Abstract
The aim of the study was to compare reproductive health and high-risk behaviors in female sex workers (FSWs) and single mothers (SMs) in Zambia's two largest cities, Lusaka and Ndola. FSWs were invited from known community hot spots, and sexually active HIV− SMs were referred from infant vaccination services for free and anonymous screening and treatment for HIV and other sexually transmitted infections (STIs) and long acting reversible contraception. A subset completed an interviewer-administered survey. From 2012 to 2016, 1,893 women (1,377 FSWs and 516 HIV− SMs) responded to referrals. HIV prevalence was 50% in Lusaka and 33% in Ndola FSWs. Positive syphilis serology (rapid plasmin reagin) was found in 29%–31% of HIV+ FSWs and 9%–12% of HIV− FSWs and SMs. Trichomonas was more common in Ndola (11%–12%), compared with Lusaka (3%–7%). Antiretroviral therapy (ART) use among HIV+ FSWs was 9%–15%. In all groups, consistent condom use (8%–11%) and modern contraceptive use (35%–65%) were low. Low literacy and reported coercion at first sexual intercourse were common in both FSWs and SMs, as was alcohol use during sex among FSWs. Zambian FSWs and SMs have low condom use and high HIV/STI and unplanned pregnancy risk. Many FSWs and half of SMs are ≥25 years of age, and thus too old for HIV prevention services targeting “adolescent girls and young women” (aged 15–24). Tailored and targeted reproductive health services are needed to reduce HIV, STI, and unplanned pregnancy in these vulnerable women.
Keywords: HIV, contraception, sex work, genital infection, Africa
Introduction
Zambia in southern Africa has a population of 16.6 million and a high burden of HIV: in 2016, 1.2 million Zambians were living with HIV, and there were 59,000 new HIV infections and 21,000 AIDS-related deaths.1
As elsewhere in Africa, sex work in Zambia is a high-risk activity for exposure to HIV, sexually transmitted infections (STIs), and unplanned pregnancy.2–5 In 2015, an integrated Bio-Behavioral Survey was conducted with 1,050 female sex workers (FSWs) in five Zambian districts, including five border cities along truck routes. As expected, HIV prevalence was high (56.4%), and syphilis (21%) and trichomonas (9%) were also common. Condom use was inconsistent, particularly with nonpaying partners,6 and poverty was the norm.7
The 2017 PEPFAR Country operating plan estimated >24,000 FSWs in Zambia.8 A 2001 survey estimated that 2,233 women were conducting sex work in Ndola, Zambia's second largest city, with an HIV prevalence of 69%, syphilis prevalence of 42%, and only 28% reporting use of a condom during their last intercourse with a client.9 The literature also includes qualitative investigations,10,11 a description of family-based services for FSWs and their children in Lusaka,12 a survey of contraceptive use in FSWs in border towns,2 and studies of HIV self-testing13 and electronic fingerprinting14 in Zambian FSW. A 2009 model estimated that 1% of Zambian women are FSWs, 90% would become HIV infected after 21 years of sex work, and 36.4% of infections in Zambian men were acquired from an FSW.15 A 2008 survey reported that 13% of Zambian men had sex with an FSW in the last year.16
Risk factors for sex work are generally related to poverty resulting from lack of education and employment opportunities. Single mothers (SMs) are likely to be at high risk of initiating sex work, particularly those with an unplanned pregnancy or those who have been widowed or abandoned.17–19 SMs are an under-researched population in Africa, and little is known about their HIV, STI, and risk behaviors.
We present the results of a free reproductive health program for FSWs and HIV− SMs in Lusaka and Ndola, Zambia's two largest cities. Prevalence and correlates of HIV, STI, as well as contraceptive and condom use are compared in HIV+ and HIV− FSWs and HIV− SMs, and between Lusaka and Ndola to identify gaps in reproductive health services and inform development of tailored and targeted HIV prevention and treatment efforts.
Materials and Methods
Recruitment
From 2012 to 2016, the Zambia Emory HIV Research Project (ZEHRP) offered free reproductive health services to high-risk single women aged 18–45 in Lusaka and Ndola. The goal of the study sponsors was to identify uninfected women at high risk of HIV for possible inclusion in prevention trials. Two recruitment strategies were used. In the first, SMs who had previously tested HIV negative during antenatal care and were not currently pregnant were referred from infant vaccination services in government clinics. With the second strategy, FSWs were invited from known hot spots, including bars, street corners, and lodges by ZEHRP community workers. To protect confidentiality, recruiters distributed invitations to all interested FSWs without asking their HIV status. Exclusion criteria included age <18 or >45. The printed invitation included the address and operating hours of the ZEHRP clinic, and a description of services (free HIV testing, STI screening, long acting reversible contraception (LARC: copper intrauterine devices [IUDs] and implants), and transportation to and from the clinic).
Integrated Reproductive Health Program
Women were screened for HIV using Alere Determine™ HIV-1/2, with positive and indeterminate results confirmed using Trinity Biotech Uni-Gold™ Recombigen® HIV-1/2.20 BD Macro-Vue™ rapid plasmin reagin (RPR) (Immunotrep) was used for syphilis serologic screening.21 A wet mount was prepared from a self-administered vaginal swab for microscopic diagnosis of trichomonas infection and detection of sperm as a biological marker of recent unprotected sex. Women received family planning counseling with the offer of LARC, which were not readily available in government clinics. Free condoms were also provided. As there could be overlap between FSWs and SMs despite the different recruitment methods, SMs referred from infant vaccination clinics were asked if they exchanged sex for money and classified as FSWs in these analyses if they responded affirmatively.
Demographic and behavioral survey
Women receiving services were assigned a unique numeric participant number, and identifiers were not recorded. A subset of participants provided written informed consent for an interviewer-administered questionnaire assessing demographic and behavioral risk factors for HIV and STI. Questions included age, marital status, sexual and reproductive history, condom and contraceptive use, fertility goals, and alcohol use. We assessed literacy in local languages (Nyanja and Bemba) and English. Nyanja and Bemba are Zambia's two most commonly spoken languages. Lusaka is the centrally located capital and home to migrants from all parts of the country. Nyanja is the accepted language of communication though it is not the first language for most. Ndola is in the northern Copperbelt region where Bemba is universally spoken as a first language. In general, English is not taught until secondary school. Initial questionnaires included demographic information, and were administered to HIV+ and HIV− FSWs and HIV− SMs: these findings are presented in Table 2. Subsequently, more detailed questionnaires including sexual risk behaviors and contraceptive use were administered only to HIV− FSWs and SMs: these findings are presented in Table 3 and Figure 1.
Table 2.
