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  • Research article
  • Open Access
  • Open Peer Review

Burden and characteristics of HIV infection among female sex workers in Kampala, Uganda – a respondent-driven sampling survey

  • 1Email author,
  • 1,
  • 2,
  • 3,
  • 1,
  • 4 and
  • 1
BMC Public HealthBMC series – open, inclusive and trusted201717:565

https://doi.org/10.1186/s12889-017-4428-z

  • Received: 31 August 2016
  • Accepted: 15 May 2017
  • Published:
Open Peer Review reports

Abstract

Background

Sex workers in Uganda are at significant risk for HIV infection. We characterized the HIV epidemic among Kampala female sex workers (FSW).

Methods

We used respondent-driven sampling to sample FSW aged 15+ years who reported having sold sex to men in the preceding 30 days; collected data through audio-computer assisted self-interviews, and tested blood, vaginal and rectal swabs for HIV, syphilis, neisseria gonorrhea, chlamydia trachomatis, and trichomonas vaginalis.

Results

A total of 942 FSW were enrolled from June 2008 through April 2009. The overall estimated HIV prevalence was 33% (95% confidence intervals [CI] 30%-37%) and among FSW 25 years or older was 44%. HIV infection is associated with low levels of schooling, having no other work, never having tested for HIV, self-reported genital ulcers or sores, and testing positive for neisseria gonorrhea or any sexually transmitted infections (STI). Two thirds (65%) of commercial sex acts reportedly were protected by condoms; one in five (19%) FSW reported having had anal sex. Gender-based violence was frequent; 34% reported having been raped and 24% reported having been beaten by clients in the preceding 30 days.

Conclusions

One in three FSW in Kampala is HIV-infected, suggesting a severe HIV epidemic in this population. Intensified interventions are warranted to increase condom use, HIV testing, STI screening, as well as antiretroviral treatment and pre-exposure prophylaxis along with measures to overcome gender-based violence.

Keywords

  • Female sex workers
  • HIV
  • STI
  • Kampala
  • Uganda
  • RDS
  • Respondent-driven sampling

Background

By the end of 2014, there were near 37 million people living with HIV globally, with more than 5000 new infections per day the majority of which occur in sub-Saharan Africa [1]. UNAIDS has put forward a bold vision to end the global HIV epidemic by 2030, [2] beginning by first meeting the 90-90-90 “fast-track” targets by 2020.1 These achievements are only possible by implementing comprehensive packages of prevention and HIV care services for all populations, especially those with highest HIV burden, incidence, and transmission rates.

Key populations, including sex workers, are critical to controlling the HIV pandemic. A recent review estimated that female sex workers (FSW) are 13.5 times more likely to be HIV infected than other women [3]. Sex workers require tailored public health interventions that address critical gaps in HIV prevention, HIV testing, case-finding, linkage, retention, and adherence to antiretroviral therapy. Although encouraging progress has been made in stabilizing HIV prevalence and promoting condom use among sex workers in some locations, substantially greater gains will be needed to reduce the rate of sexual HIV transmission among sex workers and their partners by 2020 [4]. FSW are at increased risk for HIV due to frequent sex with numerous clients, inconsistent condom use, anal sex, and drug use, as well as violence, stigma and discrimination, and impeded access to HIV services [57]. An estimated 15% of HIV infections worldwide may be due to sex work, with sub-Saharan Africa having the highest attributable fraction (17.8%) [8].

Uganda faces a generalized epidemic with an estimated adult HIV prevalence of 7.3% [9] and an HIV incidence that remains stubbornly stable [4]. In Kampala, Uganda’s capital, a cohort of high-risk women, most of whom reported engaging in selling sex, had a baseline HIV prevalence of 37% [10]. Sex work in Uganda is illegal and likely contributes disproportionally to the overall burden of disease; indeed, a Modes of Transmission study estimated that sex work-related HIV transmissions may account for 10% of incident HV infections [11].

As a socially hidden population, sex workers are often highly mobile, transitioning in and out of sex work as dictated by economic needs. Surveys using proper sampling designs for such populations are difficult and challenging, and thus convenience sampling designs are commonly used. We report here on the first bio-behavioral survey undertaken among FSW in Kampala that used a rigorous sampling design and thus generated population estimates for this important high-risk group. Our data collection and analysis was based on a conceptual framework in which social factors influence sexual and drug use behaviors that in turn affect HIV infection risk. The survey’s objectives were to: (1) estimate the burden of HIV and other sexually transmitted infections (STI), (2) estimate the burden of self-reported key behavioral measures relevant for HIV and STI control in this population, and (3) investigate risk factors associated with HIV infection.

Methods

Survey design

We conducted a cross-sectional biobehavioral survey among FSW in Kampala, Uganda, using respondent-driven sampling (RDS). Pre-survey formative research with eight key informants, including government officials, sex workers, and previous survey investigators using a qualitative interview guide suggested that RDS should be favored over venue-based sampling and informed seed identification, social connectedness, compensation for survey participation, as well as other survey procedures.

