many barriers to taking daily PrEP (33–35). While these participants were not taking PrEP, they recalled previous challenges taking daily medication to inform their perceptions (33–35). The most commonly described barrier related to how competing needs of addiction severity and housing instability would make it difficult to remember to take PrEP daily (33–35). Additionally, some PWID expressed concerns that PrEP-use could be interrupted by incarceration, which disconnects individuals from regular sources of medication and social services (34). While these studies provide important insight, findings are limited by their use of hypothetical scenarios, which may not reflect barriers WWID face in the real-world. Understanding barriers WWID experienced after accepting a PrEP prescription could help inform implementation research and the development of interventions to promote PrEP adherence in this vulnerable population.
We recently concluded the first community-based PrEP demonstration project designed for WWID (henceforth called Project Sexual Health Equity [SHE]) (36, 37). Among 95 women enrolled and educated about PrEP within the syringe services program (SSP), 69/95 initiated PrEP. Despite initial interest, adherence was consistently low, with only 12/69 having detectable levels of Tenofovir in urine at any point over follow-up. Given WWID would benefit from PrEP, and that daily pills remain the only commercially available PrEP formulation in the US, we explored the research question, “How does the context of WWID’s lives challenge their ability to adhere to daily PrEP?”
Our approach to addressing this question was guided by the Gelberg-Andersen Behavioral Model for Vulnerable Populations (BMVP) (38), which was developed to explain why marginalized individuals are disposed to use health services, and to identify factors that enable or inhibit access to care. With its focus on vulnerable populations, BMVP accounts for the context of access to care, along with the social, economic and public policy environments that influence access (38). The three components to the model are: 1) Predisposing factors that exist prior to an illness that place individuals in a vulnerable position with respect to their ability to receive care, such as substance use and homelessness; 2) Enabling factors that are individual, programmatic and societal supports and barriers to health care access. Together they may be viewed on a continuum, with positive levels of the factor indicating a support and lower, negative levels of a factor indicating a barrier; and 3) Need factors, such as perceived health needs within the population. BMVP has been used extensively to identify the domains that determine healthcare access, including medication adherence, among vulnerable female populations (38–48).
METHODS
Participants and setting
Participants in Project SHE were cisgender women, 18 years or older, reported injection drug use within the last 30 days, and qualified for PrEP based on the 2017 Centers for Disease Control and Prevention guidelines (19). To be eligible for the present analysis, participants had to be enrolled in Project SHE and accept a PrEP prescription from the study’s prescribing provider. Participants were recruited in-person by study staff as participants presented for a follow up visit which occurred 12- and 24-weeks after baseline (hereafter referred to as “first FU” and “second FU”). Participants were sequentially enrolled until saturation, the point in the analysis of data that sampling more data would not lead to more information related to research questions (49), had been reached. Saturation was assessed both in terms of code and meaning saturation (50). Active self-reflection was used to recognize when code saturation had begun: this involved recognizing when during codebook development that no new codes were being added and that the codebook structure had stabilized. This occurred after 18 interviews. However, participants continued to be recruited until a comprehensive understanding of adherence barriers was reached, which speaks to meaning saturation. In total, code and meaning saturation was reached after 23 interviews.
Data Collection
Qualitative data collection occurred between July 2018 and August 2019. Two female interviewers conducted qualitative interviews using a semi-structured guide. Interviews were conducted in a private space at the SSP, were audio recorded using a digital recorder, and lasted one hour. The guide was designed to explore factors that may impact PrEP adherence, gleaned from literature of barriers and facilitators to PrEP uptake and adherence among MSM (51, 52), PWID (53), and women (52, 54), as well as BVMP for theoretical drivers of healthcare utilization. Areas of inquiry and sample questions from the interview-guide are presented in Table 1. Following the interview, participants received a $20 cash incentive. Participants provided written informed consent during their baseline visit, and the protocol was approved by the institutional review boards at [redacted for blind review] University and Prevention Point Philadelphia.
Table 1.
BMVP Construct | Domain | Exemplar interview question | Follow Up |
---|---|---|---|
Predisposing Factors | Substance use disorder | Tell me a little bit about what your daily drug use looks like | |
Housing | Please describe your housing situation | Are there any ways that your housing impacts your ability to take PrEP everyday? | |
Enabling Factors | Exploration of barriers | Describe any situations where you missed taking some of your PrEP pills | |
Medication Diversion | We have heard that some participants are approached by pharmacies to sell their prescription. Can you tell me why you think this may be happening? | ||
Need Factors | HIV Risk | How vulnerable do you think you are to HIV? | If little risk: What are the things you do to keep yourself at low risk for HIV? If risk is perceived: Tell me about what puts you at risk for HIV |
Perceived need for PrEP | Can you talk to me about why you accepted a PrEP prescription? |
Data Analysis
Audio recordings were transcribed verbatim, anonymized, and managed using NVivo (20). Content analysis was used to identify themes regarding barriers to PrEP adherence (21). The objective of content analysis is to systematically transform large amounts of text into a highly organized summary of key results (55). The analysis of the first interview formed the basis of an evolving coding system and provided direction for exploration in future interviews. This recursive and cyclical coding allowed for concurrent data collection and analysis. First, a-priori codes corresponding to BMVP domains in the interview guides were developed for the first codebook iteration. Transcripts were read to gain an understanding of how participants experienced adhering (or not) to PrEP. Codes reflecting unanticipated themes from interviews were added to the codebook. Codes that related to the same issue were sorted into categories. One of the final stages of content analysis is to identify connections among the categories, or themes. At this stage, we used BMVP to organize and frame major themes. Data analysis ended once new themes failed to emerge and it was concluded that saturation was reached. We present below major themes that emerged from our data, organized using BMVP. Quotations are identified using participants’ self-selected pseudonyms and adherence levels via urinalysis at first and second FU visits.
