Quality Adjusted Life Expectancy Estimates for the US General Population

美国普通人口的质量调整预期寿命估计

• 批准号: 8798138
• 负责人: Janel Hanmer
• 金额: $ 14.73万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8798138
• 关键词: Accounting; Age; Age Reporting; Aging; Arthritis; Asthma; Cessation of life; Chronic; Chronic Bronchitis; Chronic Disease; Clinical; Cohort Analysis; Cohort Effect; Collection; Communities; Coronary heart disease; Cross-Sectional Studies; Data; Data Set; Diabetes Mellitus; Disease; Doctor of Philosophy; Expectancy; Expenditure; Future; General Population; Goals; Health; Health Care Costs; Health Professional; Health Services Research; Health Status; Health Surveys; Healthcare; Hypertension; Individual; Information Systems; Institute of Medicine (U.S.); Intervention; Joints; Life Expectancy; Link; Longitudinal Surveys; Measurement; Measures; Medical; Methods; Metric; Modeling; Morbidity - disease rate; Myocardial Infarction; National Health Interview Survey; Policies; Policy Maker; Population; Public Health; Pulmonary Emphysema; Quality of life; Relative (related person); Research; Research Personnel; Resources; Sampling; Science; Stroke; Surveys; Techniques; Time; United States; age effect; cohort; design; experience; flexibility; functional status; health care quality; health related quality of life; improved; indexing; interest; mortality; population health; preference; public health relevance; sex; web site; young adult

DESCRIPTION (provided by applicant): Accurate measurement of population health is necessary to inform policy, set research agendas, and allocate public resources. This proposal is designed to leverage several publicly available datasets to advance the science of Quality Adjusted Life Expectancy (QALE) estimation. QALE is the metric recommended to track population health in the United States. QALE integrates life expectancy (mortality) with quality-of-life (morbidity). We have assembled a research team with experience in quality of life measurement (Janel Hanmer, MD, PhD, Rachel Hess, MD, MS, Mark Roberts, MD, MPP), QALE use (Rachel Hess, MD, MS, Mark Roberts, MD, MPP), and both survey and longitudinal methods (Janel Hanmer, MD, PhD, Lan Yu, PhD). The measures used to quantify quality-of-life for QALE are called health utility measures. Health utility measures have been included in a variety of surveys allowing for cross-sectional estimates of health utility. Previous QALE estimates have been made by combining cross-sectional estimates of health utility with life expectancy. While such estimates can be calculated from relatively few data, such models have several limitations including the assumption that age- and sex-stratified health utility will be static over time. This project develops an alternative technique which uses joint estimation of health utility and life expectancy from the same sample to estimate QALE. This technique has several theoretical advantages including: consistency in estimating morbidity and mortality from the same sample, an explicit method to include changes in age- and sex-stratified health utility by including age and cohort effects in the model, improved flexibility for modifying the model for subpopulations of interest (such as those with chronic disease). We will achieve this goal through the following specific aims: 1: Estimate independent age, period, and cohort effects in HRQoL changes in the US general population. 2: Produce age- and sex-stratified 10-year QALE for the US general population. 3: Produce 10-year QALE estimates for common health conditions in the US general population. This project will use nationally representative publicly available datasets including the National Health Interview Survey, the Medical Expenditures Panel Survey, and the National Death Index. The results of this project will provide national normative QALE estimates to which smaller community and clinical samples can be compared. We will disseminate our final models on a publicly available website where users can input age, sex, and health information and receive 10-year QALE. There will be an advanced version of the calculator where the user can modify the effect of disease on life expectancy or health utility This project will vastly improve the estimates of QALE in the United States. Accurate QALE estimates will improve the ability of researchers, public health professionals, and policy makers to understand the health of the US population as well as the relative impacts of common health conditions.

描述（由申请人提供）：准确测量人口健康对于制定政策、制定研究议程和分配公共资源是必要的。该提案旨在利用多个公开可用的数据集来推进质量调整预期寿命 (QALE) 估计的科学。 QALE 是建议用于跟踪美国人口健康状况的指标。 QALE 将预期寿命（死亡率）与生活质量（发病率）结合起来。我们组建了一支在生活质量测量（Janel Hanmer，MD，PhD，Rachel Hess，MD，MS，Mark Roberts，MD，MPP）、QALE 使用（Rachel Hess，MD，MS，Mark Roberts，MD，MPP）以及调查和纵向方法（Janel Hanmer，MD，PhD，Lan Yu，PhD）方面经验丰富的研究团队。 用于量化 QALE 生活质量的措施称为健康效用措施。健康效用措施已包含在各种调查中，可以对健康效用进行横断面估计。之前的 QALE 估计是通过将健康效用的横截面估计与预期寿命相结合来做出的。虽然可以根据相对较少的数据计算出此类估计值，但此类模型存在一些局限性，包括假设年龄和性别分层的健康效用将随着时间的推移保持不变。 该项目开发了一种替代技术，该技术使用同一样本的健康效用和预期寿命的联合估计来估计 QALE。该技术具有几个理论上的优点，包括：同一样本估计发病率和死亡率的一致性、通过在模型中包含年龄和队列效应来包含年龄和性别分层健康效用变化的明确方法、提高针对感兴趣的亚群（例如患有慢性疾病的亚群）修改模型的灵活性。 我们将通过以下具体目标来实现这一目标： 1：估计美国普通人群 HRQoL 变化的独立年龄、时期和队列效应。 2：为美国普通人群制作按年龄和性别分层的 10 年 QALE。 3：对美国普通人群的常见健康状况进行 10 年 QALE 估计。该项目将使用具有全国代表性的公开数据集，包括国家健康访谈调查、医疗支出小组调查和国家死亡指数。 该项目的结果将提供国家规范的 QALE 估计，可以与较小的社区和临床样本进行比较。我们将在公开网站上传播我们的最终模型，用户可以在其中输入年龄、性别和健康信息并获得 10 年 QALE。将有一个高级版本的计算器，用户可以修改疾病对预期寿命或健康效用的影响。该项目将极大地改善美国 QALE 的估计。准确的 QALE 估计将提高研究人员、公共卫生专业人员和政策制定者了解美国人口健康状况以及常见健康状况的相对影响的能力。