Study population

Survey eligibility criteria included female sex, age ≥ 15 years, residence in greater Kampala, and self-reported selling of sex to one or more men during the 30 days preceding survey enrollment. Candidate recruits who received their coupons from strangers were excluded, as one of the functional RDS assumptions includes that recruiter and recruit know one another.

Sampling

RDS methodology is well described elsewhere [1214] and is commonly used to sample socially hidden populations. Sampling began with nine seeds and recruits received three coupons each as well as a brief training for peer referral. Recruits would give a coupon to a peer; only by presenting a coupon one could enroll in the survey. Due to a high coupon redemption rate, the number of coupons was quickly reduced to two coupons per recruits for most of the sampling period and further reduced to one towards the end of the survey. Recruits presented their coupons at the single survey office in downtown Kampala. Survey data were collected between June 2008 and April 2009.

In total, 2120 coupons were issued and 1100 (52%) were redeemed; an additional 40 coupons were deemed invalid. Of the 1100 candidate recruits, 949 (86%) were considered eligible, consented, and enrolled. Of these, 942 (99%) were interviewed and received HIV testing. The number of waves per seed varied between 1 and 25; equilibrium (i.e., the point in sampling when the distribution of a given characteristic stabilizes) for both HIV infection and age was reached after wave 2. Figure 1 displays the sampling tree; Table 1 shows the recruitment matrix by HIV status and age group.
Fig. 1
Fig. 1

Diagram of the recruitment chains produced by yEd software (version 3.10.2). For the 949 nodes (FSW), 323 had a positive HIV test result (red square), 619 had a negative result (blue triangle), and 7 had a missing value (black circle)

Table 1

Recruiter-recruit matrix by HIV status and age group

  

Recruit

 

HIV status

Negative

Positive

Recruiter

Negative

407 (70%)

174 (30%)

Positive

205 (58%)

147 (42%)

Age

15-24 years

25+ years

15-24 years

178 (51%)

172 (49%)

25+ years

220 (38%)

363 (62%)

Survey office procedures

After recruits’ coupons were verified, CD and MP3 players were used to inform recruits about specific interview terms used (such as the different types of sex, frequency of sex, partner types), peer recruitment, and other relevant survey information. Candidate participants were then screened for eligibility and consented face-to-face. Thereafter, a short computer-based tutorial about audio-computer-assisted self-interviewing (ACASI) preceded the actual ACASI; a small fraction who could not complete the ACASI were interviewed face-to-face. Following the interview, recruits underwent pre-test counseling for HIV and STI testing and had venous blood as well as vaginal and rectal swab specimens collected. At the end of the first visit, recruits received instructions and coupons for peer recruitment. Recruits were asked to return to the survey office two weeks later to receive post-test counseling for HIV and other test results, treatment for non-HIV associated STI, or referral letters for HIV care/treatment providers in case of HIV-positive results.

Data measures

In addition to basic demographic data, our main data variables of interest included lifetime sexual characteristics, sexual experiences in the last 30 days, sexual violence, self-reported alcohol and drug use, sexually transmitted disease (STD) symptoms, access to HIV services, and HIV-related perceptions. We probed blackmail through the question “Have you ever been blackmailed by someone because you sell sex?”, and knowledge on transmission risk by mode of intercourse through the question “What kind of sex do you think is more dangerous to get HIV?” We probed alcohol consumption as having ever drunk alcohol, probed the frequency of alcohol drinking in the last 30 days and prior to the last sex act, and defined a drink of alcohol as “one bottle of beer, one glass of wine, or one shot of whisky or waragi.

Laboratory measures

Specimens were transported daily to the laboratory. Laboratory testing was performed at the STD Reference Laboratory based at Mulago Hospital, Kampala. Testing for HIV-1 antibodies was performed in parallel using Vironostika® HIV Uniform II plus O2 (bioMeriéux, Marcy l’Etoile, France) and Murex® HIV Ag/Ab Combination (Abbott Laboratories, Abbott Park, Illinois, U.S.A.). Serological testing for Treponema pallidum (TP) was performed with anti-syphilis IgG ELISA (Biotec Laboratories, Suffolk, UK) and, if reactive, the Rapid Plasma Reagin Syfacard-R Test (Murex Biotech, Dartford, UK) to detect current TP infection. Vaginal and rectal swabs were tested for Neisseria gonorrhea (NG) and Chlamydia trachomatis (CT) DNA using Cobas Amplicor or Amplicor PCR (Roche Diagnostics, Branchburg, New Jersey, U.S.A.). Using microscopy, we evaluated vaginal swabs for the presence of bacterial vaginosis, and Trichomonas vaginalis utilizing InPouch (BioMed Diagnostics, Inc., White City, Oregon, USA).

