Literature DB >> 21141302

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

Polly Hitchcock Noël1, Laurel A Copeland, Ruth A Perrin, A Elizabeth Lancaster, Mary Jo Pugh, Chen-Pin Wang, Mary J Bollinger, Helen P Hazuda.   

Abstract

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.

Mesh:

Year:  2010        PMID: 21141302     DOI: 10.1682/jrrd.2009.08.0110

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  35 in total

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Authors:  Christopher T Rentsch; Emily J Cartwright; Neel R Gandhi; Sheldon T Brown; Maria C Rodriguez-Barradas; Matthew Bidwell Goetz; Vincent C Marconi; Cynthia L Gibert; Vincent Lo Re; David A Fiellin; Amy C Justice; Janet P Tate
Journal:  Ann Epidemiol       Date:  2018-08-23       Impact factor: 3.797

4.  A rigorous algorithm to detect and clean inaccurate adult height records within EHR systems.

Authors:  A Muthalagu; J A Pacheco; S Aufox; P L Peissig; J T Fuehrer; G Tromp; A N Kho; L J Rasmussen-Torvik
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5.  Initial engagement and attrition in a national weight management program: demographic and health predictors.

Authors:  J S Funderburk; D Arigo; A Kenneson
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6.  The Obesity Epidemic in the Veterans Health Administration: Prevalence Among Key Populations of Women and Men Veterans.

Authors:  Jessica Y Breland; Ciaran S Phibbs; Katherine J Hoggatt; Donna L Washington; Jimmy Lee; Sally Haskell; Uchenna S Uchendu; Fay S Saechao; Laurie C Zephyrin; Susan M Frayne
Journal:  J Gen Intern Med       Date:  2017-04       Impact factor: 5.128

7.  Association of Geographic Differences in Prevalence of Uncontrolled Chronic Conditions With Changes in Individuals' Likelihood of Uncontrolled Chronic Conditions.

Authors:  Aaron Baum; Juan Wisnivesky; Sanjay Basu; Albert L Siu; Mark D Schwartz
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8.  The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study.

Authors:  Diana M Higgins; Eugenia Buta; Alicia A Heapy; Mary A Driscoll; Robert D Kerns; Robin Masheb; William C Becker; Leslie R M Hausmann; Matthew J Bair; Laura Wandner; E Amy Janke; Cynthia A Brandt; Joseph L Goulet
Journal:  Pain Med       Date:  2020-10-01       Impact factor: 3.750

9.  The comorbidity of sleep apnea and mood, anxiety, and substance use disorders among obese military veterans within the Veterans Health Administration.

Authors:  Kimberly A Babson; A C Del Re; Marcel O Bonn-Miller; Steven H Woodward
Journal:  J Clin Sleep Med       Date:  2013-12-15       Impact factor: 4.062

10.  Identification of risk factors for elevated transaminases in methotrexate users through an electronic health record.

Authors:  Gabriela Schmajuk; Yinghui Miao; Jinoos Yazdany; W John Boscardin; David I Daikh; Michael A Steinman
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-08       Impact factor: 4.794

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