研究数据仓库:使用电子健康记录进行基于人群的观察性研究。

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES JAMIA Open Pub Date : 2023-07-01 DOI:10.1093/jamiaopen/ooad039
Wansu Chen, Fagen Xie, Don P Mccarthy, Kristi L Reynolds, Mingsum Lee, Karen J Coleman, Darios Getahun, Corinna Koebnick, Steve J Jacobsen
{"title":"研究数据仓库:使用电子健康记录进行基于人群的观察性研究。","authors":"Wansu Chen,&nbsp;Fagen Xie,&nbsp;Don P Mccarthy,&nbsp;Kristi L Reynolds,&nbsp;Mingsum Lee,&nbsp;Karen J Coleman,&nbsp;Darios Getahun,&nbsp;Corinna Koebnick,&nbsp;Steve J Jacobsen","doi":"10.1093/jamiaopen/ooad039","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Electronic health records and many legacy systems contain rich longitudinal data that can be used for research; however, they typically are not readily available.</p><p><strong>Materials and methods: </strong>At Kaiser Permanente Southern California (KPSC), a research data warehouse (RDW) has been developed and maintained since the late 1990s and widely extended in 2006, aggregating and standardizing data collected from internal and a few external sources. This article provides a high-level overview of the RDW and discusses challenges common to data warehouses or repositories for research use. To demonstrate the application of the data, we report the volume, patient characteristics, and age-adjusted prevalence of selected medical conditions and utilization rates of selected medical procedures.</p><p><strong>Results: </strong>A total of 105 million person-years of health plan enrollment was recorded in the RDW between 1981 and 2018, with most healthcare utilization data available since early or middle 1990s. Among active enrollees on December 31, 2018, 15% were ≥65 years of age, 33.9% were non-Hispanic white, 43.3% Hispanic, 11.0% Asian, and 8.4% African American, and 34.4% of children (2-17 years old) and 72.1% of adults (≥18 years old) were overweight or obese. The age-adjusted prevalence of asthma, atrial fibrillation, diabetes mellitus, hypercholesteremia, and hypertension increased between 2001 and 2018. Hospitalization and Emergency Department (ED) visit rates appeared lower, and office visit rates seemed higher at KPSC compared to the reported US averages.</p><p><strong>Discussion and conclusion: </strong>Although the RDW is unique to KPSC, its methodologies and experience may provide useful insights for researchers of other healthcare systems worldwide in the era of big data analysis.</p>","PeriodicalId":36278,"journal":{"name":"JAMIA Open","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284679/pdf/","citationCount":"0","resultStr":"{\"title\":\"Research data warehouse: using electronic health records to conduct population-based observational studies.\",\"authors\":\"Wansu Chen,&nbsp;Fagen Xie,&nbsp;Don P Mccarthy,&nbsp;Kristi L Reynolds,&nbsp;Mingsum Lee,&nbsp;Karen J Coleman,&nbsp;Darios Getahun,&nbsp;Corinna Koebnick,&nbsp;Steve J Jacobsen\",\"doi\":\"10.1093/jamiaopen/ooad039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Electronic health records and many legacy systems contain rich longitudinal data that can be used for research; however, they typically are not readily available.</p><p><strong>Materials and methods: </strong>At Kaiser Permanente Southern California (KPSC), a research data warehouse (RDW) has been developed and maintained since the late 1990s and widely extended in 2006, aggregating and standardizing data collected from internal and a few external sources. This article provides a high-level overview of the RDW and discusses challenges common to data warehouses or repositories for research use. To demonstrate the application of the data, we report the volume, patient characteristics, and age-adjusted prevalence of selected medical conditions and utilization rates of selected medical procedures.</p><p><strong>Results: </strong>A total of 105 million person-years of health plan enrollment was recorded in the RDW between 1981 and 2018, with most healthcare utilization data available since early or middle 1990s. Among active enrollees on December 31, 2018, 15% were ≥65 years of age, 33.9% were non-Hispanic white, 43.3% Hispanic, 11.0% Asian, and 8.4% African American, and 34.4% of children (2-17 years old) and 72.1% of adults (≥18 years old) were overweight or obese. The age-adjusted prevalence of asthma, atrial fibrillation, diabetes mellitus, hypercholesteremia, and hypertension increased between 2001 and 2018. Hospitalization and Emergency Department (ED) visit rates appeared lower, and office visit rates seemed higher at KPSC compared to the reported US averages.</p><p><strong>Discussion and conclusion: </strong>Although the RDW is unique to KPSC, its methodologies and experience may provide useful insights for researchers of other healthcare systems worldwide in the era of big data analysis.</p>\",\"PeriodicalId\":36278,\"journal\":{\"name\":\"JAMIA Open\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284679/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMIA Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jamiaopen/ooad039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMIA Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jamiaopen/ooad039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

