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Harnessing the power of text messaging to reduce HIV incidence in adolescent males across the United States

Harnessing the power of text messaging to reduce HIV incidence in adolescent males across the United States
利用短信的力量降低美国青少年男性的艾滋病毒发病率
批准号:
10494052
负责人:
Michele L. Ybarra
金额:
$181.5万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-23 至 2026-08-31

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中文摘要
翻译
性少数族裔男性青年面临着感染艾滋病毒的不同风险。差距就更明显了 非洲裔美国人/黑人和西班牙裔性少数男性青年,他们分别占新艾滋病毒的51%和25% 分别是感染。生活在南部各州和农村地区的年轻人也面临着更高的艾滋病毒感染风险 收购。因此,获得艾滋病毒检测和咨询仍然是预防的关键组成部分, 将这些服务有效地扩大到性少数群体男性青年是一项优先事项。 短信的广泛采用为年轻人提供了新的机会,让他们走进社会中年轻人所在的地方- 在人口统计上不同的群体,克服了传统干预措施的结构性挑战。此外, 能够随时随地访问敏感内容,为年轻人提供了安全的空间 参与到内容中来,这对那些没有被淘汰的人来说很重要。同样重要的是,评论表明 通过短信传递的程序可能会影响复杂的行为变化,包括 性少数族裔青春期男孩。因此,我们有机会利用这一权力并达成该文本。 消息传递能够在全国范围内向不同的青年群体提供艾滋病毒预防计划。 为此,我们建议测试#GrowingUpGuy(#Guy)对新的艾滋病毒感染的影响。 全美13-20岁的性少数族裔男性青年。#Guy将改编自 研究小组之前开发的基于短信的艾滋病毒预防/健康性行为计划是在 在全国范围内为性少数青少年提供服务。鉴于美国艾滋病毒感染的流行病学情况,我们计划 以13-20岁的年轻人为目标。由于缺乏针对年轻人的无障碍项目,我们的 招聘工作将把重点放在18岁及以下的人。样本多样性将是 确保使用招聘目标和我们多年来制定和完善的复杂招生战略 我们的干预努力使一半的人自我认同为黑人/非裔美国人、拉丁裔和/或混血儿 种族;至少20%的人将生活在农村地区或南部州。具体来说,我们的目标是: 具体目标1:最终确定GrowingUpGuy(#Guy)干预措施和性活跃方案, 艾滋病病毒阴性、顺性、性少数族裔男孩和20岁以下的美国男子。 具体目标1a。改编之前的干预内容以创建GrowingUpGuy(#Guy),一个突出的, 通过技术手段提供的艾滋病毒预防计划。 具体目标1b:最后确定干预方案,包括确认艾滋病毒检测结果。 具体目标2:测试#人干预对艾滋病毒发病率的影响(n=5,000)。我们的Main 结果衡量标准将是:1)快速确认的艾滋病毒发病率;以及自我报告的2)PrEP和PEP的使用,3) HIV状况,以及4)性传播疾病的数量。次要结果包括:1)关于以下方面的信息和2)动机 3)干预对心理健康指标的影响。
英文摘要
Sexual minority male youth face disparate risk for HIV acquisition. Disparities are even starker for African American/Black and Hispanic sexual minority male youth, who account for 51% and 25% of new HIV infections, respectively. Youth living in southern states and in rural settings also face elevated risk for HIV acquisition. As such, access to HIV testing and counseling remains a critical component of prevention, and effectively extending these services to sexual minority male youth is a priority. The wide adoption of text messaging provides novel opportunities to go where youth “are” across socio- demographically different groups, and overcomes structural challenges of traditional interventions. Moreover, being able to access sensitive content when and where one chooses facilitates safe spaces for youth to engage with the content, which is important for those who are not ‘out’. Importantly too, reviews suggest that programs delivered via text messaging can affect complex behavior change, including HIV testing among sexual minority adolescent boys. Thus, we have the opportunity to utilize the power and reach that text messaging affords to deliver an HIV prevention program across the country to a diverse population of youth. To this end, we propose to test the impact of #GrowingUpGuy (#GUY) on new HIV infections among 13-20 year-old sexual minority male youth across the United States. #GUY will be an adaptation of the research team’s previous text messaging-based HIV prevention/healthy sexuality programs developed at the national level for sexual minority youth. Given the epidemiology of HIV infections in the United States, we plan to target youth 13-20 years of age. Because of the lack of accessible programs for younger youth, our recruitment effort will place an emphasis on those 18 years of age and younger. Sample diversity will be ensured using recruitment targets and a complex enrollment strategy that we have developed and refined over our intervention endeavors such that half will self-identify as Black/African American, Latino, and/or of mixed race; and at least 20% will be living in a rural area or southern state. Specifically, we aim to: Specific Aim 1: Finalize the GrowingUpGuy (#GUY) intervention and protocol for sexually active, HIV negative, cisgender, sexual minority boys and men up to 20 years of age across the United States. Specific Aim 1a. Adapt previous intervention content to create GrowingUpGuy (#GUY), a salient, technologically delivered HIV prevention program. Specific Aim 1b: Finalize the intervention protocol, including confirmation of HIV test results. Specific Aim 2: Test the #GUY intervention for impact on HIV incidence (n=5,000). Our main outcome measures will be: 1) OraQuick-confirmed HIV incidence; and self-reported 2) PrEP and PEP use, 3) HIV status, and 4) number of STIs. Secondary outcomes include: 1) information about and 2) motivation for uptake of PrEP; and 3) the impact of the intervention on mental health indicators.
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