Jiahui Ma, B. Lowndes, K. Chrouser, S. Hallbeck, B. McCrory
{"title":"Developing a subjective instrument for laparoscopic surgical workload in a high fidelity simulator using the NASA-TLX and SURG-TLX","authors":"Jiahui Ma, B. Lowndes, K. Chrouser, S. Hallbeck, B. McCrory","doi":"10.1080/24725579.2020.1854395","DOIUrl":null,"url":null,"abstract":"Abstract The Surgery Task Load Index (SURG-TLX) and National Aeronautics and Space Administration Task Load Index (NASA-TLX) are subjective workload assessment instruments. These instruments have three coinciding workload dimensions, but each has three unique dimensions. Each dimension is explained by a unique descriptor. It was hypothesized that the SURG-TLX and NASA-TLX workload ratings would differ when assessing the same surgical methods and tasks. Accordingly, the aim of this study was to assess the SURG- and NASA-TLX dimensions toward the creation of a novel workload instrument to better predict simulated laparoscopic surgical workload. Twenty-five (25) participants were selected at a large, midwestern teaching hospital to conduct two simulated surgical tasks using four different laparoscopic methods. Each participant completed a total of eight trials and after each trial workload was assessed using both the NASA-TLX and SURG-TLX. The overall NASA-TLX dimensions were rated significantly higher (greater workload) compared to the overall SURG-TLX dimensions (F = 12.04, p = 0.001). Principle component analysis of workload dimensions suggests that a new surgical subjective workload measurement instrument should include the dimensions of Mental Demand, Physical Demand, Temporal Demand, Performance, Frustration and Situational Stress. However, validation of this novel tool is needed.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"11 1","pages":"161 - 169"},"PeriodicalIF":1.5000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/24725579.2020.1854395","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE Transactions on Healthcare Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24725579.2020.1854395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 3
Abstract
Abstract The Surgery Task Load Index (SURG-TLX) and National Aeronautics and Space Administration Task Load Index (NASA-TLX) are subjective workload assessment instruments. These instruments have three coinciding workload dimensions, but each has three unique dimensions. Each dimension is explained by a unique descriptor. It was hypothesized that the SURG-TLX and NASA-TLX workload ratings would differ when assessing the same surgical methods and tasks. Accordingly, the aim of this study was to assess the SURG- and NASA-TLX dimensions toward the creation of a novel workload instrument to better predict simulated laparoscopic surgical workload. Twenty-five (25) participants were selected at a large, midwestern teaching hospital to conduct two simulated surgical tasks using four different laparoscopic methods. Each participant completed a total of eight trials and after each trial workload was assessed using both the NASA-TLX and SURG-TLX. The overall NASA-TLX dimensions were rated significantly higher (greater workload) compared to the overall SURG-TLX dimensions (F = 12.04, p = 0.001). Principle component analysis of workload dimensions suggests that a new surgical subjective workload measurement instrument should include the dimensions of Mental Demand, Physical Demand, Temporal Demand, Performance, Frustration and Situational Stress. However, validation of this novel tool is needed.
期刊介绍:
IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.