Ellen Jonathan M, Greenberg Lauren, Willard Nancy, Korelitz James, Kapogiannis Bill G, Monte Dina, Boyer Cherrie B, Harper Gary W, Henry-Reid Lisa M, Friedman Lawrence B, Gonin René
Department of Pediatrics, School of Medicine, All Children's Hospital, Johns Hopkins Medicine, St Petersburg, Florida.
Health Studies Sector, Westat, Rockville, Maryland.
JAMA Pediatr. 2015 Mar;169(3):256-63. doi: 10.1001/jamapediatrics.2014.3010.
With the emphasis on structural-level interventions that target social determinants of human immunodeficiency virus (HIV) transmission to curb the HIV epidemic, there is a need to develop evaluation models that can detect changes in individual factors associated with HIV-related structural changes.
To describe whether structural changes developed and achieved by community coalitions are associated with an effect on individual factors associated with the risk of contracting HIV.
DESIGN, SETTING, AND PARTICIPANTS: In this serial cross-sectional survey design, data were collected from 8 cities during 4 rounds of annual surveys from March 13, 2007, through July 29, 2010. Study recruitment took place at venues where the population of focus was known to congregate, such as clubs, bars, community centers, and low-income housing. The convenience sample of at-risk youth (persons aged 12-24 years) included 5337 individuals approached about the survey and 3142 (58.9%) who were screened for eligibility. Of the 2607 eligible participants, 2559 (98.2%) ultimately agreed to participate.
Achievement of locally identified structural changes that targeted public and private entities (eg, federal agencies, homeless shelters, and school systems) with the goal of fostering changes in policy and practice to ultimately facilitate positive behavioral changes aimed at preventing HIV.
Number of sexual partners, partner characteristics, condom use, and history of sexually transmitted infections and HIV testing.
Exposure to structural changes was not statistically significantly associated with any of the outcome measures, although some results were in the direction of a positive structural change effect (eg, a 10-unit increase in a structural change score had an odds ratio of 0.88 [95% CI, 0.76-1.03; P = .11] for having an older sexual partner and an odds ratio of 0.91 [95% CI, 0.60-1.39; P = .39] for using a condom half the time or less with a casual partner).
This study evaluated a broad representation of at-risk individuals and assessed the effect of numerous structural changes related to various HIV risk factors. No structural changes as measured in this study were associated with a statistically significant reduction in risk behaviors. These null findings underscore the need for a long-term approach in evaluating structural interventions and the development of more nuanced methods of quantifying and comparing structural-change initiatives and determining the appropriate strategies for evaluating effect.
随着重点转向针对人类免疫缺陷病毒(HIV)传播的社会决定因素的结构性干预措施以遏制HIV流行,有必要开发能够检测与HIV相关结构变化相关的个体因素变化的评估模型。
描述社区联盟制定并实现的结构变化是否与对与感染HIV风险相关的个体因素产生影响有关。
设计、背景和参与者:在这项系列横断面调查设计中,于2007年3月13日至2010年7月29日期间的4轮年度调查中从8个城市收集数据。研究招募在已知重点人群聚集的场所进行,如俱乐部、酒吧、社区中心和低收入住房。处于风险中的青年(12 - 24岁人群)的便利样本包括5337名被询问调查的个体,以及3142名(58.9%)接受资格筛查的个体。在2607名符合条件的参与者中,2559名(98.2%)最终同意参与。
实现针对公共和私人实体(如联邦机构、无家可归者收容所和学校系统)的本地确定的结构变化,目标是促进政策和实践的改变,最终促成旨在预防HIV的积极行为改变。
性伴侣数量、伴侣特征、避孕套使用情况以及性传播感染和HIV检测史。
尽管一些结果显示出结构变化有积极影响的趋势(例如,结构变化得分增加10个单位,拥有年龄较大性伴侣的优势比为0.88 [95% CI,0.76 - 1.03;P = 0.11],与偶然伴侣使用避孕套的时间为一半或更少的优势比为0.91 [95% CI,0.60 - 1.39;P = 0.39]),但接触结构变化与任何结局指标在统计学上均无显著关联。
本研究评估了广泛的高危个体代表性样本,并评估了与各种HIV风险因素相关的众多结构变化的影响。本研究中所测量的结构变化与风险行为的统计学显著降低均无关联。这些阴性结果强调了在评估结构性干预措施时需要采用长期方法,以及开发更细致入微的方法来量化和比较结构变化举措并确定评估效果的适当策略。