Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Aug 1.
Published in final edited form as: J Acquir Immune Defic Syndr. 2013 Aug 1;63(4):522–531. doi: 10.1097/QAI.0b013e3182968d39

Client demands for unsafe sex: the socio-economic risk environment for HIV among street and off-street sex workers

Kathleen N DEERING 1,2, Tara LYONS 1,2, Cindy X FENG 3, Bohdan NOSYK 1, Steffanie A STRATHDEE 1,4, Julio SG MONTANER, Kate SHANNON 1,2,5
PMCID: PMC3706016  NIHMSID: NIHMS479007  PMID: 23614990

Abstract

Objective

Among sex workers (SWs) in Vancouver, Canada, this study identified social, drug use, sex work, environmental-structural and client-related factors associated with being offered and accepting more money after clients' demand for sex without a condom.

Design

Cross-sectional study using baseline (February/10-October/11) data from a longitudinal cohort of 510 SWs.

Methods

A two-part multivariable regression model was used to identify factors associated with two separate outcomes: (1) being offered and (2) accepting more money for sex without a condom in the last six months, among those who had been offered more money.

Results

The sample included 490 SWs. In multivariable analysis, being offered more money for sex without a condom was more likely for SWs who used speedballs, had higher average numbers of clients per week, had difficulty accessing condoms and had clients who visited other SWs. Accepting more money for sex without a condom was more likely for SWs self-reporting as a sexual minority and who had experienced client violence and used crystal methamphetamine use less than daily (vs. none), and less likely for SWs who solicited for clients mainly indoors (vs. outdoor/public places).

Conclusions

These results highlight the high demand for sex without a condom by clients of SWs. HIV prevention efforts should shift responsibility toward clients to reduce offers of more money for unsafe sex. Programs that mitigate the social and economic risk environments of SWs alongside the removal of criminal sanctions on sex work to enable condom use within safer indoor work spaces are urgently required.

Keywords: condom use, sex workers, Canada, HIV risk, clients

INTRODUCTION

Male condoms decrease the per-contact probability of male-to-female transmission of HIV by about 95% [1]. Increasing public health calls to focus on the `feminization of the HIV pandemic', and theoretical work on gender, women and HIV [2], point to the need for more nuanced analyses of negotiation of male condom use, recognizing the important role of gendered power dynamics. Condom use within commercial sex transactions has typically been framed as the responsibility of sex workers (SWs), with research overwhelmingly aimed toward identifying SWs at high risk for condom non-use and implementing behavioural interventions (e.g., education, counseling) to increase condom use. Influenced by the `risk environment' framework, which conceptualizes that individual HIV risk is mediated by environmental factors exogenous to the individual [3], a growing body of research has acknowledged the importance of structural factors in shaping SWs' vulnerability to HIV, including poverty and unstable housing, structural violence and government policies surrounding the regulation of sex work [48].

In the context of these structural factors, clients of SWs play a substantial and frequently unacknowledged role in determining the use of condoms for the prevention of HIV and other sexually transmitted infections (STIs) within commercial sex transactions. Negotiations for condom use between SWs and clients are situated within the interpersonal social environment of SWs and are influenced by a number of factors exogenous to individual SWs (e.g., sex work environment; client-related factors). Client reticence to condom use is widespread, with men resisting condom use even when they are aware they may face their own increased potential risk of acquiring HIV/STIs. Offers to SWs by clients for sex acts without condoms in exchange for financial incentives are common [911].

While SWs may face opposition and pressure to not use condoms by clients in the context of structural inequities, it is important to acknowledge SWs' agency and the complex negotiation process within transactions. SWs often have to make difficult micro-level decisions regarding their health and safety in the face of financial pressures and structural inequities, and face pressure to agree to sex without a condom in exchange for a higher fee [9, 10]. While most SWs who understand the personal risks would rather use condoms, some SWs may be prepared to make a trade-off in terms of their own health and safety.

While qualitative research has elucidated the complex relationships between economic incentives related to sex work and risk environments of HIV and violence [10, 12, 13], quantitative studies are rare, and largely focused on SWs who use drugs [9, 14]. The few studies have focused on economic costs to women when they practice safer sex (e.g., the amount women could lose by using condoms), or have presented theoretical economic models describing how compensation for sex work is linked with future health and social costs (e.g. stigma, forgone marriage opportunities, social exclusion, risks to health, safety and well-being)[1518]. The objective of our study was therefore to identify the associations between social, drug use, sex work, environmental-structural and client-related factors and being offered and accepting more money after clients' pressure for sex without a condom among a large sample of SWs in Vancouver, British Columbia. These relationships are examined in the context of Canada's quasi-criminalized approach to sex work; in most of Canada, including British Columbia, while sex work per se is legal, many of the activities surrounding sex work are criminalized (which apply equally to male, female and transgender sex workers and include communicating/soliciting for the purposes of prostitution; owning and operating a brothel/bawdy house; and living off the avails of prostitution), making the practice of sex work nearly impossible without breaking laws. To our knowledge, our study is the first to examine these relationships, which are critical in the understanding of how condom non-use can be addressed in public health interventions.

METHODS

Survey design and sample

Beginning in January 2010, youth and adult women (14 years+) were enrolled in a longitudinal cohort known as `An Evaluation of Sex Worker's Health Access' (`AESHA'). This study is based on substantial community collaborations (e.g., sex work agencies and service providers) existing since 2005, and is monitored by a Community Advisory Board with representatives from 15+ agencies. Using time-location sampling,[19] women who exchanged sex for money within the last 30 days (SWs) were recruited through outreach to outdoor sex work locations (i.e. streets, alleys), indoor sex work venues (i.e. massage parlours, micro-brothels, and in-call locations) and independent/self-advertising SWs (e.g. online, newspapers) in Metropolitan Vancouver. Our eligibility is inclusive of transgender individuals (male-to-female, MTF) who identify as women, based on our previous work [20] and community guidance, as MTF transgender individuals work in similar spaces as the female SW population, and access the same services as the female SWs (directed toward self-identifying women, transgender inclusive). Interviews were conducted in places where women felt comfortable (i.e., three office site locations across Vancouver; within indoor sex work venues). As executed previously, outdoor sex work `strolls' and indoor venues were identified through a participatory mapping exercise conducted with current/former SWs,[20] and continuously updated by the outreach team. The study holds ethical approval through Providence Health Care/University of British Columbia Research Ethics Board. All participants receive an honorarium of $40CAD at each bi-annual visit for their time, expertise and travel.

