Greenspan Arlene I, Coronado Victor G, Mackenzie Ellen J, Schulman Jane, Pierce Ben, Provenzano George
National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia 30334, USA.
J Trauma. 2006 Nov;61(5):1234-43. doi: 10.1097/01.ta.0000231558.71696.1a.
The aims of this study are to develop estimates of discharge rates and frequencies for all injury-related hospitalizations in the United States for the year 2000 and to characterize patterns of hospitalized injury and anatomic region using a modified Barell Matrix. The utility of the Nationwide Inpatient Sample (NIS) for providing national estimates of hospitalized injuries will be discussed.
This study is a retrospective analysis of hospital discharge data using the Nationwide Inpatient Sample. All hospital discharges with a primary diagnosis of injury were selected. Total number of hospitalizations, annual discharge rates, and 95% confidence intervals were calculated by body region, nature of injury, and injury mechanism. Number of injuries by age, sex, body region, and nature of injury were also calculated for falls and motor vehicle crashes.
In 2000, there were an estimated 1,690,780 hospital discharges with a primary injury diagnosis. Discharge rates were highest for the oldest age groups. Falls and motor vehicle crashes were the leading causes of hospitalization. Fracture was the most common diagnosis and lower extremity injury was the most common anatomic region.
Hospital discharge data adds another dimension to our understanding of the total injury burden. The Nationwide Inpatient Sample may be useful in providing national estimates of hospital discharges.
本研究的目的是对2000年美国所有与损伤相关的住院病例的出院率和频率进行估计，并使用改良的巴雷尔矩阵描述住院损伤模式和解剖区域。将讨论全国住院患者样本（NIS）在提供全国住院损伤估计方面的效用。
本研究是对使用全国住院患者样本的医院出院数据进行的回顾性分析。选择所有主要诊断为损伤的医院出院病例。按身体部位、损伤性质和损伤机制计算住院总数、年出院率和95%置信区间。还计算了跌倒和机动车碰撞按年龄、性别、身体部位和损伤性质划分的损伤数量。
2000年，估计有1,690,780例主要诊断为损伤的医院出院病例。年龄最大的年龄组出院率最高。跌倒和机动车碰撞是住院的主要原因。骨折是最常见的诊断，下肢损伤是最常见的解剖区域。
医院出院数据为我们理解总体损伤负担增添了新的维度。全国住院患者样本可能有助于提供全国住院出院病例的估计。