Literacy and Duration of Residence in the City in HIV− Female Sex Workers and Single Mothers in Lusaka and Ndola, Zambia (n = 1,165)
Lusaka | Ndola | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FSW | p-valueaHIV+ vs. HIV− | SM | p-valueaHIV− FSW vs. SM | p-valueaacross groups | FSW | p-valueaHIV+ vs. HIV− | SM | p-valueaHIV− FSW vs. SM | p-valueaacross groups | |||||||||
HIV+ (n = 55) | HIV− (n = 202) | HIV− (n = 170) | HIV+ (n = 39) | HIV− (n = 353) | HIV− (n = 346) | |||||||||||||
n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | |||||||
Years living in Lusaka/Ndola | 22.7 | 12.2 | 18.2 | 9.7 | .0147 | 16.9 | 8.7 | .1761 | .0007 | 23.8 | 11.6 | 16.8 | 9.0 | .0007 | 17.6 | 8.5 | .2401 | <.0001 |
Literacy | ||||||||||||||||||
Understands Nyanja | ||||||||||||||||||
Easily | 51 | 94% | 187 | 93% | .7719 | 165 | 97% | .0561 | .1622 | 18 | 46% | 99 | 28% | .0197 | 52 | 15% | <.0001 | <.0001 |
With difficulty/not at all | 3 | 6% | 15 | 7% | 5 | 3% | 21 | 54% | 253 | 72% | 294 | 85% | ||||||
Reads Nyanja | ||||||||||||||||||
Easily | 7 | 13% | 57 | 28% | .0185 | 55 | 32% | .3864 | .0184 | 7 | 18% | 20 | 6% | .0113 | 0 | 0% | <.0001 | <.0001 |
With difficulty/not at all | 48 | 87% | 145 | 72% | 115 | 68% | 32 | 82% | 332 | 94% | 346 | 100% | ||||||
Understands Bemba | ||||||||||||||||||
Easily | 39 | 71% | 140 | 69% | .8188 | 130 | 76% | .1229 | .2958 | 39 | 100% | 343 | 97% | .6078 | 336 | 97% | .7867 | .5580 |
With difficulty/not at all | 16 | 29% | 62 | 31% | 40 | 24% | 0 | 0% | 9 | 3% | 10 | 3% | ||||||
Reads Bemba | ||||||||||||||||||
Easily | 9 | 16% | 41 | 20% | .5136 | 23 | 14% | .0849 | .2224 | 17 | 44% | 126 | 36% | .3376 | 202 | 58% | <.0001 | <.0001 |
With difficulty/not at all | 46 | 84% | 161 | 80% | 147 | 86% | 22 | 56% | 226 | 64% | 144 | 42% | ||||||
Understands English | ||||||||||||||||||
Easily | 19 | 35% | 108 | 53% | .0128 | 109 | 64% | .0379 | .0005 | 12 | 31% | 99 | 28% | .7364 | 43 | 12% | <.0001 | <.0001 |
With difficulty/not at all | 36 | 65% | 94 | 47% | 61 | 36% | 27 | 69% | 252 | 72% | 303 | 88% | ||||||
Reads English | ||||||||||||||||||
Easily | 16 | 29% | 103 | 51% | .0039 | 95 | 56% | .3462 | .0024 | 9 | 23% | 69 | 20% | .6126 | 18 | 5% | <.0001 | <.0001 |
With difficulty/not at all | 39 | 71% | 99 | 49% | 75 | 44% | 30 | 77% | 282 | 80% | 328 | 95% |
Two-tailed t-test and one-way ANOVA for continuous variables, chi-square test for categorical variables with cell counts ≥5, Fisher's exact test for categorical variables with 20% of expected cell counts <5.
Table 3.
Sexual and Reproductive History and Alcohol Use in HIV− Female Sex Workers and Single Mothers in Lusaka and Ndola, Zambia (n = 924)
Lusaka | Ndola | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
HIV− FSW (n = 150) | HIV− SM (n = 170) | pa | HIV− FSW (n = 276) | HIV− SM (n = 346) | pa | |||||
n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | |||
Lifetime sexual history | ||||||||||
Age at first sexual encounter | 16.9 | 2.9 | 17.9 | 2.3 | .0007 | 15.2 | 2.4 | 16.3 | 2.0 | <.0001 |
Used a condom during first sexual intercourse | ||||||||||
Yes | 55 | 37% | 63 | 37% | .9785 | 53 | 19% | 73 | 21% | .5619 |
No | 94 | 63% | 107 | 63% | 222 | 81% | 272 | 79% | ||
Pressure or force at first sexual intercourse | ||||||||||
Willingly | 103 | 69% | 114 | 67% | .7506 | 195 | 71% | 266 | 77% | .0002 |
Pressured verbally | 25 | 17% | 34 | 20% | 32 | 12% | 54 | 16% | ||
Forced physically | 21 | 14% | 22 | 13% | 49 | 18% | 25 | 7% | ||
Received money/goods/favors at first sexual intercourse | ||||||||||
Yes | 86 | 58% | 40 | 24% | <.0001 | 221 | 81% | 106 | 31% | <.0001 |
No | 63 | 42% | 129 | 76% | 53 | 19% | 237 | 69% | ||
Reproductive history and fertility goals | ||||||||||
No. of live births | 1.6 | 1.5 | 1.7 | 1.3 | .4621 | 1.7 | 1.4 | 1.8 | 1.3 | .2237 |
No. of living children | 1.5 | 1.4 | 1.7 | 1.2 | .3137 | 1.6 | 1.4 | 1.8 | 1.2 | .1867 |
Plans for more children | ||||||||||
Yes, next 3 years | 21 | 16% | 3 | 2% | <.0001 | 113 | 50% | 62 | 18% | <.0001 |
Yes, >3 years | 17 | 13% | 21 | 13% | 70 | 31% | 172 | 50% | ||
No | 95 | 71% | 144 | 86% | 42 | 19% | 110 | 32% | ||
Alcohol and drug use history | ||||||||||
Ever uses alcohol | ||||||||||
Yes | 109 | 74% | 22 | 13% | <.0001 | 229 | 83% | 78 | 23% | <.0001 |
No | 39 | 26% | 144 | 87% | 46 | 17% | 262 | 77% | ||
Alcohol use frequency | ||||||||||
Daily | 39 | 37% | 2 | 10% | <.0001 | 130 | 57% | 26 | 33% | <.0001 |
Weekly | 54 | 51% | 5 | 24% | 84 | 37% | 29 | 37% | ||
1–3 times a month | 11 | 10% | 6 | 29% | 11 | 5% | 14 | 18% | ||
<1–3 times a month | 2 | 2% | 8 | 38% | 4 | 2% | 9 | 12% | ||
Sex during alcohol use frequency | ||||||||||
Always | 11 | 10% | 1 | 5% | <.0001 | 79 | 34% | 15 | 19% | <.0001 |
Most of the time | 18 | 17% | 1 | 5% | 55 | 24% | 9 | 12% | ||
Sometimes | 43 | 41% | 4 | 19% | 59 | 26% | 21 | 27% | ||
Rarely | 27 | 25% | 3 | 14% | 33 | 14% | 9 | 12% | ||
Never | 7 | 7% | 12 | 57% | 3 | 1% | 24 | 31% | ||
Highest formal school education completed | ||||||||||
None of the above | 14 | 9% | 3 | 2% | .0092 | 21 | 8% | 41 | 12% | .0118 |
Primary | 48 | 32% | 53 | 31% | 156 | 57% | 218 | 63% | ||
Secondary | 84 | 56% | 112 | 66% | 98 | 36% | 86 | 25% | ||
College | 4 | 3% | 2 | 1% | 1 | 0% | 1 | 0% |
Two-tailed t-test for continuous variables, chi-square test for categorical variables with cell counts ≥5, Fisher's exact test for categorical variables with 20% of expected cell counts <5.
