Abstract
Previous research indicates that criminalization of sex work is associated with harms among sex workers. In 2013, the Vancouver Police Department changed their sex work policy to no longer target sex workers while continuing to target clients and third parties in an effort to increase the safety of sex workers (similar to “end-demand sex work” approaches being adopted in a number of countries globally). We sought to investigate the trends and correlates of rushing negotiations with clients due to police presence among 359 sex workers who use drugs in Vancouver before and after the guideline change. Data were derived from three prospective cohort studies of people who use drugs in Vancouver between 2008 and 2014. We used sex-stratified multivariable generalized estimating equation models. The crude percentages of sex workers who use drugs reporting rushing client negotiations changed from 8.9% before the guideline change to 14.8% after the guideline change among 259 women, and from 8.6 to 7.1% among 100 men. In multivariable analyses, there was a significant increase in reports of rushing client negotiation after the guideline change among women (p = 0.04). Other variables that were independently associated with increased odds of rushing client negotiation included experiencing client-perpetrated violence (among both men and women) and non-heterosexual orientation (among women) (all p < 0.05). These findings indicate that despite the policing guideline change, rushed client negotiation due to police presence appeared to have increased among our sample of female sex workers who use drugs. It was also associated with client-perpetrated violence and other markers of vulnerability. These findings lend further evidence that criminalizing the purchase of sexual services does not protect the health and safety of sex workers.
Keywords: Sex work, Sexual health, Law enforcement, Canada, Epidemiology
Introduction
In recent years, many international organizations and expert groups, including the World Health Organization and the Global Commission on HIV and the Law, among others, have endorsed the decriminalization of sex work among adults due to the well-documented harms associated with the criminalization of sex work [1–5]. It has been associated with greater risk of experiencing violence, abuse, and discrimination, and increased risk of human immunodeficiency virus (HIV) and other sexually transmitted infections (STIs) among sex workers [1–3, 6, 7]. In areas where sex work is criminalized, street-based sex workers may be displaced to more isolated areas, where they are at an elevated risk of intimidation, violence, theft, and rape, as there are fewer witnesses to protect them [1, 7–11] and they experience a lack of legal protection [8]. When sex workers are more concerned about risk of violence, their ability to negotiate condom use is limited [1, 8, 10, 11], as they must prioritize their immediate safety over risk for infectious disease acquisition [11–13]. Furthermore, police presence adds additional pressure for sex workers to rush client negotiations, which has been found to increase the odds of client-perpetrated violence [14–16]. Cumulatively, these factors impose barriers to sex worker’s access to health and social services and ability to report client-perpetrated violence to the police [1–3, 6, 7]. Despite a large body of evidence that supports the decriminalization of sex work, many countries continue to criminalize sex work or various aspects of it, which effectively makes sex work illegal [1–3, 8, 17–19].
In Canada, the Protection of Communities and Exploited Persons Act (PCEPA) came into effect in December 2014, through which, for the first time in Canadian history, purchasing of sex and third-party advertising of sexual services have been criminalized. Although sex work itself has never been illegal in Canada, laws governing sex work have resulted in a restrictive environment for sex workers since before the Act was passed [10, 11]. For example, communication of sexual services in public spaces and sex work in indoor, supported environments were prohibited [10, 20]. In light of human rights concerns from these restrictions, the Supreme Court of Canada struck down these criminal laws in December 2012 in a unanimous decision (Canada vs. Bedford). However, Canada, as other countries and jurisdictions globally, has increasingly turned to the “End Demand” approaches (or the “Nordic Model”) that have been implemented in several European countries, which focus on criminalizing and targeting the client of sex workers and third parties (e.g., managers) [21]. Adopting this “end demand” approach, in January of 2013, the Vancouver Police Department (VPD) created a new enforcement guideline that was intended to prioritize the safety of and prevent violence against sex workers [22], but continued to target clients and third parties, while de-prioritizing the targeting of sex workers except in cases of last resort [22]. Previous research demonstrated that there was no statistically significant change in the rates of physical and sexual violence reported by street-involved sex workers in this setting 8 months before and after the policy change [23]. Further, an analysis of publicly-available police arrest date before/ after the legal changes found a 51% increase in police arrest on “prostitution” charges, demonstrating an increase in targeting of clients in 2013 [23]. Qualitative interview data from street-based sex workers indicated that the client’s fear of police detection and arrest resulted in maintaining sex workers’ vulnerability to harms in the year post-guideline implementation [23]. For example, sex workers experienced pressure from potential clients to quickly negotiate terms of the sexual transactions. This served to impede the sex worker’s ability to screen clients for potential weapons or intoxication and check “bad date” sheets for past violent clients, which are well-documented techniques for sex workers to reduce harms such as risk of violence, abuse, and HIV/STIs [7, 11, 13, 23–25].
