Hall Andrew, Qureshi Iram, Shackelford Stacy, Glaser Jacob, Bulger Eileen M, Scalea Thomas, Gurney Jennifer
Center for the Sustainment of Trauma and Readiness Skills - St. Louis, Saint Louis University Hospital, Saint Louis, Missouri, USA.
Naval Medical Research Unit San Antonio, San Antonio, Texas, USA.
Trauma Surg Acute Care Open. 2019 Mar 6;4(1):e000274. doi: 10.1136/tsaco-2018-000274. eCollection 2019.
A major dilemma of the military surgeon is the requirement for battlefield trauma expertise without regular exposure to a traumatically injured patient. To solve this problem, the military is partnering with civilian trauma centers to obtain the required trauma exposure. The main objective of this article is to quantify institutional differences and develop a predictive model for estimating the number of 24-hour trauma shifts a surgeon must be on call at civilian centers to experience urgent trauma cases.
Trauma databases from multiple institutions were queried to obtain all urgent trauma cases occurring during a 2-year period. A predictive model was used to estimate the number of urgent surgical cases in multiple specialties surgeons would experience over various numbers of 24-hour shifts and the number of 24-hour shifts required to experience a defined number of cases.
Institution 1 had the lowest number of required 24-hour shifts to experience 10 urgent operative cases for general/trauma surgery (10 calls) and orthopedic surgery (6 calls) and the highest number of predicted cases over 12 days, 18.3 (95% CI 11 to 27), with 95% confidence. The expected trauma cases and 24-hour shifts at Institution 1 were statistically significant (p<0.0001). There were seasonal effects at all institutions except for Institution 3.
There are significant variabilities in trauma center volume and therefore, the expected number of shifts and cases during a specific period of time is significantly different between trauma centers. This predictive model is objective and can therefore be used as an extrapolative tool to help and inform the military regarding placement of personnel in optimal centers for trauma currency rotations.
Economic and value-based evaluations, level II.
军队外科医生面临的一个主要困境是,他们需要具备战场创伤专业知识,但却无法定期接触创伤患者。为了解决这个问题,军方正与民用创伤中心合作,以获得所需的创伤接触机会。本文的主要目的是量化机构差异,并开发一个预测模型,用于估计外科医生在民用中心应对紧急创伤病例时,必须随叫随到的24小时创伤轮班次数。
查询了多个机构的创伤数据库,以获取在两年期间发生的所有紧急创伤病例。使用预测模型来估计多个专科的外科医生在不同数量的24小时轮班中会遇到的紧急手术病例数量以及遇到特定数量病例所需经历的24小时轮班数量.
机构1在普通/创伤外科(10次呼叫)和整形外科(6次呼叫)遇到10例紧急手术病例所需的24小时轮班数量最少,在12天内预测病例数量最多,为18.3例(95%置信区间为11至27),置信度为95%。机构1的预期创伤病例数和24小时轮班数具有统计学意义(p<0.0001)。除机构3外,所有机构均存在季节性影响。
创伤中心的病例数量存在显著差异,因此,不同创伤中心在特定时间段内的预期轮班次数和病例数量存在显著差异。这个预测模型具有客观性,因此可以用作一种推断工具来帮助军方,并为其提供有关将人员安置到创伤经验轮转最佳中心的信息。
基于经济和价值的评估,二级。