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系统评价评估外科医生术中认知工作量的测量工具。

Systematic review of measurement tools to assess surgeons' intraoperative cognitive workload.

机构信息

STRATUS Center for Medical Simulation, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Harvard Medical School, Boston, Massachusetts, USA.

出版信息

Br J Surg. 2018 Apr;105(5):491-501. doi: 10.1002/bjs.10795. Epub 2018 Feb 21.

Abstract

BACKGROUND

Surgeons in the operating theatre deal constantly with high-demand tasks that require simultaneous processing of a large amount of information. In certain situations, high cognitive load occurs, which may impact negatively on a surgeon's performance. This systematic review aims to provide a comprehensive understanding of the different methods used to assess surgeons' cognitive load, and a critique of the reliability and validity of current assessment metrics.

METHODS

A search strategy encompassing MEDLINE, Embase, Web of Science, PsycINFO, ACM Digital Library, IEEE Xplore, PROSPERO and the Cochrane database was developed to identify peer-reviewed articles published from inception to November 2016. Quality was assessed by using the Medical Education Research Study Quality Instrument (MERSQI). A summary table was created to describe study design, setting, specialty, participants, cognitive load measures and MERSQI score.

RESULTS

Of 391 articles retrieved, 84 met the inclusion criteria, totalling 2053 unique participants. Most studies were carried out in a simulated setting (59 studies, 70 per cent). Sixty studies (71 per cent) used self-reporting methods, of which the NASA Task Load Index (NASA-TLX) was the most commonly applied tool (44 studies, 52 per cent). Heart rate variability analysis was the most used real-time method (11 studies, 13 per cent).

CONCLUSION

Self-report instruments are valuable when the aim is to assess the overall cognitive load in different surgical procedures and assess learning curves within competence-based surgical education. When the aim is to assess cognitive load related to specific operative stages, real-time tools should be used, as they allow capture of cognitive load fluctuation. A combination of both subjective and objective methods might provide optimal measurement of surgeons' cognition.

摘要

背景

手术室中的外科医生经常需要处理需要同时处理大量信息的高要求任务。在某些情况下,会出现高认知负荷,这可能会对外科医生的表现产生负面影响。本系统评价旨在全面了解评估外科医生认知负荷的不同方法,并对当前评估指标的可靠性和有效性进行评价。

方法

制定了涵盖 MEDLINE、Embase、Web of Science、PsycINFO、ACM 数字图书馆、IEEE Xplore、PROSPERO 和 Cochrane 数据库的搜索策略,以确定从创建到 2016 年 11 月发表的同行评审文章。使用医学教育研究研究质量工具(MERSQI)评估质量。创建了一个汇总表,以描述研究设计、设置、专业、参与者、认知负荷测量和 MERSQI 评分。

结果

在检索到的 391 篇文章中,有 84 篇符合纳入标准,共有 2053 名参与者。大多数研究在模拟环境中进行(59 项研究,70%)。60 项研究(71%)使用自我报告方法,其中 NASA 任务负荷指数(NASA-TLX)是最常用的工具(44 项研究,52%)。心率变异性分析是最常用的实时方法(11 项研究,13%)。

结论

当目的是评估不同手术过程中的整体认知负荷并评估基于能力的外科教育中的学习曲线时,自我报告工具是有价值的。当目的是评估与特定手术阶段相关的认知负荷时,应使用实时工具,因为它们可以捕捉认知负荷的波动。主观和客观方法的结合可能会提供对外科医生认知的最佳测量。

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