Browsing by Subject "Simulation"
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Item Cellular Helmet Liner Design through Bio-inspired Structures and Topology Optimization of Compliant Mechanism Lattices(SAE International, 2018-12-28) Najmon, Joel; DeHart, Jacob; Wood, Zebulun; Tovar, Andres; Department of Mechanical Engineering, School of Engineering and TechnologyThe continuous development of sport technologies constantly demands advancements in protective headgear to reduce the risk of head injuries. This article introduces new cellular helmet liner designs through two approaches. The first approach is the study of energy-absorbing biological materials. The second approach is the study of lattices comprised of force-diverting compliant mechanisms. On the one hand, bio-inspired liners are generated through the study of biological, hierarchical materials. An emphasis is given on structures in nature that serve similar concussion-reducing functions as a helmet liner. Inspiration is drawn from organic and skeletal structures. On the other hand, compliant mechanism lattice (CML)-based liners use topology optimization to synthesize rubber cellular unit cells with effective positive and negative Poisson's ratios. Three lattices are designed using different cellular unit cell arrangements, namely, all positive, all negative, and alternating effective Poisson's ratios. The proposed cellular (bio-inspired and CML-based) liners are embedded between two polycarbonate shells, thereby, replacing the traditional expanded polypropylene foam liner used in standard sport helmets. The cellular liners are analyzed through a series of 2D extruded ballistic impact simulations to determine the best performing liner topology and its corresponding rubber hardness. The cellular design with the best performance is compared against an expanded polypropylene foam liner in a 3D simulation to appraise its protection capabilities and verify that the 2D extruded design simulations scale to an effective 3D design.Item Debriefing For Meaningful Learning: Fostering Development of Clinical Reasoning Through Simulation(2011-02-25) Dreifuerst, Kristina Thomas; Jeffries, Pamela R.; Horton-Deutsch, Sara L.; McNelis, Angela M.; Pesut, Daniel J.There is a critical need for faculty, a shortage of clinical sites, and an emphasis on quality and safety initiatives that drive increasing use of simulation in nursing education. Debriefing is an essential component of simulation, yet faculty are not consistently prepared to facilitate it such that meaningful learning, demonstrated through clinical reasoning, occurs from the experience. The purpose of this exploratory, quasi-experimental, pre-test-post-test study was to discover the effect of the use of a simulation teaching strategy, Debriefing for Meaningful Learning (DML), on the development of clinical reasoning in nursing students. Clinical reasoning was measured in 238 participant students from a Midwestern university school of nursing taking an adult health course that uses simulation. Participants were assigned to either the experimental or control group where the DML was compared to customary debriefing using the Health Sciences Reasoning Test (HSRT) before and after the debriefing experience, and the Debriefing Assessment for Simulation in Healthcare©–Student Version (DASH©–SV) with four supplemental questions about the DML (DMLSQ) process, during the post-debriefing assessment. This research sought to understand if the DML debriefing strategy positively influenced the development of clinical reasoning skills in undergraduate nursing students, as compared to usual and customary debriefing. The data revealed that there was a statistical difference between total mean test scores measured by the HSRT. There was, additionally, statistical significance in the change in scores between pre-test and post-test for those who used the DML as compared to the control. There was also a difference in the student’s perception of the quality of the debriefing measured by the DASH©–SV with the DML rated statistically higher than usual debriefing. Finally, there was a significant correlation, demonstrated through regression analysis, between the change in HSRT scores and students’ perception of quality debriefing and the use of the DML. This study contributes to the growing body of knowledge about simulation pedagogy, provides tools for use in debriefing, and informs faculty on best practices in debriefing.Item Demonstrating the effectiveness of the fundamentals of robotic surgery (FRS) curriculum on the RobotiX Mentor Virtual Reality Simulation Platform(Springer, 2021-04) Martin, John Rhodes; Stefanidis, Dimitrios; Dorin, Ryan P.; Goh, Alvin C.; Satava, Richard M.; Levy, Jeffrey S.; Surgery, School of MedicineFundamentals of robotic surgery (FRS) is a proficiency-based progression curriculum developed by robotic surgery experts from multiple specialty areas to address gaps in existing robotic surgery training curricula. The RobotiX Mentor is a virtual reality training platform for robotic surgery. Our aims were to determine if robotic surgery novices would demonstrate improved technical skills after completing FRS training on the RobotiX Mentor, and to compare the effectiveness of FRS across training platforms. An observational, pre-post design, multi-institutional