| Literature DB >> 36090369 |
Danielle Guy1, Jason Doran1,2,3, Trenton M White1, Lena van Selm1, Teymur Noori4, Jeffrey V Lazarus1,5.
Abstract
Introduction: People who inject drugs have a substantial risk for HIV infection, especially women who inject drugs (WWID). HIV pre-exposure prophylaxis (PrEP), a highly-effective HIV prevention drug, is uncommonly studied among WWID, and we aimed to synthesize existing knowledge across the full PrEP continuum of care in this population.Entities:
Keywords: PrEP care continuum; human immunodeficiency virus; people who inject drugs; pre-exposure prophylaxis (PrEP); women who inject drugs
Year: 2022 PMID: 36090369 PMCID: PMC9459118 DOI: 10.3389/fpsyt.2022.951682
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Figure 1PrEP continuum of care variables and definitions Nunn et al. (17)
Search strategy (PubMed 17 June 2021).
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| #1 | [“HIV” AND (“care” OR “risk” OR “prevention” OR “service”)] OR “PrEP” OR “Pre-Exposure prophylaxis”[Mesh] OR “treatment as prevention” OR “TasP” OR “Pre Exposure Prophylaxis” OR “pre-exposure chemoprophylaxis*” OR “pre-exposure antiretroviral prophylaxis” OR “Antiretroviral chemoprophylaxis” OR “Truvada” | 88,161 |
| #2 | “Injecting drug use*” OR “Intravenous drug use*” OR “People who inject drugs” OR “Women who inject drugs” OR “Women who use drugs”OR “PWID” OR “WWID” OR “Addict*” OR “IDU” OR “People who use drugs” OR “PWUD” OR “Substance Abuse, Intravenous“[Mesh] | 73,573 |
| #3 | “Patient compliance”[Mesh] OR “Medication Adherence”[Mesh] OR “Attitude to Health”[Mesh] OR “Compliance” OR “Access” OR “Adherence” or “Perception” OR “Non-compliance” or “Non-adherence” or “Attitude” OR “Acceptability” OR “Feasibility” OR “Retention” OR “Engagement” OR “Disengagement” OR “Usage” OR “Uptake” OR “Willingness” OR “Initiation” OR “Knowledge” OR “Availability” | 1,713,855 |
| #4 | “Women”[Mesh] OR “Female”[Mesh] OR “Women's Health”[Mesh] OR “Women's Health Services”[Mesh] OR “Sex”[Mesh] OR “Sex Characteristics”[Mesh] OR “Sex Distribution”[Mesh] OR “Gender Identity”[Mesh] OR “Women” OR “Gender” OR “Sex” OR “Trans women” OR “Female” | 3,460,850 |
| #5 | #1 AND #2 AND #3 AND #4 | 1,573 |
Figure 2PRISMA flow diagram.
Characteristics of included studies.
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| Alarid and Hahl ( | Cross-sectional survey | United States | Prison inmates ( | HIV risk perception | IDU was positively associated with the perceived risk of HIV seroconversion. |
| Bass et al. ( | Focus groups | United States | WWID using a large urban syringe exchange ( | Prep awareness PrEP acceptability PrEP usage | Sixty-six percentage of WWID were aware of PrEP; 41.6% of WWID initiated PrEP; Most (unclear how many) were interested in PrEP, but seeing a doctor was a significant barrier. Other barriers were homelessness and potential theft of medication. Facilitators of PrEP use could include providing it at the syringe exchange, providing it on a daily basis and in pill packs. |
| Bazzi et al. ( | Interviews | Kenya | HIV-uninfected WWID ( | PrEP awareness PrEP acceptability | Only one woman had heard of oral PrEP. Generally, acceptability was high, but women were concerned about unknown side effects and efficacy. One woman was concerned about not being able to tolerate PrEP during drug withdrawal. Another woman had concerns about the increase of condomless sex with the use of PrEP and STIs. Drug use was not a significant deterrent to adopting or adhering to PrEP. |
| Belludi et al. ( | Questionnaire | India | PWID ( | PrEP awareness HIV risk perception PrEP acceptability | Gender was not associated with willingness to use PrEP in adjusted and unadjusted analyses. Sixty-two percentage of WWID were willing to use PrEP, 29% did not endorse self-perceived HIV risk as a reason for unwillingness; 9% endorsed a lack of self-perceived HIV risk for unwillingness. |
| Corcorran ( | Cross-sectional survey | United States | PWID at syringe service providers ( | PrEP awareness PrEP acceptability | Gender was not associated with willingness to use PrEP. Fifty-six percentage of women were aware of PrEP. Correlates of interest included being high-risk for HIV (i.e., meth/heroin use, exchange sex, and experiencing homelessness, and sharing injection equipment), and being PrEP aware. |
| Escudero et al. ( | Questionnaire | Canada | HIV-negative PWID ( | PrEP acceptability | Forty-four percentage of WWID were willing to use PrEP. More WWID were willing to use PrEP compared to their male counterparts [OR 1.52 (1.05–2.22) |
