Development of a Health Policy Tool for Prioritizing Health Disparities Targets

描述(申请人提供)：消除健康方面的种族差异是一项最优先的公共卫生目标。非洲裔美国人的健康状况更差，在各种疾病上得到的护理质量也更差，但解决卫生和保健方面的所有这些不同差距是不可行的。相反，我们必须明智地利用有限的资源，并将目标对准将最大限度地减少健康差距的卫生保健方面。简而言之，迫切需要一项以证据为基础的战略，以消除健康方面的种族差距，并应优先考虑那些将对缩小预期寿命种族差距产生最大影响的保健方面。然而，目前缺乏支持这一战略的证据基础。我们以前发现，在国家一级，造成预期寿命种族差异的最大死因是高血压、艾滋病毒和他杀。美国在人口统计和健康行为方面存在很大的地理差异。因此，人们可能会认为，导致健康方面种族差异最大的死亡原因和风险因素也会因地理区域以及大都市和农村地区而有很大差异。事实上，我们有初步数据表明，导致种族预期寿命差异最大的死因在各州之间存在很大差异。因此，在州和地方一级制定战略方针不仅必须确定哪些风险因素和健康问题为目标，而且还必须为正确的人群确定正确的目标。在之前的工作中，我们开发了差异健康政策模型，该模型模拟了疾病和死亡事件，以了解种族、民族和社会经济差异在健康方面是如何在人的一生中发展的。在这项第一阶段的STTR研究中，我们将测试采用这一模式的可行性，并将其作为一种工具，帮助公共卫生官员就未来的研究和人口层面的干预做出政策决策，以减少健康差距。在这项研究中，我们将与加利福尼亚州和洛杉矶县的公共卫生官员协商，并确定他们评估健康差距和确定干预目标的现有方法。然后，我们将使用差异健康政策模型来确定在美国、加利福尼亚州和洛杉矶县消除种族差异的优先事项。我们将集中讨论特定的死因，以及4种常见疾病风险因素(吸烟、糖尿病、高血压和高胆固醇血症)、缺血性心脏病和17种特定类型癌症对预期寿命种族差异的绝对和相对影响。我们将使用美国生命统计数据中已知的预期寿命估计值来测试我们预测的有效性。最后，将根据我们的模拟模型，为加利福尼亚州和洛杉矶县公共卫生官员制作一份报告，确定消除预期寿命中的种族差异的关键优先事项。 公共卫生相关性：拟议的研究将测试使用差异卫生政策模拟模型作为一种工具的可行性，以确定关于未来研究和人口水平干预的优先事项和政策决策，以减少健康差异。该模型估计了各种疾病、风险因素和护理方面对预期寿命种族差异的贡献。这一模式可以针对特定人群量身定做，以便公共卫生官员、政策制定者、社区领导人和医疗保健管理人员可以利用这项研究的结果，确定哪些疾病、风险因素和护理方面应作为未来干预和研究的优先目标，以减少当地人口预期寿命的种族差距。

DESCRIPTION (provided by applicant): Eliminating racial disparities in health is a top priority public health goal. African Americans have worse health outcomes and receive worse quality of care for a wide range of diseases, but addressing all of these various disparities in health and health care is not feasible. Instead, we must make judicious use of limited resources and target those aspects of health care that will produce the greatest reduction in health disparities. In short, an evidence- based strategy for eliminating racial disparities in health is critically needed and should prioritize those aspects of care that will have the biggest impact on reducing the racial gap in life expectancy. The evidence base to support such a strategy is currently lacking, however. We have previously found that, at the national level, the causes of death contributing most to the racial disparity in life expectancy are hypertension, HIV and homicide. Substantial geographic variations in demographics and health behaviors exist in the U.S. Thus one might expect that the causes of death and risk factors contributing most to racial disparities in health would also vary substantially by geographic region and between metropolitan and rural areas. In fact, we have preliminary data suggesting that the causes of death contributing most to the racial gap in life expectancy differ greatly from state to state. Thus, developing a strategic approach at the state and local level must not only identify which risk factors and health problems to target, but must also identify the right targets for the right population. In prior work, we have developed the Disparities Health Policy Model, which simulates disease and mortality events, to understand how racial, ethnic and socioeconomic disparities in health develops over the lifespan. In this Phase I STTR study, we will test the feasibility of adapting this model and using it as a tool to help public health officials make policy decisions about future research and population-level interventions to reduce health disparities. In this study, we will consult with public health officials with the State of California and Los Angeles County and determine their existing methods for assessing health disparities and identifying targets for interventions. We will then use the Disparities Health Policy Model to identify priorities for eliminating racial disparities in the US, California and Los Angeles County. We will focus on specific causes of death as well as the absolute and relative impact of 4 common disease risk factors (tobacco use, diabetes, hypertension and hypercholesterolemia), ischemic heart disease, and 17 specific types of cancer on the racial difference in life expectancy. We will test the validity of our projections with known life expectancy estimates from US Vital Statistics data. Finally, will produce a report for California and Los Angeles County public health officials identifying key priorities for eliminating racial disparities in life expectancy based on our simulation model. PUBLIC HEALTH RELEVANCE: The proposed study will test the feasibility of using the Disparities Health Policy Simulation Model as a tool for setting priorities and policy decision making about future research and population-level interventions to reduce health disparities. This model estimates the contribution of various diseases, risk factors and aspects of care to racial disparities in life expectancy. This model can be tailored to a specific population, so that public health officials, policymakers, community leaders and healthcare administrators can use the results of this study to identify which diseases, risk factors and aspects of care should be prioritized as targets in future interventions and research to reduce the racial gap in life expectancy in their local populations.