Estimating nonfatal traumatic brain injury hospitalizations using an urban/rural index

被引:3
作者
Kegler, SR
Coronado, VG
Annest, JL
Thurman, DJ
机构
[1] Ctr Dis Control & Prevent, Natl Ctr Injury Prevent & Control, Atlanta, GA 30341 USA
[2] Ctr Dis Control & Prevent, Natl Ctr Chron Dis Prevent & Hlth Promot, Atlanta, GA 30341 USA
关键词
negative binomial regression; traumatic brain injury;
D O I
10.1097/00001199-200311000-00001
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:469 / 478
页数:10
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