Questionnaires and measures

Following informed consent, at baseline and each semi-annual follow-up visit, participants completed questionnaires by trained interviewers (both SW and non-SW interviewers) that elicited responses relating to socio-demographics, sex work patterns/client experiences, work environments; occupational violence and interactions with policing, characteristics of non-commercial or regular partnerships, violence and trauma, and drug use. Participants also completed a nurse-administered questionnaire that elicited responses relating to overall physical, mental and emotional health, sexual and reproductive health and HIV testing and treatment. As part of the nursing visit, SWs were also provided with extensive pre/and post-test counseling, testing for HIV, Hepatitis C Virus (HCV) and STIs, and referral for care and support services. Biolytical INSTI rapid tests were used for HIV screening, with reactive tests confirmed by blood draw for western blot. Urine samples were collected for gonorrhea and chlamydia, and blood was drawn for syphilis, HSV-2 antibody, and HCV. Treatment was provided for symptomatic STI infections by an on-site nurse, and free serology and Papanicolaou testing were also available for those in need, regardless of study enrollment.

Outcome

Two outcomes were included: (1) being offered more money for sex without a condom; and (2) accepting more money for sex without a condom, by both regular and one-time clients; both outcomes were assessed in a six-month timeframe. Participants were considered to have positive (`yes') responses for each outcome if their responses included “always”, “usually”, “often” and “sometimes”, as opposed to “never” (`no'). The outcome variables were dichotomized since conceptually, women who reported being offered or accepting more money more frequently than `never' could potentially be exposed to HIV/STIs.

Explanatory variables

The relationships between the study outcomes and a number of explanatory variables were explored. All factors were self-reported and most factors, with the exception of age, sexual minority status and ethnicity, were reported on for the last six months. Table 1 provides a full list of explanatory variables. These included individual-level variables that capture effects within the social environment. For example, these include age, reporting being a sexual minority (lesbian, gay, bisexual, transgender, transsexual, two-spirit versus heterosexual and non-transgender), and ethnicity (Indigenous/Aboriginal ancestry, including First Nations and Métis, Inuit and visible minority, primarily comprised of Asian new immigrant/migrant SWs, versus Caucasian/white). These also included drug use and sex work-related factors (e.g., non-injection and injection drug use; exchanging sex while high), client-related factors (e.g., violence by clients) and environmental-structural variables (e.g., main place of soliciting for clients [Independent, including self-advertised, online, phone/texting; Indoor, including bars, brothels, massage/beauty parlours, dance/strip clubs; versus Outdoor/public, including streets and outdoor public spaces]).

Table 1.

Social, drug use, sex work, structural-environmental and client-related factors of sex workers (SWs) in Vancouver, Canada, according to whether or not they were offered more money for sex without a condom.

Offered more money for sex without a condom n=356 Not offered more money for sex without a condom n=134 OR [95% confidence intervals] p-value
(N (Proportion) or median (IQR)
Social
Age (years) 35.00 (28.00, 42.00) 35.00 (28.00, 44.00) 0.99 (0.97, 1.03) 0.600
Age at first sex work (years) 20.00 (16.00, 30.00) 20.00 (15.00, 29.00) 1.00 (0.98, 1.03) 0.694
Sexual identity
 Sexual minority 83 (23.4%) 37 (27.4%) 0.81 (0.51, 1.27) 0.354
 Straight 272 (76.6%) 98 (72.6%)
Ethnicity
 Aboriginal 132(37.2%) 58(43.0%) 0.74(0.46, 1.17) 0.193
 Visible minority 90(25.3%) 34(25.2%) 0.86(0.51, 1.44) 0.560
 Caucasian/white 133(37.5%) 43(31.8%)
Supports someone financially1
 Yes 105 (29.6%) 32 (23.7%) 1.35 (0.86, 2.14) 0.196
 No 250 (70.4%) 103 (76.3%)
Drug use
Crack use intensity
 Daily 135 (38.0%) 32 (23.7%) 1.70(1.03,2.81) 0.038
 Less than daily 91 (25.6%) 51 (37.8%) 0.72(0.45,1.15) 0.170
 None 129 (36.3%) 52 (38.5%)
Crystal meth intensity
 Daily 9 (2.5%) 2 (1.5%) 1.76(0.37,8.26) 0.475
 Less than daily 44 (12.4%) 15 (11.1%) 1.15(0.61, 2.14) 0.668
 None 302 (85.1%) 118 (87.4%)
Heroin intensity (injection)
 Daily 63 (17.7%) 19 (14.1%) 1.44(0.82,2.52) 0.207
 Less than daily 59 (16.6%) 15 (11.1%) 1.70(0.92,3.15) 0.088
 None 233 (65.6%) 101 (74.8%)
Cocaine (injection)
 Yes 62 (17.5%) 11 (8.1%) 2.39 (1.21, 4.68) 0.010
 No 293 (82.5%) 124 (91.9%)
Speedballs (injection)
 Yes 33 (9.3%) 2 (1.5%) 6.82 (1.61, 28.81) 0.003
 No 322 (90.7%) 133 (98.5%)
Sex work
Numbers of clients per week 12.00 (6.00, 20.00) 9.00 (4.00, 18.00) 1.03 (1.01, 1.06) 0.002
Exchange sex while high
 Yes 226 (63.7%) 71 (52.6%) 1.58 (1.06, 2.36) 0.025
 No 129 (36.3%) 64 (47.4%)
Sex work main income
 Yes 297 (83.7%) 103 (76.3%) 1.59 (0.98, 2.59) 0.060
 No 58 (16.3%) 32 (23.7%)
Has a manager/pimp2
 Yes 17 (4.8%) 5 (3.7%) 1.31 (0.47, 3.62) 0.604
 No 338 (95.2%) 130 (96.3%)
Environmental-structural
Place of soliciting
 Independent 51 (14.4%) 21 (15.6%) 0.89(0.50, 1.58) 0.698
 Indoor 100 (28.2%) 39 (28.9%) 0.94(0.60, 1.49) 0.799
 Outdoor/public 204 (57.5%) 75 (55.6%)
Displaced by police
 Yes 136 (38.3%) 36 (26.7%) 1.71 (1.10, 2.64) 0.016
 No 219 (61.7%) 99 (73.3%)
Displaced by security
 Yes 57 (16.1%) 14 (10.4%) 1.65 (0.89, 3.08) 0.110
 No 298 (83.9%) 121 (89.6%)
Rushed negotiation due to police
 Yes 138 (38.9%) 40 (29.6%) 1.51 (0.99, 2.31) 0.057
 No 217 (61.1%) 95 (70.4%)
Difficulty accessing condoms
 Yes 40 (11.3%) 7 (5.2%) 2.32 (1.01, 5.32) 0.041
 No 315 (88.7%) 128 (94.8%)
Client-related 3
Physical or sexual violence by clients
 Yes 148 (41.7%) 39 (28.9%) 1.76 (1.15, 2.70) 0.009
 No 207 (58.3%) 96 (71.1%)
Most clients are regular
 Yes 65 (18.3%) 34 (25.2%) 0.67 (0.42, 1.07) 0.090
 No 290 (81.7%) 101 (74.8%)
Most clients have another partner4
 Yes 150 (42.3%) 45 (33.3%) 1.46 (0.97, 2.22) 0.071
 No 205 (57.7%) 90 (66.7%)
Most clients have other SW partners
 Yes 170 (47.9%) 45 (33.3%) 1.84 (1.21, 2.78) 0.004
 No 185 (52.1%) 90 (66.7%)
Most clients are from the inner city/drug use epi-centre5
 Yes 11 (3.1%) 8 (5.9%) 0.51 (0.20, 1.29) 0.148
 No 344 (96.9%) 127 (94.1%)
Most clients use injection drugs
 Yes 54 (15.2%) 19 (14.1%) 1.10 (0.62, 1.93) 0.752
 No 301 (84.8%) 116 (85.9%)
Most clients use non-injection drugs
 Yes 2 (0.6%) 0 (0.0%) 0.92(0.07, infinity) 1.000
 No 353 (99.4%) 135 (100.0%)
1

