Horn Tim, Sherwood Jennifer, Remien Robert H, Nash Denis, Auerbach Judith D
Treatment Action Group, New York, NY, USA;
amfAR, the Foundation for AIDS Research, Washington, DC, USA.
J Int AIDS Soc. 2016 Nov 17;19(1):21263. doi: 10.7448/IAS.19.1.21263. eCollection 2016.
Every new HIV infection is preventable and every HIV-related death is avoidable. As many jurisdictions around the world endeavour to end HIV as an epidemic, missed HIV prevention and treatment opportunities must be regarded as public health emergencies, and efforts to quickly fill gaps in service provision for all people living with and vulnerable to HIV infection must be prioritized.
We present a novel, comprehensive, primary and secondary HIV prevention continuum model for the United States as a conceptual framework to identify key steps in reducing HIV incidence and improving health outcomes among those vulnerable to, as well as those living with, HIV infection. We further discuss potential approaches to address gaps in data required for programme planning, implementation and evaluation across the elements of the HIV prevention continuum.
Our model conceptualizes opportunities to monitor and quantify primary HIV prevention efforts and, importantly, illustrates the interplay between an outcomes-oriented primary HIV prevention process and the HIV care continuum to move aggressively forward in reaching ambitious reductions in HIV incidence. To optimize the utility of this outcomes-oriented HIV prevention continuum, a key gap to be addressed includes the creation and increased coordination of data relevant to HIV prevention across sectors.
每一例新发艾滋病病毒感染都是可以预防的,每一例与艾滋病相关的死亡都是可以避免的。随着世界上许多司法管辖区努力终结艾滋病流行,错过的艾滋病预防和治疗机会必须被视为公共卫生紧急情况,并且必须优先努力迅速填补为所有艾滋病病毒感染者和易感染艾滋病病毒者提供服务方面的差距。
我们为美国提出了一种新颖、全面、初级和二级艾滋病预防连续统一体模型,作为一个概念框架,以确定在降低艾滋病发病率以及改善易感染艾滋病病毒者和艾滋病病毒感染者的健康结果方面的关键步骤。我们进一步讨论了应对艾滋病预防连续统一体各要素在方案规划、实施和评估所需数据方面差距的潜在方法。
我们的模型将监测和量化初级艾滋病预防工作的机会概念化,重要的是,说明了以结果为导向的初级艾滋病预防过程与艾滋病护理连续统一体之间的相互作用,以便在大幅降低艾滋病发病率方面积极向前推进。为了优化这种以结果为导向的艾滋病预防连续统一体的效用,一个需要解决的关键差距包括跨部门创建和加强与艾滋病预防相关的数据的协调。