RESULTS
Predisposing Factors: The Context of Women’s Daily Survival Needs Took Precedence over Taking Daily PrEP
To understand participants’ PrEP adherence, it is necessary to first examine the context of participants’ daily lives, particularly the role of predisposing factors,. The main organizing force of women’s day-to-day lives was the need to meet basic survival needs stemming from the intersection of opioid use disorder, economic insecurity, and housing instability. Participants injected fentanyl on average 4.6 times every day to stave off painful opioid withdrawal symptoms (see Table 2): You’re only high for a short period. You’re sick again in literally three hours and you have to use again. You have to keep buying more [drugs]. It’s a very expensive and time-consuming habit (Farrah, nonadherent at first and second FU). How women would acquire money to maintain their opioid habit was a constant concern, given that most earned less than $10,000/year: Everyday, everyone out here pretty much is worried about getting their next dollar to get well or to get high. I have been out for days with no money, being like, ‘Oh my god where is my next dollar coming from’ (Sunday, nonadherent at first FU and loss to follow up at second FU)? Intertwined with opioid use disorder and economic insecurity was housing instability, which was experienced by 16/23 participants. Homeless women commonly described avoiding sleep as much as possible: A lot of us girls on the street, we are up for so many days because we are afraid to sleep because it is so common that men attack you in your sleep. You even gotta protect yourself in your sleep (B, nonadherent at first and second FU). Women also had to be on constant high alert to protect personal belongings, which many carried with them at all times to prevent them from being stolen: Everything I own I lug around from place to place. I get scared because stuff gets stolen all the time. It’s happened twice in this past week. All my stuff is gone (Adrianna, inconsistent adherence at first FU, nonadherent at second FU).
Table 2.
Qualitative Subset (N=23) N(%) |
|
---|---|
Age mean (±std) | 36.1 (±7.4) |
Income | |
$0–4,999 | 10 (43.5) |
$5,000–9,999 | 4 (17.4) |
≥$10,000 | 9 (39.1) |
Insurance Type | |
Public Insurance | 21 (91.2) |
Private Insurance | 1 (4.4) |
No insurance | 1 (4.4) |
Race | |
NH White | 16 (69.6) |
NH Black | 3 (13.0) |
NH Other Racea | 0 (0.0) |
Hispanic Ethnicity | 4 (17.4) |
Currently Homeless | 16 (69.6) |
Spends most time in SEP neighborhood | 17 (73.9) |
10 or more arrests in lifetime | 11 (47.8) |
Daily injection drug useb | 17 (73.9) |
Mean number of injections per day (±std) | 4.6 (3.1) |
Inconsistent condom useb | 17 (73.9) |
Transactional sexb | 15 (65.2) |
Self-perceived HIV risk | 11 (47.8) |
very/extremely likely | |
PrEP Adherence | |
12 Week Self-Report | N=23 |
Non-adherent | 4 (17.4) |
Inconsistent | 7 (30.4) |
Adherent | 12 (52.2) |
12 Week Urinalysis | N=18c |
Non-adherent | 13 (72.2) |
Inconsistent | 4 (22.2) |
Adherent | 1 (5.6) |
24 Week Self-Report | N=18 |
Non-adherent | 5 (27.7) |
Inconsistent | 7 (40.0) |
Adherent | 6 (33.3) |
24-Week Urinalysis | N=12d |
Non-adherent | 10 (83.4) |
Inconsistent | 1 (8.3) |
Adherent | 1 (8.3) |
includes Asian, Pacific Islander, Native Hawaiian, and mixed race
within last 6 months
does not add to 23 due to missing urinalysis data
does not add to 18 due to missing urinalysis data
By positioning PrEP in the wider context of women’s daily lives and survival needs, it is possible to identify the predisposing factors that challenged their ability to prioritize daily PrEP:
I don’t think it was my first priority to take [PrEP] on a daily basis. I’m a dope fiend, so my priority is to get dope... Living while homeless in an active addiction--especially as a woman-- PrEP just isn’t my priority. My priority is to get well. My second is to get my ass washed. My last thought is PrEP (Sunday, not-adherent at first FU and lost to follow up at second FU).
Because PrEP ranked relatively low compared to other basic needs, women had trouble remembering to take it every day:
It just always skips my mind [to take PrEP]...I wake up and gotta get my morning bag, then I’m out there trickin’, then I’m looking for a cup of coffee. Do you get it? I just forget about it. There’s just never time to get my thoughts together to remember about PrEP (Prepper, inconsistent adherence at first FU, lost to follow up at second FU)
Additionally, women who did not have stable housing often described how the lack of safe pill storage lead to pills being lost or stolen:
Being homeless makes [taking PrEP] harder cuz everything keeps getting stolen… it’s not like I live in an apartment and can just put it in my medicine cabinet…I gotta hide stuff. I had my bag where all my clothes were, and the [PrEP] pills were, because I try not to carry around a lot of stuff on me. I went back there the one night and my stuff was thrown all over the place. It was like somebody dumped them out and they were all over the ground (Tina, not-adherent at first FU, lost to follow up at second FU)
As points of comparison to living on the street, living in homeless shelters or their own apartments offered women safer and more reliable storage for pills, which facilitated more consistent PrEP use. For example, one participant who adhered to PrEP based on urinalysis attributes her adherence to her ability to safely store PrEP within her own apartment:
I have a better [adherence] outcome cuz I have a home...If I put [PrEP] down it’s gonna be there. If you’re livin’ on the street, you sit your bag down on the ground, somebody runs off with it, or you forget it, or you just can’t carry it (Sprinkles, adherent at first FU, missing adherence data at second FU).
Three participants transitioned from living on the streets to living in homeless shelters over the course of the study. The increased security of living in a shelter freed up time to remember to take PrEP:
[Taking PrEP] is easier now in the shelter because I’m less stressed. I have more of a daily routine. I’m not running around worrying about where I’m gonna sleep. The last thing I was worried about was taking a pill everyday...so I really wasn’t taking it that much until I got to the shelter, then I was taking it more (JJ, nonadherent at first FU, inconsistent adherence at second FU)
Another critical predisposing factor was women’s low-taking medication self-efficacy. Women commonly used words like “irresponsible” and “forgetful” to describe themselves. Many attributed low PrEP adherence to the belief that PWID are generally unable to commit to daily responsibilities, such as taking daily medication: You know, people like drug addicts, we aren’t good at doing things on a consistent basis more or less. So I can’t say that I’m gonna take a pill every day even if it’s gonna save my life (Farrah, nonadherent at first and second FU).
Similarly:
Unfortunately I’m just not responsible enough to wake up every morning to take a pill. You think it is the easiest thing to do. It’s like brushing your teeth, right? But I just can’t do it (Bizz, nonadherent at first and second FU). Taken together, women’s low self-efficacy and their need to prioritize daily survival challenged participants’ ability to take daily PrEP. While many attributed their lack of PrEP adherence to being irresponsible, their narratives reveal that they are highly motivated and responsible for attending to their daily survival needs. However, the challenges of daily survival made prioritizing daily PrEP nearly impossible.