FIG. 1.
Reported condom use in the last month among FSWs in Lusaka and Ndola by partner type. FSW, female sex workers.
Treatment
HIV+ women were counseled and referred to their nearest government clinic for antiretroviral therapy (ART) evaluation. RPR-positive women were treated at ZEHRP with injectable penicillin or with erythromycin in the case of allergy. Women with trichomonas on vaginal wet mount were provided with a 2-g oral dose of metronidazole (directly observed therapy). Women reporting vaginal discharge were treated for candida or bacterial vaginosis based on examination of vaginal wet mounts.
Data analysis
Data were entered in Microsoft Access and analyzed using Statistical Analysis Software (SAS) version 9.4. Frequencies of laboratory and survey results were compared in three mutually exclusive groups (HIV+ and HIV− FSW and HIV− SM) and between the two cities (Lusaka and Ndola) using chi-square tests of significance for categorical variables and t-tests and ANOVA for differences in means. Categorical variables that were used in interaction terms with city were identified in crude analyses based on (1) differences in significance (p < .05) of association with the outcome in Lusaka versus Ndola or (2) differences in the direction of the magnitude of association in Lusaka versus Ndola. Bivariate and multivariate logistic regression models were run after assessing collinearity. Multivariate logistic regression models assessed predictors of HIV+ status among FSWs and predictors of being an FSW versus SM among HIV− women. Variables and interaction terms by city significantly associated with outcomes in bivariate models at an alpha of 0.05 were included simultaneously in multivariate logistic regression models. Final multivariate logistic regressions were arrived at by dropping nonsignificant variables and interaction terms through backward elimination. Individual variables comprising the interaction terms were also included in the models to ensure that models were hierarchically well formulated. Contrast statements were used to estimate associations between predictor and outcome by city.
Ethics
Approval was obtained from Office of Human Research Protection-registered Institutional Review Boards in Zambia (i.e., University of Zambia Biomedical Research Committee) and at Emory University. All procedures, including counseling, informed consent, and surveys, were administered in English, Nyanja, or Bemba, the predominant local languages in Lusaka and Ndola.
Results
In Lusaka, 731 FSWs received services, of whom 365 (50%) were HIV+. FSWs in Ndola had a lower HIV prevalence, with 211 (33%) HIV+ FSWs among 646 who received services (p < .0001). All SMs referred from government clinics were HIV−, with 170 receiving services in Lusaka and 346 in Ndola. A subset of 1,165 women completed the demographic and behavioral survey, including 55 HIV+ FSWs, 202 HIV− FSWs, and 170 SMs in Lusaka; and 39 HIV+ FSWs, 353 HIV− FSWs, and 346 SMs in Ndola.
HIV and STI prevalence
Across cities, HIV+ FSWs were older than HIV− FSWs, and HIV− FSWs were older than SMs. HIV+ FSWs were more likely to report being divorced, widowed, or separated than HIV− FSW. Marital status profiles for SMs and HIV− FSWs in Lusaka were not different, while in Ndola SMs were more likely to be divorced or separated compared with HIV− FSWs. HIV− FSWs were slightly more likely to be pregnant than HIV+ FSWs in both cities but the differences were not significant, while none of the SMs were pregnant per referral criteria from postnatal infant vaccination clinics (Table 1).
Table 1.
Demographic, HIV and Sexually Transmitted Infections and Contraceptive Use Among Female Sex Workers and Single Mothers Seeking Reproductive Health Services at the Project Clinic in Lusaka and Ndola, Zambia (n = 1,893)
Lusaka | Ndola | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FSW | p-valueaHIV+ vs. HIV− | SM | p-valueaHIV− FSW vs. SM | p-valueaacross groups | FSW | p-valueaHIV+ vs. HIV− | SM | p-valueaHIV− FSW vs. SM | p-valueaacross groups | |||||||||
HIV+ (n = 365) | HIV− (n = 366) | HIV− (n = 170) | HIV+ (n = 211) | HIV− (n = 435) | HIV− (n = 346) | |||||||||||||
n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | n or mean | % or SD | |||||||
Age | 31.5 | 6.4 | 26.0 | 6.6 | <.0001 | 23.9 | 5.2 | <.0001 | <.0001 | 30.5 | 6.5 | 24.3 | 6.4 | <.0001 | 23.1 | 4.8 | .0015 | <.0001 |
Marital status | ||||||||||||||||||
Single | 141 | 57% | 199 | 69% | <.0001 | 118 | 69% | .2937 | <.0001 | 95 | 66% | 353 | 84% | <.0001 | 233 | 67% | <.0001 | <.0001 |
Divorced/separated | 82 | 33% | 87 | 30% | 47 | 28% | 30 | 21% | 58 | 14% | 102 | 29% | ||||||
Widowed | 24 | 10% | 3 | 1% | 5 | 3% | 20 | 14% | 8 | 2% | 11 | 3% | ||||||
RPR for syphilis | ||||||||||||||||||
Positive | 106 | 29% | 44 | 12% | <.0001 | 17 | 10% | .4355 | <.0001 | 66 | 31% | 37 | 9% | <.0001 | 35 | 10% | .5376 | <.0001 |
Negative | 257 | 71% | 313 | 88% | 153 | 90% | 145 | 69% | 383 | 91% | 311 | 90% | ||||||
Trichomonas on wet prep | ||||||||||||||||||
Positive | 26 | 7% | 11 | 3% | .0103 | 6 | 4% | .7641 | .0207 | 26 | 12% | 49 | 12% | .8103 | 39 | 11% | .8645 | .9322 |
Negative | 332 | 93% | 351 | 97% | 164 | 96% | 185 | 88% | 371 | 88% | 307 | 89% | ||||||
Sperm on wet prep | ||||||||||||||||||
Positive | 6 | 2% | 8 | 2% | .6114 | 1 | 1% | .2836 | .3969 | 2 | 1% | 10 | 2% | .2137 | 14 | 4% | .1880 | .0788 |
Negative | 348 | 98% | 352 | 98% | 169 | 99% | 209 | 99% | 410 | 98% | 332 | 96% | ||||||
Self-reported pregnancy | ||||||||||||||||||
Yes | 7 | 2% | 13 | 4% | .1499 | 6 | 4% | 17 | 6% | .3455 | ||||||||
No | 300 | 98% | 284 | 96% | 154 | 96% | 277 | 94% | ||||||||||
Current contraceptive method (excluding those self-reporting pregnancy) | ||||||||||||||||||
Any modern nonbarrier method | 124 | 35% | 145 | 41% | .0760 | 39 | 19% | <.0001 | .0003 | 99 | 53% | 260 | 65% | .0066 | 220 | 65% | .7962 | .0166 |
None/other/condoms only | 232 | 65% | 206 | 59% | 129 | 81% | 88 | 47% | 142 | 35% | 126 | 35% | ||||||
Previous HIV test | ||||||||||||||||||
Yes | 215 | 60% | 280 | 78% | <.0001 | 131 | 64% | 326 | 79% | .0001 | ||||||||
No | 142 | 40% | 78 | 22% | 73 | 36% | 89 | 21% | ||||||||||
Among HIV+ reporting previous testing, ART use | ||||||||||||||||||
Yes | 27 | 15% | 10 | 9% | ||||||||||||||
No | 156 | 85% | 98 | 91% |
Two-tailed t-test and one-way ANOVA for continuous variables, chi-square test for categorical variables with cell counts ≥5, Fisher's exact test for categorical variables with 20% of expected cell counts <5.
