Abstract
A recent clinical trial provided evidence that pre-exposure prophylaxis (PrEP) has the potential to prevent HIV infection among people who inject drugs (PWID). We examined willingness to use PrEP among HIV-negative PWID in Vancouver, Canada (n=543) to inform PrEP implementation efforts. One third (35.4%) expressed willingness to use PrEP, with adjusted models indicating that younger age, no regular employment, requiring help injecting, engaging in sex work, and reporting multiple recent sexual partners were positively associated with willingness to use PrEP. Although willingness to use PrEP was low, PrEP was acceptable to some PWID at heightened risk for HIV infection.
Keywords: PrEP, PWID, Acceptability, HIV, Risk Behavior
INTRODUCTION
HIV pre-exposure prophylaxis (PrEP) has demonstrated efficacy in preventing HIV infection in several randomized trials [1–3]. Most recently, the Bangkok Tenofovir Study, a trial consisting of 2,413 people who inject drugs (PWID) in Bangkok, Thailand, has shown that a regimen of once daily oral tenofovir reduced the risk of HIV acquisition by 49% [4]. There was evidence that, as with other successful trials in non-drug users, PrEP was most efficacious among PWID with high adherence to therapy. However, important public health questions remain, including issues regarding the effectiveness, implementation, and overall feasibility of the rollout of PrEP to PWID in real-world settings.
Initial evidence suggests that PrEP may be a cost-effective intervention among PWID [5], and although the challenges and barriers to its implementation have been a topic of active debate [6–9], few studies have examined the acceptability of and willingness to use PrEP among drug users at risk for HIV [10]. In fact, only two studies to date have published data demonstrating willingness to use PrEP among a samples of PWID, one among PWID in Ukraine [11], and more recently in Massachusetts, United States (U.S.) [12]. In the study examining Ukrainian PWID, data were collected from a sample of 128 active injectors, 86% of whom were “definitely” or “probably” willing to take PrEP [11]. Overall willingness was lower in the Massachusetts study, with only 47% of the 351 PWID noting that they would be willing to take PrEP. Further data on the acceptability of PrEP among PWID are critical to estimate the proportion that are willing to participate in PrEP regimens, and may also inform public health efforts to identify the sociodemographic characteristics and behaviors associated with higher acceptance of PrEP, and even provide early indicators of the barriers to high adherence.
The Downtown Eastside (DTES) neighborhood of Vancouver, British Columbia is home to approximately 5,000 PWID and is the center of a mature HIV epidemic [13]. Many PWID in the DTES neighborhood have access to a wide array of evidence-based HIV prevention programs, including: a supervised injection facility, needle and syringe exchange programs, opioid substitution therapy (OST), and a large-scale treatment as prevention program [14, 15]. Although the incidence of HIV among PWID in Vancouver has declined significantly over the past decade [16, 17], many HIV negative drug users remain at elevated risk for infection and thus may be eligible for PrEP under future Health Canada guidelines (in May 2014 the U.S. CDC released guidelines recommending the use of PrEP among PWID at substantial risk for HIV acquisition) [18]. Given the paucity of data available to inform PrEP implementation efforts for PWID, and since drugs use patterns and HIV risk behaviors of PWID vary substantially across different settings [19–23], the objective of this study was to describe the willingness of PWID to use PrEP in a highly resourced North American setting.
METHODS
Participants were injection drug users enrolled in the Vancouver Injection Drug Users Study (VIDUS), an open, prospective, community-recruited cohort of HIV negative PWID that began in 1996. Persons were eligible to participate in VIDUS if they resided in the Greater Vancouver region, were actively injecting drugs at enrollment (self-reported injection drug use in the past month, verified by examination for injection stigmata), and were able to provide informed consent. Given the duration of enrollment for many VIDUS cohort members, not all participants for this specific study had recently injected drugs. Between December 2012 and May 2013, 543 HIV negative VIDUS participants completed a supplemental questionnaire eliciting information regarding knowledge of and willingness to use PrEP if it were made available in the future (HIV status was ascertained by antibody assay from blood samples drawn during the study visit). Before administration of the survey, participants were asked whether they had heard of pre-exposure prophylaxis or “PrEP” for HIV prevention. All participants, regardless of prior PrEP knowledge, were then briefly educated by trained nurses about the role of PrEP in preventing the acquisition of HIV. The nurses informed participants that PrEP can be used to reduce the risk of HIV infection in people who are HIV negative (no specific efficacy estimates were provided); that it is primarily delivered in the form of a daily pill; that PrEP has been shown to lower the chance of becoming infected from a sexual partner; that it had been approved for use in the U.S. for men who have sex with men (MSM) and heterosexual discordant couples; and finally, that studies were ongoing to determine whether PrEP can reduce the risk of infection through borrowing or sharing syringes/injection equipment. Participants were compensated $30 for their participation. The study was approved by the University of British Columbia/Providence Health Care Research Ethics Boards.
