目的:本研究旨在分析创伤性脑损伤(TBI)参与者的人口统计学特征,烧伤(BI),脊髓损伤(SCI)模型系统数据库。
方法:来自燃烧模型系统(BMS)国家数据库的数据,TBI模型系统(TBIMS)国家数据库,从1994年到2020年,对SCI模型系统(SCIMS)数据库进行了分析。
方法:不适用PARTICIPANTS:该研究包括16岁及以上的参与者,这些参与者具有选定变量的可用数据,总计4,807BI,19,127TBI,18,473名SCI参与者。
方法:不适用主要结果指标:变量包括年龄,种族,种族,性别,教育水平,主要付款人来源,家庭收入水平,受伤后一年的就业状况,病因学,在整个数据库中分析了损伤后1年的死亡率.
结果:BMS受伤时的中位年龄(40.4),TBIMS(40),和SCIMS(38)数据库参与者具有可比性。男性约占BMS参与者的75%,TBIMS,和SCIMS数据集,大约75%的人受过高中或更低的教育。在最初的医院护理期间,由Medicare资助的参与者比例在BMS中有所不同(14%),TBIMS(15.6%),和SCIMS(10.2%)。对于家庭收入(可用于BMS和SCIMS的数据),这些参与者中约有30%的家庭收入低于25,000美元。病因学数据表明,49.0%的TBI和40.7%的SCI病例是由车辆事故引起的。
结论:这些伤害的重叠高危人群似乎是受教育程度和家庭收入较低的中年男性,可以使用车辆的人。这突出表明需要针对这一确定的人群采取预防措施,以减轻这些伤害的风险。
OBJECTIVE: To analyze the demographic profiles of participants in the traumatic brain injury, burn injury, and spinal cord injury model systems databases.
METHODS: Data from the Burn Model System (BMS), Traumatic Brain Injury Model System (TBIMS), and Spinal Cord Injury Model System (SCIMS) National Databases were analyzed from 1994-2020.
METHODS: Not applicable.
METHODS: The study included participants aged ≥16 years (N=42,407) with available data in selected variables, totaling 4807 burn injury, 19,127 TBI, and 18,473 SCI participants.
METHODS: Not applicable.
METHODS: Variables including age, race, ethnicity, sex, education level, primary payor source, family income level, employment status at 1 year postinjury, etiology, and mortality at 1 year postinjury were analyzed across the database.
RESULTS: Median ages at injury for BMS (40.4y), TBIMS (40y), and SCIMS (38y) National Database participants were comparable. Men constituted approximately 75% of participants in the BMS, TBIMS, and SCIMS datasets, with approximately 75% having a high-school education or less. The proportion of participants funded by Medicare during initial hospital care varied across the BMS (14%), TBIMS (15.6%), and SCIMS (10.2%). For family income (data available for BMS and SCIMS), approximately 30% of these participants reported a family income <$25,000. Etiology data indicated 49.0% of traumatic brain injury and 40.7% of spinal cord injury cases resulted from vehicular incidents.
CONCLUSIONS: An overlapping at-risk population for these injuries appears to be middle-aged men with lower education levels and family incomes who have access to vehicles. This underscores the need for preventive initiatives tailored to this identified population to mitigate the risk of these injuries.