rater-blinded trial was conducted at two American College of Surgeons Accredited Education Institutes-certified simulation centers. Robotic surgery novices (n = 20) were enrolled and trained to expert-derived benchmarks using FRS on the RobotiX Mentor. Participants’ baseline skill was assessed before (pre-test) and after (post-test) training on an avian tissue model. Tests were video recorded and graded by blinded raters using the Global Evaluative Assessment of Robotic Skills (GEARS) and a 32-criteria psychomotor checklist. Post hoc comparisons were conducted against previously published comparator groups. On paired-samples T tests, participants demonstrated improved performance across all GEARS domains (p < 0.001 to p = 0.01) and for time (p < 0.001) and errors (p = 0.003) as measured by psychometric checklist. By ANOVA, improvement in novices’ skill after FRS training on the RobotiX Mentor was not inferior to improvement reported after FRS training on previously published platforms. Completion of FRS on the RobotiX Mentor resulted in improved robotic surgery skills among novices, proving effectiveness of training. These data provide additional validity evidence for FRS and support use of the RobotiX Mentor for robotic surgery skill acquisition.Item Effectiveness of a comprehensive mental skills curriculum in enhancing surgical performance: Results of a randomized controlled trial(Elsevier, 2017-02) Stefanidis, Dimitrios; Anton, Nicholas E.; Howley, Lisa D.; Bean, Eric; Yurco, Ashley; Pimentel, Manuel E.; Davis, Cameron K.; Surgery, School of MedicineINTRODUCTION: We hypothesized that the implementation of a novel mental skills curriculum (MSC) during laparoscopic simulator training would improve mental skills and performance, and decrease stress. METHODS: Sixty volunteer novices were randomized into intervention and control groups. All participants received FLS training while the intervention group also participated in the MSC. Skill transfer and retention were assessed on a live porcine model after training and 2 months later, respectively. Performance was assessed using the Test of Performance Strategies-2 (TOPS-2) for mental skills, FLS metrics for laparoscopic performance, and the State Trait Anxiety Inventory (STAI-6) and heart rate (HR) for stress. RESULTS: Fifty-five participants (92%) completed training and the transfer test, and 46 (77%) the retention test. There were no significant differences between groups at baseline. Compared to controls the intervention group significantly improved their mental skill use, demonstrated higher laparoscopic skill improvement during retention, and reported less stress during the transfer test. CONCLUSIONS: The MSC implemented in this study effectively enhanced participants' mental skill use, reduced cognitive stress in the operating room with a small impact on laparoscopic performance.Item Emergency Undocking Curriculum in Robotic Surgery(Cureus, 2019-03-26) Ballas, Derek A.; Cesta, Megan; Gothard, David; Ahmed, Rami; Emergency Medicine, School of MedicineIntroduction Traditional instruction for robotic surgery is typically devoid of training that addresses the delineation of interprofessional roles for operating room personnel. An emergency undocking scenario was developed for robotic surgeons with the objectives of improving time to access the patient, provider knowledge of and confidence in emergency undocking, completion of predetermined critical actions, and delineation of operating room personnel roles. Methods Over one month, participants joined in three sessions: Session 1 - formative, Session 2 - review, and Session 3 - summative. Embedded standardized participants (ESPs) represented members of the interprofessional team. Prior to entering the operating room for Sessions 1 and 3, trainees were asked to complete a confidence survey and multiple choice questionnaire (MCQ) for knowledge assessment. Participants were randomized to one of two cases and participated in the reciprocal case for the final session four weeks later. Following Session 1, participants underwent an educational intervention, including the proper technique for emergency undocking, emphasis on operating room personnel roles, and hands-on practice. Obstetrics and Gynecology (OBGYN) residents in post-graduate Years 2-4 and attending physicians with robotics privileges at Summa Health Akron Campus or Cleveland Clinic Akron General Medical Center were invited to participate. A total of 21 participants enrolled and finished the study. Results Among the 21 participants, there was a significant increase in the baseline level of knowledge (p-value=0.001) and in the confidence of surgeons when faced with an emergency undocking after the completion of our curriculum (p-value=0.003). Additionally, an improvement in the undocking times (p-value<0.001) and an increase in the critical actions performed (p-value=0.002) were observed. Conclusion The results of this study demonstrate that incorporating this curriculum into the training programs of robotic surgeons is an effective way to improve the surgical skill of emergency undocking.Item Establishing a Low-Resource Simulation Emergency Medicine Curriculum in Nepal(Association of American Medical Colleges, 2020-07-15) Wang, Alfred; Saltarelli, Nicholas; Cooper, Dylan; Amatya, Yogendra; House, Darlene R.; Emergency