Participants who reported willingness to use PrEP if it were made available in the future were asked two additional questions to determine whether potential side effects or the potentially low efficacy of PrEP would alter their response. The survey instrument permitted four-point Likert scale responses that ranged from “yes, definitely” willing to use PrEP to “no, definitely not.” For the study analysis, the first two response options (“yes, definitely” and “yes, probably”) were considered “willing,” and the final two (“no, probably not” and “no, definitely not”) were considered “not willing.” To determine factors associated with willingness to use PrEP, we first used the Mann-Whitney test for continuous variables and Pearson’s chi-square test for categorical variables in bivariable analyses. We analyzed the association between willingness to use PrEP and the following sociodemographic characteristics: age, biological sex at birth (female vs. male), non-heterosexual identity (yes vs. no), Aboriginal ancestry (yes vs. no), relationship status (ever married/common law, regular partner vs. non-regular partner/no partner), and highest level of education achieved (high school equivalent or higher vs. less than high school education). We also examined the following self-reported behaviors and exposures (occurring within the previous six months vs. no or not within the previous six months): sexual exposure to someone known to be HIV positive, any regular employment, homelessness, incarceration, syringe borrowing, requiring help injecting, any injection drug use, number of sexual partners (>1, 1 vs. 0), sex work, paying for sex with money/goods, and current enrollment in substance abuse treatment. To identify the independent correlates of willingness to use PrEP, all variables found to be significant at p<0.05 in bivariable analyses were entered into a multivariable logistic regression model. Using a backwards model selection procedure, we constructed the final multivariable model with the best fit (i.e., model with the lowest AIC value). All analyses were conducted using the SAS software version 9.3, and all p-values are two-sided.
RESULTS
Among 543 eligible participants, the median age was 48 years (interquartile range [IQR]: 42 – 55), 166 (30.6%) were female, and 153 (28.2%) were of Aboriginal ancestry. Only 16 (3.0%) participants reported prior knowledge of PrEP. Approximately one-third (192, 35.4%) of participants reported that they were willing to use PrEP if it were made available in the future. The bivariable associations for willingness to use PrEP are presented in Table 1. The unadjusted results show significant associations between willingness to use PrEP and the following characteristics and behaviors (all p<0.05): younger age (odds ratio [OR] = 1.43 per 10 years younger; 95% confidence interval [CI]: 1.18–1.74), female sex (1.52; 1.05–2.22), no regular employment (1.80; 1.16–2.79), recent incarceration (2.32; 1.14–4.71), syringe borrowing (2.15; 1.13–4.11), requiring help injecting (2.99; 1.62–5.52), any injection drug use (1.62; 1.12–2.34), multiple sexual partners (i.e., >1 vs. 0 partners [n=364]) (2.98; 1.77–5.00), and sex work (4.81; 2.39–9.70).
Table I.
