Literature DB >> 29465749

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

R D Dias1,2, M C Ngo-Howard3,4, M T Boskovski5,2, M A Zenati2,4, S J Yule1,6,5,2.   

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.
© 2018 BJS Society Ltd Published by John Wiley & Sons Ltd.

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Year:  2018        PMID: 29465749      PMCID: PMC5878696          DOI: 10.1002/bjs.10795

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  113 in total

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2.  The effect of augmented real-time image guidance on task workload during endoscopic sinus surgery.

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3.  Understanding Cognitive Performance During Robot-Assisted Surgery.

Authors:  Khurshid A Guru; Somayeh B Shafiei; Atif Khan; Ahmed A Hussein; Mohamed Sharif; Ehsan T Esfahani
Journal:  Urology       Date:  2015-08-05       Impact factor: 2.649

4.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

5.  Differences in mental workload between traditional and single-incision laparoscopic procedures measured with a secondary task.

Authors:  Mark W Scerbo; Rebecca C Britt; Dimitrios Stefanidis
Journal:  Am J Surg       Date:  2016-10-08       Impact factor: 2.565

6.  Pupil response to precision in surgical task execution.

Authors:  Xianta Jiang; Bin Zheng; Geoffrey Tien; M Stella Atkins
Journal:  Stud Health Technol Inform       Date:  2013

7.  Higher mental workload is associated with poorer laparoscopic performance as measured by the NASA-TLX tool.

Authors:  Yuliya Y Yurko; Mark W Scerbo; Ajita S Prabhu; Christina E Acker; Dimitrios Stefanidis
Journal:  Simul Healthc       Date:  2010-10       Impact factor: 1.929

8.  Evaluation of an image-guided navigation system in the training of functional endoscopic sinus surgeons. A prospective, randomised clinical study.

Authors:  K Stelter; B Ertl-Wagner; M Luz; S Muller; G Ledderose; V Siedek; A Berghaus; S Arpe; A Leunig
Journal:  Rhinology       Date:  2011-10       Impact factor: 3.681

9.  Development and validation of a surgical workload measure: the surgery task load index (SURG-TLX).

Authors:  Mark R Wilson; Jamie M Poolton; Neha Malhotra; Karen Ngo; Elizabeth Bright; Rich S W Masters
Journal:  World J Surg       Date:  2011-09       Impact factor: 3.352

10.  Procedural specificity in laparoscopic simulator training: protocol for a randomised educational superiority trial.

Authors:  Flemming Bjerrum; Jette Led Sorensen; Lars Konge; Jane Lindschou; Susanne Rosthøj; Bent Ottesen; Jeanett Strandbygaard
Journal:  BMC Med Educ       Date:  2014-10-10       Impact factor: 2.463

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  28 in total

1.  Intelligent Interruption Management System to Enhance Safety and Performance in Complex Surgical and Robotic Procedures.

Authors:  Roger D Dias; Heather M Conboy; Jennifer M Gabany; Lori A Clarke; Leon J Osterweil; David Arney; Julian M Goldman; Giuseppe Riccardi; George S Avrunin; Steven J Yule; Marco A Zenati
Journal:  OR 2.0 Context Aware Oper Theaters Comput Assist Robot Endosc Clin Image Based Proced Skin Image Anal (2018)       Date:  2018-10-02

2.  First Reported Use of Team Cognitive Workload for Root Cause Analysis in Cardiac Surgery.

Authors:  Marco A Zenati; Kay B Leissner; Suzana Zorca; Lauren Kennedy-Metz; Steven J Yule; Roger D Dias
Journal:  Semin Thorac Cardiovasc Surg       Date:  2018-12-19

3.  Cutting off the lizard's tail in surgery.

Authors:  Marco A Zenati; Andrea Scarinci
Journal:  J Thorac Cardiovasc Surg       Date:  2018-09       Impact factor: 5.209

4.  Physiological synchronization and entropy as measures of team cognitive load.

Authors:  Roger D Dias; Marco A Zenati; Ronald Stevens; Jennifer M Gabany; Steven J Yule
Journal:  J Biomed Inform       Date:  2019-07-08       Impact factor: 6.317

5.  Using objective robotic automated performance metrics and task-evoked pupillary response to distinguish surgeon expertise.

Authors:  Jessica H Nguyen; Jian Chen; Sandra P Marshall; Saum Ghodoussipour; Andrew Chen; Inderbir S Gill; Andrew J Hung
Journal:  World J Urol       Date:  2019-07-25       Impact factor: 4.226

6.  Development of an Interactive Dashboard to Analyze Cognitive Workload of Surgical Teams During Complex Procedural Care.

Authors:  Roger D Dias; Heather M Conboy; Jennifer M Gabany; Lori A Clarke; Leon J Osterweil; George S Avrunin; David Arney; Julian M Goldman; Giuseppe Riccardi; Steven J Yule; Marco A Zenati
Journal:  IEEE Int Interdiscip Conf Cogn Methods Situat Aware Decis Support       Date:  2018-08-02

7.  Toward Improving Surgical Outcomes by Incorporating Cognitive Load Measurement into Process-Driven Guidance.

Authors:  George S Avrunin; Lori A Clarke; Heather M Conboy; Leon J Osterweil; Roger D Dias; Steven J Yule; Julian M Goldman; Marco A Zenati
Journal:  Softw Eng Healthc Syst SEHS IEEE ACM Int Workshop       Date:  2018-05

8.  Artificial intelligence in cardiothoracic surgery.

Authors:  Roger D Dias; Julie A Shah; Marco A Zenati
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Review 9.  Cognitive Engineering to Improve Patient Safety and Outcomes in Cardiothoracic Surgery.

Authors:  Marco A Zenati; Lauren Kennedy-Metz; Roger D Dias
Journal:  Semin Thorac Cardiovasc Surg       Date:  2019-10-17

10.  Analysis of Mirrored Psychophysiological Change of Cardiac Surgery Team Members During Open Surgery.

Authors:  Lauren R Kennedy-Metz; Roger D Dias; Ronald H Stevens; Steven J Yule; Marco A Zenati
Journal:  J Surg Educ       Date:  2020-08-28       Impact factor: 2.891

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