VHA Corporate Data Warehouse height and weight data: Opportunities and challenges for health services research

被引:61
作者
Noel, Polly Hitchcock [1 ,2 ]
Copeland, Laurel A. [1 ,2 ]
Perrin, Ruth A. [3 ,4 ]
Lancaster, A. Elizabeth [5 ]
Pugh, Mary Jo [1 ,2 ]
Wang, Chen-Pin [1 ,2 ]
Bollinger, Mary J. [1 ]
Hazuda, Helen P. [2 ]
机构
[1] S Texas Vet Hlth Care Syst, Dept Vet Affairs, San Antonio, TX 78229 USA
[2] Univ Texas Hlth Sci Ctr San Antonio, San Antonio, TX 78229 USA
[3] Ctr Management Complex Chron Care, Hines, IL USA
[4] VA Informat Resource Ctr, Hines, IL USA
[5] Vet Hlth Adm Support Serv Ctr, Washington, DC USA
关键词
anthropometric measurements; body mass index; data error; electronic medical record; height; obesity; rehabilitation; secondary data; veterans; Veterans Health Administration; weight; PRIMARY-CARE; OBESITY; MANAGEMENT; OVERWEIGHT; VETERANS; ADULTS; RISK;
D O I
10.1682/JRRD.2009.08.0110
中图分类号
R49 [康复医学];
学科分类号
100232 [康复医学];
摘要
Within the Veterans Health Administration (VHA), anthropometric measurements entered into the electronic medical record are stored in local information systems, the national Corporate Data Warehouse (CDW), and in some regional data warehouses This article describes efforts to examine the quality of weight and height data within the CDW and to compare CDW data with data from warehouses maintained by several of VHA's regional groupings of healthcare facilities (Veterans Integrated Service Networks [VISNs]) We found significantly fewer recorded heights than weights in both the CDW and VISN data sources In spite of occasional anomalies, the concordance in the number and value of records in the CDW and the VISN warehouses was generally 97% to 99% or greater Implausible variation in same-day and same-year heights and weights was noted, suggesting measurement or data-entry errors Our work suggests that the CDW, over time and through validation, has become a generally reliable source of anthropometric data Researchers should assess the reliability of data contained within any source and apply strategies to minimize the impact of data errors appropriate to their study population
引用
收藏
页码:739 / 750
页数:12
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