Given legal and policy changes targeting clients but not sex workers have been suggested to particularly impact the most marginalized and visible sex workers, including those who use drugs, we sought to conduct a longitudinal analysis to examine the trends and correlates of rushing negotiation with a client due to police presence among sex workers who use drugs in the cohorts in Vancouver, Canada, during periods before and after the implementation of new policing guidelines by the VPD. This analysis takes advantage of data from three large ongoing prospective cohorts of people who use drugs in this setting. As the data collected up until November 2014 were available for the analyses, the present study referred to the period before the new PCEPA laws came into effect and prior to further changes in VPD. Specifically, since December of 2014, the VPD has moved to no longer target clients [26]; however, the implementation of the 2013 guidelines provides a critical window to evaluating the impact of end-demand enforcement approaches on some of the most marginalized and visible sex workers (e.g., those who use drugs).
Methods
Study Procedures and Participants
Data for this study were obtained from the At-Risk Youth Study (ARYS), the AIDS Care Cohort to evaluate Exposure to Survival Services (ACCESS), and the Vancouver Injection Drug Users Study (VIDUS). Details of these ongoing open prospective cohort studies have been described elsewhere [27–29]. VIDUS and ACCESS began enrolling people who use drugs in the Greater Vancouver region in May 1996. VIDUS follows HIV-negative people who inject drugs and ACCESS follows HIV-positive people who use illicit drugs other than or in addition to cannabis. The ARYS cohort was founded in 2005 and enrolls street-involved youth aged 14–26 years who use illicit drugs other than or in addition to cannabis.
The common enrollment criteria of the three studies were age of at least 14 years, provision of informed consent, and residence in the Greater Vancouver region. All studies utilized harmonized follow-up and data collection procedures and tools, enabling us to combine data from studies with different inclusion criteria. Specifically, eligible participants were invited to complete an interviewer-administered questionnaire to obtain information regarding their sociodemographic characteristics, HIV risk behavior, drug use, and healthcare access. A separate assessment was then completed by a nurse to screen for various health conditions and obtain a blood sample for HIV serology. The participants were followed up every 6 months and were remunerated with $30 CAD for each visit. All cohort studies have been approved by the University of British Columbia/Providence Health Care Research Ethics Board.
For the present analyses, the participants were eligible if they completed at least one study visit between December 1, 2008, and November 30, 2014, were 18 years of age or older, and reported residing in the Lower Mainland (i.e., within the VPD jurisdiction) and engaging in sex work (i.e., having exchanged sex for gifts, food, clothing, shelter, money, or drugs) during the previous 6 months at each interview.
Study Variables
The primary outcome measure was “rushed client negotiation” defined as rushing negotiations with a sex work client in a public space due to police presence in the previous 6 months (yes vs. no). We considered explanatory variables that we hypothesized might be associated with rushed client negotiation. These included interview date (on and after July 1, 2013–November 30, 2014, vs. before January 1, 2013), age, ethnicity/ancestry (White vs. visible minority), sexual orientation (non-heterosexual vs. heterosexual), experiencing client-perpetrated violence (including physical, sexual, and verbal violence; yes vs. no), unprotected vaginal/anal sex with a client (yes vs. no), homelessness (yes vs. no), Downtown Eastside (DTES) residence (yes vs. no), heroin use (≥daily vs. <daily), illicit prescription opioid use (≥daily vs. <daily), stimulant (i.e., powder or crack cocaine, and crystal methamphetamine) use (≥daily vs. <daily), heavy alcohol use (yes vs. no), drug or alcohol treatment (yes vs. no), incarceration ever (yes vs. no), non-fatal overdose (yes vs. no), HIV positive (yes vs. no), and cohort enrollment (ACCESS vs. VIDUS and ARYS vs. VIDUS). As the primary outcome (rushed client negotiation) referred to anytime in the 6 months prior to interviews, we removed observations made between January 1 and June 30, 2013, to compare time periods before and after the VPD policy change (January 1, 2013). DTES residence was included because Vancouver’s DTES is home to one of the largest open drug scenes in North America [30]. Heavy alcohol use was defined according to the National Institute on Alcohol Abuse and Alcoholism as an “average of >3 alcoholic drinks per occasion or >7 drinks per week in the past six months for women, and an average of >4 alcoholic drinks per occasion or >14 drinks in total per week in the past six months for men” [31]. Behavioral variables referred to the previous 6 months unless otherwise indicated. All variables except for ethnicity/ancestry and sexual orientation were treated as time-varying variables.