Data management and analysis

For sample size calculations, we assumed an HIV prevalence of 25.2%, approximately twice that of urban Ugandan women in general [15] (no probability-based previous survey estimates for FSW in Kampala were available), and a design effect of 2 [16], and determined that a minimum target sample size of approximately 600 would yield acceptable 95% confidence intervals (CI). Interview data were cleaned using Statistical Analysis Software - SAS v9.3 (SAS Institute, Cary, North Carolina). To account for social network size and recruitment patterns, we calculated individualized weights using RDSAT version 7.1.38 software (www.respondentdrivensampling.org). For categorical variables the RDS-based weights were applied to the data and each FSW was treated as a primary sampling unit using SAS-callable SUDAAN software [17]. For several continuous variables, we calculated the median (interquartile range, IQR) using unweighted data.

Chi-squared tests of independence between each characteristic and the HIV outcome were performed. In addition, we calculated prevalence ratios and 95% CI [18]. Because numerous characteristics of FSW were associated with HIV infection, we used a hierarchical conceptual framework for building a multivariable model for HIV infection [19]. First, we included sociodemographic factors associated with HIV infection at a level of P < 0.2 in bivariate analysis in a backward elimination model selection procedure and retained factors in the model that were independently associated with HIV infection (P < 0.05). Next, we considered this core set of sociodemographic factors plus behavioral factors that were associated with HIV infection at a level of P < 0.2 in bivariate analysis in a second backward elimination model selection procedure. The final set of sociodemographic and behavioral factors independently associated with HIV infection were included in a separate multivariable model for each of the other sexually transmitted infections.

Human subjects considerations

The survey was conducted anonymously; we obtained verbal informed consent but collected no personal identifiers. Recruits had their fingerprints scanned (images were not stored) to generate unique alphanumeric codes and facilitate linking visits, detecting duplicate enrollment attempts or coupons that were issued to other recruits. Several different surveys were carried out at the same time using the same survey office, thus masking the group identity of respondents visiting the survey office. We compensated recruits for their time and transport costs (US $3.00), and, at the return visit, recruitment efforts (US $1.00 per successfully recruited eligible peer). For FSW under the age of 18 who indicated that they were forced into sex work, procedures were in place to refer such persons to relevant service providers.

Results

Population characteristics

Table 2 displays select characteristics of FSW in Kampala. Almost all (95%) were of Ugandan nationality and 44% were 15–24 years old (median age: 26 years). Most (83%) FSW have ever been to school, and 51% had completed at least 7 years of schooling, equivalent to primary school education. Most (66%) FSW had ever been married and most had had at least one pregnancy in their lifetime (91%). The median number of pregnancies was 3 (IQR: 1–4), and 25% had ever had an abortion. Family planning use was relatively common, with 67% using a modern method, including injectables (34%) and oral contraceptives (31%).
Table 2

Characteristics of female sex workers in Kampala, Uganda, 2008–09, N = 942

Characteristica

n

Sample %

Weighted % (95% CI)

Age, years

 15–19

109

11.6

12.6 (9.9–15.6)

 20–24

292

31.0

32.4 (28.4–36.1)

 25–29

248

26.3

25.5 (22.3–28.8)

 30+

293

31.1

29.6 (25.8–33.6)

Nationality

 Ugandan

897

95.7

95.4 (93.7–96.9)

 Not Ugandan

40

4.3

4.6 (3.0–6.3)

Schooling, years

 None

149

16.2

17.3 (14.3–20.3)

 1–3

103

11.2

12.0 (9.1–14.7)

 4–6

185

20.1

19.7 (16.8–23.0)

 7+

482

52.6

51.0 (46.9–55.4)

Marital status

 Never married

301

32.2

33.8 (29.9–37.9)

 Cohabitating

210

22.5

22.3 (19.3–25.6)

 Married (mono)

55

5.9

5.9 (4.2–7.5)

 Married (poly)

141

15.1

13.9 (11.6–16.5)

 Div/sep/widb

228

24.4

24.1 (20.7–27.4)

Ever been married

 Yes

634

67.8

66.2 (62.2–70.1)

 No

301

32.2

33.8 (30.0–37.8)

Pregnancies in life, number

 0

74

8.1

9.4 (6.7–12.6)

 1

174

19.0

21.3 (17.9–24.5)

 2

173

18.9

18.3 (15.9–21.8)

 3

164

17.9

17.4 (14.5–19.8)

 4

134

14.6

14.6 (11.8–17.1)

 5+

196

21.4

19.1 (16.1–22.3)

Ever aborted a pregnancy

 Yes

257

27.5

24.9 (21.5–28.6)

 Noc

679

72.5

75.1 (71.5–78.5)

Use of modern family planninge

 Yes

624

67.0

64.7 (60.3–68.3)

 No

307

33.0

35.3 (31.7–39.7)