e.g., child, family

2

e.g., including business owner/manager, pimp, or boyfriend

3

‘most’ was quantified as >75% of the time

4

e.g., wife, girlfriend

5

Downtown Eastside neighbourhood in Vancouver, Canada

Analysis

In bivariate analysis, categorical variables were compared using the Chi-square test and the Fisher's exact test, while continuous variables were compared using Wilcoxon rank-sum test. A two-part modeling approach was used. First, using multivariable logistic regression, we fitted an explanatory model for the relationship between the explanatory variables and the outcome `being offered more money for sex without a condom'. Then, for SWs who had been offered more money for sex without a condom, we fitted a multivariable logistic regression explanatory model for the relationship between the explanatory variables and the outcome `accepting more money for sex without a condom. Odds ratios (ORs), adjusted odds ratios (AOR) and 95% confidence intervals (95%CIs) were presented. As in previous research [21, 22], a backward stepwise technique was used in the selection of covariates for an explanatory model. This modeling approach is well-suited for understanding which factors/explanatory variables best explain a high probability of our outcomes, being offered more money for sex without a condom and accepting more money for sex without a condom. The final model was selected by minimizing Akaike Information Criterion (AIC) in a step-wise manner, with selection starting with a model including only a constant and adding predictor one at a time. At each step, the effect on AIC is checked by removing a previously added variable, with a lower value suggesting a better fit. Missing data were dropped prior to model selection. Unadjusted (bivariate) odds ratios (ORs), adjusted (multivariable) odds ratios (AOR), 95% confidence intervals (95%CIs) and p-values were reported. All statistical analyses were performed using SAS software version 9.2 [23].

RESULTS

Of 510 SWs who completed baseline, 490 SWs provided valid responses to the outcome `being offered more money for sex without a condom' and were included in the analyses. The sample had a median age of 35 years (interquartile range [IQR]: 28–42 years) and a median age at first sex work of 20 years (IQR: 15–30 years). Overall, 120 (24.5%) reported identifying as a sexual minority. The sample included 190 individuals (38.8%) of Indigenous/Aboriginal ancestry, 124 (25.3%) were visible minorities (of these, 97.5% East Asian, namely Chinese; 2.5% other visible minority) and 176 (35.9%) Caucasian/white. Of note, Aboriginal SWs were highly overrepresented in our sample relative to the general Canadian population of women and girls (3%)[24]. Overall, 266 (54.3%) reported soliciting for clients independently, 127 (25.9%) in indoor sex work places and 347 (70.8%) outdoor sex work places, highlighting the substantial overlap in terms of sex work solicitation environments. Of the 490 respondents, 356 (72.6%) reported being offered more money for sex without a condom by clients in the last six months, with 75/302 (19.2%) reporting accepting more money after client demand (54 missing, or 11.0%). Overall, 11.4% of SWs in the sample were HIV-positive and prevalence of STIs (including chlamydia, gonorrhea and active syphilis) was 10.4%.

Offered more money

Variables associated with being offered more money for sex without a condom in bivariate analysis (p<0.05) are detailed in Table 1.In multivariable analysis, significantly higher odds of being offered more money for sex without a condom were found for SWs who had, in the last six months: used speedballs (AOR: 6.93, 95%CIs: 1.60–29.94); higher average numbers of clients per week (AOR: 1.03, 95%CIs: 1.01–1.06, a 3% increase in the odds of the outcome for each one-client increase); difficulty accessing condoms (AOR: 2.72, 95%CIs: 1.09–6.77); and had clients who visited other SWs (AOR: 2.72, 95%CIs: 1.09–6.77).