Statistical Analysis
All analyses were stratified by sex (female vs. male). Then, as a first step, we examined the baseline sample characteristics stratified by reports of rushing client negotiation due to police presence, using Pearson’s chi-squared test (for categorical variables) and the Mann-Whitney test (for continuous variables).
Since analyses of factors potentially associated with rushing client negotiations included serial measures for each participant, we used a generalized estimating equation (GEE) with logit link, which provided standard errors adjusted by multiple observations per person using an exchangeable correlation structure. Therefore, data from every participant follow-up visit were considered in this analysis. As a first step, we used univariable GEE analyses to determine factors associated with rushing client negotiations. Next, because our study aimed to identify the set of variables that best explain a higher odds of rushing client negotiation, we used an a priori-defined backward model selection procedure based on examination of quasilikelihood under the independence model criterion statistic (QIC) to fit a multivariable model. In brief, we first included all explanatory variables that were associated rushing client negotiations at the level of p < 0.10 in univariable analyses in a full model. After examining the QIC of the model, we removed the variable with the largest p value and built a reduced model. We continued this iterative process and selected the multivariable model with the lowest QIC value [32].
All p values are two sided. All statistical analyses were performed using RStudio, version 0.99.892 (R Foundation for Statistical Computing, Vienna, Austria) [33].
Results
In total, 359 participants were eligible for the present analyses, including 259 (72.1%) women. Of these, the median age at baseline was 36 years (interquartile range [IQR] 28–45) among females and 26 years (IQR 22–37) among males. Overall, these 359 individuals contributed 981 observations (772 among females and 209 among males) to the analysis. Table 1 shows the baseline sample characteristics. As shown, 49 (13.6%) of the 359 participants (14.7% among females and 11.0% among males) reported rushing client negotiation due to police presence during the previous 6 months at baseline. In total, 80 (22.3%) unique individuals (24.7% among females and 16.0% among males) made a total of 98 reports of rushed client negotiation at some point during the study period. Figure 1 depicts the percentages of reporting rushed client negotiation in public places due to police presence before January 1, 2013, and after July 1, 2013 (interview date). The percentages changed from 8.9 to 14.8% and from 8.6 to 7.1% for women and men, respectively.
Table 1.
Baseline characteristics, stratified by sex, of 359 sex workers in Vancouver, Canada
Characteristics | Total n (%) | Males n (%) | Females n (%) | p value |
---|---|---|---|---|
359 (100) | 100 (27.9) | 259 (72.1) | ||
Rushed negotiation with client due to police presencea | 49 (13.6) | 11 (11.0) | 38 (14.7) | 0.364 |
Median age (IQR) | 33.0 (25.0–43.0) | 25.7 (22.2–36.7) | 35.5 (28.4–44.6) | <0.001b |
Caucasian ethnicity | 182 (50.7) | 57 (57.0) | 125 (48.3) | 0.138 |
Non-heterosexual | 114 (31.8) | 55 (55.0) | 59 (22.8) | <0.001 |
Experiencing client-perpetrated violencea | 39 (10.9) | 8 (8.0) | 31 (12.0) | 0.324 |
Unprotected sex with a clienta | 158 (44.0) | 60 (60.0) | 98 (37.8) | <0.001 |
Homelessa | 165 (46.0) | 59 (59.0) | 106 (40.9) | 0.002 |
DTES residencea | 267 (74.4) | 45 (45.0) | 222 (85.7) | <0.001 |
≥Daily heroin usea, c | 107 (29.8) | 18 (18.0) | 89 (34.4) | 0.003 |
≥Daily prescription opioid usea, c | 19 (5.3) | 5 (5.0) | 14 (5.4) | 0.897 |
≥Daily stimulant usea, c | 212 (59.1) | 45 (45.0) | 167 (64.5) | 0.001 |
Heavy alcohol usea | 64 (17.8) | 19 (19.0) | 45 (17.4) | 0.742 |
Drug or alcohol treatmenta | 230 (64.1) | 62 (62.0) | 168 (64.9) | 0.491 |
Incarceration ever | 286 (79.7) | 78 (78.0) | 208 (80.3) | 0.626 |
Overdosea | 50 (13.9) | 22 (22.0) | 28 (10.8) | 0.006 |
HIV positive | 119 (33.1) | 31 (31.0) | 88 (34.0) | 0.56 |
Cohort | ||||
ACCESS | 119 (33.15) | 31 (31.0) | 88 (33.98) | <0.001 |
ARYS | 97 (27.02) | 51 (51.0) | 46 (17.76) | |
VIDUS | 143 (39.83) | 18 (18.0) | 125 (48.26) |
IQR interquartile range, DTES downtown Eastside, HIV human immunodeficiency virus
aDenotes activities in the previous 6 months
bDenotes Mann-Whitney p value
cDenotes via injection or non-injection
Fig. 1.