ART, antiretroviral therapy; FSW, female sex workers; RPR, rapid plasmin reagin; SD, standard deviation; SM, single mother.
The prevalence of positive RPR was substantially higher in HIV+ FSWs compared with HIV− FSWs and SMs in both cities, and trichomonas was more common in HIV+ FSWs compared with HIV− women in Lusaka. Interestingly, the prevalence of trichomonas on vaginal wet mount was higher in Ndola compared with Lusaka (p < .0001) and was not different in all three Ndola groups. Differences in detection of sperm noted on wet mount, an indicator of unprotected sex in the previous 3 days, were not significant.
Contraceptive use
Women in Ndola were more likely than women in Lusaka to report using a modern contraceptive (p < .0001), with HIV− FSWs and SMs reporting the highest usage. SMs in Lusaka were least likely to report using a modern nonbarrier contraceptive method. When the implant and the IUD were offered at the project clinic, 30 women in Lusaka and 22 in Ndola chose the implant with none choosing the IUD (not shown). An additional five women in Lusaka and one in Ndola requested a LARC method but had a positive pregnancy test and did not qualify (not shown).
Literacy and education
Nyanja was understood by ≥93% of Lusaka respondents though literacy was low. At least two-thirds of Lusaka dwellers also understood Bemba easily though only one in five could read Bemba easily (Table 2).
Nearly all women in Ndola understood Bemba, and Bemba literacy rates were high compared with both Nyanja and Bemba literacy in Lusaka (p < .0001 for both languages in Lusaka). In contrast with Lusaka women who were more likely to be comfortable in both languages, the proportion of Ndola women who understood Nyanja was only 46% among HIV+ FSWs, 28% among HIV− FSWs, and only 15% among SMs, and Nyanja literacy was uniformly low.
Understanding English was far more common in Lusaka compared with Ndola (p < .0001), especially among SMs. English literacy trends paralleled comprehension though at lower levels, with over half of Lusaka respondents able to read English with ease compared with only one in 5 FSWs and one in 20 SMs in Ndola.
Number and type of sexual partners and condom use
SMs reported a mean of 0.9 sex partners in the last year in Lusaka and 1.8 in Ndola (p < .0001) (median 1 in both groups) (not shown). Reported condom use was low with most (70% in Lusaka, 62% in Ndola) reporting never using condoms and only 8%–10% reporting always using condoms (not shown) (p = NS between Lusaka and Ndola).
HIV-negative FSWs were asked about steady, nonpaying partners; repeat clients; and nonrepeat clients in the last month. Half of Lusaka FSWs and one-third of Ndola FSWs reported a steady, nonpaying partner (p = .0008). The number of repeat clients in the last month (mean 4.5/month in Ndola vs. 3.8/month in Lusaka, p = .0130; median 4 in both cities) and the number of nonrepeat clients in the last month (15.8/month in Ndola vs. 7.8/month in Lusaka, p < .0001; median 6 in Ndola and 5 in Lusaka) were higher in Ndola.
Figure 1 shows patterns of condom use by city and by partner type. Only 27% of Lusaka FSWs and 9% of Ndola FSWs reported always using condoms with steady, nonpaying partners (p = .0042). In contrast, in Lusaka condom use was reported much more frequently with paying clients (55% always for repeat and 72% always for nonrepeat clients, p = .0035). Reported condom use among paying clients of Ndola FSWs was not different between repeat and nonrepeat clients (12% always and 49% sometimes vs. 16% always and 42% sometimes, respectively, p = NS), but was substantially lower than reported condom use in their Lusaka counterparts (p < .0001).
Sexual and reproductive history, fertility goals, and alcohol use
These questions were asked only of HIV− FSWs and SMs. In both cities, age at first sexual intercourse was younger for FSWs compared with SMs. When comparing across cities, Ndola had significantly younger ages at first sexual intercourse compared with Lusaka for both FSWs and SMs (p < .0001 for both) (Table 3).
Interestingly, in both cities the proportion of women reporting use of a condom during their first sexual encounter was not different in FSWs and SMs. Lusaka FSWs and SMs were more likely to report using a condom at first intercourse (FSW, SM: 37%) than their counterparts in Ndola (FSW: 19%, p < .0001; SM: 21%, p = .0001).
When asked whether they had their first sexual intercourse willingly, two-thirds to three-quarters of all groups said yes. In Lusaka, the proportion reporting being physically forced to have their first sexual encounter was comparable in FSWs (14%) and SMs (13%), while in Ndola, FSWs were more likely to report forced sex (18% vs. 7% in SM). The frequency of being verbally pressured into their first sexual encounter was not different for SMs and FSWs (20% vs. 17% in Lusaka, 16% vs. 12% in Ndola). FSWs were far more likely to report receiving goods or money for their first sexual experience than SMs in both cities with this report being more common in Ndola FSWs (58% of FSW vs. 24% of SM in Lusaka, 81% vs. 31% in Ndola).
The mean number of live births and living children was not different in Lusaka and Ndola FSWs and SMs. The majority of Lusaka respondents did not plan to have more children (71% of FSWs and 86% of SMs), while most women in Ndola planned to have more children within the next 3 years (50% FSW and 18% SM) or in >3 years (31% FSW and 50% SM). Although modern contraceptive use was more common in Ndola compared with Lusaka, among HIV− SMs and FSWs there was no correlation between stated fertility intent and modern contraceptive use. Similarly, among Lusaka SMs, contraceptive use was not different in women who wanted to have more children and in those who did not. Among Lusaka FSWs however, modern contraceptive use was higher among those not wanting more children (53% vs. 28% of those wanting more children, p < .01).
Alcohol use was reported far more frequently by FSWs (74% in Lusaka and 83% in Ndola) compared with SMs (13% in Lusaka and 23% in Ndola; p < .0001 for both cities). Among FSWs reporting ever using alcohol, 88%–93% reported weekly or daily use. Among SMs who reported ever using alcohol, those in Ndola were over twice as likely to report using alcohol daily or weekly than those in Lusaka (p = .0018). Ndola FSWs were also more likely to report sex during alcohol use always or most of the time than their Lusaka counterparts (34% and 24% versus 10% and 17% in Lusaka, respectively; p < .0001). Ndola SMs were also more likely to report sex during alcohol use always (19%) or most of the time (12%) compared with only 5% of Lusaka SMs though the numbers were small in the latter group (p < .05).
Multivariate predictors of HIV+ status among FSWs
Residing in Lusaka, increasing age, being widowed versus single, having a positive RPR, and not reporting previous testing for HIV remained significant predictors of positive HIV status among FSWs in the adjusted multivariate model. Interaction terms for city were initially included for trichomonas and modern contraceptive use but were not significant in the multivariate model and were removed through backward elimination (Table 4).
Table 4.
