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A mathematical model to estimate the state-specific impact of the Health Resources and Services Administration’s Ryan White HIV/AIDS Program

机译:估计健康资源和服务管理局Ryan White HIV / AIDS计划的国家特定影响的数学模型

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摘要

BackgroundAccess to and engagement in high-quality HIV medical care and treatment is essential for ending the HIV epidemic. The Health Resources and Services Administration's (HRSA) Ryan White HIV/AIDS Program (RWHAP) plays a critical role in ensuring that people living with diagnosed HIV (PLWH) are linked to and consistently engaged in high quality care and receive HIV medication in a timely manner. State variation in HIV prevalence, the proportion of PLWH served by the RWHAP, and local health care environments could influence the state-specific impact of the RWHAP. This analysis sought to measure the state-specific impact of the RWHAP on the HIV service delivery system and health outcomes for PLWH, and presents template language to communicate this impact for state planning and stakeholder engagement.Methods and findingsThe HRSA's HIV/AIDS Bureau (HAB) and the Centers for Disease Control and Prevention's Division of HIV/AIDS Prevention (CDC DHAP) have developed a mathematical model to estimate the state-specific impact of the RWHAP. This model was parameterized using RWHAP data, HIV surveillance data, an existing CDC model of HIV transmission and disease progression, and parameters from the literature. In this study, the model was used to analyze the hypothetical scenario of an absence of the RWHAP and to calculate the projected impact of this scenario on RWHAP clients, RWHAP-funded providers, mortality, new HIV cases, and costs compared with the current state inclusive of the RWHAP. To demonstrate the results of the model, we selected two states, representing high HIV prevalence and low HIV prevalence areas. These states serve to demonstrate the functionality of the model and how state-specific results can be translated into a state-specific impact statement using template language.ConclusionsIn the example states presented, the RWHAP provides HIV care, treatment, and support services to a large proportion of PLWH in each state. The absence of the RWHAP in these states could result in substantially more deaths and HIV cases than currently observed, resulting in considerable lifetime HIV care and treatment costs associated with additional HIV cases. State-specific impact statements may be valuable in the development of state-level HIV prevention and care plans or for communications with planning bodies, state health department leadership, and other stakeholders. State-specific impact statements will be available to RWHAP Part B recipients upon request from HRSA's HIV/AIDS Bureau.
机译:BackgroundAccess以及高质量的艾滋病毒医疗和治疗的参与对于结束艾滋病毒疫情至关重要。健康资源和服务管理局(HRSA)Ryan White HIV / AIDS计划(RWHAP)在确保患有诊断的艾滋病毒(PLWH)的人们与持续的高质量护理和持续接受艾滋病毒药物的患者持态度方面发挥着关键作用方式。艾滋病毒患病率的状态变异,RWHAP服务的PLWH的比例和当地医疗环境可能会影响RWHAP的特定状态影响。该分析试图衡量RWHAP对PLWH的艾滋病毒服务交付系统和健康成果的状态特定影响,并提出了对国家规划和利益相关方参与的这种影响来传达这种影响。方法和寻找HRSA的艾滋病毒/艾滋病局(HAB )和疾病控制和预防艾滋病毒/艾滋病预防司(CDC DHAP)的中心开发了一个数学模型,以估算RWHAP的特定声明。该模型使用RWHAP数据,艾滋病毒监测数据,现有的CDC模型,HIV传播和疾病进展的现有CDC模型以及来自文献的参数。在本研究中,该模型用于分析缺乏RWHAP的假设情景,并计算此方案对RWHAP客户,RWHAP资助提供商,死亡率,新HIV病例和成本的预计影响,与当前状态相比包括RWHAP。为了证明模型的结果,我们选择了两种州,代表了高艾滋病毒患病率和低艾滋病毒患病率地区。这些状态用于演示模型的功能以及如何使用模板语言转换为特定于特定的影响声明的功能.Conclusions在呈现的示例状态,RWHAP提供艾滋病毒护理,治疗和支持服务每个州的PLWH比例。这些国家的缺失可能导致比目前观察到的死亡和艾滋病毒病例,导致与额外的艾滋病病例相关的终身艾滋病毒护理和治疗费用。国家特定的影响陈述可能是有价值的国家级艾滋病毒预防和护理计划或与规划机构,国家卫生部门领导和其他利益攸关方的沟通。应根据HRSA的艾滋病毒/艾滋病局要求提供国家特定的影响陈述。

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