Percentage reporting rushed client negotiation in public places due to police presence among sex workers in VIDUS, ACCESS, and ARYS cohorts, interviewed before January 1, 2013, and on/after July 1, 2013 (n = 359).
The results of the univariable and multivariable GEE analyses of factors associated with rushing client negotiation due to police presence during the previous 6 months are presented in Table 2. As shown, in the final multivariable model, factors that remained independently and positively associated with rushing client negotiation among females included experiencing client-perpetrated violence (adjusted odds ratio [AOR] 2.55, 95% confidence interval [CI] 1.41–4.63), interview date on or after July 1, 2013 (AOR 1.73, 95% CI 1.03–2.90), and non-heterosexual orientation (AOR 1.85, 95% CI 1.03–3.33). Factors that remained independently and positively associated with rushing client negotiation among males included experiencing client-perpetrated violence (AOR 8.51, 95% CI 2.25–32.18).
Table 2.
Univariable and multivariable GEE analyses of factors associated with rushing client negotiation due to police presence in the previous 6 months, stratified by sex, among sex workers in Vancouver, Canada (n = 359)
Characteristic | Males (n = 100) | Females (n = 259) | ||
---|---|---|---|---|
Unadjusted OR (95% CI) | Adjusted OR (95% CI) | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
Interview date (on and after July 1, 2013, vs. before January 1, 2013) | 0.81 (0.27–2.43) | 1.71 (1.08–2.72) | 1.73 (1.03–2.90) | |
Age | 0.50 (0.23–1.11) | 0.63 (0.27–1.45) | 0.74 (0.59–0.94) | |
Caucasian ancestry (yes vs. no) | 1.63 (0.61–4.38) | 0.78 (0.47–1.31) | ||
Sexual orientation (non-heterosexual vs. heterosexual) | 1.41 (0.52–3.85) | 1.92 (1.06–3.50) | 1.85 (1.03–3.33) | |
Experiencing client-perpetrated violencea (yes vs. no) | 7.69 (2.00–29.55) | 8.51 (2.25–32.18) | 2.68 (1.42–5.05) | 2.55 (1.41–4.63) |
Unprotected sex with a clienta (yes vs. no) | 1.14 (0.48–2.68) | 1.74 (1.09–2.80) | 1.49 (0.89–2.50) | |
Homelessnessa (yes vs. no) | 1.43 (0.58–3.55) | 1.68 (1.04–2.71) | ||
DTES residencea (yes vs. no) | 0.68 (0.24–1.89) | 1.20 (0.55–2.62) | ||
≥Daily heroin usea (yes vs. no) | 3.28 (1.28–8.40) | 2.32 (0.76–7.07) | 1.94 (1.19–3.15) | 1.53 (0.92–2.55) |
≥Daily prescription opioid usea (yes vs. no) | 2.05 (0.22–19.32) | 1.09 (0.35–3.41) | ||
≥Daily stimulant usea (yes vs. no) | 2.53 (0.88–7.31) | 3.18 (0.99–10.17) | 1.41 (0.81–2.44) | |
Heavy alcohol usea (yes vs. no) | 0.89 (0.20–3.89) | 1.43 (0.83–2.45) | ||
Drug or alcohol treatmenta (yes vs. no) | 0.98 (0.34–2.84) | 1.31 (0.76–2.27) | ||
Incarceration ever (yes vs. no) | 1.04 (0.30–3.60) | 1.18 (0.57–2.45) | ||
Overdosea (yes vs. no) | 0.87 (0.26–2.87) | 1.67 (0.78–3.56) | ||
HIV positive (yes vs. no) | 0.25 (0.06–1.00) | 0.73 (0.42–1.27) | ||
Cohort | ||||
(ACCESS vs. VIDUS) | 0.68 (0.10–4.59) | 0.75 (0.42–1.34) | ||
(ARYS vs. VIDUS) | 3.43 (0.73–16.03) | 1.12 (0.54–2.30) |
GEE generalized estimating equations, CI confidence interval, DTES Downtown Eastside, HIV human immunodeficiency virus, ACCESS AIDS Care Cohort to Evaluate Access to Survival Services, ARYS At-Risk Youth Study
aDenotes activities in the previous 6 months
Discussion
We found that approximately one quarter of sex workers who use drugs in our sample reported rushed negotiation with clients due to police presence at least once between 2008 and 2014. The multivariable analyses showed that since the new enforcement guideline adopted by the VPD in 2013, reports of rushing client negotiation due to police presence have significantly increased among female sex workers. After extensive confounder adjustment, experiencing client-perpetrated violence remained associated with rushing negotiation with clients among both male and female sex workers. In addition, self-identifying as non-heterosexual (among women only) was independently correlated with rushing client negotiation.