Enabling Factors: Structural Factors Challenged PrEP Adherence
Adherence was also impact by structural dis-enabling forces, such as the black market for prescription drugs as well as participation in institutions (e.g., drug treatment or carceral facilities) that do not support PrEP continuation. First, women’s dire economic situation was exploited by predatory pharmacies who were willing to purchase PrEP, a medication worth $2,000 a month at the time of the study (23), for a fraction of that cost. PrEP diversion became a viable and relatively safe income generating activity: Kensington is a big drug market. [Selling prescriptions] is just another way for someone to make money (Bizz, nonadherent at first and second FU). It was rumored by multiple participants that women frequently sold their paper PrEP prescription to local pharmacies: I feel like a rat for telling you guys this...There is a pharmacy offering like $100 if we brought the script to them, not the pills, but the script. So instead of getting the PrEP medication, they’re selling the prescription to them (Tina, nonadherent at first FU, lost to follow up by second FU). The sale of prescriptions to pharmacies was not unique to PrEP; participants reported pharmacies purchased a variety of high-demand medical technologies: [Pharmacies] are buying everything. Like, Latuda--a once-a-day medication for bi-polar. They’re buying it for $1500 bucks...You can sell diabetic test strips, a whole bunch of stuff...I know like four pharmacies that do it (Mel, nonadherent at first and second FU). Due to the weight of their need to generate income for daily survival, selling PrEP prescriptions outweighed the value of taking PrEP for some women: People in the study sell their PrEP meds to pharmacies all the time because...they need that money right now. Medicine doesn’t help you right now (Kate, nonadherent at first and second FU).
Further, participants described a total lack of support for PrEP continuation from institutions they chose (e.g., drug treatment) or were forced (e.g., jail) to participate in. Some women described that these institutions refused to provide them with PrEP because of the facility’s policies:
I wanted to take [PrEP] when I was in jail, and they wouldn’t give it to me because they said I didn’t have [HIV]…I woulda took it. But they said that it’s an expensive medication. And if I don’t have [HIV], then the jail didn’t want to cover it. And I told them that I was in a study, and it—that wasn’t good enough (Mama, nonadherent at first and second FU)
Other women described challenges remembering to bring their PrEP pills as they moved between the community and in-patient opioid treatment centers:
[I was taking PrEP] maybe a couple weeks, and then I missed a little bit because I was in [New] Jersey for about a month for [inpatient drug treatment] and didn’t bring my PrEP…And then I came back and I started taking [PrEP] again and once again I went out to Jersey to kick the habit and then I started to get high again...But that’s why there were times when I would miss it and then I would get back on it (Little, inconsistent first and second FU).
Predisposing factors within the context of women’s daily lives, such as poverty and addiction, directly challenged their ability to adhere to PrEP. However, this context also made them vulnerable to dis-enabling factors in the form of structural obstacles that further challenged daily adherence.
Need Factors: Women’s Perceived Need for PrEP Fluctuated with their Drug Use and HIV Risk Perception
In BMVP, perceived health needs often determine whether or not individuals engage in care. In the context of our study, participants’ perception of their need for PrEP was complex and dynamic, changing greatly over time, which influenced adherence. Because of the longitudinal nature of the study, we observed many transitions in women’s lives, including going from periods of drug use to abstinence. When women were in periods of active drug use, their need to generate income corresponded to engaging in behavior that elevated their HIV risk, such as engaging in transactional sex: If I got no money to get no dope... I’m gonna look out for a [transactional sex client]. I’ve had 3, 4, 5,[clients] in a day... It is exhausting (Kate, nonadherent at first and second FU). Within the intersection of poverty and transactional sex, some women were unable to negotiate condom use:
I’ve slept with a couple guys without [condoms]...Shit happens and sometimes you’re desperate... It’s not that you want to do it...it’s just—When you’re sick, you’re sick. And the money sounds right. But then after you are like, ‘What did I do?’ (Anonymous, nonadherent at first FU, loss to follow-up second FU)
Participants who were experiencing periods of high perceived risk were more motivated to take PrEP consistently. For example, one participant described that a recent sexual assault while engaging in transactional sex heightened her perceived HIV risk and made her increase her PrEP use: I was taking [PrEP] on and off but now I don’t plan on ever stopping PrEP. As long as there’s HIV out here, and there’s asshole mother fuckers that do what they did to me, I will always take it (JJ, nonadherent at first FU, inconsistent at second FU). Similarly, the only two participants who adhered to PrEP discussed still feeling at consistently high risk for HIV: I know I should take [PrEP]. I think it’s a very good idea. I still see this one [transactional sex client], and I use condoms, but the condom could break. I just think it’s safe if I just stay on the [PrEP]medication as much as I can (Sprinkles, adherent at first FU, missing adherence data at second FU).
When women stopped using drugs over the course of the study, their perceived need for PrEP often decreased:
I stopped taking PrEP cuz I stopped doing drugs. When I stopped doing drugs, I didn’t feel like I had to have sex for money or anything like that. Getting on suboxone changed my risk. I’m not doing drugs. I’m not going out chasing the drugs, not caring what I’m doing. I’m actually caring what I’m doing now (Gem, inconsistent at first FU, nonadherent second FU).
Similarly:
I actually ran out [of PrEP] when I was in rehab. But even if I hadn’t, I woulda stopped taking them because at that point I’m thinking with a clear mind, ‘I’m healthy now. I’m not putting myself at risk. Why take this pill everyday? (Sunday, nonadherent at first FU, loss to follow up second FU). Awareness of how HIV risk fluctuates lead to some participants stockpiling PrEP to use during future periods of HIV risk:
I started [PrEP] at first but then decided I was gonna start saving them to have a supply for when I felt more at risk. I wanted to have my stash for if I were to become more in my habit and I were in the street, whatever the case may be. So that I had them when I become at risk [for HIV] (Anonymous, inconsistent at first FU, nonadherent at second FU)
Women’s perceptions of their HIV risk were complex and fluctuated with periods of drug use and abstinence. The dynamic nature of perceived HIV risk and subsequent perceived need for PrEP made it difficult for women to remain motivated to take daily HIV prevention medication.