Steady male sex partners last 30 days, number

 0

168

18.2

18.5 (15.4–21.8)

 1

288

31.1

31.1 (27.2–35.0)

 2

194

21.0

20.5 (17.2–23.3)

 3+

275

29.7

29.9 (26.5–34.0)

Sex work main income

 Yes

808

88.4

87.1 (84.5–89.8)

 No

106

11.6

12.9 (10.2–15.4)

Occupation other than sex work

 No other work

557

59.6

57.2 (53.7–61.3)

 Other

113

12.1

13.5 (10.8–16.3)

 Self-employed

148

15.8

16.3 (13.5–19.1)

 Restaurant/bar

116

12.4

13.1 (10.1–15.7)

aFor each characteristic, the total sample size differs from 942 due to missing information

bDivorced, separated, widowed

cIncludes those who have never been pregnant

dFor each characteristic, the total sample size differs from 942 due to missing information

eOral contraceptives, intra-uterine device, or injection (depot provera)

Sex work characteristics

The median duration of sex work at time of survey participation was 3 years (IQR: 2–6); the median age of first selling sex was 22 years (IQR 18–26). For most (57%), sex work was the only available income. The median fee for sex was approximately US $3 (IQR $2–5). FSW meet their clients mostly (71%) on the street, and have sex with them mostly at their or someone else’s home (88%). Almost half (46%) of FSW have ever been forced to have sex, and 34% reported being raped in the last 30 days. Out of the times being raped (defined as being forced or threatened to be hurt to have vaginal or anal sex) in the last 30 days, 26% were by a customer, and 16% by security personnel or police. Some of these incidents were reported to the police (17%) and health care was sought (18%). Beatings by clients in the last 30 days were reported by 24% of FSW. Blackmail due to knowledge by someone of their sex work was low (16%). A small proportion (3%) ever sold sex to women. In the preceding 12 months, 14% of FSW had sold sex outside of Kampala.

HIV-related risk behaviors and perceptions

During the last sex act with a male client, two thirds (65%) used a condom and 14% used a lubricant; 11% reported that they were forced to have sex. Additionally, 9% reported to have taken illicit drugs prior to that sex act and half (49%) said they had drunk alcohol.

Lifetime alcohol use was reported by 77%, with 29% had been drinking every day over the last 30 days with an average number of 2.9 drinks the last time they had consumed alcohol. Drug use, including sniffing glue or petrol, or consuming marijuana, khat (a plant-based mild stimulant), cocaine, or other drugs was reported by 24%. A lifetime history of injecting drug use was reported by 4%. Half (49%) of FSW had sex with 8 or more men (including intimate partners) over the preceding 30 days. The median proportion of condom use for all male partners in the last 30 days was 60% (IQR 24–88%), with 18% of FSW having used condoms 100% of the time. Approximately one fifth (19%) of sex workers ever had anal sex and 15% had anal sex in the last 30 days; among these, the median number of anal sex acts in the last 30 days was 3. Among FSW who ever had anal sex, 30% felt it was less important to use condoms for anal sex compared to vaginal sex. Only 15% thought anal sex put them at higher risk of contracting HIV than vaginal sex.

HIV services uptake

The majority (53%) of FSW had previously tested for HIV, and 16% had tested in the preceding 12 months. Among those who ever tested for HIV, 92% reportedly tested negative and 8% told their HIV (negative or positive) status to their sex partners; 89% did not reveal their HIV status to anyone. Of those who reported having tested negative, 16% were found to be HIV-positive. Among those who were known HIV-positive, 52% said that they were on anti-retroviral treatment (ART).

HIV infection

Of 942 participants, 323 tested HIV-positive, yielding a weighted HIV prevalence of 33.0% (95% CI: 29.7%–36.6%). Table 3 shows the distribution of HIV infection by select characteristics. In this bivariate analysis, factors associated with HIV serostatus included age, marital status, number of pregnancies, self-reported HIV status, duration of selling sex, self-reported clinical signs and symptoms of STIs, and a history of previous HIV testing.
Table 3

Association between sociodemographic or behavioral characteristics of female sex workers and HIV infection in Kampala, Uganda

Characteristicd

n

HIV+

Weighted %

P-valuee

Prevalence Ratio (95% CI)

Age, years

 15–19

109

11

10.8

<0.01

1.00 (Referent)

 20–24

291

65

21.9

 

2.03 (1.04–3.95)

 25–29

246

88

35.9

 

3.33 (1.74–6.40)

 30+

293

157

50.7

 

4.71 (2.50–8.89)

Nationality

 Ugandan

894

304

33.0

0.99

1.00 (Referent)

 Not Ugandan

40

16

33.1

 

1.00 (0.61–1.65)

Religion

     

 Catholic

362

131

35.4

0.41

1.00 (Referent)

 Protestant

262

86

30.9

 

0.87 (0.68–1.13)

 Born Again

47

17

37.0

 