Our findings of increased rates of reports of female sex workers rushing client negotiation in public places due to police presence after the VPD policy change are consistent with the results of Krüsi et al. They found that when the police targeted clients, violence rates were unchanged and, since it remained in the shared interest of the sex worker and the client to be undetected by the police, the negotiation of the terms of the transaction was rushed [23]. Although sex workers were no longer being targeted directly by the police, the enforcement environment that continued to target clients during our study period appeared to put pressure on sex workers to rush the screening. Initial screening of prospective clients, such as checking bad date sheets, and negotiating the terms of the transaction, such as where it will take place, the fee, and condom use, are essential to protect the safety of sex workers [7, 11, 13, 23–25] and among the key evidence cited by the Supreme Court of Canada in striking down the old criminal laws. When negotiations are rushed or forgone, sex workers are known to face significantly increased risk of violence, abuse, and condom refusal, which can result in HIV/STIs [7, 11, 13, 23–25, 34].
Also consistent with the findings of Krüsi et al. [23] as well as longitudinal analyses prior to the legal changes [7], we found that among our set of explanatory variables, experiencing client-perpetrated violence had the strongest association with rushing negotiation with clients among both male and female sex workers. Violence or the threat of violence by clients has been shown to reduce sex worker harm reduction practices such as safely negotiating male condom use, thereby increasing risk for HIV infection [11, 35–39]. Additionally, client-perpetrated violence has been highly associated with inability to access substance use treatment [7]. Given that client-perpetrated violence is a serious negative health outcome in itself as well as associated with a range of other harms, our findings suggest that mitigating rushing client negotiation may be an important step towards harm reduction among sex workers.
We also found that the post-policy change was not associated with rushing client negotiation among male sex workers even in univariable analyses. A recent study in Vancouver highlights a shift from the streets to online sex work among men and trans sex workers, which provides an environment with a greater ability to screen prospective clients and negotiate the terms of the transaction [40]. Additionally, online sex work has been found to provide a less violent and stigmatizing environment for sex workers [41, 42]. This may explain the gender-based differences identified in our analyses, although the sample size of male sex workers was small, and therefore, we might have been underpowered to detect temporal trends in the rates of rushing client negotiations.
Our findings suggest that despite the intended efforts of the VPD to prioritize the safety of and prevent violence against sex workers through de-prioritizing the targeting of sex workers, so long as clients continue to be targets of enforcements, sex workers continued to rush client negotiation due to police presence. Additionally, rushing client negotiation was found to be associated with increased client-perpetrated violence. Taken together with the previous literature indicating that the criminalization of sex buyers could lead to furthering the marginalization of sex workers and restricting their ability to negotiate sexual transactions for risk reduction [43–45], our results therefore lend further support to the need to consider decriminalization of sex work in order to mitigate the harms to sex workers associated with rushing client negotiation, particularly violence. In New Zealand, where sex work has been decriminalized since 2003, sex workers experience opportunities to develop stable and safe work environments and enhanced capability to manage negotiations for safe sex practices with clients [46]. However, among high-income countries, such as Canada, there has been a trend towards end-demand criminalization of clients and third parties, in the absence of any scientific data to support this approach to protect sex workers. This situation further highlights the significance of our findings; as now clients are not solely being targeted for purchasing sex work, the most marginalized and visible sex workers, including those who use drugs, are unable to protect themselves from violence or other poor health outcomes by the critical strategy of screening prospective clients.
This study has several limitations. First, as our cohort participants were not recruited at random, and our study sample was restricted to drug-using sex workers, the generalizability of our findings may be limited. Second, the self-reported data may be affected by response bias including socially desirable responding. However, previous research has shown that reported behaviors by people who use drugs were generally truthful and reliable [47, 48]. Third, although we restricted our sample to those residing within VPD jurisdiction, there is a possibility that some participants worked outside of the VPD jurisdiction where traditional law enforcement activities that targeted sex workers were taking place. Unfortunately, we were unable to account for such potential difference between the location of residence and work. This may have led to the overestimation of the outcome. Lastly, the observational research study design may have excluded some important unmeasured confounding variables from consideration, although we did extensively adjust for potential confounding variables.
