Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX.
Department of Burn, Trauma, Acute, and Critical Care Surgery, University of Texas Southwestern Medical Center, Parkland Hospital, Dallas, TX.
Arch Phys Med Rehabil. 2024 Nov;105(11):2160-2165. doi: 10.1016/j.apmr.2024.07.012. Epub 2024 Aug 2.
To analyze the demographic profiles of participants in the traumatic brain injury, burn injury, and spinal cord injury model systems databases.
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.
Not applicable.
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.
Not applicable.
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.
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.
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.
分析创伤性脑损伤、烧伤和脊髓损伤模型系统数据库参与者的人口统计学特征。
对 1994 年至 2020 年期间烧伤模型系统（BMS）、创伤性脑损伤模型系统（TBIMS）和脊髓损伤模型系统（SCIMS）国家数据库的数据进行了分析。
不适用。
本研究纳入了年龄≥16 岁（N=42407）且具有特定变量数据的参与者，共有 4807 例烧伤、19127 例 TBI 和 18473 例 SCI 参与者。
不适用。
分析数据库中包括年龄、种族、族裔、性别、教育程度、主要支付来源、家庭收入水平、受伤后 1 年的就业状况、病因和受伤后 1 年的死亡率在内的变量。
BMS（40.4 岁）、TBIMS（40 岁）和 SCIMS（38 岁）国家数据库参与者的中位年龄相近。男性约占 BMS、TBIMS 和 SCIMS 数据集参与者的 75%，其中约 75%的参与者接受过高中及以下教育。在初始住院治疗期间，BMS（14%）、TBIMS（15.6%）和 SCIMS（10.2%）参与者中，由医疗保险支付的比例各不相同。对于家庭收入（BMS 和 SCIMS 数据可用），约 30%的参与者报告家庭收入<25,000 美元。病因数据显示，49.0%的创伤性脑损伤和 40.7%的脊髓损伤病例是由车辆事故引起的。
这些损伤的高危人群似乎是教育程度和家庭收入较低、有能力使用车辆的中年男性。这突显了针对这一特定人群制定预防措施的必要性，以降低这些损伤的风险。