Accepted more money

Variables associated with accepting more money for sex without a condom in bivariate analysis (p<0.05) are detailed in Table 2. In multivariable analysis, significantly higher odds of accepting more money for sex without a condom were found for SWs self-reporting as a sexual minority (AOR: 2.72, 95%CIs: 1.35–5.46), and who had, in the last six months: experienced client violence (AOR: 2.18, 95%CIs: 1.10–4.34); were displaced (i.e., moved to another place) by security (AOR: 2.01, 95%CIs: 0.95–4.26) and had higher intensity of crystal meth use (Daily, AOR: 2.58, 95%CIs: 0.39–17.17; Less than daily, AOR: 2.95, 95%CIs: 1.27–6.87; versus none). Significantly reduced odds of accepting more money for sex without a condom was found for older SWs (AOR: 0.96, 95%CIs: 0.93–1.00, a 4% decrease in the odds of the outcome for each one-year increase) and SWs who solicited for clients indoors (vs outdoor/public places)(AOR: 0.15, 95%CIs: 0.04–0.54).

Table 2.

Social, drug use, sex work, structural-environmental and client-related factors of sex workers (SWs) in Vancouver, Canada, according to whether or not they accepted more money for sex without a condom.

Accepted more money for sex without a condom n=75 Did not accept more money for sex without a condom n=227 OR [95% confidence intervals] p-value
(N (Proportion) or median (IQR)
Individual-social
Age (years) 31.00 (26.00, 40.00) 36.00 (29.00, 42.00) 0.95 (0.92, 0.98) 0.001
Age at first sex work (years) 17.00 (14.00, 22.00) 21.00 (16.00, 33.00) 0.93 (0.90, 0.97) <.0001
Sexual identity
 Sexual minority 28 (39.4%) 54 (19.1%) 2.75 (1.57, 4.82) 0.000
 Straight 43 (60.6%) 228 (80.9%)
Ethnicity
 Aboriginal 31 (43.7%) 101 (35.8%) 0.79(0.45,1.40) 0.418
 Visible minority 7 (9.9%) 96 (34.4%) 0.19(0.08,0.45) 0.000
 Caucasian/white 33(46.5%) 85(30.1%)
Supports someone financially1
 Yes 14 (19.7%) 90 (31.9%) 0.52 (0.28, 0.99) 0.044
 No 57 (80.3%) 192 (68.1%)
Drug use
Crack use intensity
 Daily 42 (59.2%) 92 (32.6%) 4.90(2.39, 10.03) 0.000
 Less than daily 18 (25.4%) 72 (25.5%) 2.68(1.20, 6.00) 0.016
 None 11 (15.5%) 118 (41.8%)
Crystal meth intensity
 Daily 3 (4.2%) 6 (2.1%) 2.71(0.65, 11.23) 0.168
 Less than daily 21 (29.6%) 21 (7.4%) 5.43(2.75, 10.71) 0.000
 None 47 (66.2%) 255 (90.4%)
Heroin intensity (injection)
 Daily 19 (26.8%) 43 (15.2%) 2.33(1.22, 4.43) 0.010
 Less than daily 15 (21.1%) 44 (15.6%) 1.80(0.91, 3.56) 0.093
 None 37 (52.1%) 195 (69.1%)
Cocaine (injection)
 Yes 15 (21.1%) 46 (16.3%) 1.37 (0.72, 2.64) 0.338
 No 56 (78.9%) 236 (83.7%)
Speedballs (injection)
 Yes 9 (12.7%) 24 (8.5%) 1.56 (0.69, 3.52) 0.281
 No 62 (87.3%) 258 (91.5%)
Sex work
Numbers of clients per week 15.00 (6.00, 28.00) 12.00 (6.00, 20.00) 1.018 (1.00, 1.03) 0.011
Exchange sex while high
 Yes 64 (90.1%) 160 (56.7%) 6.97 (3.09, 15.75) 0.000
 No 7 (9.9%) 122 (43.3%)
Sex work main income
 Yes 63 (88.7%) 233 (82.6%) 1.66 (0.75, 3.68) 0.211
 No 8 (11.3%) 49 (17.4%)
Has a manager/pimp2
 Yes 6 (8.5%) 11 (3.9%) 2.27 (0.81, 6.38) 0.109
 No 65 (91.5%) 271 (96.1%)
Environmental-structural
Place of soliciting
 Independent 9 (12.7%) 42 (14.9%) 0.54(0.25,1.19) 0.128
 Indoor 5 (7.0%) 95 (33.7%) 0.13(0.05,0.35) 0.000
 Outdoor/public 57 (80.3%) 145 (51.4%)
Displaced by police
 Yes 37 (52.1%) 97 (34.4%) 2.08 (1.23, 3.51) 0.006
 No 34 (47.9%) 185 (65.6%)
Displaced by security
 Yes 23 (32.4%) 34 (12.1%) 3.50 (1.89, 6.45) 0.000
 No 48 (67.6%) 248 (87.9%)
Rushed negotiation due to police
 Yes 35 (49.3%) 101 (35.8%) 1.74 (1.03, 2.95) 0.037
 No 36 (50.7%) 181 (64.2%)
Difficulty accessing condoms
 Yes 10 (14.1%) 29 (10.3%) 1.43 (0.66, 3.09) 0.361
 No 61 (85.9%) 253 (89.7%)
Client-related 3
Physical or sexual violence by clients
 Yes 48 (67.6%) 98 (34.8%) 3.92 (2.25, 6.82) 0.000
 No 23 (32.4%) 184 (65.2%)
Most clients are regular
 Yes 10 (14.1%) 55 (19.5%) 0.68 (0.33, 1.40) 0.292
 No 61 (85.9%) 227 (80.5%)
Most clients have another partner4
 Yes 23 (32.4%) 125 (44.3%) 0.60 (0.35, 1.04) 0.069
 No 48 (67.6%) 157 (55.7%)
Most clients have other SW partners
 Yes 28 (39.4%) 142 (50.4%) 0.64 (0.38, 1.09) 0.100
 No 43 (60.6%) 140 (49.6%)
Most clients are from the inner city/drug use epi-centre5
 Yes 4 (7.1%) 7 (3.1%) 2.43 (0.69, 8.61) 0.157
 No 52 (92.9%) 221 (96.9%)
Most clients use injection drugs
 Yes 18 (29.5%) 35 (13.9%) 2.58 (1.34, 4.98) 0.004
 No 43 (70.5%) 216 (86.1%)
Most clients use non-injection drugs
 Yes 2 (3.2%) 0 (0.0%) 9.43(0.73, infinity) 0.084
 No 60 (96.8%) 239 (100.0%)
1

e.g., child, family

2

e.g., including business owner/manager, pimp, or boyfriend

3

`most' was quantified as >75% of the time

4

e.g., wife, girlfriend

5

Downtown Eastside neighbourhood in Vancouver, Canada

DISCUSSION

Our study confirms the high demand by clients for unprotected sex among SWs in an urban Canadian setting. Overall, nearly three-quarters of hidden street- and off-street SWs reported being offered more money for sex without a condom by clients within the last six months, with one-fifth reporting accepting more money according to client demand. We identified a number of social, drug use, sex work, environmental-structural and client-related factors and being offered and accepting more money after clients' pressure for sex without a condom among a large sample of SWs in Vancouver, British Columbia.