In sum, we found that there appeared to be a significant increase in reports of female sex workers rushing client negotiation due to police presence before and after the 2013 law enforcement guideline change, which deemphasized targeting sex workers and temporarily scaled up efforts to target clients. Consistent with a large body of literature, rushing client negotiations was associated with client-perpetrated violence and other markers of vulnerability. These findings support the growing body of literature suggesting that criminalizing sex work or aspects of it does not protect the safety and health of sex workers.
Acknowledgments
The authors sincerely appreciate the study participants of ACCESS, VIDUS, and ARYS for their contribution to the research, as well as current and past researchers and staff. The study was supported by the US National Institutes of Health (U01DA038886, R01DA021525) and the Canadian Institutes of Health Research (MOP–102742). This research was undertaken, in part, thanks to funding from the Canada Research Chairs program through a Tier 1 Canada Research Chair in Inner City Medicine which supports Dr. Evan Wood. Dr. Kanna Hayashi is supported by the Canadian Institutes of Health Research New Investigator Award (MSH-141971). Dr. Kora DeBeck is supported by a MSFHR/St. Paul’s Hospital Foundation-Providence Health Care Career Scholar Award and a Canadian Institutes of Health Research New Investigator Award. Dr. Milloy is supported in part by the US National Institutes of Health (R01-DA0251525), a CIHR New Investigator Award, and a Michael Smith Foundation for Health Research Scholar award. His institution has received unstructured funding from NG Biomed, Ltd., to support his research. Dr. Kate Shannon is partially supported through a Canada Research Chair in Global Sexual Health and HIV/AIDS and NIH (R01-DA028648).
Compliance with Ethical Standards
All cohort studies have been approved by the University of British Columbia/Providence Health Care Research Ethics Board.
References
- 1.Gruskin S, Pierce GW, Ferguson L. Realigning government action with public health evidence: the legal and policy environment affecting sex work and HIV in Asia. Cult Health Sex. 2014;16(1):14–29. [DOI] [PubMed]
- 2.UNAIDS. (Joint United Nations Programme on HIV/AIDS). UNAIDS Guidance Note on HIV and Sex Work. Geneva: Joint United Nations Programme on HIV/AIDS; 2012.
- 3.Rekart ML. Sex-work harm reduction. Lancet. 2005;366(9503):2123–2134. doi: 10.1016/S0140-6736(05)67732-X. [DOI] [PubMed] [Google Scholar]
- 4.WHO, UNFPA, UNAIDS, NSWP . Prevention and Treatment of HIV and Other Sexually Transmitted Infections for Sex Workers in Low- and Middle-Income Countries: Recommendations for a Public Health Approach. Geneva, Switzerland: World Health Organization; 2012. [PubMed] [Google Scholar]
- 5.Godwin J. Sex Work and the Law in Asia and the Pacific: Laws, HIV and Human Rights in the Context of Sex Work. Bangkok, Thailand: UNAIDS, UNFPA, UNDP; 2012. [Google Scholar]
- 6.Shannon K, Montaner JS. The politics and policies of HIV prevention in sex work. Lancet Infect Dis. 2012;12(7):500–2. [DOI] [PMC free article] [PubMed]
- 7.Shannon K, Kerr T, Strathdee SA, Shoveller J, Montaner JS, Tyndall MW. Prevalence and structural correlates of gender based violence among a prospective cohort of female sex workers. BMJ. 2009;339:b2939. [DOI] [PMC free article] [PubMed]
- 8.Shannon K, Csete J. Violence, condom negotiation, and HIV/STI risk among sex workers. JAMA. 2010;304(5):573–4. [DOI] [PubMed]
- 9.Tenni B, Carpenter J, Thomson N. Arresting HIV: fostering partnerships between sex workers and police to reduce HIV risk and promote professionalization within policing institutions: a realist review. PLoS One. 2015;10(10):e0134900. doi: 10.1371/journal.pone.0134900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.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(4):911–921. doi: 10.1016/j.socscimed.2007.11.008. [DOI] [PubMed] [Google Scholar]
