VA Determinants of Health Data Curation Documentation FY25-Q2

Technical Report · Sat Mar 01 04:00:00 EST 2025

DOI:https://doi.org/10.2172/2573354· OSTI ID:2573354

Klasky, Hilda ^[1]; Sparks, Kevin ^[1]; Peluso, Alina ^[1]; Grant, Josh ^[1]; Tuccillo, Joe ^[1]; Spannaus, Adam ^[1]; Logan, Jeremy ^[1]; McGee, Michael ^[1]; Callaway, Kelley ^[1]; MacFarland, Midgie ^[1]; Cook, Hope ^[1]; Hanson, Heidi ^[1]; Martins, Susana B. ^[2]; Trafton, Jodie ^[2]; Kapadia, Anuj ^[1]

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1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
2. Palo Alto VA Medical Center, CA (United States)

The U.S. Department of Veterans Affairs (VA) places the health and well-being of our nation’s veterans as its top priority. VA is dedicated to offering timely access to high-quality, evidence-based mental health care that meets the needs of veterans and supports their reintegration into society. One of our core missions is to prevent suicide among veterans through innovative approaches and resources. With funding from the VA Office of Mental Health and Suicide Prevention (OMHSP), the Determinants of Health (EDH) project has developed innovative datasets associated with specific health outcomes, a methodology for transforming spatiotemporal data from one spatial reference (e.g., a 1km grid) to another (e.g., US Census Tracts), and capabilities for modeling health outcomes. These datasets represent an enhancement of the Agency for Healthcare Research and Quality (AHRQ), addressing key gaps by introducing finer spatial resolution (Census Tract) and additional geographical covariates into existing data. The curation and standardization of these datasets is a complex task since they often originate from various sources and are measured at different spatial and temporal resolutions. For example, US Census data products typically use census blocks, block groups, or counties, while data like weather data are available on 1km grids. Some economic data may only be available at the zip code level. In this context, ‘standardized’ means that all datasets share the same spatial extent (e.g., US Census Tract and/or County), and ‘curated’ implies a repeatable process with data provenance and the use of appropriate methodologies for covariate conversion. The Determinants of Health datasets draw from multiple sources, resulting in variables with varying degrees of availability, patterns of missing data, and methodological considerations across different sources, geographies, and years.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; US Department of Veterans Affairs
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2573354
• Report Number(s): ORNL/SPR--2025/3765; RES-PUB-ID-230283
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING