TY - JOUR
T1 - Brief report
T2 - Comparison of methods to identify Iraq and Afghanistan war veterans using department of Veterans affairs administrative data
AU - Bangerter, Ann
AU - Gravely, Amy
AU - Cutting, Andrea
AU - Clothier, Barb
AU - Spoont, Michele
AU - Sayer, Nina
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - The Department of Veterans Affairs (VA) has made treatment and care of Operation Iraqi Freedom/Operation Enduring Freedom (OIF/OEF) veterans a priority. Researchers face challenges identifying the OIF/OEF population because until fiscal year 2008, no indicator of OIF/OEF service was present in the Veterans Health Administration (VHA) administrative databases typically used for research. In this article, we compare an algorithm we developed to identify OIF/OEF veterans using the Austin Information Technology Center administrative data with the VHA Support Service Center OIF/OEF Roster and veterans' self-report of military service. We drew data from two different institutional review board-approved funded studies. The positive predictive value of our algorithm compared with the VHA Support Service Center OIF/OEF Roster and self-report was 92% and 98%, respectively. However, this method of identifying OIF/OEF veterans failed to identify a large proportion of OIF/OEF veterans listed in the VHA Support Service Center OIF/OEF Roster. Demographic, diagnostic, and VA service use differences were found between veterans identified using our method and those we failed to identify but who were in the VHA Support Service Center OIF/OEF Roster. Therefore, depending on the research objective, this method may not be a viable alternative to the VHA Support Service Center OIF/OEF Roster for identifying OIF/OEF veterans.
AB - The Department of Veterans Affairs (VA) has made treatment and care of Operation Iraqi Freedom/Operation Enduring Freedom (OIF/OEF) veterans a priority. Researchers face challenges identifying the OIF/OEF population because until fiscal year 2008, no indicator of OIF/OEF service was present in the Veterans Health Administration (VHA) administrative databases typically used for research. In this article, we compare an algorithm we developed to identify OIF/OEF veterans using the Austin Information Technology Center administrative data with the VHA Support Service Center OIF/OEF Roster and veterans' self-report of military service. We drew data from two different institutional review board-approved funded studies. The positive predictive value of our algorithm compared with the VHA Support Service Center OIF/OEF Roster and self-report was 92% and 98%, respectively. However, this method of identifying OIF/OEF veterans failed to identify a large proportion of OIF/OEF veterans listed in the VHA Support Service Center OIF/OEF Roster. Demographic, diagnostic, and VA service use differences were found between veterans identified using our method and those we failed to identify but who were in the VHA Support Service Center OIF/OEF Roster. Therefore, depending on the research objective, this method may not be a viable alternative to the VHA Support Service Center OIF/OEF Roster for identifying OIF/OEF veterans.
KW - Administrative data
KW - Department of veterans affairs
KW - Global war on terrorism
KW - Health services use
KW - Iraq and Afghanistan war veterans
KW - OIF/OEF
KW - PTSD
KW - Period of service
KW - VHA support service center OIF/OEF roster
KW - Veterans health administration
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U2 - 10.1682/JRRD.2009.08.0115
DO - 10.1682/JRRD.2009.08.0115
M3 - Review article
C2 - 21110254
AN - SCOPUS:78449281291
SN - 0007-506X
VL - 47
SP - 815
EP - 821
JO - Journal of rehabilitation R&D
JF - Journal of rehabilitation R&D
IS - 8
ER -