Linde Amber S, Caridha Jona, Kunkler Kevin J
Medical Simulation and Information Sciences Research Program, 1054 Patchel Street, Fort Detrick, MD 21702.
University of Maryland, 7950 Baltimore Avenue, College Park, MD 20742.
Mil Med. 2018 Jan 1;183(1-2):e40-e44. doi: 10.1093/milmed/usx023.
In fiscal year 2012, the Medical Simulation and Information Sciences Research Program released two Skills Decay (SD) research program announcements (PAs) under the Medical Readiness Initiative entitled "Medical Practice Initiative Breadth of Medical Practice & Disease Frequency Exposure (MPI-BMP)" and the "Medical Practice Initiative Procedural Skill Decay and Maintenance (MPI-PSD)." The Office of Naval Research also released a PA entitled "Medical Modeling and Simulation (MM&S) for Military Training and Education." A total investment of $12 M was made. This article provides a meta-synthesis of the Skills Decay research conducted under these efforts.
The MSIRRP Medical Simulation Portfolio collected, reviewed, and analyzed the final reports of the Skills Decay research efforts from the three PAs. This paper provides a meta-synthesis of the outcomes of those studies. Focus of this study was to determine if the anticipated goals of the Skills Decay PAs were met as well as to provide a summary of lessons learned to the research community.
Fourteen research questions posed by the PAs were structured into four main goals: (1) Skills Decay identification, (2) creation/validity of Skills Decay tools and feasibility and viability of data extraction project, (3) refreshment training to prevent or alleviate Skills Decay project, and (4) Skills Decay education content.
Using a combination of training styles, choosing variables known to have Skills Decay predication value, and developing better ways of mining available data that can, in turn, provide feedback to training needs, it is possible for accurate Skills Decay models to be developed. These technologies have the ability not only capture the learner's reaction during the simulation, but to capture the simulation outcomes to predict a medical professional's level of experience and background. Lessons learned from the investments made by the government are extremely important in order to ensure that the outcomes of the research touch the lives of the warfighter.
在2012财年,医学模拟与信息科学研究项目根据医疗准备计划发布了两项技能衰退(SD)研究项目公告(PA),分别是题为“医疗实践倡议——医疗实践广度与疾病频率暴露(MPI - BMP)”和“医疗实践倡议——程序技能衰退与维持(MPI - PSD)”。海军研究办公室也发布了一项题为“用于军事训练和教育的医学建模与模拟(MM&S)”的项目公告。总投资为1200万美元。本文对在这些项目下开展的技能衰退研究进行了元综合分析。
MSIRRP医学模拟项目组合收集、审查并分析了来自这三个项目公告的技能衰退研究工作的最终报告。本文对这些研究的结果进行了元综合分析。本研究的重点是确定技能衰退项目公告的预期目标是否实现,并向研究界总结经验教训。
项目公告提出的14个研究问题被归纳为四个主要目标:(1)技能衰退识别;(2)技能衰退工具的创建/有效性以及数据提取项目的可行性和可行性;(3)预防或缓解技能衰退的复习培训项目;(4)技能衰退教育内容。
通过结合多种培训方式,选择已知具有技能衰退预测价值的变量,并开发更好的挖掘可用数据的方法,进而为培训需求提供反馈,有可能开发出准确的技能衰退模型。这些技术不仅能够捕捉学习者在模拟过程中的反应,还能捕捉模拟结果以预测医疗专业人员的经验水平和背景。从政府投资中吸取的经验教训对于确保研究成果能够影响作战人员的生活极为重要。