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VHA Corporate Data Warehouse height and weight data: Opportunities and challenges for health services research
Author(s) -
Polly Hitchcock Nol,
Laurel A. Copeland,
Ruth Perrin,
A. Elizabeth Lancaster,
Mary Jo Pugh,
Chen-Pin Wang,
Mary Bollinger,
Helen P. Hazuda
Publication year - 2010
Publication title -
the journal of rehabilitation research and development
Language(s) - English
Resource type - Journals
eISSN - 1938-1352
pISSN - 0748-7711
DOI - 10.1682/jrrd.2009.08.0110
Subject(s) - data warehouse , concordance , data quality , anthropometry , data collection , health care , reliability (semiconductor) , medical record , medicine , work (physics) , service (business) , medical emergency , database , business , statistics , computer science , engineering , marketing , political science , mechanical engineering , power (physics) , physics , mathematics , quantum mechanics , radiology , law
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.

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