More frequent drug use (e.g., use of speedballs, non-injection crystal methamphetamine) was strongly associated with being offered or accepting more money for sex without a condom. These findings are consistent with other studies, which have suggested that clients looking for unprotected sex may seek out SWs who are particularly vulnerable to coercion, including women who are experiencing acute withdrawal and the immediate need to use drugs [9, 13, 25]. Despite this relationship, as well as demonstrated quantitative linkages between sex work income earned and money spent on drugs [14], it may be surprising that some measures of drug use were not associated with accepting more money due to client demand. These results may reflect how SWs with increased drug use vulnerability sometimes provide sexual services in direct exchange for drugs instead of financial incentives [13], or may suggest that SWs agree to other higher-risk sex acts (e.g., anal sex) after client demand in exchange for increased earnings.

The relationship between experiencing physical or sexual violence by clients and accepting more money for sex without a condom supports research suggesting a link between violence and HIV risk among sex workers [26]. Violence against SWs in many settings is high, as evidenced by a recent systematic review on the factors shaping risk environments for violence among SWs globally (ranging from 50–75% lifetime to 32–55% in the last year), and has been linked to reduced condom use by clients [27]. During experiences of direct violence, including physical assault and rape, condom use is unlikely. Fear or threat of violence can result in SWs' heightened reluctance to insist on condom use, and to agree to use condoms in exchange for an increased fee to avoid client violence as a safety measure [13]. Inequitable gender-based power relations that favour male clients within environments of repeated and sustained `everyday' occupational violence (e.g., by clients, police, pimps/managers) and in the context of criminalization of indoor sex work spaces and public communication limit the agency of women and transgender women to negotiate condom use [13].

Our results suggest potential routes of increased HIV risk to SWs through difficulty accessing condoms and having clients with other SWs as sex partners. SWs who experience difficulty accessing condoms may also experience heightened police harassment, lessening their control over negotiations with clients [13, 28]. Finally, our results suggest that SWs working in indoor settings (e.g., massage/beauty parlours; managed indoor spaces/brothels are less likely to accept more money based on client demand relative to SWs who work in more dangerous, outdoor and street-based public settings(. Multiple studies have suggested working outdoors places women at greater risk for exposure to violent predators and clients and can result in difficulty accessing safer sex and harm reduction services, and to clients' demands [5, 6, 29]. Women who work in indoor settings can have more control over negotiations with clients regarding sexual transactions and can charge increased fees, potentially reducing the need to agree to clients' demands for unsafe sex [13, 30].

Our study also suggests key social factors that can help identify SWs who may be particularly vulnerable to HIV/STIs. Sexual minority SWs experience additional and unique forms of stigma and marginalization, including homophobia and transphobia [3133]. Stigma, gender discrimination, homophobia and transphobia, which shape the risk environment for HIV through social pathways, factor into power relations between sex workers and clients and may result in less negotiating power for sexual minority SWs. For example, many transgender SWs face high rates of physical and sexual violence [34, 35], which may compromise negotiation of condom use with clients. Further, marginalization and economic vulnerabilities have also been shown to be instrumental in sexual minority SWs' ability to negotiate HIV risk behaviours [36], including client condom use [34], suggesting increased economic pressure to accept more money for sex without a condom. Our results also suggest that, since the median age at initiation of sex work initiation in our sample was 20 years (IQR: 15–30 years) while the median age was 35 years (IQR: 28–42), older women with longer duration in sex work may be more experienced in negotiations with clients or more comfortable refusing demands for higher fees. Moreover, research also suggests that youth may be particularly at risk for economic pressures and differential power relations favouring older male partners, which may affect their vulnerability to client demand for unsafe sex [37, 38]. Importantly, these results also highlight the potential increased risk of younger SWs to acquiring HIV/STIs from clients. Finally, results suggest that having more clients may result in increased opportunities for encountering coercive clients with a preference for unprotected sex.

Our study has several limitations. Since sampling frames are difficult to construct for hidden populations, the sample was not randomly generated and may not be representative of all SWs in ours or other settings. To address this, we recruited participants through systematic time-location sampling and targeted outreach to sex work strolls and indoor locations [19], considered the best method of recruitment for mobile/hidden populations and therefore helping attract a representative sample. The study design is cross-sectional in nature and thus cannot determine causal relationships; however, although it is not possible to confirm the direction of associations, our study results are situated within a number of other studies suggesting relationships between social, drug use, sex work, environmental-structural and client-related factors and condom use. We had a large sample size for both street- and off-street SWs. As with all self-report data, responses may be subject to recall or social desirability bias, and the prevalence of being offered and/or accepting more money for sex without a condom may be higher than reported. However, we had extensively trained interviewers with experience with the sample population, and interviews were conducted in spaces where women were comfortable (i.e., indoor work places), facilitating accurate responses.

