Mobility study of young women who exchange sex for money or commodities using Google Maps and qualitative methods in Kampala, Uganda.

Mobility study of young women who exchange sex for money or commodities using Google Maps and qualitative methods in Kampala, Uganda.
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DOI:
10.1136/bmjopen-2020-043078
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发表时间:
2021-05-19
期刊:
影响因子:
2.9
通讯作者:
Seeley J
Seeley J
中科院分区:
医学3区
文献类型:
--
作者:
King R;Muhanguzi E;Nakitto M;Mirembe M;Kasujja FX;Bagiire D;Seeley J

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我们的目的是在一项随机对照试验中评估从事性工作的年轻女性的流动模式和高流动性的原因,以评估流动性如何阻碍获得卫生服务并增加高度脆弱人群的艾滋病毒风险。参与者是从乌干达坎帕拉的一家诊所招募的,该诊所为艾滋病毒感染高危妇女设立。在艾滋病毒高流行率和高生育率的国家,少女和年轻妇女为金钱和/或商品从事性活动的风险特别大。高流动性增加了感染艾滋病毒的风险。女性参与者如果年龄在15-24岁之间,艾滋病毒阴性并从事性工作,则有资格参加父母研究。在这项子研究中,对14名性工作者(6名艾滋病毒阳性,8名艾滋病毒阴性),6名卫生工作者/决策者,3名同伴教育者,5名“女王母亲”和6名男性伴侣进行了34次定性访谈。我们还就流动性问题与高危妇女、男性伴侣、卫生工作者和性工作者管理人员进行了34次访谈。主题包括:距离、频率和流动原因。我们使用Python软件来分析地图数据。访谈发现,在深入的叙述中,缺乏教育和就业机会、暴力、缺乏代理、社会、性和家庭支持网络以及贫穷是年轻性工作者流动性高的复杂原因。处于高风险中的年轻妇女移动的很多。流动的原因影响获得和保留保健服务和研究活动。改善护理保留的战略应该是认知性的,并适合流动模式。NCT 03203200。
We aimed to assess mobility patterns and reasons for high mobility among young women engaged in sex work within a randomised controlled trial to gauge how mobility may hinder access to health services and enhance HIV risk in a highly vulnerable population. Participants were recruited from a clinic in Kampala, Uganda set up for women at high risk of HIV infection. Adolescent girls and young women engaged in sex for money and/or commodities are at particular risk in countries with high HIV prevalence and high fertility rates. High mobility increases exposure to HIV risk. Women participants were eligible for the parent study if aged 15–24 years, HIV negative and engaged in sex work. For this substudy, 34 qualitative interviews were held with 14 sex workers (6 HIV positive, 8 HIV negative), 6 health worker/policy makers, 3 peer educators, 5 ‘queen mothers’ and 6 male partners Participants used Google Maps to identify work venues at 12-month and 18-month study visits. We also conducted 34 interviews on mobility with: high-risk women, male partners, health workers and sex-worker managers. Topics included: distance, frequency and reasons for mobility. We used Python software to analyse mapping data. Interviews found in depth narratives describing lack of education and employment opportunities, violence, lack of agency, social, sexual and familial support networks and poverty as a complex web of reasons for high mobility among young sex workers. Young women at high risk are highly mobile. Reasons for mobility impact access and retention to health services and research activities. Strategies to improve retention in care should be cognisant and tailored to suit mobility patterns. NCT03203200.
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