- 11.Shannon K, Strathdee SA, Shoveller J, Rusch M, Kerr T, Tyndall MW. Structural and environmental barriers to condom use negotiation with clients among female sex workers: implications for HIV-prevention strategies and policy. Am J Public Health. 2009;99(4):659–665. doi: 10.2105/AJPH.2007.129858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Rhodes T, Simic M, Baros S, Platt L, Zikic B. Police violence and sexual risk among female and transvestite sex workers in Serbia: qualitative study. BMJ. 2008;337:a811. doi: 10.1136/bmj.a811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Decker MR, McCauley HL, Phuengsamran D, Janyam S, Seage GR, 3rd, Silverman JG. Violence victimisation, sexual risk and sexually transmitted infection symptoms among female sex workers in Thailand. Sex Transm Infect. 2010;86(3):236–240. doi: 10.1136/sti.2009.037846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Muldoon KA. A systematic review of the clinical and social epidemiological research among sex workers in Uganda. BMC Public Health. 2015;15:1226. doi: 10.1186/s12889-015-2553-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Erickson M, Goldenberg SM, Ajok M, Muldoon KA, Muzaaya G, Shannon K. Structural determinants of dual contraceptive use among female sex workers in Gulu, northern Uganda. Int J Gynaecol Obstet. 2015;131(1):91–95. doi: 10.1016/j.ijgo.2015.04.029. [DOI] [PubMed] [Google Scholar]
- 16.Muldoon KA, Akello M, Muzaaya G, Simo A, Shoveller J, Shannon K. Policing the epidemic: high burden of workplace violence among female sex workers in conflict-affected northern Uganda. Glob Public Health. 2015:1–14. [DOI] [PubMed]
- 17.Harcourt C, Egger S, Donovan B. Sex work and the law. Sex Health. 2005;2(3):121–128. doi: 10.1071/SH04042. [DOI] [PubMed] [Google Scholar]
- 18.Donovan B, Harcourt C, Egger S, Fairley CK. Improving the health of sex workers in NSW: maintaining success. N S W Public Health Bull. 2010;21(3–4):74–77. doi: 10.1071/NB10013. [DOI] [PubMed] [Google Scholar]
- 19.Platt L, Jolley E, Rhodes T, Hope V, Latypov A, Reynolds L, et al. Factors mediating HIV risk among female sex workers in Europe: a systematic review and ecological analysis. BMJ Open. 2013;3(7). [DOI] [PMC free article] [PubMed]
- 20.Lazarus L, Deering KN, Nabess R, Gibson K, Tyndall MW, Shannon K. Occupational stigma as a primary barrier to health care for street-based sex workers in Canada. Cult Health Sex. 2012;14(2):139–150. doi: 10.1080/13691058.2011.628411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Canadian Public Health Association . Sex Work in Canada. Ottawa, Canada: Canadian Public Health Association; 2014. [Google Scholar]
- 22.Vancouver Police Department . Sex Work Enforcement Guidelines. Vancouver, Canada: Vancouver Police Department; 2013. [Google Scholar]
- 23.Krusi A, Pacey K, Bird L, Taylor C, Chettiar J, Allan S, et al. Criminalisation of clients: reproducing vulnerabilities for violence and poor health among street-based sex workers in Canada—a qualitative study. BMJ Ppen. 2014;4(6):e005191. doi: 10.1136/bmjopen-2014-005191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Krusi A, Chettiar J, Ridgway A, Abbott J, Strathdee SA, Shannon K. Negotiating safety and sexual risk reduction with clients in unsanctioned safer indoor sex work environments: a qualitative study. Am J Public Health. 2012;102(6):1154–1159. doi: 10.2105/AJPH.2011.300638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Decker MR, Wirtz AL, Baral SD, Peryshkina A, Mogilnyi V, Weber RA, et al. Injection drug use, sexual risk, violence and STI/HIV among Moscow female sex workers. Sex Transm Infect. 2012;88(4):278–283. doi: 10.1136/sextrans-2011-050171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Li W. Vancouver police to prioritize safety over anti-prostitution laws. The Globe and Mail. 2014.