Our results point to several important structural and policy gaps in HIV programming and related recommendations to support SWs' agency and ability to refuse clients' demands for sex without a condom. While approximately three-quarters of SWs reported that clients demanded sex without a condom, it is positive that only one-fifth reported accepting clients' demands (though this may be under-reported). Our study therefore provides strong evidence of the importance of acknowledging the role of clients in the spread of HIV/STIs. Although there are limited studies on clients of SWs, [11, 39, 40] such studies are a crucial first step in understanding how to reduce demand for unprotected sex with SWs, include clients in HIV/STI programming for SWs and address client responsibility for safer sex practices. Gaining this understanding is particularly relevant in settings such as Vancouver, where the client population is highly hidden. Increasing calls are being made to develop HIV/STI programs specific to clients [41, 42], with some evidence of successful integration of hidden populations of clients demonstrated in international settings using smaller peer-based [43] and large-scale targeted [42, 44] approaches. In addition, structural policy changes that reduce economic disempowerment among SWs' are critical [45]. For example, practical interventions could include scaled-up access to sex worker-driven programs that increase SWs' financial security, including those that support SWs to engage with regulated and legal banking institutions as well as those that provide relevant education and training. SWs who wish to remain in sex work as well as those who wish to exit should be supported. Where relevant, harm reduction and drug treatment modalities, including opiate substitution therapies, should be made available for SWs who use drugs to increase economic empowerment. Safer-environment interventions that are designed for SWs and are tailored for specific sex work environments (i.e., mobile outreach [46]) can help meet the needs of SWs for an adequate no-cost condom supply.

Finally, alongside global calls [47, 48], our study adds to a growing evidence base suggesting the potential protective effects of working in indoor spaces and of changes to policies relating to the criminalization and regulation sex work, including punitive sanctions and enforcement-based policing approaches that target public solicitation and prevent the development of safer indoor sex work spaces, to enable condom use in commercial sex transactions. In Ontario, Canada, such sex work laws were recently overturned based on evidence that such laws negatively impact SWs' health and safety, including HIV risk prevention practices (similar court cases are ongoing in British Columbia, Canada)[49, 50]. Decriminalized environments support SWs to self-regulate industry practices through collectivization processes and re-conceptualization of sex work as work, including setting prices and limiting competition, that drive unprotected sex, as well as maintaining occupational health and safety standards [51]. Safer indoor sex work spaces tailored for local social and cultural contexts can enhance SWs' agency to decline pressure from clients to have unprotected sex through buffers of social support, self-regulation and organization. For example, non-exploitative managed brothels in designated areas where sex work is tolerated might be appropriate for SWs who prefer a distinction between work and home, while a focus on home-based sex work could work better for SWs who feel their safety could be compromised if there is an increased risk of disclosure by travelling to designated areas. Drawing on the experiences and knowledge of SWs is key in identifying the most effective HIV prevention approaches for SWs and addressing upstream factors that shape socio-economic HIV risk environments.

Table 3.

Multivariable associations between social, drug use, sex work, structural-environmental and client-related factors of sex workers (SWs) in Vancouver, Canada, and being offered and accepting more money for sex without a condom

Offered more money for sex without a condom Accepted more money for sex without a condom
AOR p-value AOR p-value
Social-demographic
Age (years) / 0.96 (0.93, 1.00) 0.048
Sexual identity
 Sexual minority / 2.72 (1.35, 5.46) 0.005
 Straight / 1.0 (ref)
Drug use
Crystal meth intensity
 Daily / 2.58 (0.39, 17.17) 0.326
 Less than daily / 2.95 (1.27, 6.87) 0.012
 None / 1.0 (ref)
Speedballs (injection)
 Yes 6.93 (1.60, 29.94) 0.010 /
 No 1.0 (ref) /
Sex work
Numbers of clients per week 1.03 (1.01, 1.06) 0.002 /
Environmental-structural
Place of soliciting
 Independent / 0.56 (0.22 1.41) 0.565
 Indoor / 0.15 (0.04, 0.54) 0.047
 Outdoor/public / 1.0 (ref)
Difficulty accessing condoms
 Yes 2.72 (1.09, 6.77) 0.031 /
 No 1.0 (ref) /
Client-related 1
Physical or sexual violence by clients
 Yes 1.42 (0.90, 2.25) 0.130 2.18 (1.10, 4.34) 0.025
 No 1.0 (ref) 1.0 (ref)
Most clients have other SW partners2
 Yes 1.83 (1.19, 2.84) 0.006 /
 No 1.0 (ref) /
1

`most' was quantified as >75% of the time

2

e.g., wife, girlfriend

ACKNOWLEDGEMENTS

KND made key contributions to the conceptual and analytic design of the study and drafted the manuscript. TL, BN, SS and JSGM made key conceptual contributions and reviewed the manuscript. CF performed statistical analysis and reviewed the manuscript. KS made key contributions to the conceptual and analytic design of the study and takes responsibility for the accuracy of the data. We thank all those who contributed their time and expertise to this project, including participants, partner agencies and the AESHA Community Advisory Board. We wish to acknowledge Peter Vann, Calvin Lai, Eric Fu, Ofer Amram, Jill Chettiar, Alex Scot and Kathleen Deering for their research and administrative support. This research was supported by operating grants from the US National Institutes of Health (R01DA028648) and Canadian Institutes of Health Research (HHP-98835). JSM is supported by an Avante Garde award from US NIH (DP1DA026182). KS is supported by US National Institutes of Health (R01DA028648) and the Canadian Institutes of Health Research.

MEETINGS WHERE FINDINGS WERE PRESENTED 21st Annual Canadian Conference on HIV Research (April 19–22, 2012, Montreal, Canada); XIX International AIDS Conference (July 22–27, 2012, Washington, DC)

SOURCES OF SUPPORT: This study acknowledges the funding support from the National Institutes of Health and the Canadian Institutes of Health Research.

