Cited by 77Medical Coding and Health InformationElectronic Health Records SystemsData Quality and Management

The DOI matches its Crossref record.

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

Nol, Polly Hitchcock, Copeland, Laurel A., Perrin, Ruth A., Lancaster, A. Elizabeth, Pugh, Mary Jo, Wang, Chen-Pin, Bollinger, Mary J., Hazuda, Helen P.·2010·The Journal of Rehabilitation Research and Development

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.

Overview

Integrity signals

Registry

Crossref · 10.1682/jrrd.2009.08.0110

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

Metadata

Authors
Nol, P. H., Copeland, L. A., Perrin, R. A., Lancaster, A. E., Pugh, M. J., Wang, C.-P., Bollinger, M. J., & Hazuda, H. P.
Affiliations
  • The University of Texas at San Antonio (US)
  • United States Department of Veterans Affairs (US)
Venue
The Journal of Rehabilitation Research and Development
Published
2010
Volume
47
Issue
8
Pages
739
ISSN
  • 0742-3241 (ISSN-L)
  • 0748-7711
OpenAlex
W2123627029
Cited by
77
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 9 · 2022: 8 · 2021: 11 · 2020: 5 · 2019: 4 · 2018: 6 · 2017: 5 · 2016: 4 · 2015: 4 · 2014: 6 · 2013: 3 · 2012: 5
FWCI
6.56
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Rehabilitation Research and Development (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Information Systems › Data Quality and Management
Keywords
Veterans Health Administration, corporate data warehouse, anthropometry, height and weight measurement, data quality, data validation, Veterans Integrated Service Networks, electronic health records, data entry errors
MeSH terms
Body Height, Body Weight, Health Services Research, Humans, United States, United States Department of Veterans Affairs, Body Mass Index, Electronic Health Records, Veterans Health

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review