Medicine, School of MedicineIntroduction High-fidelity medical simulation is widely used in emergency medicine training because it mirrors the fast-paced environment of the emergency department (ED). However, simulation is not common in emergency medicine training programs in lower-resourced countries as cost, availability of resources, and faculty experience are potential limitations. We initiated a simulation curriculum in a low-resource environment. Methods We created a simulation lab for medical officers and students on their emergency medicine rotation at a teaching hospital in Patan, Nepal, with 48,000 ED patient visits per year. We set up a simulation lab consisting of a room with one manikin, an intubation trainer, and a projector displaying a simulation cardiac monitor. In this environment, we ran a total of eight cases over 4 simulation days. Debriefing was done at the end of each case. At the end of the curriculum, an electronic survey was delivered to the medical officers to seek improvement for future cases. Results All eight cases were well received, and learners appreciated the safe learning space and teamwork. Of note, the first simulation case that was run (the airway lab) was more difficult for learners due to lack of experience. Survey feedback included improving the debriefing content and adding further procedural skills training. Discussion Simulation is a valuable experience for learners in any environment. Although resources may be limited abroad, a sustainable simulation lab can be constructed and potItem Evaluating Shared Decision Making in Trial of Labor After Cesarean Counseling Using Objective Structured Clinical Examinations(Association of American Medical Colleges, 2020) Tucker Edmonds, Brownsyne; Hoffman, Shelley M.; Laitano, Tatiana; McKenzie, Fatima; Panoch, Janet; Litwiller, Abigail; Di Corcia, Mark J.; Obstetrics and Gynecology, School of MedicineIntroduction Although shared decision making (SDM) is optimal for trial of labor after cesarean (TOLAC) counseling, resources to assess residents' clinical competency and communication skills are lacking. We addressed this gap by developing and testing an objective structured clinical examination (OSCE) to evaluate whether learners were able to use SDM in TOLAC counseling. Methods We created three simulation scenarios with increasing complexity to assess the skills of residents in their first, second, or third postgraduate year in using SDM in TOLAC counseling. All cases involved a standardized patient requesting a TOLAC consultation. Residents were provided with a medical history and instructed to counsel and develop a care plan. A 10-item scoring rubric was used, and each item was rated 0 (absent), 1 (partial), or 2 (complete). Three coders independently rated the encounters; discrepancies were resolved by consensus. Results Over 3 years, 39 residents participated in 60 OSCE encounters. The majority provided complete discussions of the clinical issue (93%), chances of success (72%), and maternal and fetal risks (100% and 85%, respectively) but obtained partial assessments of understanding (78%). Discussions of benefits were typically absent, with the exception of the maternal benefits (47%). More than 40% of residents did not discuss the patient's goals, 53% lacked discussion of uncertainties related to TOLAC, and half failed to explore the patient's preference, with most deferring a decision to a future encounter. Discussion Residents consistently discussed diagnosis, prognosis, and maternal risks yet infrequently addressed goals and preferences—two critical elements of SDM.Item Exploring faculty preparation for and use of debriefing with the debriefing for meaningful learning inventory(2016-07-19) Bradley, Cynthia Diane; Dreifuerst, Kristina Thomas; Ironside, Pamela M.; Wonder, Amy Hagedorn; Friesth, Barbara Manz; Jeffries, Pamela R.Debriefing is the most significant component of simulation, yet the impact of debriefer training for this critical time of learning has not been reported. Although training of debriefers in the use of a structured debriefing method has been recommended by nursing organizations and regulating bodies, a description of the impact of training on the understanding and application of debriefing within nursing programs is largely unknown. Debriefing for Meaningful Learning© (DML) is a structured, evidencebased debriefing method that promotes the development of clinical reasoning among prelicensure nursing students. DML has been adopted for use across the curriculum throughout nursing education. However, little is known regarding how debriefers are trained in this method and how that training impacts their understanding and application of the method. The DML Inventory (DMLI), was developed and tested for this research study, and used to assess and document 234 debriefers’ understanding of the central concepts of DML and subsequent application of DML behaviors during simulation debriefing with prelicensure baccalaureate nursing students. Statistically significant differences were found between those debriefers who had and had not been trained in DML. Statistically significant differences were also found in the understanding of the DML central concepts, and in the application of DML based on the types of training the debriefers received. viii The data indicate