Dyer Jessica, Spindler Hilary, Christmas Amelia, Shah Malay Bharat, Morgan Melissa, Cohen Susanna R, Sterne Jason, Mahapatra Tanmay, Walker Dilys
Program Director, PRONTO International, Seattle, WA 98112, USA.
Project Director, Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
Clin Simul Nurs. 2018 Apr;17:19-27. doi: 10.1016/j.ecns.2017.11.007.
Simulation-based training has become an accepted clinical training andragogy in high-resource settings with its use increasing in low-resource settings. Video recordings of simulated scenarios are commonly used by facilitators. Beyond using the videos during debrief sessions, researchers can also analyze the simulation videos to quantify technical and nontechnical skills during simulated scenarios over time. Little is known about the feasibility and use of large-scale systems to video record and analyze simulation and debriefing data for monitoring and evaluation in low-resource settings.
This manuscript describes the process of designing and implementing a large-scale video monitoring system. Mentees and Mentors were consented and all simulations and debriefs conducted at 320 Primary Health Centers (PHCs) were video recorded. The system design, number of video recordings, and inter-rater reliability of the coded videos were assessed.
The final dataset included a total of 11,278 videos. Overall, a total of 2,124 simulation videos were coded and 183 (12%) were blindly double-coded. For the double-coded sample, the average inter-rater reliability (IRR) scores were 80% for nontechnical skills, and 94% for clinical technical skills. Among 4,450 long debrief videos received, 216 were selected for coding and all were double-coded. Data quality of simulation videos was found to be very good in terms of recorded instances of "unable to see" and "unable to hear" in Phases 1 and 2.
This study demonstrates that video monitoring systems can be effectively implemented at scale in resource limited settings. Further, video monitoring systems can play several vital roles within program implementation, including monitoring and evaluation, provision of actionable feedback to program implementers, and assurance of program fidelity.
基于模拟的培训在资源丰富的环境中已成为一种被认可的临床培训教学法,在资源匮乏的环境中其使用也在增加。模拟场景的视频记录通常被培训者使用。除了在总结讨论环节使用这些视频外,研究人员还可以分析模拟视频,以量化模拟场景中随时间变化的技术和非技术技能。对于在资源匮乏环境中用于视频记录和分析模拟及总结讨论数据以进行监测和评估的大规模系统的可行性和用途,人们了解甚少。
本手稿描述了设计和实施大规模视频监测系统的过程。获得了学员和导师的同意,并对在320个初级卫生保健中心(PHC)进行的所有模拟和总结讨论进行了视频记录。评估了系统设计、视频记录数量以及编码视频的评分者间信度。
最终数据集总共包括11278个视频。总体而言,总共对2124个模拟视频进行了编码,其中183个(12%)进行了盲法双编码。对于双编码样本,非技术技能的平均评分者间信度(IRR)分数为80%,临床技术技能为94%。在收到的4450个长总结讨论视频中,选择了216个进行编码,且全部进行了双编码。在第1阶段和第2阶段,就“看不见”和“听不见”的记录实例而言,模拟视频的数据质量被发现非常好。
本研究表明,视频监测系统可以在资源有限的环境中有效地大规模实施。此外,视频监测系统可以在项目实施中发挥几个重要作用,包括监测和评估、向项目实施者提供可操作的反馈以及确保项目保真度。