Characteristic/Behavior | Willing to use PrEP n (%)b |
Not willing to use PrEP n (%)b |
OR (95% CI) | p–valuea |
---|---|---|---|---|
Total | 192 (35.4) | 351 (64.6) | ||
Age (in years), Median (IQR)f | 46 (39–53) | 50 (43–55) | 1.43c (1.18–1.74) | <0.001 |
Gender | ||||
female | 70 (36.5) | 96 (27.4) | 1.52 (1.05–2.22) | 0.028 |
male | 122 (63.5) | 255 (72.6) | REF | |
Non-heterosexual identity | ||||
yes | 14 (7.3) | 23 (6.6) | 1.11 (0.56–2.21) | 0.772 |
no | 177 (92.2) | 322 (91.7) | REF | |
Aboriginal ancestry | ||||
yes | 61 (31.8) | 92 (26.2) | 1.31 (0.89–1.93) | 0.169 |
no | 131 (68.2) | 259 (73.8) | REF | |
Relationship status | ||||
ever married/common law | 38 (19.8) | 72 (20.5) | 0.97 (0.62–1.52) | 0.619 |
regular partner | 19 (9.9) | 30 (8.6) | 1.17 (0.63–2.15) | 0.906 |
non-regular partner/no partner | 135 (70.3) | 249 (70.9) | REF | |
High school education or greater | ||||
yes | 97 (50.5) | 174 (49.6) | 0.99 (0.70–1.42) | 0.973 |
no | 92 (47.9) | 164 (46.7) | REF | |
Sex with HIV positive persond | ||||
yes | 9 (4.7) | 8 (2.3) | 2.11 (0.80–5.56) | 0.124 |
no | 174 (90.6) | 326 (92.9) | REF | |
No regular employmentd,f | ||||
yes | 158 (82.3) | 253 (72.1) | 1.80 (1.16–2.79) | 0.008 |
no | 34 (17.7) | 98 (27.9) | REF | |
Homelessd | ||||
yes | 31 (16.1) | 44 (12.5) | 1.34 (0.82–2.21) | 0.244 |
no | 161 (83.9) | 307 (87.5) | REF | |
Incarceratedd | ||||
yes | 18 (9.4) | 15 (4.3) | 2.32 (1.14–4.71) | 0.017 |
no | 173 (90.1) | 334 (95.2) | REF | |
Borrowed a used syringed | ||||
yes | 21 (10.9) | 19 (5.4) | 2.15 (1.13–4.11) | 0.018 |
no | 170 (88.5) | 331 (94.3) | REF | |
Required help injectingd,f | ||||
yes | 28 (14.6) | 19 (5.4) | 2.99 (1.62–5.52) | <0.001 |
no | 163 (84.9) | 331 (94.3) | REF | |
Any injection drug used | ||||
yes | 128 (66.7) | 194 (55.3) | 1.62 (1.12–2.34) | 0.010 |
no | 64 (33.3) | 157 (44.7) | REF | |
Number of sexual partnersd,f | ||||
>1 | 44 (22.9) | 32 (9.1) | 2.98 (1.77–5.00) | <0.001 |
1 | 56 (29.2) | 120 (34.2) | 1.01 (0.68–1.51) | 0.960 |
0 | 91 (47.4) | 197 (56.1) | REF | |
Sex workd | ||||
yes | 28 (14.6) | 12 (3.4) | 4.81 (2.39–9.70) | <0.001 |
no | 163 (84.9) | 336 (95.7) | REF | |
Paid money/goods for sexd,f | ||||
yes | 8 (4.2) | 17 (4.8) | 0.86 (0.36–2.02) | 0.722 |
no | 181 (94.3) | 329 (93.7) | REF | |
Currently enrolled in treatmente | ||||
yes | 127 (66.1) | 204 (58.1) | 1.38 (0.96–1.99) | 0.086 |
no | 65 (33.9) | 144 (41.0) | REF |
Abbreviations: HIV: human immunodeficiency virus; OR: odds ratio; CI: confidence interval; IQR: interquartile range; PWID: people who inject drugs; PrEP: pre-exposure prophylaxis
Based on results of Pearson’s chi-square test (for categorical variables) and Mann-Whitney test (for continuous variables)
Percentages do not necessarily sum to 100% due to non-response on some questions or rounding error
Based on 10 year decrease in age
Behaviors/activities reported in the past six months
Alcohol or drug treatment
Significant association (p<.05) found in the final multivariable model
The results from the final multivariable model show that the following five variables were significantly and independently associated with willingness to use PrEP (all p<0.05): younger age (adjusted odds ratio [AOR] = 1.30 per 10 years younger; 95% CI: 1.05–1.59), no regular employment (1.67; 1.05–2.65), requiring help injecting (2.14; 1.11–4.11), and sex work (2.29; 1.01–5.20). In addition, those reporting multiple recent sexual partners (2.00; 1.07–3.74) were found to be more willing to use PrEP compared to persons with no sexual partners in the past six months.
Of the 192 (35.4%) participants who initially expressed willingness to use PrEP, this number fell to 115 (21.2%) when participants were asked if they were willing to use PrEP if they experienced known side effects of the therapy, including nausea, abdominal pain, headache and weight loss, and rarely, kidney failure or bone toxicity, as described by trained nurses. Similarly, the number of participants willing to use PrEP fell to 136 (25.0%) when interviewing nurses clarified that a daily PrEP regimen would potentially have less than 100% efficacy.