Discussion
Drawing from the first PrEP demonstration study for WWID, we utilized BMVP to explore how the context of women’s lives challenged adherence to daily PrEP. Most participants in this sample were living in a state of grave economic insecurity and were homeless. Having nowhere safe to sleep or store medications, both predisposing factors, impeded adherence in two ways: first, it increased social and physical vulnerability which led to a state of near constant stress which challenged their ability to prioritize PrEP. Second, it made them susceptible to schemes to quickly generate income such as selling PrEP prescriptions to predatory pharmacies for a nominal fee, a form of prescription drug diversion. One lesson that clearly emerged from our data is the need to address the syndemic nature of women’s HIV risk that also challenged adherence.
Womens’ low medication-taking self-efficacy also emerged as a barrier to PrEP adherence. Self-efficacy is a construct derived from Bandura’s social-cognitive theory that considers individuals’ perceptions of their own capabilities as playing a key role in behavior change (56). The importance of medication-taking self-efficacy for adherence is supported by vast literature (46, 57–61). For example, in their study of people who use drugs in Florida, Waldrop-Valverde et al (2014) reported that self-efficacy for taking antiretroviral therapy (ART) was significantly predictive of dose adherence and number of days adherent over a 6-month follow up period (61). In our study, self-efficacy may have been conditioned by internalized stigma, which involves endorsing negative beliefs associated with socially devalued characteristics, such as history of substance use, and applying them to the self (62). This was evinced by participants’ negative descriptions of PWID (e.g. as being irresponsible) as explanations for low adherence. The relationship between internalized sstigma and medication-taking self-efficacy, and their combined affect on medication adherenece, has been described by others (63). It is important to note that we did not explicitly measure stigma, but found internalized stigma emerged from the data. Given the literature that describes how other stigma mechanisms, such as anticipated and experienced stigma (64), also negatively impact PrEP use (24, 65), an area for future research is how various sources and intersections of stigma, as well as self-efficacy, influence PrEP adherence among WWID.
Our data suggest there is an active street market for PrEP involving patients and pharmacies, which emerged as a barrier to adherence. Our study is not the first to document the diversion of ART to illicit marketplaces in exchange for money (66–72). However, ours is the first that we know of to uncover diversion of PrEP prescribed to PWID. Participants in our study described diversion occurring with local pharmacies in a medication fraud schema previously described by Inciardi et al (2007) (73). Namely, patients fill their prescriptions through Medicaid at local “mom and pop” pharmacies, then sell the medication back to the pharmacy for a fraction of the retail value. The medication is then resold by the pharmacy for profit or full Medicaid reimbursement (73). A dearth of regulation in pharmaceutical pricing and patent laws has resulted in the high cost of ART, making them highly profitable in the illicit marketplace (74). Small independent pharmacies may participate in diversion to stay competitive in a market dominated by large-chain pharmacies (75). While WWID may participate in medication diversion due to economic hardship, the patient is almost always lowest on the diversion chain, benefitting the least financially (8). Women in our study reported receiving $100-$200 for their prescription while this medication carried a list price of up to $2000 at the time of our study (76). While clinicians should be aware of the market for PrEP, and the potential for such markets to challenge adherence, care must be taken not to restrict patients’ supplies, such as under-prescribing PrEP to PWID out of fear of medication diversion, which has been found in other studies (70, 77).
WWID in this sample (and in other studies (78–80)) had frequent contact with criminal justice and drug treatment systems, neither of which were reported to support PrEP continuation. With the case of incarceration, the Medicaid Inmate Exclusion Policy forces most detainees off the Medicaid roles at entry (81). This policy has been shown to lead to long-lasting Medicaid coverage gaps after reentry (82) and decreased rates of filling prescriptions (83). While people retain insurance coverage when receiving inpatient drug treatment, PrEP-use may be interrupted by policies requiring preapproval of outside medications (84), and substance use treatment providers may be less likely to prescribe PrEP to patients due to providers’ low PrEP awareness and concerns about costs necessary to prescribe and monitor PrEP use (34, 85). Therefore, guidance and policy are needed to ensure continuity of PrEP care on entry and exit from custodial settings.
Finally, PrEP adherence was influenced by fluctuations in perceived HIV risk and subsequent need for PrEP. When participants felt at risk for HIV, they were motivated to take PrEP, though they still struggled to adhere given predisposing and dis-enabling factors. When women perceived they were at low risk for acquiring HIV, such as during periods of abstinence from drug use, they discontinued PrEP. Others have cited this phenomena as seasons of risk (86). Although women’s HIV risk may be objectively lower during periods of abstinence, PWID risk relapse, making PrEP persistence important for long-term harm reduction. Additionally, individuals interested in re-starting PrEP during periods of high perceived HIV risk will need to be supported by staff who know how to safely re-start individuals on PrEP, which may include getting re-tested for HIV to ensure they remain PrEP-eligible.
BMVP provided a valuable framework for identifying predisposing, enabling, and need-related factors that challenged adherence. Utilizing all three components of the theory was critical for identifying how factors directly contributed to non-adherence, as well as understanding bidirectional processes through which predisposing factors heightened vulnerability to enabling factors, and outweighed motivations to adhere during periods of perceived need. There are three conceptual points related to BMVP to be noted. First, although we used the established categories of BMVP and grouped substance use under predisposing factors, a social construction perspective to substance use would maintain that the negative impact of drug use on medication adherence is shaped by judgmental and punitive social policies and practices (87, 88) and are not individual predisposing characteristics. For example, people with substance use disorder who have more social capital most likely would not experience the same adherence challenges that result from being homeless. Therefore, from a social construction perspective, characteristics related to substance use would be categorized under enabling domains, which we recommend researchers consider in future work guided by BMVP. Second, the concept of self-efficacy is considered a predisposing factor. While participants in this study explicitly discussed self-efficacy as it relates to their ability to take daily medication, it is possible to interpret that self-efficacy, and more broadly “power,” permeate all BMVP components: For example, within enabling factors, women lacked power in accessing PrEP while incarcerated, despite requesting it. Related to need, economic insecurity challenged their ability to negotiate condom use with paying partners, which increased their perceived need for PrEP. Despite this, the myriad of competing needs left many powerless to adhere. Therefore, interventions seeking to improve PrEP adherence among vulnerable women will need to address power. While we believe BMVP allowed us to identify these power constructs because it is a model for vulnerable populations and often applied to women, other theories that explicitly measure these constructs, such as Theory of Gender and Power (89), could be a complementary model for future research. Lastly, individuals’ perceptions of their HIV risk and subsequent need for PrEP fluctuated over the course of the study, suggesting that the “need” BMVP component would benefit from measures that capture the nuance of how perceptions of risk change over time.