| Felsher et al. ( | Cross-sectional survey | United States | HIV-negative, cisgender WWID at a syringe service provider ( | PrEP usage | 77.5% of women initiated PrEP. PrEP initiation was significantly associated with reporting sexual assault ( |
| Felsher et al. ( | Interviews | United States | HIV-negative WWID participating in a PrEP demonstration project ( | PrEP communication | PrEP conversations occurred within 30/57 relationships. Motivations for communication were to benefit others (enabled by HIV risk, gender similarity, perception of peer at risk of HIV, little negative outcomes expected from discussion), benefit themselves (to increase emotional connectedness and potential support from a peer), or perceived obligation (negative outcome perceived from not disclosing PrEP use when in a shared living space). |
| Felsher et al. ( | Interviews | United States | WWID ( | HIV risk perception PrEP acceptability | Most WWID were concerned about HIV risks related to sexual assault and environmental forces beyond their control (e.g., accidental needle sticks). WWID who had regular engagement in harm reduction behaviors (e.g., avoiding syringe sharing) perceived themselves to be at low risk of HIV. WWID unanimously perceived PrEP to be a beneficial HIV prevention tool. Potential adverse reactions with comorbid conditions, PrEP- and HIV-related stigma, location of care, and the psychological costs of initiating new relationships with PrEP care providers influenced PrEP acceptability. |
| Felsher et al. ( | Social network survey | United States | WWID ( | HIV risk perception PrEP usage PrEP communication | 47.5% of WWID perceived themselves as at high risk of HIV. Nearly all (97.5%) accepted a PrEP prescription. 83.2% of WWID were willing to share PrEP information. Participants were more likely to share PrEP information with individuals who were homeless (UOR 3.3; 95% CI 1.5–7.6), an injecting drug user (UOR 2.3; 95% CI 1.1–4.7), engaged in transactional sex (UOR 4.5; 95% CI 1.6–12.5) or had a perceived high-risk of HIV (UOR 1.1; 95% CI 1.1–1.2). |
| Felsher et al. ( | Interviews | United States | WWID ( | PrEP adherence | Only 5.6% of WWID were adherent to PrEP. PrEP ranked relatively low compared to other basic needs. Women's perceived need for PrEP fluctuated with their drug use and HIV risk perception. Women who did not have stable housing often described how the lack of safe pill storage leads to pills being lost or stolen. |
| Footer et al. ( | Focus groups | United States | WWID ( | PrEP awareness PrEP knowledge | 31% of WWID were aware of PrEP. Knowledge was “low” but not quantified. All WWID were interested in PrEP as an additional form of HIV protection. Women had concerns about convenience and ease of use, preferring less frequent delivery methods. Potential interactions with other medication regimens and access to medical providers were noted as concerns about PrEP use. |
| Galka et al. ( | Cross-sectional survey | Malaysia | Transgender women ( | PrEP awareness PrEP acceptability | In the bivariate analysis, IDU was significantly associated with lower willingness to use PrEP {OR −1.17 [95% CI (−1.85 to −0.48), |
| International Network of People who Use Drugs ( | Interviews and face-to-face consultations | Europe and Asia | PWID ( | PrEP access, PrEP acceptability | Criminalization of drug use and stigma toward people who inject drugs negatively affect the accessibility of PrEP. Scale up of harm-reduction services, especially community-based services would be necessary for PrEP to be accessible to participants. Participants recognized the potential benefit of PrEP and emphasized its use in a larger package of comprehensive services. But participants generally preferred access to safe injection equipment than using a daily pill to prevent HIV infection. |
| International Network of People who Use Drugs ( | Semi-structured interviews and focus groups discussions | Global | PWID ( | PrEP knowledge, access to PrEP, PrEP, PrEP acceptability | Few participants expressed that they did not feel sufficiently informed on PrEP. Several participants noted issues with PrEP availability and highlighted the ethical issue of making individuals aware of PrEP without allowing them access to it, particularly for modes of PrEP relevant to women (e.g., vaginal rings). Participants were generally willing to use PrEP but underscored the necessity for it to be a part of a comprehensive package of harm reduction services. Several participants highlighted the issue of lack of basic harm reduction services, such as lack of safe injection equipment, which was more pressing than PrEP. |