背景:电子健康记录和许多遗留系统包含丰富的纵向数据,可用于研究;然而,它们通常不是现成的。材料和方法:在Kaiser Permanente Southern California (KPSC),一个研究数据仓库(RDW)自20世纪90年代末以来一直在开发和维护,并于2006年得到广泛扩展,用于汇总和标准化从内部和一些外部来源收集的数据。本文提供了RDW的高级概述,并讨论了用于研究的数据仓库或存储库的常见挑战。为了证明数据的应用,我们报告了选定医疗条件的数量、患者特征和年龄调整患病率以及选定医疗程序的使用率。结果:1981年至2018年期间,RDW共记录了1.05亿人年的健康计划登记,其中大多数医疗保健利用数据是在20世纪90年代早期或中期获得的。在2018年12月31日的积极参与者中,15%的人年龄≥65岁,33.9%为非西班牙裔白人,43.3%为西班牙裔,11.0%为亚洲人,8.4%为非洲裔美国人,34.4%的儿童(2-17岁)和72.1%的成年人(≥18岁)超重或肥胖。2001年至2018年间,哮喘、心房颤动、糖尿病、高胆固醇血症和高血压的年龄调整患病率有所增加。与报道的美国平均水平相比,KPSC的住院和急诊科(ED)就诊率似乎较低,办公室就诊率似乎较高。讨论与结论:虽然RDW是KPSC独有的,但其方法和经验可能为全球其他医疗保健系统的研究人员在大数据分析时代提供有用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research data warehouse: using electronic health records to conduct population-based observational studies.

Background: Electronic health records and many legacy systems contain rich longitudinal data that can be used for research; however, they typically are not readily available.

Materials and methods: At Kaiser Permanente Southern California (KPSC), a research data warehouse (RDW) has been developed and maintained since the late 1990s and widely extended in 2006, aggregating and standardizing data collected from internal and a few external sources. This article provides a high-level overview of the RDW and discusses challenges common to data warehouses or repositories for research use. To demonstrate the application of the data, we report the volume, patient characteristics, and age-adjusted prevalence of selected medical conditions and utilization rates of selected medical procedures.

Results: A total of 105 million person-years of health plan enrollment was recorded in the RDW between 1981 and 2018, with most healthcare utilization data available since early or middle 1990s. Among active enrollees on December 31, 2018, 15% were ≥65 years of age, 33.9% were non-Hispanic white, 43.3% Hispanic, 11.0% Asian, and 8.4% African American, and 34.4% of children (2-17 years old) and 72.1% of adults (≥18 years old) were overweight or obese. The age-adjusted prevalence of asthma, atrial fibrillation, diabetes mellitus, hypercholesteremia, and hypertension increased between 2001 and 2018. Hospitalization and Emergency Department (ED) visit rates appeared lower, and office visit rates seemed higher at KPSC compared to the reported US averages.

Discussion and conclusion: Although the RDW is unique to KPSC, its methodologies and experience may provide useful insights for researchers of other healthcare systems worldwide in the era of big data analysis.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
期刊最新文献
A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now. Targetable molecular algorithm and training platform development for the treatment of non-small cell lung cancer. Sex, sexual orientation, and gender identity data collection across electronic health record platforms: a national cross-sectional survey. Assessing the use of unstructured electronic health record data to identify exposure to firearm violence. Developing personas to inform the design of digital interventions for perinatal mental health.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1