Study findings must be interpreted within the limitations of the design of a small, exploratory, qualitative study. Participants in this study were recruited during participation in a longitudinal demonstration project at an established SSP, so they represent a group of WWID who were retained long enough to initiate PrEP and be recruited for an interview. WWID who were lost to follow-up may have different perceptions about PrEP and face a different set of challenges to adherence. This also suggests that findings can only be interpreted as adherence challenges when PrEP is offered at an SSP, as opposed to other medical settings. Given that our Project SHE demonstration study (90), as well as others (91, 92), have identified the role SSPs can play in increasing access to PrEP for PWID, implementation science research is needed to identify the resources SSPs will need to scale up PrEP prescription and adherence support. Lastly, adherence was categorized based on tenofovir-based urinalysis results, which only report on past 48-hour adherence. This may be an insufficient recall period to understand true adherence patterns. Future studies should include specimen with a longer lookback such as dried blood spots or hair.
Despite these limitations, findings have multiple implications for practice and policy. Women’s unstable lives made it difficult for women to prioritize taking daily PrEP and vulnerable to predatory pharmacies. Structural and/or financial interventions, such as permanent supportive housing and income assistance via contingency management would be novel interventions that support women establish routines and decreases their need to divert to illegal marketplaces for income generation. For example, Housing First, an approach that offers lowbarrier housing and case management services to PWID (45), has been associated with improved adherence to a variety of medications for participants (46–48) and could also improve PrEP adherence. Additionally, offering storage lockers for WWID to safeguard medication and other personal belongings may also be a quick solution to improve sense of security and decrease loss of medication. Strategies to improve access to PrEP while in carceral or inpatient drug treatment programs could include staff education about PrEP and advocacy around ending Medicaid Inmate Exclusion Policy to allow for federal Medicaid funds to pay for preventative care during incarceration. Related to women’s struggles with prioritizing daily PrEP, continuing PrEP while incarcerated or in substance treatment, and dynamic perceived need for PrEP, having long-acting forms of PrEP available to WWID that confer longer periods of HIV prevention also removes the challenge of remembering to take daily medication or persisting on it while in incarceration or drug treatment settings. Clinical studies are assessing efficacy of once-monthly oral PrEP (51), subdermal implants (52) and injectables (53), and studies show that these forms of PrEP are acceptable among PWID (54–56). Providing multiple PrEP modality options and supporting women as they decide which modality best responds to their real-world adherence challenges may improve PrEP adherence and decrease HIV transmission among this vulnerable population (57).
Taken together, findings from this analysis present some of the first data to examine PrEP adherence among WWID enrolled in a demonstration project. We found that women face multi-level challenges to PrEP adherence. WWID struggled daily to survive in the context of poverty, housing instability and opiate addiction, which made it nearly impossible to take daily PrEP. Assisting WWID with basic needs (safety and security in housing and related resources), consistent access to PrEP in jails and drug treatment programs and offering alternatives to daily oral PrEP are potential strategies to optimize HIV prevention through PrEP in this vulnerable population.
Research Highlights.
Poverty and homelessness made it difficult for women to prioritize daily PrEP use
Predatory pharmacies facilitated PrEP medication diversion
Criminal justice and drug treatment policies challenged PrEP continuation
Fluctuations in perceived HIV risk impacted perceived need for PrEP
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Frank RG, Pollack HA. Addressing the fentanyl threat to public health. New England journal of medicine. 2017;376(7):605–7. [DOI] [PubMed] [Google Scholar]
- 2.Mayer S, Boyd J, Collins A, Kennedy MC, Fairbairn N, McNeil R. Characterizing fentanyl-related overdoses and implications for overdose response: findings from a rapid ethnographic study in Vancouver, Canada. Drug and alcohol dependence. 2018;193:69–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Somerville NJ, O’Donnell J, Gladden RM, Zibbell JE, Green TC, Younkin M, et al. Characteristics of fentanyl overdose—Massachusetts, 2014–2016. MMWR Morbidity and mortality weekly report. 2017;66(14):382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lambdin BH, Bluthenthal RN, Zibbell JE, Wenger L, Simpson K, Kral AH. Associations between perceived illicit fentanyl use and infectious disease risks among people who inject drugs. International Journal of Drug Policy. 2019;74:299–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Allen ST, White RH, O’Rourke A, Ahmad NJ, Hazelett T, Kilkenny ME, et al. Correlates of transactional sex among a rural population of people who inject drugs. AIDS and Behavior. 2020;24(3):775–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Des Jarlais DC, Feelemyer JP, Modi SN, Arasteh K, Hagan H. Are females who inject drugs at higher risk for HIV infection than males who inject drugs: an international systematic review of high seroprevalence areas. Drug and alcohol dependence. 2012;124(1):95–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Shannon K, Kerr T, Allinott S, Chettiar J, Shoveller J, Tyndall MW. Social and structural violence and power relations in mitigating HIV risk of drug-using women in survival sex work. Soc Sci Med. 2008;66. [DOI] [PubMed] [Google Scholar]
- 8.El-Bassel N, Gilbert L, Witte S, Wu E, Hunt T, Remien RH. Couple-based HIV prevention in the United States: advantages, gaps, and future directions. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2010;55:S98–S101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Amaro H. Love, sex, and power: considering women’s realities in HIV prevention. Am Psychol. 1995;50. [DOI] [PubMed] [Google Scholar]
- 10.Pinkham S, Malinowska-Sempruch K. Women, harm reduction and HIV. Reproductive health matters. 2008;16(31):168–81. [DOI] [PubMed] [Google Scholar]
- 11.Jenness SM, Kobrak P, Wendel T, Neaigus A, Murrill CS, Hagan H. Patterns of exchange sex and HIV infection in high-risk heterosexual men and women. Journal of Urban Health. 2011;88(2):329–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Rondinelli AJ, Ouellet LJ, Strathdee SA, Latka MH, Hudson SM, Hagan H, et al. Young adult injection drug users in the United States continue to practice HIV risk behaviors. Drug and alcohol dependence. 2009;104(1–2):167–74. [DOI] [PubMed] [Google Scholar]
- 13.Shannon K, Csete J. Violence, condom negotiation, and HIV/STI risk among sex workers. Jama. 2010;304(5):573–4. [DOI] [PubMed] [Google Scholar]