DISCUSSION
The results of this study show that, although overall PrEP acceptability was low among this sample of PWID, some sub-populations of drug users, including those at higher risk of HIV acquisition, may be willing to initiate prophylactic therapy. We observed several characteristics that may be used to identify those more willing to use PrEP, including persons: of younger age, with no regular employment, who require help injecting, who have multiple recent sexual partners, and who engage in sex work. Given previous studies demonstrating that some of these same factors are associated with an increased risk of HIV infection and greater overall vulnerability in this setting [24–26], these results are encouraging and suggest a potential role of PrEP within a comprehensive package of HIV prevention, treatment, and care services. Specifically, if future PrEP programs are able to enroll PWID with increased vulnerability to HIV infection (including through both parenteral and sexual routes of transmission), then such programs may be successful at averting incident cases, even within a context of low acceptability in the larger PWID community. Therefore, these results provide preliminary evidence that, despite early concerns from some providers that PrEP would attract interest primarily from those at lower risk (i.e., the “worried well”) [27], our data indicate the opposite is possible. Finally, these results indicate that potential side effects of long-term PrEP regimens, as well as partial efficacy in the context of the demands of adherence to a daily regimen, represent important potential barriers to the implementation of PrEP interventions for PWID.
The results presented in this study differ from those published by Eisingerich, et al, [11], and Stein, et al, [12], in which overall acceptability were higher, particularly in Ukraine. These differences are likely due to a host of social and contextual factors, including: the stage of the HIV epidemic in the respective settings, the relative availability of other HIV prevention services (including NSPs, HIV treatment access, and the availability of OST), and perhaps other cultural differences. Specifically, our results indicate that PrEP implementation and acceptability among PWID may be more challenging in mature epidemic settings such as British Columbia, with an array of existing evidence-based HIV prevention services for PWID. These results indicate that PrEP coverage levels among PWID envisioned in a recent cost effective analysis (i.e., between 25% and 50% [5]) may be difficult to achieve in a highly resourced setting such as Vancouver. Future PrEP implementation efforts among PWID in such settings should develop strategies to increase understanding of the benefits of PrEP, including prevention of sexual transmission, for those at highest risk for HIV infection. It important to note that not all of our sample may belong to a high-risk group for which PrEP is currently recommended [18], as 41% did not report any injection drug use in the prior six months. However, this does not necessarily mean that those without recent injection behavior would not be eligible for PrEP, given the sexual risk behaviors observed, and also the strong likelihood for injection drug relapse observed in other PWID populations [28]. In fact, the risk profile in our sample may actually be closer to those participating in the Bangkok Tenofovir Study (where 55% of participants did not report any injection drug use during study follow-up [4]) than the opiate users seeking detoxification surveyed by Stein, et al (where only recent injectors were eligible to participate [12]).
This study has some notable limitations. Firstly, the data were collected prior to the release of the Bangkok Tenofovir Study [4], which was the first trial to demonstrate PrEP efficacy among PWID. It is possible that following the release of the trial results, there has been an increased awareness of PrEP among communities of PWID, influencing acceptability. Indeed, awareness of PrEP prior to the survey administration was low, with only 3.0% reporting prior knowledge of the therapy. Despite this trial providing the first evidence for PrEP efficacy among PWID, given the concerns regarding imperfect efficacy in our sample, it is unclear what impact the trial results would have had on reported willingness. Finally, the educational prompt on PrEP delivered by the trained nurses may have influenced responses. Subsequently, qualitative research should be conducted to identify reasons for non-acceptability of PrEP in this and other settings.
In summary, more research is needed to determine the acceptability of and willingness to use PrEP among PWID, both in settings where there are many available evidence-based prevention modalities, and those in which there are few. Successful administration of PrEP interventions may depend heavily on the willingness of this population to enroll and adhere to what is a demanding drug regimen. However, given promising trial results demonstrating that PrEP is partially efficacious at preventing HIV infection among PWID, these interventions, packaged within comprehensive HIV prevention and treatment programs for drug users, could be considered in settings where HIV incidence in these communities persists.
Acknowledgments
Conflicts of Interest and Sources of Funding: The study was supported by the US National Institutes of Health (R01DA011591). Thomas Kerr is supported by the Michael Smith Foundation for Health Research and the Canadian Institutes of Health Research. Mark Lurie received partial support from the NIH through two research grants (1R01MH083539-01 and 1R24HD077976-01). Daniel Escudero is supported by an NIH grant (F31-DA037808).