1.05 (0.64–1.71)

 Moslim

232

71

28.5

 

0.81 (0.61–1.07)

 Other

30

13

42.9

 

1.21 (0.74–1.98)

Schooling, years

 0–3

251

107

42.1

<0.01

1.00 (Referent)

 4–6

185

70

36.6

 

0.87 (0.66–1.14)

 7+

482

137

26.4

 

0.63 (0.49–0.80)

Sex work main income

 Yes

806

286

35.1

<0.01

1.68 (1.13–2.51)

 No

106

28

20.9

 

1.00 (Referent)

Occupation other than sex work

 No other work

557

201

36.9

<0.01

1.00 (Referent)

 Other

112

26

19.2

 

0.52 (0.34–0.79)

 Self-employed

147

53

32.3

 

0.88 (0.66–1.17)

 Restaurant/bar

115

36

26.7

 

0.72 (0.50–1.05)

Marital status

 Never married

300

71

23.4

<0.01

1.02 (0.57–1.83)

 Cohabitating

210

83

37.8

 

1.64 (0.93–2.91)

 Married (mono)

53

14

23.0

 

1.00 (Referent)

 Married (poly)

141

46

36.5

 

1.59 (0.88–2.86)

 Div/sep/wid

228

105

41.9

 

1.84 (1.04–3.20)

Pregnancies in life, number

 0

74

4

3.6

<0.01

1.00 (Referent)

 1

173

36

21.0

 

5.88 (2.00–17.3)

 2

173

61

33.4

 

9.34 (3.26–26.8)

 3

162

65

44.8

 

12.5 (4.40–35.5)

 4

134

60

46.5

 

13.0 (4.56–36.9)

 5+

196

86

38.7

 

10.8 (3.81–30.7)

Ever aborted

 Yes

231

60

27.4

0.07

0.79 (0.60–1.03)

 Noh

702

260

34.7

 

1.00 (Referent)

Steady male sex partners last 30 days, number

 0

167

68

40.4

0.18

1.00 (Referent)

 1

288

105

33.3

 

0.82 (0.62–1.09)

 2

192

57

28.0

 

0.69 (0.50–0.96)

 3+

275

86

31.7

 

0.79 (0.59–1.05)

Alcohol before last sex

 Yes

480

173

35.0

0.25

1.13 (0.92–1.40)

 No

455

147

31.0

 

1.00 (Referent)

Drugs for pleasure

 Yes

217

71

34.0

0.71

1.05 (0.82–1.34)

 No

708

244

32.4

 

1.00 (Referent)

Inject drugs

 Yes

42

16

40.6

0.38

1.24 (0.80–1.91)

 Noi

886

303

32.8

 

1.00 (Referent)

Years selling sex, number

 < 1

13

4

32.7

0.02

1.00 (Referent)

 1

148

34

21.3

 

0.65 (0.26–1.62)

 2

179

58

31.4

 

0.96 (0.40–2.31)

 3

177

62

32.3

 

0.99 (0.41–2.36)

 4

74

23

33.6

 

1.03 (0.41–2.57)

 5+

335

136

39.9

 

1.22 (0.52–2.87)

Condom use during last sex with a male client

 Yes

619

208

32.0

0.50

0.93 (0.75–1.15)

 No

315

111

34.6

 

1.00 (Referent)

Ever used condom

 Yes

872

301

33.3

0.54

1.00 (Referent)

 No

56

16

28.9

 

0.87 (0.53–1.41)

Ever used lubricant

 Yes

282

90

30.8

0.44

1.00 (Referent)

 No

648

228

33.6

 

1.09 (0.87–1.38)

Violence due to selling sex

     

 Yes

433

163

35.9

0.13

1.17 (0.95–1.45)

 No

498

155

30.5

 

1.00 (Referent)

Raped in last 30 days, number

 0c

619

206

32.4

0.38

1.00 (Referent)

 1

93

36

36.2

 

1.12 (0.77–1.62)

 2

81

25

27.3

 

0.84 (0.57–1.26)

 3

43

20

47.9

 

1.48 (1.02–2.15)

 4+

91

28

31.6

 

0.97 (0.68–1.40)

Raped by customer in last 30 days, number

 0j

682

228

32.4

0.94

1.00 (Referent)

 1

124

40

30.0

 

0.92 (0.65–1.32)

 2

71

26

36.1

 

1.11 (0.77–1.60)

 3

25

9

31.9

 

0.98 (0.51–1.91)

 4+

23

8

38.4

 

1.18 (0.64–2.20)

Sex partners, total number in last 30 days

 0–12

221

71

29.9

0.59

1.00 (Referent)

 13–24

234

75

31.8

 

1.06 (0.78–1.45)

 25–58

248

87

36.2

 

1.21 (0.90–1.62)

 59+

236

88

34.4

 

1.15 (0.85–1.55)