| Jo et al. ( | Cross-sectional survey | United States | PWID at a syringe service provider ( | PrEP acceptability | There was no statistically significant difference in the odds of expressing interest in PrEP by gender. In the adjusted model, people with opioid-only use were significantly less likely to report interest in being linked to PrEP. |
| Kuo et al. ( | Interview and questionnaire | United States | PWID ( | PrEP acceptability | 38.7% of WWID were very likely to use PrEP and 27.5% were somewhat/not likely to use PrEP. Gender was not associated with willingness to use PrEP. |
| Martin et al. ( | Randomized, double-blind, placebo- controlled, endpoint-driven study | Thailand | PWID ( | PrEP adherence | 47.7% of women had poor (<95% adherence). In the multivariable analysis, men were more likely to report poor adherence compared to women ( |
| Martin et al. ( | Observational, cohort study | Thailand | Current or previous PWID ( | PrEP usage PrEP adherence Retention in PrEP care | Fifty-eight percentage of women chose to take PrEP. In the bivariate analysis, there was no significant difference in uptake by gender [OR 1.2 (95% CI 0.9–1.5)]. Sixty-nine percentage of WWID returned for at least one clinic visit, and gender was not significantly associated with attendance. |
| McFarland et al. ( | Cross-sectional survey, data from National HIV Behavioral Surveillance (NHBS) | United States | PWID ( | PrEP awareness PrEP knowledge PrEP usage | 63.4% of WWID were aware of PrEP and women were more likely than men to be aware. 38.9% of WWID knew PrEP can prevent HIV transmission from sharing injection equipment, and there were no significant differences by gender. Only 13.6% of WWID discussed taking PrEP with their healthcare provider in last year. Three percentage of WWID used PrEP in last year. After excluding MSM, women were more likely to have used PrEP than men (3.7% of women vs. 0% of non-MSM men, |
| Metz et al. ( | Questionnaire | United States | Individuals with opioid use disorder ( | PrEP awareness PrEP acceptability | Thirty percentage of the sample had heard of PrEP, with no significant differences between genders. PrEP acceptance was 59%, with no significant differences between genders. There were no gender differences in HIV risk behaviors, transmission and prevention knowledge or preferences. |
| Peitzmeier et al. ( | Cross-sectional survey | United States | Female sex workers at a mobile health service ( | PrEP awareness PrEP acceptability | Thirty-three percentage of WWID were aware of PrEP and 63% accepted PrEP. IDU was not significantly associated with increased interest in PrEP. Women that experienced physical or sexual violence from clients and women under 35 had higher PrEP acceptance. |
| Qin et al. ( | Semi-structured interviews | United States | Women with substance use disorders ( | PrEP awareness | Thirty-five percentage of WWID were aware of PrEP. Motivations to engage in PrEP care were problematized by women's basic needs, lack of perceived risk of HIV, and anticipated stigma. |
| Roth et al. ( | Cross-sectional survey | United States | PWID attending a syringe exchange program ( | PrEP acceptability Access to PrEP | PrEP acceptance was higher in women compared to men (88.9 vs. 71.0%; |
| Roth et al. ( | Cross-sectional survey, data from National HIV Behavioral Surveillance (NHBS) | United States | PWID attending a syringe exchange program ( | PrEP awareness | 35.5% WWID were aware of PrEP. Factors associated with PrEP awareness were having at least some college education (aOR 2.13, 95% CI 1.03, 4.43), sharing paraphernalia (aOR 2.37, 95% CI 1.23, 4.56), obtaining syringes/needles primarily from a syringe exchange program (aOR 2.28, 95% CI 1.35, 3.87), STI testing (aOR 1.71, 95% CI 1.01, 2.89) and drug treatment (aOR 2.81, 95% CI 1.62, 4.87). Individuals that accessed prevention and health services had increased odds of being aware of PrEP. |
| Roth et al. ( | Cross-sectional survey | United States | WWID attending a syringe service program ( | PrEP awareness PrEP usage PrEP adherence Retention in PrEP care | 52.6% of participants were aware of PrEP before enrolling in the study. 63/95 initiated PrEP and uptake was associated with greater baseline frequency of SSP access (aOR = 1.85; 95% CI: 1.24–2.77), inconsistent condom use (aOR = 3.38; 95% CI: 1.07–10.7), and experiencing sexual assault (aOR = 5.89; 95% CI: 1.02, 33.9). 44.2% were retained in care at week 24, and retention was higher among women who reported more frequent baseline SSP access (aOR = 1.46; 95% CI: 1.04–2.24). Half the sample reported full adherence, but this was not confirmed by urinalysis. |
