TY - JOUR
T1 - Linked Exposures Across Databases
T2 - an exposure common data elements aggregation framework to facilitate clinical exposure review
AU - Samuel, Immanuel B.H.
AU - Pollin, Kamila
AU - Tschida, Sherri
AU - Prisco, Michelle Kennedy
AU - Lu, Calvin
AU - Powell, Alan
AU - Mefford, Jessica
AU - Lee, Jamie
AU - Dupriest, Teresa
AU - Forsten, Robert
AU - Ortiz, Jose
AU - Barrett, John
AU - Reinhard, Matthew
AU - Costanzo, Michelle
N1 - Publisher Copyright:
Copyright © 2024 Samuel, Pollin, Tschida, Prisco, Lu, Powell, Mefford, Lee, Dupriest, Forsten, Ortiz, Barrett, Reinhard and Costanzo.
PY - 2024
Y1 - 2024
N2 - Understanding the health outcomes of military exposures is of critical importance for Veterans, their health care team, and national leaders. Approximately 43% of Veterans report military exposure concerns to their VA providers. Understanding the causal influences of environmental exposures on health is a complex exposure science task and often requires interpreting multiple data sources; particularly when exposure pathways and multi-exposure interactions are ill-defined, as is the case for complex and emerging military service exposures. Thus, there is a need to standardize clinically meaningful exposure metrics from different data sources to guide clinicians and researchers with a consistent model for investigating and communicating exposure risk profiles. The Linked Exposures Across Databases (LEAD) framework provides a unifying model for characterizing exposures from different exposure databases with a focus on providing clinically relevant exposure metrics. Application of LEAD is demonstrated through comparison of different military exposure data sources: Veteran Military Occupational and Environmental Exposure Assessment Tool (VMOAT), Individual Longitudinal Exposure Record (ILER) database, and a military incident report database, the Explosive Ordnance Disposal Information Management System (EODIMS). This cohesive method for evaluating military exposures leverages established information with new sources of data and has the potential to influence how military exposure data is integrated into exposure health care and investigational models.
AB - Understanding the health outcomes of military exposures is of critical importance for Veterans, their health care team, and national leaders. Approximately 43% of Veterans report military exposure concerns to their VA providers. Understanding the causal influences of environmental exposures on health is a complex exposure science task and often requires interpreting multiple data sources; particularly when exposure pathways and multi-exposure interactions are ill-defined, as is the case for complex and emerging military service exposures. Thus, there is a need to standardize clinically meaningful exposure metrics from different data sources to guide clinicians and researchers with a consistent model for investigating and communicating exposure risk profiles. The Linked Exposures Across Databases (LEAD) framework provides a unifying model for characterizing exposures from different exposure databases with a focus on providing clinically relevant exposure metrics. Application of LEAD is demonstrated through comparison of different military exposure data sources: Veteran Military Occupational and Environmental Exposure Assessment Tool (VMOAT), Individual Longitudinal Exposure Record (ILER) database, and a military incident report database, the Explosive Ordnance Disposal Information Management System (EODIMS). This cohesive method for evaluating military exposures leverages established information with new sources of data and has the potential to influence how military exposure data is integrated into exposure health care and investigational models.
KW - data aggregation
KW - dose
KW - exposure common data elements
KW - exposure model
KW - military exposures
UR - http://www.scopus.com/inward/record.url?scp=85198636782&partnerID=8YFLogxK
U2 - 10.3389/fpubh.2024.1408222
DO - 10.3389/fpubh.2024.1408222
M3 - Article
C2 - 39005996
AN - SCOPUS:85198636782
SN - 2296-2565
VL - 12
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1408222
ER -