Logistic Regression Models of Factors Associated with Testing Positive for HIV at Cohort Screening Among Female Sex Workers in Lusaka and Ndola, Zambia (n = 1,377)
Bivariate models | Final multivariate model | |||||||
---|---|---|---|---|---|---|---|---|
95% CI | 95% CI | |||||||
cOR | LLa | ULb | p | aOR | LLa | ULb | p | |
City | ||||||||
Ndola | Ref | — | — | — | Ref | — | — | — |
Lusaka | 2.06 | 1.65 | 2.56 | <.0001 | 2.01 | 1.55 | 2.83 | <.0001 |
Age (per 1 year increase) | 1.14 | 1.12 | 1.16 | <.0001 | 1.14 | 1.11 | 1.17 | <.0001 |
Marital status | ||||||||
Single | Ref | — | — | — | Ref | — | — | — |
Divorced/separated | 1.81 | 1.35 | 2.41 | <.0001 | 0.72 | 0.50 | 1.05 | .0859 |
Widowed | 9.35 | 4.75 | 18.42 | <.0001 | 3.54 | 2.35 | 4.83 | .0009 |
RPR for syphilis | ||||||||
Negative | Ref | — | — | — | Ref | — | — | — |
Positive | 3.68 | 2.75 | 4.92 | <.0001 | 3.37 | 2.35 | 4.83 | <.0001 |
Previously tested for HIV | ||||||||
Yes | Ref | — | — | — | Ref | — | — | — |
No | 2.26 | 1.77 | 2.87 | <.0001 | 1.87 | 1.35 | 2.60 | .0002 |
The following variables were not significant in bivariate analyses and are not tabled: Trichomonas on wet mount result, sperm on wet mount result, and pregnancy (self-reported). The following variables were not significant in initial adjusted analyses and were removed from the final multivariate model through backward elimination and are not tabled: interaction terms between city and trichomonas on wet mount and city and current contraceptive method, and current contraceptive method.
Lower limit for 95% CI.
Upper limit for 95% CI.
AOR, adjusted odds ratio; CI, confidence interval; COR, crude odds ratio.
Multivariate predictors of being an FSW versus an SM among HIV− women
Increasing age, younger age at first sexual encounter, being single versus widowed, divorced or separated, reading the vernacular Bemba and Nyanja with difficulty or not at all versus reading either easily in Ndola, being forced physically versus engaging willingly at first sexual intercourse in Ndola, receiving money or goods at first sexual intercourse, and ever using alcohol remained significant predictors of being an FSW versus an SM. Interestingly, primary and secondary education versus no education were associated with a lower likelihood of being an FSW in Lusaka, while secondary education or higher was associated with a higher likelihood of being an FSW in Ndola (Table 5).
Table 5.
Logistic Regression Models of Factors Associated with Being a Female Sex Worker Versus a Single Mother Among HIV− Women at Baseline in Lusaka and Ndola, Zambia (n = 942)
Bivariate models | Final multivariate model | |||||||
---|---|---|---|---|---|---|---|---|
95% CI | 95% CI | |||||||
cOR | LLa | ULb | p | aOR | LLa | ULb | p | |
Age (per 1 year increase) | 1.05 | 1.03 | 1.08 | <.0001 | 1.13 | 1.09 | 1.18 | <.0001 |
Age at first sexual encounter (per 1 year increase) | 0.84 | 0.80 | 0.89 | <.0001 | 0.84 | 0.77 | 0.91 | <.0001 |
Marital status | ||||||||
Single | 1.89 | 1.40 | 2.57 | <.0001 | 3.90 | 2.32 | 6.58 | <.0001 |
Divorced/separated/widowed | Ref | — | — | — | Ref | — | — | — |
Reads vernacular language (Bemba or Nyanja) x city | ||||||||
Easily (for either language) versus with difficulty/not at all (for both languages) in Ndola | 2.36 | 1.70 | 3.26 | <.0001 | 2.07 | 1.25 | 3.42 | .0045 |
Easily versus with difficulty/not at all in Lusaka | 0.85 | 0.55 | 1.33 | .4850 | 0.72 | 0.37 | 1.38 | .3205 |
Highest education level completed x city | ||||||||
Primary versus none in Ndola | 1.40 | 0.79 | 2.46 | .2458 | 1.77 | 0.76 | 4.16 | .1876 |
Primary versus none in Lusaka | 0.19 | 0.05 | 0.72 | .0139 | 0.13 | 0.03 | 0.67 | .0147 |
Secondary/college versus none in Ndola | 2.22 | 1.22 | 4.05 | .0091 | 4.11 | 1.59 | 10.62 | .0035 |
Secondary/college versus none in Lusaka | 0.17 | 0.05 | 0.59 | .0058 | 0.10 | 0.02 | 0.52 | .0059 |
Pressure or force at first sexual intercourse x city | ||||||||
Pressured verbally versus willingly in Ndola | 0.81 | 0.50 | 1.30 | .3797 | 1.06 | 0.53 | 2.14 | .8686 |
Pressured verbally versus willingly in Lusaka | 0.81 | 0.46 | 1.46 | .4871 | 0.49 | 0.22 | 1.11 | .0866 |
Forced physically versus willingly in Ndola | 2.67 | 1.60 | 4.48 | .0002 | 4.41 | 2.05 | 9.48 | .0001 |
Forced physically versus willingly in Lusaka | 1.06 | 0.55 | 2.03 | .8693 | 0.97 | 0.39 | 2.42 | .9454 |
Received money/goods/favors at first sexual intercourse | ||||||||
No | Ref | — | — | — | Ref | — | — | — |
Yes | 6.54 | 4.91 | 8.70 | <.0001 | 6.21 | 4.16 | 9.28 | <.0001 |
Ever uses alcohol | ||||||||
No | Ref | — | — | — | Ref | — | — | — |
Yes | 16.14 | 11.69 | 22.30 | <.0001 | 13.47 | 9.05 | 20.05 | <.0001 |
The following variable was not significant in bivariate analyses and is not tabled: years living in Lusaka/Ndola (continuous). The following variables and interaction terms were not significant in initial adjusted analyses and were removed from the final multivariate model through backward elimination and are not tabled: interaction terms between city and marital status and city and current contraceptive method, and current contraceptive method.
Lower limit for 95% CI.
Upper limit for 95% CI.
Discussion
In Zambia's two largest cities, the prevalence of HIV and STI is high among FSWs, and STIs are common among SMs at high risk of initiating sex work. Many FSWs had not previously tested for HIV and among those who were HIV+, less than one in seven were taking ART. In light of these findings, the low rate of condom use—particularly among SMs—the high rate of verbal or physical coercion at first sexual intercourse for both SMs and FSWs, and the frequent use of alcohol during sex by FSWs are especially alarming. Unplanned pregnancy is an additional risk in these women of childbearing age, and use of effective modern contraception is low even among women who state that they do not want to become pregnant. Substantial differences in HIV and STI prevalence and risk behaviors between the two cities indicate that local characteristics are important to consider in prevention and care programs. While comprehension of the local language in culturally homogeneous areas such as Ndola is universal, cities like Lusaka host migrants from several language groups. Understanding of Nyanja may be adequate for day-to-day communication, but nuanced or complex HIV prevention messages may not be thoroughly understood. This, in combination with limited English comprehension and vernacular literacy, highlights the limitations of many HIV prevention efforts for these key populations to date.
Among FSWs in both Lusaka and Ndola, those with HIV were older, more likely to be widowed, to have a positive RPR, and to report not having been previously tested for HIV than their HIV− counterparts. In both groups, uptake of a LARC method when offered at the research clinic was low. While the prevalence of HIV was substantially higher in Lusaka compared with Ndola, the prevalence of positive RPR was not different. Interestingly, the prevalence of trichomonas was twice as high in Ndola as Lusaka and was not different in both HIV serostatus groups, while in Lusaka the prevalence was higher in HIV+ compared with HIV− FSW.
In sub-Saharan Africa, the proportion of women involved in sex work has been estimated at between 0.7% and 4.3% in the capitals and between 0.4% and 4.3% in other urban areas.22 Local surveys show generally higher proportions, and a hidden number of “part-time” sex workers23 add to transmission of HIV/STIs. Targeted services have been effective in several settings, including southern,24 western,25 and east-central Africa26,27 as well as on trans-Africa highways.28 Previous surveys and publications of FSWs in Zambia confirm that high prevalence of HIV and STI and poor condom use has been a feature in FSWs for many years.9 As in Kenya, the prevalence of HIV in Ndola has decreased in the last 7 years,6,29 but remains high relative to other groups. Serial Bio-Behavioral Surveys in Zambian border towns confirm that the proportion of FSWs who have been tested for HIV has increased considerably since 2000.30 Unfortunately, programs have typically been geographically limited and intermittently funded.
Programs targeting adolescent girls and young women (AGYW aged up to 24 years) often include educational and economic components designed to prevent entry into the sex industry.31,32 Many HIV− SMs are in this group and could benefit from targeted programs. However, the mean age of SMs was 24 in Lusaka and 23 in Ndola, and half would thus be too old for AGYW prevention programs. The profile of SMs in our study resembled that of HIV− FSWs in many ways: the prevalence of positive RPR and trichomonas was not different in the two groups in both cities. Literacy in the vernacular was poor as was English comprehension, both indications that employment opportunities and comprehension of written HIV prevention materials would be limited. A quarter to a third of both groups had been pressured physically or verbally at first sex, and among SMs a comparable proportion reported receiving goods or money for that first sexual exposure in both cities. This problem of abuse at a young age has been reported elsewhere in Africa.33 While SMs were far less likely to report alcohol use than their FSW counterparts, they were also far more likely to report never using condoms.
Less than two-thirds of HIV+ FSWs had been previously tested for HIV, and few of those—15% in Lusaka and only 9% in Ndola—reported ART use. This is in stark contrast to reports of high ART use in the general population of HIV+ Zambians.1 Availability of ART was generalized in Lusaka and Ndola government clinics in 2012 and thereafter, though eligibility criteria evolved from CD4 < 200 to <350 to <500 cells/mm3. Key populations including FSWs were not deemed eligible regardless of CD4 count until the Zambia Consolidated Guidelines issued in 2016. There have been many legal, policy, and sociocultural barriers to HIV prevention and care among key populations, including FSWs.34 Stigma—both sex work and HIV related—is a major obstacle to prevention, testing, and care for both FSWs and their children,2,12,35 and the problem is not limited to Zambia.36–39 Evidence-based stigma-reduction interventions have been the focus of research for ≥10 years.40 Integrated stigma mitigation interventions have shown success in Senegal.37 Violence,41 discrimination, poor nutrition, and food insecurity are commonly reported and associated with poor linkage to care, retention in care, and ART initiation.42
Fertility goals and modern nonbarrier contraceptive use patterns differed between HIV+ and HIV− FSWs, SMs, and between cities. Lusaka respondents were much less likely to report wanting more children than Ndola respondents, although their number of existing children was not different. Paradoxically however, they were also far less likely to be using a modern contraceptive method. Chanda et al. have published that half of Zambian FSWs surveyed reported an unplanned pregnancy.2 A study of Kenyan FSWs showed many using modern contraceptives but reporting irregular condom use.43 In our study, when education about and access to LARC methods that were often not available at government clinics were provided, uptake was <3%. This is in contrast to the high uptake of LARC methods among discordant and concordant couples in Zambia and Rwanda after similar LARC counseling and provision.44–46 Given the low level of education and literacy, it may be that the myths and misconceptions that surround LARC in Africa are more common among FSWs and SMs compared with couples.47 In some cases, as has been reported in other studies, FSWs may desire pregnancy48,49 but may not share those intentions with partners,50 clients,51 or others, including health care providers. Finally, the practice of sex work may be fluid with temporal transitions and combinations of steady and casual, paying or gifting and nonpaying partners.52 Effective messages and tailored services53–55 are needed to increase dual-method use,56,57 combining consistent condom use with a nonbarrier method to optimize prevention of HIV/STI and unplanned pregnancy.58,59
Our study had several limitations. Our recruitment strategy targeted sexually active HIV-negative SMs at infant vaccination services in government clinics who responded positively to a referral to the research site. We were unable to collect risk profile from HIV+ SMs because the sponsor's goal was to enroll women at high risk of incident HIV infection, and we did not have information on HIV− SMs who did not respond to the referral. Some women referred from infant vaccination might have been FSWs but declined to respond positively to the question regarding exchange of sex for money, which may have resulted in some misclassification. Our recruitment strategy for FSWs also did not allow data collection for those who did not respond to the invitation. The study was conducted in two of the largest cities in Zambia. Environmental and socioeconomic factors specific to these cities may affect generalizability of the findings in this study to other areas, for example, border towns where commercial sex work is prominent or rural areas. Despite the study having these limitations, the findings are relevant because they highlight the fact that SMs who have not been identified as a group at significant risk of HIV infection have similar risk profiles to FSWs.
Conclusion
FSWs continue to be at high risk of transmitting and acquiring HIV/STIs and having unplanned pregnancies in Zambia, and prevention, care, and treatment services require urgent strengthening. Similarly, SMs had a high prevalence of STI and low reported condom use. This, combined with poverty and lack of education, makes these women highly vulnerable. Programs for AGYW should consider expanding age ranges to provide income generation options other than sex work for SMs.
Acknowledgments
We thank the staff and clients of the Zambia Emory HIV Research Project (ZEHRP) clinics and the community leaders and members who assisted with promoting HIV and unplanned pregnancy prevention among vulnerable women. We also thank the staff in infant vaccination clinics in the Lusaka and Ndola government clinics whose referrals of single women were critical to our efforts. This study was supported by the International AIDS Vaccine Initiative. This study was made possible by the generous support of the American people through the United States Agency for International Development (USAID). Additional support was provided by the National Institute of Child Health and Development (NICHD R01 HD40125); National Institute of Mental Health (NIMH R01 66767); the AIDS International Training and Research Program Fogarty International Center (D43 TW001042); the Emory Center for AIDS Research (P30 AI050409); and the National Institute of Allergy and Infectious Diseases (NIAID R01 AI51231; NIAID R01 AI040951; NIAID R01 AI023980; NIAID R01 AI64060; NIAID R37 AI51231). The contents are the responsibility of the International AIDS Vaccine Initiative and do not necessarily reflect the views of USAID or the United States Government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the article.
Authors' Contribution
Contributions of coauthors included conceptual (all); implementation of the work and data collection (W.K., M.I., T.S., K.M., A.-M. V.); data analysis (K.W., R.P., C.H., M.P., A.T.); and article preparation (S.A., W.K., M.P., K.W.). All coauthors provided careful review and editing of the article.
