University of Galway, Ireland.
University College Dublin, Ireland.
Surgeon. 2023 Dec;21(6):397-404. doi: 10.1016/j.surge.2023.08.003. Epub 2023 Aug 29.
Time-sensitive emergencies in areas of low population density have statistically poorer outcomes. This includes incidents of major trauma. This study assesses the effect that population density at a receiving hospital of a major trauma patient has on survival.
Patients meeting Trauma Audit Research Network criteria for major trauma from 2016 to 2020 in Ireland were included in this retrospective observational study. Incident data were retrieved from the Major Trauma Audit, while data on population density were calculated from Irish state sources. The primary outcome measure of survival to discharge was compared to population density using logistic regression, adjusted for demographic and incident variables. Records were divided into population density tertiles to assess for between-group differences in potential predictor variables.
Population density at a receiving hospital had no impact on mortality in Irish major trauma patients from our logistic regression model (OR = 1.01, 95% CI 0.98-1.05, p = 0.53). Factors that did have an impact were age, Charlson Comorbidity Index, Injury Severity Score, and the presence of an Orthopaedic Surgery service at the receiving hospital (all p < 0.001). Age and Charlson Comorbidity Index differed slightly by population density tertile; both were higher in areas of high population density (all p < 0.001).
Survival to discharge in Irish major trauma patients does not differ substantially based on population density. This is an important finding as Ireland moves to a new trauma system, with features based on population distribution. An Orthopaedic Surgery service is an important feature of a major trauma receiving hospital and its presence improves outcomes.
在人口密度低的地区,时间敏感的紧急情况统计结果较差,其中包括重大创伤事件。本研究评估了主要创伤患者接收医院的人口密度对存活率的影响。
本回顾性观察研究纳入了 2016 年至 2020 年爱尔兰符合创伤审核研究网络重大创伤标准的患者。事件数据从重大创伤审核中检索,而人口密度数据则根据爱尔兰国家来源计算。主要生存出院结局测量值与人口密度使用逻辑回归进行比较,调整了人口统计学和事件变量。将记录分为人口密度三分位数,以评估潜在预测变量在组间的差异。
从我们的逻辑回归模型来看,接收医院的人口密度对爱尔兰重大创伤患者的死亡率没有影响(OR=1.01,95%CI 0.98-1.05,p=0.53)。有影响的因素是年龄、Charlson 合并症指数、损伤严重程度评分和接收医院是否有骨科服务(均 p<0.001)。年龄和 Charlson 合并症指数在人口密度三分位数之间略有差异;人口密度较高的地区均较高(均 p<0.001)。
爱尔兰重大创伤患者的出院存活率与人口密度差异不大。这是一个重要的发现,因为爱尔兰正在转向一个新的创伤系统,其特点基于人口分布。骨科服务是主要创伤接收医院的一个重要特征,其存在可改善结局。