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Estimating nonfatal traumatic brain injury hospitalizations using an urban/rural index
Scott R Kegler1, Victor G Coronado, Joseph L Annest
1National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. snk6@cdc.gov
Objective:
To develop state-level estimates of the annual number of nonfatal cases of traumatic brain injury (TBI) resulting in hospitalization.
Methods:
The estimation process incorporates annual nonfatal TBI hospitalization case counts from 15 states funded by the Centers for Disease Control and Prevention to conduct TBI surveillance; annual fatal TBI case counts based on National Center for Health Statistics data for all 50 states; and an index reflecting the urban/rural character of each state. These data are used to develop a negative binomial regression model that yields estimates of the annual number of nonfatal TBI hospitalization cases for each state not funded to conduct TBI surveillance.
Results:
Sensitivity analysis suggests that on average the estimates fall within +/- 15% of the case counts that would be obtained directly from surveillance.
Conclusion:
In combination, the TBI case count data and the urban/rural index support effective modeling and estimation of annual nonfatal TBI hospitalization case counts at the state level.