Footnotes
To be presented as “Escudero, D, Kerr, T, Wood, E, Nguyen, P, Lurie, M, Marshall, BDL. Acceptability of HIV pre-exposure prophylaxis (PrEP) among people who inject drugs (PWID) in Vancouver, Canada” to the 20th International AIDS Conference, July 20–25, 2014, Melbourne.
REFERENCES
- 1.Baeten JM, Donnell D, Ndase P, Mugo NR, Campbell JD, Wangisi J, et al. Antiretroviral prophylaxis for HIV prevention in heterosexual men and women. N Engl J Med. 2012;367(5):399–410. doi: 10.1056/NEJMoa1108524. Epub 2012/07/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Abdool Karim Q, Abdool Karim SS, Frohlich JA, Grobler AC, Baxter C, Mansoor LE, et al. Effectiveness and safety of tenofovir gel, an antiretroviral microbicide, for the prevention of HIV infection in women. Science. 2010;329(5996):1168–1174. doi: 10.1126/science.1193748. Epub 2010/07/21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Grant RM, Lama JR, Anderson PL, McMahan V, Liu AY, Vargas L, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363(27):2587–2599. doi: 10.1056/NEJMoa1011205. Epub 2010/11/26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.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. Lancet. 2013;381(9883):2083–2090. doi: 10.1016/S0140-6736(13)61127-7. Epub 2013/06/19. [DOI] [PubMed] [Google Scholar]
- 5.Alistar SS, Owens DK, Brandeau ML. Effectiveness and cost effectiveness of oral preexposure prophylaxis in a portfolio of prevention programs for injection drug users in mixed HIV epidemics. PLoS One. 2014;9(1):e86584. doi: 10.1371/journal.pone.0086584. Epub 2014/02/04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Baral SD, Stromdahl S, Beyrer C. The potential uses of preexposure prophylaxis for HIV prevention among people who inject drugs. Curr Opin HIV AIDS. 2012;7(6):563–568. doi: 10.1097/COH.0b013e328358e49e. Epub 2012/10/19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Campbell JD, Herbst JH, Koppenhaver RT, Smith DK. Antiretroviral prophylaxis for sexual and injection drug use acquisition of HIV. Am J Prev Med. 2013;44(1) Suppl 2:S63–S69. doi: 10.1016/j.amepre.2012.09.045. Epub 2013/01/04. [DOI] [PubMed] [Google Scholar]
- 8.Crawford ND, Vlahov D. Progress in HIV reduction and prevention among injection and noninjection drug users. J Acquir Immune Defic Syndr. 2010;55(Suppl 2):S84–S87. doi: 10.1097/QAI.0b013e3181fbca5a. Epub 2011/03/26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dutta MJ. Disseminating HIV pre-exposure prophylaxis information in underserved communities. Am J Prev Med. 2013;44(1) Suppl 2:S133–S136. doi: 10.1016/j.amepre.2012.09.030. Epub 2013/01/04. [DOI] [PubMed] [Google Scholar]
- 10.Escudero DJ, Lurie MN, Kerr T, Howe CJ, Marshall BD. HIV pre-exposure prophylaxis for people who inject drugs: a review of current results and an agenda for future research. J Int AIDS Soc. 2014;17:18899. doi: 10.7448/IAS.17.1.18899. Epub 2014/04/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Eisingerich AB, Wheelock A, Gomez GB, Garnett GP, Dybul MR, Piot PK. Attitudes and acceptance of oral and parenteral HIV preexposure prophylaxis among potential user groups: a multinational study. PLoS One. 2012;7(1):e28238. doi: 10.1371/journal.pone.0028238. Epub 2012/01/17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Stein M, Thurmond P, Bailey G. Willingness to Use HIV Pre-Exposure Prophylaxis Among Opiate Users. AIDS Behav. 2014 doi: 10.1007/s10461-014-0778-z. Epub 2014/04/23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Buxton J. Vancouver site report for the Canadian Community Epidemiology Network on Drug Use (CCENDU) 2003 [Google Scholar]
