Susan Xu, Rachel Jones, Neethan Ratnakumar, Kubra Akbas, Jeff Powell, Ziqing Zhuang, Xianlian Zhou
{"title":"Impact of Self-Contained Breathing Apparatus (SCBA) Weights on Firefighter's Kinematics During Simulated Firefighter Tasks.","authors":"Susan Xu, Rachel Jones, Neethan Ratnakumar, Kubra Akbas, Jeff Powell, Ziqing Zhuang, Xianlian Zhou","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Firefighters face a multitude of hazards in their line of duty, with overexertion being one of the foremost causes of injuries or fatalities. This high risk is often exacerbated by the burden of carrying a heavy self-contained breathing apparatus (SCBA). This study aims to explore the impact of SCBA weight on firefighters' musculoskeletal joint movements. Six firefighters participated in this study, performing four simulated firefighting tasks under three different SCBA weight conditions. A hybrid inverse kinematics approach was employed to analyze the kinematic data from two participants. The results revealed a notable decrease in lumbar range of motion (ROM) as the weight increased, particularly noticeable during hose advancement and stair climbing tasks. Conversely, an increase in hip ROM during stair climbing was observed, suggesting a compensatory response to reduced spinal flexibility. These findings underscore the critical need to understand the implications of turnout gear and SCBA weight to enhance firefighter performance and reduce the risk of injury.</p>","PeriodicalId":520077,"journal":{"name":"Applied Human Factors and Ergonomics Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11451450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D Numerical Simulation for Thermal Protection of Phase Change Material-Integrated Firefighters' Turnout Gear.","authors":"Susan S Xu, Jonisha Pollard, Weihuan Zhao","doi":"10.54941/ahfe1004871","DOIUrl":"10.54941/ahfe1004871","url":null,"abstract":"<p><p>This work aims to investigate and develop a novel phase change material (PCM)-integrated firefighters' turnout gear technology that would significantly enhance the thermal protection of firefighters' bodies from thermal burn injuries under high-heat conditions (such as in fire scenes). This work established a 3D human thermal simulation to explore the thermal protection improvements of firefighters' turnout gear by using PCM segments under flashover and hazardous conditions. This simulation study will guide future experimental design and testing effectively and save time and effort. The study found that the 3.0-mm-thick PCM segments with a melting temperature of 60°C could extend the thermal protection time for skin surface to reach second-degree burn injury (60°C) by one to three times under flashover conditions compared to the turnout gear without PCM. Moreover, thinner PCM segments, i.e., 1.0-3.0 mm thickness, could also significantly mitigate the skin surface temperature increase while avoiding the added weight on the turnout gear. The 3D modelling results can be used to develop a next-generation firefighter turnout gear technology.</p>","PeriodicalId":520077,"journal":{"name":"Applied Human Factors and Ergonomics Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11451440/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roger D Dias, Steven J Yule, Ryan Harari, Marco A Zenati
{"title":"Exploring Intraoperative Cognitive Biases in Cardiac Surgery Teams.","authors":"Roger D Dias, Steven J Yule, Ryan Harari, Marco A Zenati","doi":"10.54941/ahfe1004831","DOIUrl":"10.54941/ahfe1004831","url":null,"abstract":"<p><p>This study focuses on understanding the influence of cognitive biases in the intra-operative decision-making process within cardiac surgery teams, recognizing the complexity and high-stakes nature of such environments. We aimed to investigate the perceived prevalence and impact of cognitive biases among cardiac surgery teams, and how these biases may affect intraoperative decisions and patient safety and outcomes. A mixed-methods approach was utilized, combining quantitative ratings across 32 different cognitive biases (0 to 100 visual analogue scale), regarding their \"likelihood of occurring\" and \"potential for patient harm\" during the intraoperative phase of cardiac surgery. Based on these ratings, we collected qualitative insights on the most-rated cognitive biases from semi-structured interviews with surgeons, anaesthesiologists, and perfusionists who work in a cardiac operating room. A total of 16 participants, including cardiac surgery researchers and clinicians, took part in the study. We found a significant presence of cognitive biases, particularly confirmation bias and overconfidence, which influenced decision-making processes and had the potential for patient harm. Of 32 cognitive biases, 6 were rated above the 75th percentile for both criteria (potential for patient harm, likelihood of occurring). Our preliminary findings provide a first step toward a deeper understanding of the complex cognitive mechanisms that underlie clinical reasoning and decision-making in the operating room. Future studies should further explore this topic, especially the relationship between the occurrence of intraoperative cognitive biases and postoperative surgical outcomes. Additionally, the impact of metacognition strategies (e.g. debiasing training) on reducing the impact of cognitive bias and improving intraoperative performance should also be investigated.</p>","PeriodicalId":520077,"journal":{"name":"Applied Human Factors and Ergonomics Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11342855/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Susan Xu, Michael Hu, Jeffrey Powell, Ziqing Zhuang
{"title":"Biomechanical Modeling and 3D Simulation of Firefighting Tasks.","authors":"Susan Xu, Michael Hu, Jeffrey Powell, Ziqing Zhuang","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Firefighting is an injury prone occupation. The self-contained breathing apparatus (SCBA) included as part of a firefighter ensemble contributes to these injuries by affecting a firefighter's balance. The objective of this study was to establish a method to determine the maximum allowable weight that would prevent firefighter injury by using a 3-Dimensional Static Strength Prediction Program (3DSSPP). Four representative firefighting tasks (stair climb, hose carry, weighted carry, and rope pull) were used to perform the simulation. A representation of a 50<sup>th</sup> percentile male firefighter was used in 100 simulated trials. Based on a biomechanical model, 3DSSPP calculated lower back (L4/L5) compression forces and the results were compared to the NIOSH guidelines. The maximum safe weight of an SCBA ranged from 35 to 75 lbs. for the tasks examined. Policymakers may use this study's methods and findings to inform evaluation methods and performance requirements that will drive SCBA design improvements, ultimately reducing the risk of injury among firefighters.</p>","PeriodicalId":520077,"journal":{"name":"Applied Human Factors and Ergonomics Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11485195/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142485582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}