Male partners in life, number

 1–24

201

58

25.1

0.08

1.00 (Referent)

 25–64

212

70

34.6

 

1.38 (0.98–1.93)

 65–194

211

76

33.1

 

1.32 (0.94–1.86)

 195+

209

73

38.3

 

1.53 (1.09–2.13)

Vaginal discharge/burning in last 12 months

 Yes

644

233

35.6

0.03

1.31 (1.02–1.68)

 No

280

82

27.2

 

1.00 (Referent)

Genital ulcer/sore in last 12 months

 Yes

520

211

39.6

<0.01

1.58 (1.26–1.98)

 No

409

107

25.0

 

1.00 (Referent)

Anal ulcer/sore in last 12 months

 Yes

204

82

41.0

0.03

1.32 (1.05–1.65)

 No

717

235

31.1

 

1.00 (Referent)

Anal discharge in last 12 months

 Yes

124

42

33.8

0.79

1.04 (0.77–1.41)

 No

791

270

32.4

 

1.00 (Referent)

Anal warts in last 12 months

 Yes

132

65

49.7

<0.01

1.65 (1.32–2.08)

 No

783

247

30.0

 

1.00 (Referent)

Ever had anal sex

 Yes

171

62

36.2

0.38

1.12 (0.87–1.45)

 No

758

256

32.2

 

1.00 (Referent)

Ever had HIV test

 Yes

503

120

23.0

<0.01

1.00 (Referent)

 No

430

199

44.6

 

1.93 (1.55–2.41)

Had steady male sex partners last 30 days

 Yes

755

248

31.4

0.06

0.78 (0.61–0.99)

 No

167

68

40.4

 

1.00 (Referent)

dFor each characteristic, the total sample size differs from 942 due to missing information

eChi-squared test of independence between the characteristic and HIV positivity

fFor each characteristic, the total sample size differs from 942 due to missing information

gChi-squared test of independence between the characteristic and HIV positivity

hIncludes those who have never been pregnant

iInlcudes those who have never used drugs

jIncludes those who have never been raped

In the adjusted analysis (Table 4), factors independently associated with HIV positivity included increasing age, fewer years of schooling, having no other work than sex work, increasing numbers of pregnancies, never having had an abortion, never having had an HIV test, and a history of STI-related symptoms in the last 12 months. Further, testing positive for N. gonorrhea (vaginal or rectal), and testing positive for any STI was associated with being HIV-infected (Table 5).
Table 4

Factors associated with HIV infection among female sex workers, Kampala, Uganda, 2008–09

Characteristic

n

HIV+

Weighted %

Adjusted PR (95% CI)a

Age, years

 15–19

109

11

10.8

1.00 (Referent)

 20–24

291

65

21.9

1.27 (0.74–2.19)

 25–29

246

88

35.9

1.64 (0.92–2.90)

 30+

293

157

50.7

2.13 (1.19–3.80)

Schooling, years

 1–3

251

107

42.1

1.00 (Referent)

 4–6

185

70

36.6

0.82 (0.63–1.07)

 7+

482

137

26.4

0.67 (0.54–0.84)

Occupation other than sex work

 No other work

557

201

36.9

1.00 (Referent)

 Other

112

26

19.2

0.55 (0.37–0.81)

 Self-employed

147

53

32.3

0.74 (0.55–0.99)

 Restaurant/bar

115

36

26.7

0.80 (0.60–1.08)

Pregnancies in life, number

 0

74

4

3.6

1.00 (Referent)

 1

173

36

21.0

7.24 (2.14–24.5)

 2

173

61

33.4

9.43 (2.75–32.3)

 3

162

65

44.8

11.7 (3.38–40.7)

 4

134

60

46.5

10.8 (3.06–37.9)

 5+

196

86

38.7

8.23 (2.29–29.6)

Ever aborted

 Yes

231

60

27.4

0.76 (0.59–0.97)

 No

702

260

34.7

1.00 (Referent)

Genital ulcer/sore in last 12 months

 Yes

520

211

39.6

1.39 (1.13–1.71)

 No

409

107

25.0

1.00 (Referent)

Anal warts in last 12 months

 Yes

132

65

49.7

1.43 (1.14–1.80)

 No

783

247

30.0

1.00 (Referent)

Ever had HIV test

 Yes

503

120

23.0

1.00 (Referent)

 No

430

199

44.6

1.71 (1.39–2.10)

NOTE: PR, prevalence ratio

aThe multivariable model included all of the factors in this table. The sample size for the model was 861 female sex workers

Table 5

Association between other sexually transmitted infections and HIV infection among female sex workers, Kampala, Uganda, 2008–09

STIa

n

HIV+

Weighted %

Adjusted PR (95% CI)b

Syphilis

 Positive

193

81

38.9

1.22 (0.98–1.52)

 Negative

745

239

31.2

1.00 (Referent)

Chlamydia trachomatis vaginal

 Positive

39

8

16.9

0.90 (0.54–1.51)