Footnotes

CONFLICTS OF INTEREST: None to declare

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 citable 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.Pinkerton SD, Abramson PR. Effectiveness of condoms in preventing HIV transmission. Soc Sci Med. 1997;44 doi: 10.1016/s0277-9536(96)00258-4. [DOI] [PubMed] [Google Scholar]
  • 2.Zierler S, Krieger N. Reframing women's risk: social inequalities and HIV infection. Annu Rev Publ Health. 1997;18:401–436. doi: 10.1146/annurev.publhealth.18.1.401. [DOI] [PubMed] [Google Scholar]
  • 3.Rhodes T. The `risk environment': a framework for understanding and reducing drug-related harm. Intl J Drug Policy. 2002;13:85–94. [Google Scholar]
  • 4.Rhodes T, Simic M, Baros S, Platt L, Zikic B. BMJ. 2008. Police violence and sexual risk among female and transvestite sex workers in Serbia: qualitative study; p. a811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Shannon K, Kerr T, Strathdee SA, Shoveller J, M.W. T. Structural and environmental barriers to condom use negotiation with clients among female sex workers: Implications for HIV prevention strategies and policy. Am J Pub Health. 2009;99:659–665. doi: 10.2105/AJPH.2007.129858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Shannon K, Kerr T, Strathdee SA, Shoveller J, Montaner JS, Tyndall MW. BMJ. 2009. Prevalence and structural correlates of gender based violence among a prospective cohort of female sex workers. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Abel GM, Fitzgerald LJ. “The street's got its advantages”: Movement between sectors of the sex industry in a decriminalised environment. Health Risk Soc. 2012;14:7–23. [Google Scholar]
  • 8.Rhodes T, Wagner K, Strathdee SA, Shannon K, Davidson P, Bourgois P, O'Campo P, Dunn JR. Rethinking Social Epidemiology. Springer; Netherlands: 2012. Structural Violence and Structural Vulnerability Within the Risk Environment: Theoretical and Methodological Perspectives for a Social Epidemiology of HIV Risk Among Injection Drug Users and Sex Workers; pp. 205–230. [Google Scholar]
  • 9.Johnston CL, Callon C, Li K, Wood E, Kerr T. Offer of financial incentives for unprotected sex in the context of sex work. Drug Alcohol Rev. 2010;29:144–149. doi: 10.1111/j.1465-3362.2009.00091.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Choi SYP, Holroyd E. The influence of power, poverty and agency in the negotiation of condom use for female sex workers in mainland China. Cult Health Sex. 2007;9:489–503. doi: 10.1080/13691050701220446. [DOI] [PubMed] [Google Scholar]
  • 11.Patterson TL, Volkmann T, Gallardo M, Goldenberg S, Lozada R, Semple SJ, et al. Identifying the HIV Transmission Bridge: Which Men Are Having Unsafe Sex With Female Sex Workers and With Their Own Wives or Steady Partners? JAIDS. 2012;60:414–420. doi: 10.1097/QAI.0b013e31825693f2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wojcicki JM, Malala J. Condom use, power and HIV/AIDS risk: sex-workers bargain for survival in Hillbrow/Joubert Park/Berea, Johannesburg. Soc Sci Med. 2001;53:99–121. doi: 10.1016/s0277-9536(00)00315-4. [DOI] [PubMed] [Google Scholar]
  • 13.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;66:911–921. doi: 10.1016/j.socscimed.2007.11.008. [DOI] [PubMed] [Google Scholar]
  • 14.Deering KN, Shoveller J, Tyndall MW, Montaner JS, Shannon K. The street cost of drugs and drug use patterns: relationships with sex work income in an urban Canadian setting. Drug Alcohol Depen. 2011;118:430–436. doi: 10.1016/j.drugalcdep.2011.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Edlund L, Korn E. A Theory of Prostitution. J Politic Econ. 2002;110:181–214. [Google Scholar]
  • 16.Cameron S, Collins A. Estimates of a model of male participation in the market for female heterosexual prostitution services. European Journal of Law and Economics. 2003;16:277–288. [Google Scholar]
  • 17.Della Guista M, Di Tommaso ML, Strøm S. Who's watching? The market for prostitution services. University of Oslo Department of Economics. 2005;27 [Google Scholar]
  • 18.Della Giusta M. Simulating the impact of regulation changes on the market for prostitution services. European Journal of Law and Economics. 2010;29:1–14. [Google Scholar]
  • 19.Stueve A, O'Donnell LN, Duran R, San Doval A, Blome J. Time-Space Sampling in Minority Communities: Results With Young Latino Men Who Have Sex With Men. Am J Pub Health. 2001;91:922–926. doi: 10.2105/ajph.91.6.922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Shannon K, Bright V, Allinott S, Alexson D, Gibson K, Tyndall MW. Harm Reduct J. 2007. Community-based HIV prevention among substance-using women in survival sex work: the Maka Project Partnership. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lima VD, Gill VS, Yip B, Hogg RS, Montaner JSG, Harrigan PR. Increased Resilience to the Development of Drug Resistance with Modern Boosted Protease Inhibitor-Based Highly Active Antiretroviral Therapy. J Infect Dis. 2008;198:51–58. doi: 10.1086/588675. [DOI] [PubMed] [Google Scholar]
  • 22.Lima VD, Bangsberg DR, Harrigan PR, Deeks SG, Yip B, Hogg RS, et al. Risk of Viral Failure Declines With Duration of Suppression on Highly Active Antiretroviral Therapy Irrespective of Adherence Level. JAIDS. 2010;55:460–465. doi: 10.1097/QAI.0b013e3181f2ac87. 410.1097/QAI.1090b1013e3181f1092ac1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.SAS Version 9.2. SAS Institute Inc.; Cary, USA: 2010. [Google Scholar]
  • 24.Aboriginal identity population by age groups, median age, and sex, for 2006, for Canada provinces and territories. Statistics Canada; Ottawa, Canada: 2007. [Google Scholar]
  • 25.Sanders T. Sex work: a risky business. Willan Publishing; Portland, USA: 2005. [Google Scholar]
  • 26.Shannon K, Nesbitt A, Deering KN, Amni A, Garcia-Moreno C. Violence and links to HIV infection among sex workers: a systematic review. World Health Organization; Geneva, Switzerland: 2012. [Google Scholar]
  • 27.Deering K, Nesbitt A, Shannon K. CIHR Institute for Gender and Health: Innovations in Gender, Sex, and Health. Toronto, Canada: 2010. A global review of gender-based violence against sex workers: A neglected public health and human rights issue. [Google Scholar]