| Schneider et al. ( | Survey | United States | PWID ( | PrEP awareness PrEP acceptability PrEP usage | 32.6% of WWID were aware of PrEP, 58.3% accepted PrEP, and 3.7% had used PrEP before. Acceptance per form of administration females: oral (62%), arm injection (60.1%), abdomen injection (21.6%), IV infusion (14.9%), under skin implant (26.4%) vaginal gels (26.6%) or vaginal rings (28.6%). |
| Sherman et al. ( | Cross-sectional survey | United States | PWID ( | PrEP acceptability | 33.5% of WWID accepted PrEP, with no significant differences between men and women. PrEP interest was associated with being eligible for PrEP (aOR = 2.46; 95% CI: 1.34, 4.50) and the number of medical diagnoses (aOR = 1.16; 95% CI: 1.01, 1.33). |
| Stein et al. ( | Cross-sectional survey | United States | Opiate users seeking opioid detoxification ( | PrEP acceptability | 50.5% of WWID were willing to use PrEP, and there were no differences in acceptability by gender. People who believed they were at risk for HIV had higher rates of acceptability. |
| Tran et al. ( | Cross-sectional survey | United States | WWID ( | PrEP usage | Eighty-eight percentage of WWID intended to initiate PrEP. Overall, most WWID held positive attitudes about PrEP. Most (≥70%) had no concerns about PrEP's efficacy, and no/little concern about side-effects. There was no difference in PrEP intention between WWID who accepted PrEP and those who did not. |
| Walters et al. ( | Cross-sectional survey, data from National HIV Behavioral Surveillance (NHBS) | United States | WWID ( | PrEP awareness | Thirty-one percentage of WWID were aware of PrEP. In multivariable logistic regression, increased PrEP awareness was associated with reported transactional sex (aOR 3.32, 95% CI 1.22–9.00) and having had a conversation about HIV prevention at a syringe exchange program (aOR 7.61, 95% CI 2.65–21.84). |
| Walters et al. ( | Cross-sectional survey, data from National HIV Behavioral Surveillance (NHBS) | United States | Groups at high risk of HIV ( | PrEP awareness Access to PrEP | Eighty percentage of WWID were aware of PrEP in Long Island and 12% in New York City. Among high-risk groups on New York City and Long Island, only 25 and 32% of WWID, respectively, had access to HIV prevention professionals. |
Risk of bias assessment using mixed methods appraisal tool.
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| Bass et al. ( | 1 | 1 | 0 | 0 | 0 | 2 |
| Bazzi et al. ( | 1 | 1 | 0 | 1 | 1 | 4 |
| Felsher et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Felsher et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Felsher et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Footer et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| International Network of People who Use Drugs ( | 1 | 0 | 1 | 1 | 1 | 4 |
| International Network of People who Use Drugs ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Qin et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
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| Martin et al. ( | 0 | 0 | 1 | 0 | 0 | 1 |
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| Felsher et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
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| Alarid et al. ( | 1 | 0 | 1 | 1 | 1 | 4 |
| Belludi et al. ( | 1 | 1 | 0 | 1 | 1 | 4 |
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| Corcorran ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Escudero et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Galka et al. ( | 0 | 1 | 1 | 0 | 1 | 3 |
| Jo et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Kuo et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Martin et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| McFarland et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Metz et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Peitzmeier et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Roth et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Roth et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Roth et al. ( | 1 | 1 | 1 | 1 | 1 | 5 |
| Schneider et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Sherman et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Stein et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Tran et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Walters et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |
| Walters et al. ( | 1 | 1 | 1 | 0 | 1 | 4 |