Maloney Lauren M, Williams Daryl W, Reardon Lindsay, Marshall R Trevor, Alian Andrus, Boyle Jess, Secko Michael
Department of Emergency Medicine, Stony Brook University Hospital, Stony Brook, New YorkUSA.
Since study initiation, Dr. Reardon has changed affiliations and is now at: University of Vermont Medical Center, Department of Emergency Medicine, Burlington, VermontUSA.
Prehosp Disaster Med. 2021 Feb;36(1):42-46. doi: 10.1017/S1049023X20001247. Epub 2020 Oct 28.
Prehospital use of lung ultrasound (LUS) by paramedics to guide the diagnoses and treatment of patients has expanded over the past several years. However, almost all of this education has occurred in a classroom or hospital setting. No published prehospital use of LUS simulation software within an ambulance currently exists.
The objective of this study was to determine if various ambulance driving conditions (stationary, constant acceleration, serpentine, and start-stop) would impact paramedics' abilities to perform LUS on a standardized patient (SP) using breath-holding to simulate lung pathology, or to perform LUS using ultrasound (US) simulation software. Primary endpoints included the participating paramedics': (1) time to acquiring a satisfactory simulated LUS image; and (2) accuracy of image recognition and interpretation. Secondary endpoints for the breath-holding portion included: (1) the agreement between image interpretation by paramedic versus blinded expert reviewers; and (2) the quality of captured LUS image as determined by two blinded expert reviewers. Finally, a paramedic LUS training session was evaluated by comparing pre-test to post-test scores on a 25-item assessment requiring the recognition of a clinical interpretation of prerecorded LUS images.
Seventeen paramedics received a 45-minute LUS lecture. They then performed 25 LUS exams on both SPs and using simulation software, in each case looking for lung sliding, A and B lines, and seashore or barcode signs. Pre- and post-training, they completed a 25-question test consisting of still images and videos requiring pathology recognition and formulation of a clinical diagnosis. Sixteen paramedics performed the same exams in an ambulance during different driving conditions (stationary, constant acceleration, serpentines, and abrupt start-stops). Lung pathology was block randomized based on driving condition.
Paramedics demonstrated improved post-test scores compared to pre-test scores (P <.001). No significant difference existed across driving conditions for: time needed to obtain a simulated image; clinical interpretation of simulated LUS images; quality of saved images; or agreement of image interpretation between paramedics and blinded emergency physicians (EPs). Image acquisition time while parked was significantly greater than while the ambulance was driving in serpentines (Z = -2.898; P = .008). Technical challenges for both simulation techniques were noted.
Paramedics can correctly acquire and interpret simulated LUS images during different ambulance driving conditions. However, simulation techniques better adapted to this unique work environment are needed.
在过去几年中,护理人员在院前使用肺部超声(LUS)来指导患者诊断和治疗的情况有所增加。然而,几乎所有此类培训都是在教室或医院环境中进行的。目前尚无关于在救护车内使用LUS模拟软件进行院前操作的公开报道。
本研究的目的是确定各种救护车行驶条件(静止、匀速加速、蛇形行驶和启停)是否会影响护理人员在使用屏气模拟肺部病变的标准化患者(SP)上进行LUS检查的能力,或使用超声(US)模拟软件进行LUS检查的能力。主要终点包括参与研究的护理人员:(1)获取满意的模拟LUS图像的时间;(2)图像识别和解读的准确性。屏气部分的次要终点包括:(1)护理人员与不知情的专家评审员的图像解读一致性;(2)由两位不知情的专家评审员确定的捕获LUS图像的质量。最后,通过比较在一项需要识别预先录制的LUS图像的临床解读的25项评估中的测试前和测试后分数,对护理人员的LUS培训课程进行评估。
17名护理人员接受了45分钟的LUS讲座。然后,他们在SP上以及使用模拟软件进行了25次LUS检查,每种情况下都要寻找肺滑动、A线和B线以及海岸或条形码征。在培训前和培训后,他们完成了一项由25个问题组成的测试,包括静态图像和视频,要求识别病变并做出临床诊断。16名护理人员在不同的行驶条件(静止、匀速加速、蛇形行驶和突然启停)下在救护车内进行了相同的检查。肺部病变根据行驶条件进行区组随机分组。
与测试前分数相比,护理人员的测试后分数有所提高(P<.001)。在不同行驶条件下,获取模拟图像所需的时间、模拟LUS图像的临床解读、保存图像的质量或护理人员与不知情的急诊医生(EP)之间的图像解读一致性方面均无显著差异。停车时的图像采集时间明显长于救护车蛇形行驶时(Z=-2.898;P=.008)。两种模拟技术均存在技术挑战。
护理人员能够在不同的救护车行驶条件下正确获取和解读模拟LUS图像。然而,需要更好地适应这种独特工作环境的模拟技术。