  • 28.Shannon K, Rusch M, Shoveller J, Alexson D, Gibson K, Tyndall MW. Mapping violence and policing as an environmental-structural barrier to health service and syringe availability among substance-using women in street-level sex work. Int J Drug Policy. 2008;19:140–147. doi: 10.1016/j.drugpo.2007.11.024. [DOI] [PubMed] [Google Scholar]
  • 29.Platt L, Grenfell P, Bonell C, Creighton S, Wellings K, Parry J, et al. Risk of sexually transmitted infections and violence among indoor-working female sex workers in London: the effect of migration from Eastern Europe. Sex Transm Infect. 2011;87:377–384. doi: 10.1136/sti.2011.049544. [DOI] [PubMed] [Google Scholar]
  • 30.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 Pub Health. 2012;102:1154–1159. doi: 10.2105/AJPH.2011.300638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Fileborn B. ACSSA Resource Sheet. Austrialian Centre for the Study of Sexual Assault; Melbourne: 2012. Sexual violence and gay, lesbian, bisexual, trans, intersex, and queer communities; pp. 1–11. [Google Scholar]
  • 32.Logie CH, James LL, Tharao W, Loutfy MR. HIV, Gender, Race, Sexual Orientation, and Sex Work: A Qualitative Study of Intersectional Stigma Experienced by HIV-Positive Women in Ontario, Canada. PLoS Med. 2011;8:e1001124. doi: 10.1371/journal.pmed.1001124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Melendez RM, Pinto R. `It's really a hard life': Love, gender and HIV risk among male-to-female transgender persons. Cult Health Sex. 2007;9:233–245. doi: 10.1080/13691050601065909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Hwahng SJ, Nuttbrock L. Sex workers, fem queens, and cross-dressers: Differential marginalizations and HIV vulnerabilities among three ethnocultural male-to-female transgender communities in New York City. Sexuality Research and Social Policy. 2007;4:36–59. doi: 10.1525/srsp.2007.4.4.36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Prado Cortez FC, Boer DP, Baltieri DA. A Psychosocial Study of Male-to-Female Transgendered and Male Hustler Sex Workers in Sau Paulo, Brazil. Arch Sex Behav. 2011:1–9. doi: 10.1007/s10508-011-9776-7. [DOI] [PubMed] [Google Scholar]
  • 36.Nemoto T, Operario D, Keatley J, Villegas D. Social context of HIV risk behaviours among male-to-female transgenders of colour. AIDS Care. 2004;16:724–735. doi: 10.1080/09540120413331269567. [DOI] [PubMed] [Google Scholar]
  • 37.Wood K, Maforah F, Jewkes R. “He forced me to love him”: putting violence on adolescent sexual health agendas. Soc Sci Med. 1998;47:233–242. doi: 10.1016/s0277-9536(98)00057-4. [DOI] [PubMed] [Google Scholar]
  • 38.Marshall BDL, Kerr T, Shoveller JA, Patterson TL, Buxton JA, Wood E. Homelessness and unstable housing associated with an increased risk of HIV and STI transmission among street-involved youth. Health Place. 2009;15:783–790. doi: 10.1016/j.healthplace.2008.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Goldenberg SM, Strathdee SA, Gallardo M, Nguyen L, Lozada R, Semple SJ, et al. How important are venue-based HIV risks among male clients of female sex workers? A mixed methods analysis of the risk environment in nightlife venues in Tijuana, Mexico. Health Place. 2011;17:748–756. doi: 10.1016/j.healthplace.2011.01.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Lowndes CM, Alary M, Gnintoungbe CAB, Bedard E, Mukenge L, Geraldo N, et al. Management of sexually transmitted diseases and HIV prevention in men at high risk: targeting clients and non-paying sexual partners of female sex workers in Benin. AIDS. 2000;14:2523–2534. doi: 10.1097/00002030-200011100-00015. [DOI] [PubMed] [Google Scholar]
  • 41.Shannon K, Montaner JSG. The politics and policies of HIV prevention in sex work. Lancet Infect Dis. 2012 doi: 10.1016/S1473-3099(12)70065-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Lowndes CM, Alary M, Labba A-C, Gnintoungba C, Belleau M, Mukenge L, et al. Interventions among male clients of female sex workers in Benin, West Africa: an essential component of targeted HIV preventive interventions. SEx Transm Infect. 2007;83:577–581. doi: 10.1136/sti.2007.027441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Leonard L, Ndiaye I, Kapadia A, Eisen G, Diop O, Mboup S, et al. HIV prevention among male clients of female sex workers in Kaolack, Senegal: Results of a peer education program. AIDS Educ Prev. 2000;12:21–37. [PubMed] [Google Scholar]
  • 44.Avahan, the India AIDS Initiative - the Business of HIV prevention at Scale. The Bill & Melinda Gates Foundation; New Delhi, India: 2008. [Google Scholar]
  • 45.Guidance note on HIV and Sex Work. Joint United Nations Programme on HIV/AIDS; Geneva, Switzerland: 2009. [Google Scholar]
  • 46.Janssen PA, Gibson K, Bowen R, Spittal PM, Petersen KL. Peer support using a mobile access van promotes safety and harm reduction strategies among sex trade workers in Vancouver's downtown eastside. J Urban Health. 2009;86:804–809. doi: 10.1007/s11524-009-9376-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ahmed A, Kaplan M, Symington A, Kismodi E. Criminalising consensual sexual behaviour in the context of HIV: Consequences, evidence, and leadership. Global Public Health. 2011;6:S357–S369. doi: 10.1080/17441692.2011.623136. [DOI] [PubMed] [Google Scholar]
  • 48.Shannon K, Csete J. Violence, Condom Negotiation, and HIV/STI Risk Among Sex Workers. JAMA. 2010;304:573–574. doi: 10.1001/jama.2010.1090. [DOI] [PubMed] [Google Scholar]
  • 49.Himel S. Bedford v. Canada. In: Court OS, editor. ONSC 4264. Vancouver, Canada: 2010. [Google Scholar]
  • 50.Mulgrew I. Vancouver Sun. Postmedia Network Inc.; Vancouver, Canada: 2012. Vancouver sex workers challenge to prostitution laws to go ahead. [Google Scholar]
  • 51.Shahmanesh M, Patel V, Mabey D, Cowan F. Effectiveness of interventions for the prevention of HIV and other sexually transmitted infections in female sex workers in resource poor setting: a systematic review. Trop Med Intl Health. 2008;13:659–679. doi: 10.1111/j.1365-3156.2008.02040.x. [DOI] [PubMed] [Google Scholar]

RESOURCES