TY - JOUR
T1 - Disparities in mortality after blunt injury
T2 - Does insurance type matter?
AU - Weygandt, Paul Logan
AU - Losonczy, Lia I.
AU - Schneider, Eric B.
AU - Kisat, Mehreen T.
AU - Licatino, Lauren K.
AU - Cornwell, Edward E.
AU - Haut, Elliot R.
AU - Efron, David T.
AU - Haider, Adil H.
N1 - Funding Information:
Financial support for this work was provided by the National Institutes of Health/NIGMS K23GM093112-01 ; American College of Surgeons C. James Carrico Fellowship for the study of Trauma and Critical Care and Hopkins Center for Health Disparities Solutions (A.H.H.) and grant number 5TL1RR025007 from the National Center Research Resources to the Johns Hopkins University School of Medicine, which funds the Predoctoral Clinical Research Training Program (P.L.W.).
PY - 2012/10
Y1 - 2012/10
N2 - Background: Insurance-related outcomes disparities are well-known, but associations between distinct insurance types and trauma outcomes remain unclear. Prior studies have generally merged various insurance types into broad groups. The purpose of this study is to determine the association of specific insurance types with mortality after blunt injury. Materials and methods: Cases of blunt injury among adults aged 18-64 y with an injury severity score >9 were identified using the 2007-2009 National Trauma Data Bank. Crude mortality was calculated for 10 insurance types. Multivariable logistic regression was employed to determine difference in odds of death between insurance types, controlling for injury severity score, Glasgow Coma Scale motor, mechanism of injury, sex, race, and hypotension. Clustering was used to account for possible inter-facility variations. Results: A total of 312,312 cases met inclusion criteria. Crude mortality ranged from 3.2 to 6.0% by insurance type. Private Insurance, Blue Cross Blue Shield, Workers Compensation, and Medicaid yielded the lowest relative odds of death, while Not Billed and Self Pay yielded the highest. Compared with Private Insurance, odds of death were higher for No Fault (OR 1.25, P = 0.022), Not Billed (OR 1.77, P < 0.001), and Self Pay (OR 1.77, P < 0.001). Odds of death were higher for Medicare (OR 1.52, P < 0.001) and Other Government (OR 1.35, P = 0.049), while odds of death were lower for Medicaid (OR 0.89, P = 0.015). Conclusions: Significant differences in mortality after blunt injury were seen between insurance types, even among those commonly grouped in other studies. Policymakers may use this information to implement programs to monitor and reduce insurance-related disparities.
AB - Background: Insurance-related outcomes disparities are well-known, but associations between distinct insurance types and trauma outcomes remain unclear. Prior studies have generally merged various insurance types into broad groups. The purpose of this study is to determine the association of specific insurance types with mortality after blunt injury. Materials and methods: Cases of blunt injury among adults aged 18-64 y with an injury severity score >9 were identified using the 2007-2009 National Trauma Data Bank. Crude mortality was calculated for 10 insurance types. Multivariable logistic regression was employed to determine difference in odds of death between insurance types, controlling for injury severity score, Glasgow Coma Scale motor, mechanism of injury, sex, race, and hypotension. Clustering was used to account for possible inter-facility variations. Results: A total of 312,312 cases met inclusion criteria. Crude mortality ranged from 3.2 to 6.0% by insurance type. Private Insurance, Blue Cross Blue Shield, Workers Compensation, and Medicaid yielded the lowest relative odds of death, while Not Billed and Self Pay yielded the highest. Compared with Private Insurance, odds of death were higher for No Fault (OR 1.25, P = 0.022), Not Billed (OR 1.77, P < 0.001), and Self Pay (OR 1.77, P < 0.001). Odds of death were higher for Medicare (OR 1.52, P < 0.001) and Other Government (OR 1.35, P = 0.049), while odds of death were lower for Medicaid (OR 0.89, P = 0.015). Conclusions: Significant differences in mortality after blunt injury were seen between insurance types, even among those commonly grouped in other studies. Policymakers may use this information to implement programs to monitor and reduce insurance-related disparities.
KW - Blunt injury
KW - Disparities
KW - Insurance type
KW - Outcomes
UR - http://www.scopus.com/inward/record.url?scp=84866052776&partnerID=8YFLogxK
U2 - 10.1016/j.jss.2012.07.003
DO - 10.1016/j.jss.2012.07.003
M3 - Article
C2 - 22858381
AN - SCOPUS:84866052776
SN - 0022-4804
VL - 177
SP - 288
EP - 294
JO - Journal of Surgical Research
JF - Journal of Surgical Research
IS - 2
ER -