 Negative

683

239

33.9

1.00 (Referent)

Chlamydia trachomatis rectal

    

 Positive

22

4

13.2

0.80 (0.30–2.10)

 Negative

706

246

33.8

1.00 (Referent)

Neisseria gonorrhoeae vaginal

 Positive

55

29

49.2

1.64 (1.27–2.10)

 Negative

667

218

31.8

1.00 (Referent)

Neisseria gonorrhoeae rectal

 Positive

27

16

58.9

1.96 (1.44–2.66)

 Negative

701

234

32.4

1.00 (Referent)

Trichomonas vaginalis

    

 Positive

73

26

32.5

1.00 (0.70–1.42)

 Negative

773

263

33.3

1.00 (Referent)

Bacterial vaginosis

 Positive

318

128

39.9

1.19 (0.98–1.46)

 Negative

526

160

29.0

1.00 (Referent)

Any STI

 Positive

511

197

37.2

1.28 (1.05–1.56)

 Negative

431

126

27.9

1.00 (Referent)

NOTE: STI, sexually transmitted infection; PR, prevalence ratio

aFor each STI, the total sample size differs from 942 due to missing information

bAdjusted for age, schooling, occupation other than sex work, number of pregnancies in life, ever aborted, genital ulcer/sore in last 12 months, anal warts in last 12 months, and ever had an HIV test

Discussion

Main finding

We report here on the first RDS survey among FSW in Kampala, Uganda, using a sampling design that allows us to generate population estimates. The estimated HIV prevalence of 33% suggests an alarming HIV burden among FSW, more than three times that among Kampala women in general (9.5% [9]). This estimate is similar to that reported as the baseline in a cohort study in Kampala conducted at approximately the same time [10]. Our population-based survey, using a probability sample, can serve as a baseline estimate for subsequent surveys in this population in Kampala. The median duration of sex work at time of survey participation was just 3 years. The much higher HIV prevalence in FSW compared to Kampala women in general together with the relatively short median duration of sex work would suggest a very high HIV incidence, although our cross-sectional survey design did not allow us to estimate HIV incidence. In adjusted analysis, increasing age, low levels of schooling, having no other work, lack of ever having tested for HIV, self-reported genital ulcers or sores, as well as testing positive for N. gonorrhea or any STI were associated with being HIV-infected.

Limitations and strengths

Our survey’s limitations mostly relate to the RDS design, which may not have been able to reach isolated sex workers with few or no peer connections. Also, as in all surveys, all behavioral parameters evaluated here are based on self-reported interview data, which are subject to reporting bias. The use of ACASI in our survey likely can be seen as a strength, as it facilitates the reporting of sensitive behaviors [2022], augmented by the objective biomarker collection using blood as well as vaginal and rectal swabs. The survey’s main strength likely lies in its sampling design using RDS. Previous FSW surveys used convenience sampling [10], making this the first representative sex worker survey in Kampala.

Implications for policy and program

Our survey’s findings call for targeted strengthening of programs promoting condom use (among both sex workers and clients), regular HIV and STI testing, pre-exposure prophylaxis, and prompt treatment among FSW. Although almost all FSW reported some condom use, about one third did not use condoms at their last commercial sex act, an estimate that may further suffer from reporting bias despite the ACASI-based interview format. Consistent and correct condom use is highly effective against HIV and STI transmission and needs to be a cornerstone in sex work–based HIV control efforts. [5] Only one in seven Kampala FSW had tested for HIV in the preceding 12 months. UN and donor agencies recommend universal access to comprehensive HIV services for sex workers as a central component of policies related to sex work. [5] Regular HIV testing, at least annually, is warranted for a population at such high risk for HIV infection. [5] Our observation of self-reported anal sex by approximately one in five sex workers suggests that prevention and counseling services in Uganda need to address this high-risk behavior. Barriers to HIV testing, counseling, and related health care for sex workers, described both in Uganda and elsewhere in Africa and fueled by criminalization and stigma [23], need to be overcome.

Screening for STI is not widely available for sex workers in Uganda, is often based on syndromic management and rarely includes management of rectal STI. Our survey confirms the presence of common STI among FSW based on both self-report of genital and anal ulcers and biological testing for trichomoniasis, syphilis, chlamydia, and gonorrhea. In addition to the disease burden they inflict by themselves, STI increase the risk of HIV transmission. [24, 25] Regular screening for STI or – in its absence – presumptive treatment as recommended by UNAIDS [5] should therefore be considered through public or non-profit programs tailored for FSW in order to minimize exposure to stigma, along with increased investment in laboratory testing capacity for common STI.