- 27.Tyndall MW, Currie S, Spittal P, Li K, Wood E, O'Shaughnessy MV, et al. Intensive injection cocaine use as the primary risk factor in the Vancouver HIV-1 epidemic. AIDS. 2003;17(6):887–893. doi: 10.1097/00002030-200304110-00014. [DOI] [PubMed] [Google Scholar]
- 28.Strathdee SA, Palepu A, Cornelisse PG, Yip B, O'Shaughnessy MV, Montaner JS, et al. Barriers to use of free antiretroviral therapy in injection drug users. JAMA. 1998;280(6):547–549. doi: 10.1001/jama.280.6.547. [DOI] [PubMed] [Google Scholar]
- 29.Wood E, Stoltz JA, Montaner JS, Kerr T. Evaluating methamphetamine use and risks of injection initiation among street youth: the ARYS study. Harm Reduct J. 2006;3:18. doi: 10.1186/1477-7517-3-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wood E, Kerr T, Small W, Li K, Marsh DC, Montaner JS, et al. Changes in public order after the opening of a medically supervised safer injecting facility for illicit injection drug users. CMAJ. 2004;171(7):731–734. doi: 10.1503/cmaj.1040774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kennedy MC, Marshall BD, Hayashi K, Nguyen P, Wood E, Kerr T. Heavy alcohol use and suicidal behavior among people who use illicit drugs: a cohort study. Drug Alcohol Depend. 2015;151:272–277. doi: 10.1016/j.drugalcdep.2015.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Pan W. Akaike’s information criterion in generalized estimating equations. Biometrics. 2001;57(1):120–125. doi: 10.1111/j.0006-341X.2001.00120.x. [DOI] [PubMed] [Google Scholar]
- 33.Team RC. R: a Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2016. [Google Scholar]
- 34.Deering KN, Lyons T, Feng CX, Nosyk B, Strathdee SA, Montaner JS, et al. Client demands for unsafe sex: the socioeconomic risk environment for HIV among street and off-street sex workers. J Acquir Immune Defic Syndr. 2013;63(4):522–531. doi: 10.1097/QAI.0b013e3182968d39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Shannon K, Strathdee SA, Goldenberg SM, Duff P, Mwangi P, Rusakova M, et al. Global epidemiology of HIV among female sex workers: influence of structural determinants. Lancet. 2015;385(9962):55–71. doi: 10.1016/S0140-6736(14)60931-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Beattie TS, Bhattacharjee P, Ramesh BM, Gurnani V, Anthony J, Isac S, et al. Violence against female sex workers in Karnataka state, south India: impact on health, and reductions in violence following an intervention program. BMC Public Health. 2010;10:476. doi: 10.1186/1471-2458-10-476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ramesh S, Ganju D, Mahapatra B, Mishra RM, Saggurti N. Relationship between mobility, violence and HIV/STI among female sex workers in Andhra Pradesh. India BMC Public Health. 2012;12:764. doi: 10.1186/1471-2458-12-764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bharat S, Mahapatra B, Roy S, Saggurti N. Are female sex workers able to negotiate condom use with male clients? The case of mobile FSWs in four high HIV prevalence states of India. PLoS One. 2013;8(6):e68043. doi: 10.1371/journal.pone.0068043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Deering KN, Bhattacharjee P, Mohan HL, Bradley J, Shannon K, Boily MC, et al. Violence and HIV risk among female sex workers in southern India. Sex Transm Dis. 2013;40(2):168–174. doi: 10.1097/olq.0b013e31827df174. [DOI] [PubMed] [Google Scholar]
- 40.Argento E, Taylor M, Jollimore J, Taylor C, Jennex J, Krusi A, et al. The loss of boystown and transition to online sex work: strategies and barriers to increase safety among men sex workers and clients of men. Am J Mens Health. 2016; doi:10.1177/1557988316655785. [DOI] [PMC free article] [PubMed]
- 41.MacPhail C, Scott J, Minichiello V. Technology, normalisation and male sex work. Cult Health Sex. 2015;17(4):483–495. doi: 10.1080/13691058.2014.951396. [DOI] [PubMed] [Google Scholar]
- 42.Minichiello V, Scott J, Callander D. New pleasures and old dangers: reinventing male sex work. J Sex Res. 2013;50(3–4):263–275. doi: 10.1080/00224499.2012.760189. [DOI] [PubMed] [Google Scholar]
- 43.Krusi A, Kerr T, Taylor C, Rhodes T, Shannon K. ‘They won’t change it back in their heads that we’re trash’: the intersection of sex work-related stigma and evolving policing strategies. Sociol Health Illn. 2016 doi: 10.1111/1467-9566.12436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Open Society Foundation . Laws and Policies Affecting Sex Work—a Reference Brief. New York, NY: Open Society Foundation; 2012. [Google Scholar]
- 45.Scoular J. Criminalising ‘Punters’: evaluating the Swedish position on prostitution. J Soc Welf Fam Law. 2004;26:195–210. doi: 10.1080/014180304200023114. [DOI] [Google Scholar]
- 46.Healy C. HIV and the decriminalization of sex work in New Zealand. HIV AIDS Policy Law Review. 2006;11(2–3):73–74. [PubMed] [Google Scholar]
- 47.Darke S. Self-report among injecting drug users: a review. Drug Alcohol Depend. 1998;51(3):253–263. doi: 10.1016/S0376-8716(98)00028-3. [DOI] [PubMed] [Google Scholar]
- 48.Weatherby NL, Needle R, Cesari H, Booth R, Mccoy CB, Watters JK, et al. Validity of self-reported drug-use among injection-drug users and crack cocaine users recruited through street outreach. Eval Program Plann. 1994;17(4):347–355. doi: 10.1016/0149-7189(94)90035-3. [DOI] [Google Scholar]