Determining the Merit of Self-Rated Health for Risk Prediction

确定自评健康对于风险预测的优点

• 批准号: 7186708
• 负责人: KAREN B. DESALVO
• 金额: $ 12万
• 依托单位: TULANE UNIVERSITY OF LOUISIANA
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2009-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7186708
• 关键词: Determining; Merit; Self; Rated; Health

DESCRIPTION (provided by the applicant): Dr. Karen DeSalvo is a general internist and junior health services researcher at Tulane University Health Sciences Center in New Orleans. Her long-term goal is to develop an independent career as an applied health services researcher with a focus on improving health outcomes for disadvantaged populations with chronic disease. Dr. DeSalvo has developed a detailed 3-year career development plan to augment her training and experiences. These plans involve advanced coursework and an intensive, mentored research experience under the guidance of successful senior investigators. The mentorship team includes Dr. Jiang He (primary mentor), Dr. John Peabody (co-mentor), and Dr. Stephan Fihn (co-mentor). This application is designed to allow Dr. DeSalvo to successfully accomplish five career objectives: 1) obtain experience in the design and conduct of health services research in the context of mentored research projects; 2) advance her research skills in health related quality of life measurement, advanced analytic techniques, and risk adjustment through didactic training; 3) develop expertise in analyzing large survey databases such as the Medical Expenditure Panel Survey; 4) acquire research skills and experience necessary to lead multicenter, translatable research projects through close collaboration with mentors; 5) develop academic leadership skills and qualifications. The research component of this training award will advance the understanding of a single question measuring general self-rated health (GSRH) used in risk prediction as a tool to inform health care practice and policy. We assess the robustness of GSRH relative to established risk prediction tools, the performance of changes in GSRH relative to cross-sectional measures of GSRH and other risk prediction tools, and the determinants of changes in GSRH in disadvantaged population. We will use data from the 2001 Medical Expenditure Panel Survey (MEPS), a survey that captures GSRH, socioeconomic and demographic variables, co-morbidity, and health resource expenditures and utilization from a representative sample of the US population (n=32,000). Knowledge from the research portion of this training grant will result in six planned manuscripts and form the basis of an R01 application to test the hypothesis GSRH collected using an electronic health record is a valuable tool to effectively and efficiently improve health care delivery for disadvantaged populations. Skills acquired through this career development award will enable Dr. Karen DeSalvo to launch a successful, independent career in applied health services research focusing on interventions to improve the health of disadvantaged populations.

描述（由申请人提供）：Karen DeSalvo博士是新奥尔良杜兰大学健康科学中心的普通内科医生和初级卫生服务研究员。她的长期目标是发展一个独立的职业生涯，作为一个应用卫生服务研究人员，重点是改善慢性病弱势群体的健康结果。DeSalvo博士制定了详细的3年职业发展计划，以增加她的培训和经验。这些计划涉及先进的课程，并在成功的高级调查员的指导下进行密集的，指导性的研究经验。导师团队包括Jiang He博士（主要导师），John Peabody博士（联合导师）和Stephan Fihn博士（联合导师）。此应用程序旨在允许 博士DeSalvo成功完成五个职业目标：1）在指导研究项目的背景下获得设计和开展卫生服务研究的经验; 2）提高她在健康相关生活质量测量，先进的分析技术和风险方面的研究技能 通过教学培训进行调整; 3）发展分析大型调查数据库（如医疗支出小组调查）的专业知识; 4）通过与导师的密切合作，获得领导多中心、可翻译研究项目所需的研究技能和经验; 5）发展学术领导技能和资格。该培训奖的研究部分将促进对测量一般自测健康（GSRH）的单一问题的理解，该问题用于风险预测，作为告知医疗保健实践和政策的工具。我们评估了GSRH相对于已建立的风险预测工具的稳健性，GSRH相对于GSRH和其他风险预测工具的横截面措施的变化的表现，以及弱势群体GSRH变化的决定因素。我们将使用来自2001年医疗支出小组调查（MEPS）的数据，该调查从美国人口的代表性样本（n= 32，000）中获取GSRH、社会经济和人口统计学变量、合并症以及卫生资源支出和利用。从这个培训补助金的研究部分的知识将导致六个计划的手稿，并形成R 01应用程序的基础上，以测试使用电子健康记录收集的假设GSRH是一个有价值的工具，有效地改善弱势群体的医疗保健服务。通过这个职业发展奖获得的技能将使Karen DeSalvo博士能够在应用卫生服务研究方面开展成功，独立的职业生涯，重点是改善弱势群体健康的干预措施。