Added to the low rate of HIV testing is the equally low reported rate of disclosing their HIV test result to their sex partners and the uptake of ART among HIV-positive FSW. Recent guidance by the World Health Organization [26] suggests that all FSW, and indeed all key populations, should take antiretrovirals either for treatment (HIV-infected, regardless of CD4+ T-cell count) or for pre-exposure prophylaxis (HIV-uninfected). This implies not only frequent HIV testing and self-disclosure by sex workers but also increased efforts by health care providers to facilitate access, reduce stigma, and counsel for HIV status disclosure to their partners.

Of grave concern is the frequent experience of gender-based violence (GBV) among FSW, including rape and beatings. UNAIDS’ vision of zero new HIV infections, zero discrimination, and zero AIDS-related deaths also includes zero tolerance for GBV [27]. GBV against FSW are well documented in Uganda [28] and elsewhere in the region. [15, 29] Decriminalization of sex work as well as programs to eliminate and to provide redress for violence and discrimination should be put in place.

The high burden of HIV disease among sex workers in Kampala suggests that the goal of 90%-90%-90% targets for testing, treatment and viral load suppression and the vision of an AIDS-free generation will not be achieved unless the HIV epidemic in this key population is contained. In addition to the use of antiretrovirals, recommendations for controlling sex work–related HIV transmission include decriminalization of sex work, which may also reduce stigma and violence; improved access to HIV testing, STI screening, and other prevention and treatment services; as well as peer education and peer-led interventions such as condom negotiation skills and other health promotion measures [5, 30]. To achieve this, community-based sex worker organizations in Uganda need to be seen as essential partners in combating sex work–related HIV and STIs.

The effectiveness of HIV control and other public health measures in hidden populations such as sex workers requires regular monitoring of endpoints such as the incidence or prevalence of HIV, estimates of viral load suppression, and perhaps testing for antiretrovirals. In order to evaluate and inform control programs, population-based surveys using rigorous sampling designs need to be conducted regularly given the likely high HIV incidence, geographic and occupational mobility, and levels of access to and uptake of HIV services that may not mirror that in the general population.

Conclusions

FSW in Kampala are at an extremely high risk for HIV infection and violence. To achieve the laudable and ambitious goal of zero new infections, key populations such as sex workers need to be included in all aspects of HIV prevention, care, and treatment programs. Uganda’s national AIDS control strategy needs to recognize the HIV epidemic in sex workers as a public health crisis that will not cede without intensified public health efforts.

Footnotes
1

By 2020, 90% of all people living with HIV will know their HIV status; 90% of all people with diagnosed

HIV infection will receive sustained antiretroviral therapy; and 90% of all people receiving antiretroviral therapy will have viral suppression.

 

Abbreviations

ACASI: 

Audio computer assisted self interview

AIDS: 

Acquired immunodeficiency syndrome

ART: 

Antiretroviral therapy

CD: 

Compact disc

CDC: 

Centers for Disease Control and Prevention

CI: 

Confidence intervals

CT: 

Chlamydia trachomatis

FSW: 

Female sex worker(s)

GBV: 

Gender-based violence

HIV: 

Human immunodeficiency virus

IQR: 

Interquartile range

MP3: 

MPEG-1 and/or MPEG-2 Audio Layer III

NG: 

Neisseria gonorrhea

RDS : 

Respondent driven sampling

SAS: 

Statistical Analysis System

STD: 

Sexually transmitted diseases

STI: 

Sexually transmitted infections

TP: 

Treponema pallidum

UK: 

United Kingdom

UN: 

United Nations

UNAIDS: 

Joint United Nations Programme on AIDS

USA: 

United States of America

Declarations

Acknowledgement

The authors thank the Crane Survey staff and survey respondents for their work and participation in this survey. The Crane Survey group includes Herbert Kiyingi, Enos Sande, Geoffrey Musinguzi, David Serwadda, Wolfgang Hladik, Alex Opio, and Michael Muyonga.

Funding

This project has been supported by the President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention under the terms of cooperative agreement 5U2GPS000971.

Availability of data and materials

Data are available upon request to the first author for third party researchers meeting the criteria for access to confidential data.

Authors’ contributions

WH, JB, and AB wrote the manuscript. AB performed the data analysis. All authors read, reviewed, commented and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Both the main survey protocol and the formative research protocol were approved by the Uganda Virus Research Institute’s institutional review board, the Uganda National Council of Science and Technology, and was determined as a non-research/surveillance activity by the CDC. In order to protect anonymity, participants provided verbal informed consent which was documented by survey staff. No parental consent was sought. The IRB approved protocol allowed us to consent the candidate participants without parental consent because sex workers were deemed emancipated minors who cater for their own livelihoods, as per Uganda National Council of Science and Technology guidelines.

Disclaimer

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the U.S. Department of Health and Human Services.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Division of Global HIV and TB, Center for Global Health, Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, USA
(2)
Makerere University College of Health Sciences, School of Public Health, Kampala, Uganda
(3)
Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
(4)
WONETHA - Women’s Organisation Network for Human Rights Advocacy, Kampala, Uganda

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