The Utah Population Database. A Model for Linking Medical and Genealogical Records for Population Health Research

Ken R. Smith, A. Fraser, Diana Lane Reed, Jahn B. Barlow, H. Hanson, J. West, S. Knight, Navina Forsythe, G. Mineau
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引用次数: 9

Abstract

Improving our understanding of the socio-environmental and genetic bases of disease and health outcomes among individuals, families, and populations over time requires extensive longitudinal data on multiple attributes for entire communities, states or nations. This requirement can be difficult to achieve. In this paper we describe a successful example of a database that meets these needs. The Utah Population Database (UPDB) is a unique and powerful database rarely found in the world that has been addressing these data requirements for over 40 years. The UPDB at the University of Utah is one of the world’s richest sources of in-depth information that supports research on genetics, epidemiology, demography, history, and public health. Genetic researchers have used UPDB to identify and study individuals and families that have higher than normal incidence of diseases or other traits, to analyze patterns of genetic inheritance, and to identify specific genetic mutations. Demographers and other social scientists are increasingly using the UPDB to study issues such as trends in fertility transitions and shifts in mortality patterns for both infants and adults. A central component of the UPDB is an extensive set of Utah family histories, in which family members are linked to demographic and medical information. The UPDB includes medical information about cancer, causes of death, and medical details associated with births. It also includes diagnostic records from statewide insurance claims data and healthcare facilities (hospital discharge, ambulatory surgery, emergency department encounters). UPDB is also linked to Medicare claims data, a federal health insurance program generally for persons age 65 or older. The UPDB provides access to information on more than 11 million individuals and supports nearly 400 research projects. We describe in detail the data components of the UPDB, how it can be accessed, issues related to its development, record linkage, governance and privacy protections, as well as plans for future developments.
犹他州人口数据库。用于人口健康研究的医学和系谱记录链接模型
随着时间的推移,要提高我们对个人、家庭和人群中疾病和健康结果的社会环境和遗传基础的理解,就需要对整个社区、州或国家的多个属性进行广泛的纵向数据。这一要求可能很难实现。在本文中,我们描述了一个满足这些需求的数据库的成功例子。犹他州人口数据库(UPDB)是一个世界上罕见的独特而强大的数据库,40多年来一直在满足这些数据需求。犹他大学的UPDB是世界上最丰富的深入信息来源之一,支持遗传学、流行病学、人口学、历史和公共卫生研究。遗传学研究人员使用UPDB来识别和研究疾病或其他特征发生率高于正常水平的个人和家庭,分析遗传模式,并识别特定的遗传突变。人口学家和其他社会科学家越来越多地使用UPDB来研究生育转变的趋势以及婴儿和成人死亡率模式的变化等问题。UPDB的一个核心组成部分是一套广泛的犹他州家族史,其中家庭成员与人口统计和医疗信息有关。UPDB包括关于癌症、死因和与分娩相关的医疗细节的医疗信息。它还包括来自全州保险索赔数据和医疗机构(出院、门诊手术、急诊科就诊)的诊断记录。UPDB还与联邦医疗保险索赔数据有关,这是一项通常针对65岁或65岁以上人群的联邦医疗保险计划。乌干达人民国防军提供了1100多万人的信息,并支持近400个研究项目。我们详细描述了UPDB的数据组成部分,如何访问它,与它的开发、记录链接、治理和隐私保护有关的问题,以及未来的发展计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
0.00%
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审稿时长
30 weeks
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