| Literature DB >> 29543858 |
Tarisai Chiyaka1, Phillis Mushati1, Bernadette Hensen2, Sungai Chabata1, James R Hargreaves2, Sian Floyd2, Isolde J Birdthistle2, Frances M Cowan1,3, Joanna R Busza2.
Abstract
Young women (aged 15-24) who exchange sex for money or other support are among the highest risk groups for HIV acquisition, particularly in high prevalence settings. To prepare for introduction and evaluation of the DREAMS programme in Zimbabwe, which provides biomedical and social interventions to reduce adolescent girls' and young women's HIV vulnerability, we conducted a rapid needs assessment in 6 towns using a "social mapping" approach. In each site, we talked to adult sex workers and other key informants to identify locations where young women sell sex, followed by direct observation, group discussions and interviews. We collected data on socio-demographic characteristics of young women who sell sex, the structure and organisation of their sexual exchanges, interactions with each other and adult sex workers, and engagement with health services. Over a two-week period, we developed a "social map" for each study site, identifying similarities and differences across contexts and their implications for programming and research. Similarities include the concentration of younger women in street-based venues in town centres, their conflict with older sex workers due to competition for clients and acceptance of lower payments, and reluctance to attend existing services. Key differences were found in the 4 university towns included in our sample, where female students participate in diverse forms of sexual exchange but do not identify themselves as selling sex. In smaller towns where illegal gold panning or trucking routes were found, young women migrated in from surrounding rural areas specifically to sell sex. Young women who sell sex are different from each other, and do not work with or attend the same services as adult sex workers. Our findings are being used to inform appropriate intervention activities targeting these vulnerable young women, and to identify effective strategies for recruiting them into the DREAMS process and impact evaluations.Entities:
Mesh:
Year: 2018 PMID: 29543858 PMCID: PMC5854392 DOI: 10.1371/journal.pone.0194301
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Data collection methods.
| Method | Sample | Type of Data Collected |
|---|---|---|
| Direct Observation | Visits to bars and entertainment areas. 5 nights and 5 days in Bulawayo and Mutare; 4 nights and 4 days in Karoi, Kwekwe, Zvishavane and Chinhoyi. |
Numbers of sex workers and age distribution. Types and numbers of male clients. Hours of busiest activity. |
| Group Discussions | 7 groups discussions with a total of 80 YWSS |
Where YWSS work in the local community Differences between YWSS and adult FSW Social interactions between YWSS YWSS health challenges Use of health services Willingness to engage in research Willingness to participate in DREAMS |
| Informal Interviews | YWSS |
How YWSS start selling sex Organisation and prices of sex work Differences between YWSS and FSW Relationship to older FSW How clients are solicited Where sex takes place Fees charged Other locations where YWSS can be found |
Sample YWSS venue observation matrix.
| Sex Work venues/ Typologies | YWSS numbers | |||
|---|---|---|---|---|
| Geographic Location | Bars/Nightclubs | Markets/Streets | Truck stops/ Highway | |
| A bar | Many YWSS (18 to mid-20s) observed standing in pairs by upmarket retail stores in the CBD. Sex workers of all ages soliciting in the street. | No haulage truck stops in CBD. 5km from CBD there is 1 truck stop, BBQ grills, bottle store and butchery. | Over 50 young women selling sex observed | |
| Area has 1 bar and large supermarket/ butchery. | No truck stop on the farm | 2 sex workers | ||
| 4 bars and 1 nightclub at a shopping centre. | Street SW mainly young. | High density transport hub—taxis, minbuses, long distance buses. | About 30 young women selling sex | |
| Trucks also park at the outskirt entertainment areas and attract YWSS. | About 5 informal key informant interviews |
Fig 1An illustration showing the geographic and sociodemographic data compiled at each site during social mapping.