- 14.Johnston CL, Callon C, Li K, Wood E, Kerr T. Offer of financial incentives for unprotected sex in the context of sex work. Drug and alcohol review. 2010;29(2):144–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ntumbanzondo M, Dubrow R, Niccolai LM, Mwandagalirwa K, Merson M. Unprotected intercourse for extra money among commercial sex workers in Kinshasa, Democratic Republic of Congo. AIDS care. 2006;18(7):777–85. [DOI] [PubMed] [Google Scholar]
- 16.Rao V, Gupta I, Lokshin M, Jana S. Sex workers and the cost of safe sex: the compensating differential for condom use among Calcutta prostitutes. Journal of Development Economics. 2003;71(2):585–603. [Google Scholar]
- 17.Thigpen MC, Kebaabetswe PM, Paxton LA, Smith DK, Rose CE, Segolodi TM, et al. Antiretroviral Preexposure Prophylaxis for Heterosexual HIV Transmission in Botswana. N Engl J Med. 2012;367(5):423–34. [DOI] [PubMed] [Google Scholar]
- 18.Sheth AN, Rolle CP, Gandhi M. HIV pre-exposure prophylaxis for women. J Virus Erad. 2016;2(3):149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Choopanya K, Martin M, Suntharasamai P, Sangkum U, Mock PA, Leethochawalit M, et al. Antiretroviral prophylaxis for HIV infection in injecting drug users in Bangkok, Thailand (the Bangkok Tenofovir Study): a randomised, double-blind, placebo-controlled phase 3 trial. The Lancet. 2013;381(9883):2083–90. [DOI] [PubMed] [Google Scholar]
- 20.Thomson KA, Baeten JM, Mugo NR, Bekker LG, Celum CL, Heffron R. Tenofovir-based oral preexposure prophylaxis prevents HIV infection among women. Curr Opin HIV AIDS. 2016;11(1):18–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Corneli A, Perry B, McKenna K, Agot K, Ahmed K, Taylor J, et al. Participants’ explanations for nonadherence in the FEM-PrEP clinical trial. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2016;71(4):452–61. [DOI] [PubMed] [Google Scholar]
- 22.Amico KR, Wallace M, Bekker L-G, Roux S, Atujuna M, Sebastian E, et al. Experiences with HPTN 067/ADAPT study-provided open-label PrEP among women in Cape Town: facilitators and barriers within a mutuality framework. AIDS and Behavior. 2017;21(5):1361–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.van der Straten A, Stadler J, Montgomery E, Hartmann M, Magazi B, Mathebula F, et al. Women’s experiences with oral and vaginal pre-exposure prophylaxis: the VOICE-C qualitative study in Johannesburg, South Africa. PLoS One. 2014;9(2):e89118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Velloza J, Khoza N, Scorgie F, Chitukuta M, Mutero P, Mutiti K, et al. The influence of HIV-related stigma on PrEP disclosure and adherence among adolescent girls and young women in HPTN 082: a qualitative study. Journal of the International AIDS Society. 2020;23(3):e25463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Van Damme L, Corneli A, Ahmed K, Agot K, Lombaard J, Kapiga S, et al. Preexposure prophylaxis for HIV infection among African women. New England Journal of Medicine. 2012;367(5):411–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Baeten JM, Donnell D, Ndase P. Antiretroviral prophylaxis for HIV prevention in heterosexual men and women. N Engl J Med. 2012;367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Choopanya K, Martin M, Suntharasamai P. Antiretroviral prophylaxis for HIV infection in injecting drug users in Bangkok, Thailand (the Bangkok Tenofovir Study): a randomised, double-blind, placebo-controlled phase 3 trial. The Lancet. 2013;381. [DOI] [PubMed] [Google Scholar]
- 28.Marrazzo JM, Ramjee G, Richardson BA, Gomez K, Mgodi N, Nair G, et al. Tenofovir-based preexposure prophylaxis for HIV infection among African women. New England Journal of Medicine. 2015;372(6):509–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mera Giler R, Trevor H, Bush S, Rawlings K, McCallister S, editors. Changes in truvada (TVD) for HIV pre-exposure prophylaxis (PrEP) utilization in the United States:(2012–2016). 9th International AIDS Society Conference on HIV Science; 2017. [Google Scholar]
- 30.Glick JL, Russo R, Jivapong B, Rosman L, Pelaez D, Footer KH, et al. The PrEP Care Continuum Among Cisgender Women Who Sell Sex and/or Use Drugs Globally: A Systematic Review. AIDS Behav. 2019;24:1312–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.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]
- 32.Glick JL, Russo R, Jivapong B, Rosman L, Pelaez D, Footer KH, et al. The PrEP Care Continuum Among Cisgender Women Who Sell Sex and/or Use Drugs Globally: A Systematic Review. AIDS and behavior. 2019:1–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Allen ST, O’Rourke A, White RH, Smith KC, Weir B, Lucas GM, et al. Barriers and Facilitators to PrEP Use Among People Who Inject Drugs in Rural Appalachia: A Qualitative Study. AIDS and Behavior. 2019:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Biello K, Bazzi A, Mimiaga M, Biancarelli D, Edeza A, Salhaney P, et al. Perspectives on HIV pre-exposure prophylaxis (PrEP) utilization and related intervention needs among people who inject drugs. Harm reduction journal. 2018;15(1):55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Footer KH, Lim S, Rael CT, Greene GJ, Carbolla-Diéguez A, Giguere R, et al. Exploring new and existing PrEP modalities among female sex workers and women who inject drugs in a US city. AIDS care. 2019:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Felsher M, Ziegler E, Smith LR, Sherman SG, Amico KR, Fox R, et al. An Exploration of Pre-exposure Prophylaxis (PrEP) Initiation Among Women Who Inject Drugs. Archives of Sexual Behavior. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Roth AM, Tran NK, Felsher MA, Gadegbeku AB, Piecara B, Fox R, et al. Integrating HIV pre-exposure prophylaxis with community-based syringe services for women who inject drugs: Results from the Project SHE demonstration study. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2020;Publish Ahead of Print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Gelberg L, Andersen RM, Leake BD. The Behavioral Model for Vulnerable Populations: application to medical care use and outcomes for homeless people. Health services research. 2000;34(6):1273. [PMC free article] [PubMed] [Google Scholar]
- 39.Victor G, Kheibari A, Staton M, Oser C. Appalachian women’s use of substance abuse treatment: Examining the behavioral model for vulnerable populations. Journal of social work practice in the addictions. 2018;18(2):192–213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Oser CB, Bunting AM, Pullen E, Stevens-Watkins D. African American female offender’s use of alternative and traditional health services after re-entry: Examining the behavioral model for vulnerable populations. Journal of health care for the poor and underserved. 2016;27(2A):120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Sporl CA. Understanding health care underutilization among low-income single mothers and their children: An application of the gelberg-anderson behavioral model for vulnerable populations: University of Kentucky; 2012. [Google Scholar]
- 42.Bazargan M, Bazargan SH, Farooq M, Baker RS. Correlates of cervical cancer screening among underserved Hispanic and African-American women. Preventive medicine. 2004;39(3):465–73. [DOI] [PubMed] [Google Scholar]
- 43.Shamburger-Rousseau A Rehabilitation service utilization among African American women living with HIV/AIDS: Using the behavioral model for vulnerable populations. 2013.
