An evaluation and comparison of traumatic brain injury data sources within the VA Million Veteran Program: A descriptive epidemiological study

With the increased use and availability of electronic health record (EHR) data, population-based traumatic brain injury (TBI) research has received growing attention. However, a key challenge emerging from this research has been accurate ascertainment of TBI case/control status. While International Classification of Diseases (ICD) diagnosis codes constitute a widely used source of data, their validity may vary by clinic and provider. Examining other TBI data sources from epidemiological databases may help ascertain the value of ICD codes. Within the VA Million Veteran Program (MVP), TBI data is available from several data sources. The purpose of this study was to provide an overview of TBI data sources available within MVP and to evaluate the performance characteristics of these variables. Analyses included up to 657,790 MVP-enrolled Veterans. TBI status (i.e., "TBI" vs. "No TBI") was examined using several different variables: two variables from the MVP Baseline Survey; one variable from the MVP Lifestyle Survey; TBI ICD codes; and two variables from the VA TBI Screening and Evaluation Program. Several key findings emerged: (1) the availability of TBI data varied across data sources; (2) there were significant differences in TBI prevalence by sex, ancestry, and military service era for all TBI variables; (3) sensitivity and specificity varied considerably across TBI variables; and (4) combining TBI data sources (e.g., defining a TBI case using ICD codes and survey data) resulted in variables with stronger performance characteristics. Findings speak to the power of combining multiple data sources when retrospectively assessing TBI in the EHR.

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Publication Details

Journal
Journal of Psychiatric Research
Published
2025-04-29
DOI
https://doi.org/10.1016/j.jpsychires.2025.04.038
Citations
1
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
2.25
Controls
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article

An evaluation and comparison of traumatic brain injury data sources within the VA Million Veteran Program: A descriptive epidemiological study

Victoria C. Merritt, Marissa Kellogg, Adam X. Maihofer, Catherine Chanfreau‐Coffinier
1 citations
Journal of Psychiatric Research
Trauma and Emergency Care Studies
2.25
article

An evaluation and comparison of traumatic brain injury data sources within the VA Million Veteran Program: A descriptive epidemiological study

Victoria C. Merritt, Marissa Kellogg, Adam X. Maihofer, Catherine Chanfreau‐Coffinier
article en
1 citations

Abstract

With the increased use and availability of electronic health record (EHR) data, population-based traumatic brain injury (TBI) research has received growing attention. However, a key challenge emerging from this research has been accurate ascertainment of TBI case/control status. While International Classification of Diseases (ICD) diagnosis codes constitute a widely used source of data, their validity may vary by clinic and provider. Examining other TBI data sources from epidemiological databases may help ascertain the value of ICD codes. Within the VA Million Veteran Program (MVP), TBI data is available from several data sources. The purpose of this study was to provide an overview of TBI data sources available within MVP and to evaluate the performance characteristics of these variables. Analyses included up to 657,790 MVP-enrolled Veterans. TBI status (i.e., "TBI" vs. "No TBI") was examined using several different variables: two variables from the MVP Baseline Survey; one variable from the MVP Lifestyle Survey; TBI ICD codes; and two variables from the VA TBI Screening and Evaluation Program. Several key findings emerged: (1) the availability of TBI data varied across data sources; (2) there were significant differences in TBI prevalence by sex, ancestry, and military service era for all TBI variables; (3) sensitivity and specificity varied considerably across TBI variables; and (4) combining TBI data sources (e.g., defining a TBI case using ICD codes and survey data) resulted in variables with stronger performance characteristics. Findings speak to the power of combining multiple data sources when retrospectively assessing TBI in the EHR.

Journal of Psychiatric ResearchVol. 187
VA Palo Alto Health Care System (US), VA Boston Healthcare System (US), VA Salt Lake City Healthcare System (US), Canandaigua VA Medical Center (US), VA San Diego Healthcare System (US), VA Portland Health Care System (US), New Mexico VA Health Care System (US), VA Greater Los Angeles Healthcare System (US)
Good health and well-being
Openalex Percentile: Top 15%
Trauma and Emergency Care Studies
2.25
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