Author Disclosure Statement
No competing financial interests exist.
References
- 1. UNAIDS Zambia. Available at www.unaids.org/en/regionscountries/countries/zambia, accessed July16, 2019
- 2. Chanda MM, Ortblad KF, Mwale M, et al. : Contraceptive use and unplanned pregnancy among female sex workers in Zambia. Contraception 2017;96:196–202 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. McKinnon LR, Karim QA: Factors driving the HIV epidemic in Southern Africa. Curr HIV/AIDS Rep 2016;13:158–169 [DOI] [PubMed] [Google Scholar]
- 4. Baral S, Beyrer C, Muessig K, et al. : Burden of HIV among female sex workers in low-income and middle-income countries: A systematic review and meta-analysis. Lancet Infect Dis 2012;12:538–549 [DOI] [PubMed] [Google Scholar]
- 5. Leclerc PM, Garenne M: Commercial sex and HIV transmission in mature epidemics: A study of five African countries. Int J STD AIDS 2008;19:660–664 [DOI] [PubMed] [Google Scholar]
- 6. Kasonogo W, Tembo M, Mwakazanga D, et al. : Integrated Biological and Behavioural Surveillance Survey (IBBSS) Among Female Sex Workers and Behavioural Surveillance Survey (BSS) Among Male Long Distance Truck Drivers in Five Corridors of Hope Project District Sites in Zambia, 2015. Ministry of Health, Zambia, Ministry of Community Development Mother and Child Health, National HIV/AIDS Council, Zambia, 2015 [Google Scholar]
- 7. Singh K, Buckner B, Tate J, Ndubani P, Kamwanga J: Age, poverty and alcohol use as HIV risk factors for women in Mongu, Zambia. Afr Health Sci 2011;11:204–210 [PMC free article] [PubMed] [Google Scholar]
- 8. Zambia PEPFAR Country Operating Plan 2017. Available at https://www.pepfar.gov/documents/organization/272026.pdf, accessed July16, 2019
- 9. Morison L, Weiss HA, Buve A, et al. : Commercial sex and the spread of HIV in four cities in sub-Saharan Africa. AIDS 2001;15 Suppl 4:S61–S69 [DOI] [PubMed] [Google Scholar]
- 10. Chanda MM, Perez-Brumer AG, Ortblad KF, et al. : Barriers and facilitators to HIV testing among Zambian female sex workers in three transit hubs. AIDS Patient Care STDS 2017;31:290–296 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Abbott SA, Haberland NA, Mulenga DM, Hewett PC: Female sex workers, male circumcision and HIV: A qualitative study of their understanding, experience, and HIV risk in Zambia. PLoS One 2013;8:e53809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Beard J, Biemba G, Brooks MI, et al. : Children of female sex workers and drug users: A review of vulnerability, resilience and family-centred models of care. J Int AIDS Soc 2010;13 Suppl 2:S6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Chanda MM, Ortblad KF, Mwale M, et al. : HIV self-testing among female sex workers in Zambia: A cluster randomized controlled trial. PLoS Med 2017;14:e1002442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Wall KM, Kilembe W, Inambao M, et al. : Implementation of an electronic fingerprint-linked data collection system: A feasibility and acceptability study among Zambian female sex workers. Global Health 2015;11:27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Leclerc PM, Matthews AP, Garenne ML: Fitting the HIV epidemic in Zambia: A two-sex micro-simulation model. PLoS One 2009;4:e5439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Leclerc PM, Garenne M: Clients of Commercial Sex Workers in Zambia: Prevalence, Frequency, and Risk Factors. The Open Demography Journal, 2008;1:1–10 [Google Scholar]
- 17. Beckham SW, Shembilu CR, Winch PJ, Beyrer C, Kerrigan DL: ‘If you have children, you have responsibilities': Motherhood, sex work and HIV in southern Tanzania. Cult Health Sex 2015;17:165–179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Kang'ethe SM, Itai M: Evaluating the survival strategies adopted by single mothers to enhance their livelihood in Zimbabwe from a literature review lenses. Mediterr J Soc Sci 2014;5:1222–1229 [Google Scholar]
- 19. Majaha D: Zimbabwe: Economic Decline Drives Single Mums to Sex Work. Available at www.allafrica.com/stories/201507021224.html, accessed July16, 2019
- 20. Boeras DI, Luisi N, Karita E, et al. : Indeterminate and discrepant rapid HIV test results in couples' HIV testing and counselling centres in Africa. J Int AIDS Soc 2011;14:18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Dionne-Odom J, Karita E, Kilembe W, et al. : Syphilis treatment response among HIV-discordant couples in Zambia and Rwanda. Clin Infect Dis 2013;56:1829–1837 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Vandepitte J, Lyerla R, Dallabetta G, Crabbe F, Alary M, Buve A: Estimates of the number of female sex workers in different regions of the world. Sex Transm Infect 2006;82 Suppl 3:iii18–25 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Hawken MP, Melis RD, Ngombo DT, et al. : Part time female sex workers in a suburban community in Kenya: A vulnerable hidden population. Sex Transm Infect 2002;78:271–273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Vickerman P, Terris-Prestholt F, Delany S, Kumaranayake L, Rees H, Watts C: Are targeted HIV prevention activities cost-effective in high prevalence settings? Results from a sexually transmitted infection treatment project for sex workers in Johannesburg, South Africa. Sex Transm Dis 2006;33(10 Suppl):S122–S132 [DOI] [PubMed] [Google Scholar]
- 25. Alary M, Mukenge-Tshibaka L, Bernier F, et al. : Decline in the prevalence of HIV and sexually transmitted diseases among female sex workers in Cotonou, Benin, 1993–1999. AIDS 2002;16:463–470 [DOI] [PubMed] [Google Scholar]
- 26. Ngugi EN, Chakkalackal M, Sharma A, et al. : Sustained changes in sexual behavior by female sex workers after completion of a randomized HIV prevention trial. J Acquir Immune Defic Syndr 2007;45:588–594 [DOI] [PubMed] [Google Scholar]
- 27. Luchters S, Chersich MF, Rinyiru A, et al. : Impact of five years of peer-mediated interventions on sexual behavior and sexually transmitted infections among female sex workers in Mombasa, Kenya. BMC Public Halth 2008;8:143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Morris CN, Morris SR, Ferguson AG: Sexual behavior of female sex workers and access to condoms in Kenya and Uganda on the Trans-Africa highway. AIDS Behav 2009;13:860–865 [DOI] [PubMed] [Google Scholar]
- 29. Vandenhoudt HM, Langat L, Menten J, et al. : Prevalence of HIV and other sexually transmitted infections among female sex workers in Kisumu, Western Kenya, 1997 and 2008. PLoS One 2013;8:e54953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. FHI360: Behavioral and Biologic Surveillance Survey Zambia: Female Sex Workers. 2000. Report No.: Cooperative Agreement HRN-A-00-97-0017-00: USAID
- 31. Abdool Karim Q, Baxter C, Birx D: Prevention of HIV in adolescent girls and young women: Key to an AIDS-free generation. J Acquir Immune Defic Syndr 2017;75 Suppl 1:S17–S26 [DOI] [PubMed] [Google Scholar]