- 44.Ackerson K, Gretebeck K. Factors influencing cancer screening practices of underserved women. Journal of the American Academy of Nurse Practitioners. 2007;19(11):591–601. [DOI] [PubMed] [Google Scholar]
- 45.Gonzalez P, Castaneda SF, Mills PJ, Talavera GA, Elder JP, Gallo LC. Determinants of breast, cervical and colorectal cancer screening adherence in Mexican–American women. Journal of community health. 2012;37(2):421–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bazzi AR, Drainoni M-L, Biancarelli DL, Hartman JJ, Mimiaga MJ, Mayer KH, et al. Systematic review of HIV treatment adherence research among people who inject drugs in the United States and Canada: evidence to inform pre-exposure prophylaxis (PrEP) adherence interventions. BMC public health. 2019;19(1):31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Holtzman CW, Shea JA, Glanz K, Jacobs LM, Gross R, Hines J, et al. Mapping patient-identified barriers and facilitators to retention in HIV care and antiretroviral therapy adherence to Andersen’s Behavioral Model. AIDS care. 2015;27(7):817–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Matthews LT, Orrell C, Bwana MB, Tsai AC, Psaros C, Asiimwe S, et al. Adherence to HIV antiretroviral therapy among pregnant and postpartum women during the Option B+ era: 12-month cohort study in urban South Africa and rural Uganda. Journal of the International AIDS Society. 2020;23(8):e25586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Mason M, editor Sample size and saturation in PhD studies using qualitative interviews. Forum qualitative Sozialforschung/Forum: qualitative social research; 2010. [Google Scholar]
- 50.Hennink MM, Kaiser BN, Marconi VC. Code saturation versus meaning saturation: how many interviews are enough? Qualitative health research. 2017;27(4):591–608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Young I, Flowers P, McDaid LM. Barriers to uptake and use of pre-exposure prophylaxis (PrEP) among communities most affected by HIV in the UK: findings from a qualitative study in Scotland. BMJ open. 2014;4(11):e005717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Smith DK, Toledo L, Smith DJ, Adams MA, Rothenberg R. Attittudes and Program Preferences of African American Urban Young Adults about Pre-Exposure Prophylaxis (PrEP). AIDS Education and Prevention. 2012;24(5):408–21. [DOI] [PubMed] [Google Scholar]
- 53.Escudero DJ, Kerr T, Wood E, Nguyen P, Lurie MN, Sued O, et al. Acceptability of HIV Pre-exposure Prophylaxis (PrEP) Among People Who Inject Drugs (PWID) in a Canadian Setting. AIDS and Behavior. 2015;19(5):752–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Auerbach JD, Kinsky S, Brown G, Charles V. Knowledge, Attitudes, and Likelihood of Pre-Exposure Prophylaxis (PrEP) Use Among US Women at Risk of Acquiring HIV. AIDS patient care and STDs. 2015;29(2):12–110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Erlingsson C, Brysiewicz P. A hands-on guide to doing content analysis. African Journal of Emergency Medicine. 2017;7(3):93–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Bandura A Human agency in social cognitive theory. American psychologist. 1989;44(9):1175. [DOI] [PubMed] [Google Scholar]
- 57.Strecher VJ, McEvoy DeVellis B, Becker MH, Rosenstock IM. The role of self-efficacy in achieving health behavior change. Health education quarterly. 1986;13(1):73–92. [DOI] [PubMed] [Google Scholar]
- 58.Hyde J, Hankins M, Deale A, Marteau TM. Interventions to increase self-efficacy in the context of addiction behaviours: a systematic literature review. Journal of health psychology. 2008;13(5):607–23. [DOI] [PubMed] [Google Scholar]
- 59.Mize SJ, Robinson B, Bockting W, Scheltema K. Meta-analysis of the effectiveness of HIV prevention interventions for women. AIDS care. 2002;14(2):163–80. [DOI] [PubMed] [Google Scholar]
- 60.Li L, Lin C, Lee S-J, Tuan LA, Feng N, Tuan NA. Antiretroviral therapy adherence and self-efficacy among people living with HIV and a history of drug use in Vietnam. International journal of STD & AIDS. 2017;28(12):1247–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Waldrop-Valverde D, Dong C, Ownby RL. Medication-taking self-efficacy and medication adherence among HIV-infected cocaine users. Journal of the Association of Nurses in AIDS Care. 2013;24(3):198–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Earnshaw VA, Smith LR, Cunningham CO, Copenhaver MM. Intersectionality of internalized HIV stigma and internalized substance use stigma: Implications for depressive symptoms. Journal of Health Psychology. 2015;20(8):1083–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Turan B, Smith W, Cohen MH, Wilson TE, Adimora AA, Merenstein D, et al. Mechanisms for the negative effects of internalized HIV-related stigma on antiretroviral therapy adherence in women: the mediating roles of social isolation and depression. Journal of acquired immune deficiency syndromes (1999). 2016;72(2):198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Earnshaw VA, Smith LR, Chaudoir SR, Amico KR, Copenhaver MM. HIV stigma mechanisms and well-being among PLWH: a test of the HIV stigma framework. AIDS and Behavior. 2013;17(5):1785–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Calabrese SK, Underhill K. How Stigma Surrounding the Use of HIV Preexposure Prophylaxis Undermines Prevention and Pleasure: A Call to Destigmatize “Truvada Whores”. American journal of public health. 2015;105(10):1960–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Surratt HL, Kurtz SP, Cicero TJ, O’Grady C, Levi-Minzi MA. Antiretroviral medication diversion among HIV-positive substance abusers in South Florida. American journal of public health. 2013;103(6):1026–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Buttram ME. The informal use of antiretroviral medications for HIV prevention by men who have sex with men in South Florida: initiation, use practices, medications and motivations. Culture, Health & Sexuality. 2018;20(11):1185–98. [DOI] [PubMed] [Google Scholar]