- 14.Kerr T, Small W, Buchner C, Zhang R, Li K, Montaner J, et al. Syringe sharing and HIV incidence among injection drug users and increased access to sterile syringes. Am J Public Health. 2010;100(8):1449–1453. doi: 10.2105/AJPH.2009.178467. Epub 2010/06/19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Montaner JS, Lima VD, Barrios R, Yip B, Wood E, Kerr T, et al. Association of highly active antiretroviral therapy coverage, population viral load, and yearly new HIV diagnoses in British Columbia, Canada: a population-based study. Lancet. 2010;376(9740):532–539. doi: 10.1016/S0140-6736(10)60936-1. Epub 2010/07/20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wood E, Kerr T, Marshall BD, Li K, Zhang R, Hogg RS, et al. Longitudinal community plasma HIV-1 RNA concentrations and incidence of HIV-1 among injecting drug users: prospective cohort study. BMJ. 2009;338:b1649. doi: 10.1136/bmj.b1649. Epub 2009/05/02. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Drug Situation in Vancouver. Urban Health Research Initiative of the University of British Columbia Centre for Excellence in HIV/AIDS. 2013 [Google Scholar]
- 18.U.S. Public Health Service. PREEXPOSURE PROPHYLAXIS FOR THE PREVENTION OF HIV INFECTION IN THE UNITED STATES - 2014: A Clinical Practice Guideline. Centers for Disease Control and Prevention; 2014. [Google Scholar]
- 19.Aich TK, Dhungana M, Khanal R. Pattern of buprenorphine abuse among opioid abusers in Nepal. Indian journal of psychiatry. 2010;52(3):250–253. doi: 10.4103/0019-5545.70978. Epub 2010/12/25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gu J, Bai Y, Lau JT, Hao Y, Cheng Y, Zhou R, et al. Social Environmental Factors and Condom Use Among Female Injection Drug Users who are Sex Workers in China. AIDS Behav. 2013 doi: 10.1007/s10461-013-0434-z. Epub 2013/02/28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Khan AA, Khan A. Performance and coverage of HIV interventions for injection drug users: Insights from triangulation of programme, field and surveillance data from Pakistan. Int J Drug Policy. 2011;22(3):219–225. doi: 10.1016/j.drugpo.2011.03.005. Epub 2011/05/03. [DOI] [PubMed] [Google Scholar]
- 22.Hayashi K, Suwannawong P, Ti L, Kaplan K, Wood E, Kerr T. High rates of midazolam injection and associated harms in Bangkok, Thailand. Addiction. 2013;108(5):944–952. doi: 10.1111/add.12094. Epub 2013/01/03. [DOI] [PubMed] [Google Scholar]
- 23.Kerr T, Marshall BD, Milloy MJ, Zhang R, Guillemi S, Montaner JS, et al. Patterns of heroin and cocaine injection and plasma HIV-1 RNA suppression among a long-term cohort of injection drug users. Drug Alcohol Depend. 2012;124(1–2):108–112. doi: 10.1016/j.drugalcdep.2011.12.019. Epub 2012/01/17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Fairbairn N, Small W, Van Borek N, Wood E, Kerr T. Social structural factors that shape assisted injecting practices among injection drug users in Vancouver, Canada: a qualitative study. Harm Reduct J. 2010;7:20. doi: 10.1186/1477-7517-7-20. Epub 2010/09/03. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Richardson LA, Milloy MJ, Kerr TH, Parashar S, Montaner JS, Wood E. Employment predicts decreased mortality among HIV-seropositive illicit drug users in a setting of universal HIV care. Journal of epidemiology and community health. 2014;68(1):93–96. doi: 10.1136/jech-2013-202918. Epub 2013/10/25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Goldenberg SM, Chettiar J, Simo A, Silverman JG, Strathdee SA, Montaner JS, et al. Early Sex Work Initiation Independently Elevates Odds of HIV Infection and Police Arrest Among Adult Sex Workers in a Canadian Setting. J Acquir Immune Defic Syndr. 2014;65(1):122–128. doi: 10.1097/QAI.0b013e3182a98ee6. Epub 2013/08/29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Arnold EA, Hazelton P, Lane T, Christopoulos KA, Galindo GR, Steward WT, et al. A qualitative study of provider thoughts on implementing pre-exposure prophylaxis (PrEP) in clinical settings to prevent HIV infection. PLoS One. 2012;7(7):e40603. doi: 10.1371/journal.pone.0040603. Epub 2012/07/14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Galai N, Safaeian M, Vlahov D, Bolotin A, Celentano DD, Study A. Longitudinal patterns of drug injection behavior in the ALIVE Study cohort,1988–2000: description and determinants. Am J Epidemiol. 2003;158(7):695–704. doi: 10.1093/aje/kwg209. Epub 2003/09/26. [DOI] [PubMed] [Google Scholar]