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Novel Methods of Measuring Health Disparities

衡量健康差异的新方法

基本信息

批准号：
7855752
负责人：
CHRISTOPHER J.L. MURRAY
金额：
$ 162.68万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-30 至 2011-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7855752
关键词：
Address Adherence Ambulatory Care Americas Area Asian Americans Behavioral Risk Factor Surveillance System Censuses Chronic Disease Communities Country County Data Data Collection Data Sources Databases Disease Drug Formulations Economics Effectiveness Emergency medical service Ethnic Origin Event Feeds Geographic Locations Goals Health Health Policy Health Services Health Services Accessibility Health system Healthcare Hispanics Hospitalization Hospitals Household Incidence Individual Information Systems Intervention Interview Link Malignant Neoplasms Measurement Measures Medical Records Medical Surveillance Medicare Methods National Health Interview Survey National Health and Nutrition Examination Survey National Heart, Lung, and Blood Institute Not Hispanic or Latino Outcome Outpatients Pattern Pharmacy facility Policy Analysis Policy Maker Policy Research Privacy Protocols documentation Public Health Race Recording of previous events Records Research Research Infrastructure Resources Respondent Risk Factors SEER Program Scientist Series Site Source Surveys System Testing United States United States National Institutes of Health Variant Visit Washington base cost design health disparity innovation mortality novel population based programs public health relevance socioeconomics success surveillance data

项目摘要

DESCRIPTION (provided by applicant): This application addresses NHLBI Participation in NIH Research and Research Infrastructure "Grand Opportunities" (RC2) (RFA-OD-09-004); NHLBI RC2 topic area "Novel Methods of Measuring Health Disparities." The broad goal of this project is to design a population-based surveillance system that integrates multiple data sources to track disparities in chronic diseases at the local level. This system will capture the complete spectrum of relevant information from socio-economic context and health risk factors to disease incidence and the consequent cascade of hospitalizations, outpatient visits, and use of and adherence to interventions. The project will demonstrate the costs and feasibility of this system in King County, Washington. By demonstrating in this two-year project, the feasibility of such an integrated cost-effective system, it could be subsequently deployed in a number of sites across the United States. Together these sites would provide important detail on chronic disease disparities for race/ethnicity groups in different parts of the country. The integrated multi-source data system will need certain key attributes. First, it should leverage existing data systems including medical record discharge systems, vital registration data, census data, reportable conditions, payer data systems and Medicare files. Second, it should supplement these sources with additional cost-effective data collection including household surveys and chart extraction. Third, the quality and utility of the information should be maximized through record linkage across data platforms. Finally, the methods and strategies used in King County should be applicable in diverse communities across the US. PUBLIC HEALTH RELEVANCE: Tracking and analyzing the disparities for race/ethnicity groups across counties or local communities requires detailed measurements for at least four critical domains: health outcomes, health risk factors, health services, and the socio-economic context. The broad goal of this project is to design a population-based surveillance system that integrates multiple -data sources to track disparities in chronic diseases at the local level. This will allow more targeted allocation of limited resources and more detailed, specific information that can be used by policy makers to design appropriate interventions.

描述（由申请人提供）：