- 68.Kurtz SP, Buttram ME. Misunderstanding of pre-exposure prophylaxis use among men who have sex with men: public health and policy implications. LGBT health. 2016;3(6):461–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kurtz SP, Buttram ME, Surratt HL. Vulnerable infected populations and street markets for ARVs: Potential implications for PrEP rollout in the USA. AIDS care. 2014;26(4):411–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kuo C, Giovenco D, DeAtley T, Hoare J, Underhill K, Atujuna M, et al. Recreational Use of HIV Antiretroviral Medication and Implications for HIV Pre-exposure Prophylaxis and Treatment. AIDS and Behavior. 2020:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Press. A. AIDS drugs surface on black market. New York Times. 1995;1:43. [Google Scholar]
- 72.Surratt HL, Kurtz SP, editors. A national perspective on the abuse and diversion of prescription drugs. Nova Southeastern University Faculty Symposium; 2013. [Google Scholar]
- 73.Inciardi JA, Surratt HL, Kurtz SP, Cicero TJ. Mechanisms of prescription drug diversion among drug-involved club-and street-based populations. Pain Medicine. 2007;8(2):171–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Lieberman SM, Ginsburg PB, K P. Balancing Lower U.S. Prescription Drug Prices And Innovation – Part 1: Health Affairs; 2020. [Available from: https://www.healthaffairs.org/do/10.1377/hblog20201123.804451/full/.
- 75.Boseley S, Carroll R. Profiteers resell Africa’s cheap AIDS drugs. The Guardian. 2002;3. [Google Scholar]
- 76.Luthra S, Gorman A. Out-Of-Pocket Costs Put HIV Prevention Drug Out Of Reach For Many At Risk: Kaiser Family Foundation; 2018. [Available from: https://khn.org/news/out-of-pocket-costs-put-hiv-prevention-drug-out-of-reach-for-many-at-risk/.
- 77.Campbell ANC, Wolff M, Weaver L, Jarlais DD, Tross S. “It’s Never Just About the HIV:” HIV Primary Care Providers’ Perception of Substance Use in the Era of “Universal” Antiretroviral Medication Treatment. AIDS and Behavior. 2018;22(3):1006–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Sawyer W, Wagner P. Mass incarceration: the whole pie 2020. Prison Policy Initiative. 2020. [Google Scholar]
- 79.Drug N. Brains, and Behavior: The Science of Addiction. National Institute on Drug Abuse; 2018. [Google Scholar]
- 80.Abuse S Mental Health Services Administration.(2019). Key substance use and mental health indicators in the United States: Results from the 2018 National Survey on Drug Use and Health (HHS Publication No. PEP19–5068, NSDUH Series H-54). Rockville, MD: Center for Behavioral Health Statistics and Quality. Substance Abuse and Mental Health Services Administration; Retrieved from https://wwwsamhsagov/data.2020. [Google Scholar]
- 81.Cf Medicare, Services M. To facilitate successful re-entry for individuals transitioning from incarceration to their communities. letter to state health officials, SHO. 2016:16–007. [Google Scholar]
- 82.Mallik-Kane K, Visher CA. Health and prisoner reentry: How physical, mental, and substance abuse conditions shape the process of reintegration: Urban Institute Justice Policy Center; Washington, DC; 2008. [Google Scholar]
- 83.Banerjee R, Ziegenfuss JY, Shah ND. Impact of discontinuity in health insurance on resource utilization. BMC health services research. 2010;10(1):195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Vertava Health. Can You Bring Your Physician Prescribed Medications to Rehab? 2021. [Available from: https://www.rehabcenter.net/can-you-bring-your-physician-prescribed-medications-to-rehab/.
- 85.Spector AY, Remien RH, Tross S. PrEP in substance abuse treatment: a qualitative study of treatment provider perspectives. Substance abuse treatment, prevention, and policy. 2015;10(1):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Elsesser SA, Oldenburg CE, Biello KB, Mimiaga MJ, Safren SA, Egan JE, et al. Seasons of risk: anticipated behavior on vacation and interest in episodic antiretroviral Pre-exposure Prophylaxis (PrEP) Among a Large National Sample of US Men Who have Sex with Men (MSM). AIDS and Behavior. 2016;20(7):1400–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Hansen H, Bourgois P, Drucker E. Pathologizing poverty: New forms of diagnosis, disability, and structural stigma under welfare reform. Social Science & Medicine. 2014;103:76–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Hammersley R. How and Why Addiction is socially constructed. 2017.
- 89.Wingood GM, DiClemente RJ. Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Health education & behavior. 2000;27(5):539–65. [DOI] [PubMed] [Google Scholar]
- 90.Roth AM, Tran NK, Felsher MA, Gadegbeku AB, Piecara B, Fox R, et al. Integrating HIV pre-exposure prophylaxis with community-based syringe services for women who inject drugs: Results from the Project SHE demonstration study. Journal of Acquired Immune Deficiency Syndromes (1999). 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Walters SM, Coston B, Neaigus A, Rivera AV, Starbuck L, Ramirez V, et al. The role of syringe exchange programs and sexual identity in awareness of pre-exposure prophylaxis (PrEP) for male persons who inject drugs. International Journal of Drug Policy. 2020;77:102671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Walters SM, Reilly KH, Neaigus A, Braunstein S. Awareness of pre-exposure prophylaxis (PrEP) among women who inject drugs in NYC: the importance of networks and syringe exchange programs for HIV prevention. Harm Reduction Journal. 2017;14(1):40. [DOI] [PMC free article] [PubMed] [Google Scholar]