- 32. Brown K, Williams DB, Kinchen S, et al. : Status of HIV epidemic control among adolescent girls and young women aged 15–24 years—Seven African countries, 2015–2017. MMWR Morb Mortal Wkly Rep 2018;67:29–32 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Grosso A, Busch S, Mothopeng T, et al. : HIV risks and needs related to the Sustainable Development Goals among female sex workers who were commercially sexually exploited as children in Lesotho. J Int AIDS Soc 2018;21 Suppl 1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Mwondela M, Pessoa-Brandão L, Carroll A: Legal Policy, and Socio-Cultural Barriers to HIV-Related Prevention, Treatment Care, and Support for Key Populations in Zambia. National Alliance of State & Territorial AIDS Directors, Zambia, 2015 [Google Scholar]
- 35. Agha S, Chulu Nchima M: Life-circumstances, working conditions and HIV risk among street and nightclub-based sex workers in Lusaka, Zambia. Cult Health Sex 2004;6:283–299 [DOI] [PubMed] [Google Scholar]
- 36. Hargreaves JR, Busza J, Mushati P, Fearon E, Cowan FM: Overlapping HIV and sex-work stigma among female sex workers recruited to 14 respondent-driven sampling surveys across Zimbabwe, 2013. AIDS Care 2017;29:675–685 [DOI] [PubMed] [Google Scholar]
- 37. Lyons CE, Ketende S, Diouf D, et al. : Potential impact of integrated stigma mitigation interventions in improving HIV/AIDS service delivery and uptake for key populations in Senegal. J Acquir Immune Def Syndr 1999 2017;74(Suppl 1):S52–S59 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Rao A, Stahlman S, Hargreaves J, et al. : Sampling key populations for HIV Surveillance: Results from eight cross-sectional studies using respondent-driven sampling and venue-based snowball sampling. JMIR Public Health Surveill 2017;3:e72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Wanyenze RK, Musinguzi G, Kiguli J, et al. : “When they know that you are a sex worker, you will be the last person to be treated”: Perceptions and experiences of female sex workers in accessing HIV services in Uganda. BMC Int Health Hum Rights 2017;17:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Bos AE, Schaalma HP, Pryor JB: Reducing AIDS-related stigma in developing countries: The importance of theory- and evidence-based interventions. Psychol Health Med 2008;13:450–460 [DOI] [PubMed] [Google Scholar]
- 41. Lyons CE, Grosso A, Drame FM, et al. : Physical and sexual violence affecting female sex workers in Abidjan, Cote d'Ivoire: Prevalence, and the relationship with the work environment, HIV, and access to health services. J Acquir Immune Defic Syndr 2017;75:9–17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Lancaster KE, Cernigliaro D, Zulliger R, Fleming PF: HIV care and treatment experiences among female sex workers living with HIV in sub-Saharan Africa: A systematic review. Afr J AIDS Res 2016;15:377–386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Sutherland EG, Alaii J, Tsui S, et al. : Contraceptive needs of female sex workers in Kenya—A cross-sectional study. Eur J Contracept Reprod Health Care 2011;16:173–182 [DOI] [PubMed] [Google Scholar]
- 44. Mark KE, Meinzen-Derr J, Stephenson R, et al. : Contraception among HIV concordant and discordant couples in Zambia: A randomized controlled trial. J Womens Health 2007;16:1200–1210 [DOI] [PubMed] [Google Scholar]
- 45. Stephenson R, Vwalika B, Greenberg L, et al. : A randomized controlled trial to promote long-term contraceptive use among HIV-serodiscordant and concordant positive couples in Zambia. J Womens Health 2011;20:567–574 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Khu NH, Vwalika B, Karita E, et al. : Fertility goal-based counseling increases contraceptive implant and IUD use in HIV-discordant couples in Rwanda and Zambia. Contraception 2013;88:74–82 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Grabbe K, Stephenson R, Vwalika B, et al. : Knowledge, use, and concerns about contraceptive methods among sero-discordant couples in Rwanda and Zambia. J Womens Health 2009;18:1449–1456 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Beckham S, Shembilu C, Brahmbhatt H, Winch P, Beyrer C, Kerrigan D: Female sex workers' experiences with intended pregnancy and antenatal care services in Southern Tanzania. Stud Fam Plann 2015;46:55–71 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Duff P, Shoveller J, Feng C, Ogilvie G, Montaner J, Shannon K: Pregnancy intentions among female sex workers: Recognising their rights and wants as mothers. J Fam Plann Reprod Health Care 2015;41:102–108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Yam EA, Kidanu A, Burnett-Zieman B, et al. : Pregnancy experiences of female sex workers in Adama City, Ethiopia: Complexity of partner relationships and pregnancy intentions. Stud Fam Plann 2017;48:107–119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Papworth E, Schwartz S, Ky-Zerbo O, et al. : Mothers who sell sex: A potential paradigm for integrated HIV, sexual, and reproductive health interventions among women at high risk of HIV in Burkina Faso. JAIDS 2015;68:S154–S161 [DOI] [PubMed] [Google Scholar]
- 52. Haram L: ‘Prostitutes' or modern women? Negotiating respectability in Northern Tanzania. (Arnfred S, ed.) Re-thinking Sexualities in Africa. Nordiska Afrikainstitutet, Uppsala, 2nd ed., 2004, pp. 211–229 [Google Scholar]
- 53. Lafort Y, Jocitala O, Candrinho B, et al. : Are HIV and reproductive health services adapted to the needs of female sex workers? Results of a policy and situational analysis in Tete, Mozambique. BMC Health Serv Res 2016;16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Lafort Y, Lessitala F, Candrinho B, et al. : Barriers to HIV and sexual and reproductive health care for female sex workers in Tete, Mozambique: Results from a cross-sectional survey and focus group discussions. BMC Public Health 2016;16:608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Wahed T, Alam A, Sultana S, et al. : Barriers to sexual and reproductive healthcare services as experienced by female sex workers and service providers in Dhaka city, Bangladesh. PLoS One 2017;12:e0182249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Reed E, Erausquin JT, Biradavolu M, Servin AE, Blankenship KM: Non-barrier contraceptive use and relation to condom use behaviour by partner type among female sex workers in Andhra Pradesh, India. J Fam Plann Reprod Health Care 2017;43:60–66 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Reed ESJ, Stein B, Erausquin JT, Biradavolu M, Rosenberg A, Blankenship KM: Motherhood and HIV risk among female sex workers in Andhra Pradesh, India: The need to consider women's life contexts. AIDS Behav 2013;17:543–550 [DOI] [PubMed] [Google Scholar]
- 58. Wall KM, Kilembe W, Vwalika B, et al. : Sustained effect of couples' HIV counselling and testing on risk reduction among Zambian HIV serodiscordant couples. Sex Transm Infect 2017;93:259–266 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Schwartz S, Papworth E, Thiam-Niangoin M, et al. : An urgent need for integration of family planning services into HIV care: The high burden of unplanned pregnancy, termination of pregnancy, and limited contraception use among female sex workers in Cote d'Ivoire. J Acquir Immune Defic Syndr 2015;68 Suppl 2:S91–S98 [DOI] [PubMed] [Google Scholar]