that DML trained debriefers consistently apply more DML behaviors than those who had not received training, and that multiple sources of training resulted in a more consistent application of DML debriefing behaviors. Furthermore, understanding the central concepts of DML resulted in debriefers consistently applying more debriefing behaviors consistent with the DML design. This study contributes to the growing body of knowledge of debriefing in nursing education and training in evidence-based debriefing methods, by providing a tested instrument that can be used to assess debriefers using DML. The findings also demonstrate the impact of the type of training on how structured debriefing methods are then implemented in teaching-learning environments, which can be used to improve future training.Item Hypothesis Generation Using Network Structures on Community Health Center Cancer-Screening Performance(Elsevier, 2015-10) Carney, Timothy Jay; Morgan, Geoffrey P.; Jones, Josette; McDaniel, Anna M.; Weaver, Michael; Weiner, Bryan; Haggstrom, David A.; BioHealth Informatics, School of Informatics and ComputingRESEARCH OBJECTIVES: Nationally sponsored cancer-care quality-improvement efforts have been deployed in community health centers to increase breast, cervical, and colorectal cancer-screening rates among vulnerable populations. Despite several immediate and short-term gains, screening rates remain below national benchmark objectives. Overall improvement has been both difficult to sustain over time in some organizational settings and/or challenging to diffuse to other settings as repeatable best practices. Reasons for this include facility-level changes, which typically occur in dynamic organizational environments that are complex, adaptive, and unpredictable. This study seeks to understand the factors that shape community health center facility-level cancer-screening performance over time. This study applies a computational-modeling approach, combining principles of health-services research, health informatics, network theory, and systems science. METHODS: To investigate the roles of knowledge acquisition, retention, and sharing within the setting of the community health center and to examine their effects on the relationship between clinical decision support capabilities and improvement in cancer-screening rate improvement, we employed Construct-TM to create simulated community health centers using previously collected point-in-time survey data. Construct-TM is a multi-agent model of network evolution. Because social, knowledge, and belief networks co-evolve, groups and organizations are treated as complex systems to capture the variability of human and organizational factors. In Construct-TM, individuals and groups interact by communicating, learning, and making decisions in a continuous cycle. Data from the survey was used to differentiate high-performing simulated community health centers from low-performing ones based on computer-based decision support usage and self-reported cancer-screening improvement. RESULTS: This virtual experiment revealed that patterns of overall network symmetry, agent cohesion, and connectedness varied by community health center performance level. Visual assessment of both the agent-to-agent knowledge sharing network and agent-to-resource knowledge use network diagrams demonstrated that community health centers labeled as high performers typically showed higher levels of collaboration and cohesiveness among agent classes, faster knowledge-absorption rates, and fewer agents that were unconnected to key knowledge resources. Conclusions and research implications: Using the point-in-time survey data outlining community health center cancer-screening practices, our computational model successfully distinguished between high and low performers. Results indicated that high-performance environments displayed distinctive network characteristics in patterns of interaction among agents, as well as in the access and utilization of key knowledge resources. Our study demonstrated how non-network-specific data obtained from a point-in-time survey can be employed to forecast community health center performance over time, thereby enhancing the sustainability of long-term strategic-improvement efforts. Our results revealed a strategic profile for community health center cancer-screening improvement via simulation over a projected 10-year period. The use of computational modeling allows additional inferential knowledge to be drawn from existing data when examining organizational performance in increasingly complex environments.Item Impact of an untrained CPR Coach in simulated pediatric cardiopulmonary arrest: A pilot study(Elsevier, 2020-12-01) Badke, Colleen M.; Friedman, Matthew L.; Harris, Z. Leah; McCarthy-Kowols, Maureen; Tran, Sifrance; Pediatrics, School of MedicineAim To determine if an untrained cardiopulmonary resuscitation (CPR) Coach, with no access to real-time CPR feedback technology, improves CPR quality. Methods This was a prospective randomized pilot study at a tertiary care children's hospital that aimed to integrate an untrained CPR Coach into resuscitation teams during simulated pediatric cardiac arrest. Simulation events were randomized to two arms: control (no CPR Coach) or intervention (CPR Coach). Simulations were run by pediatric intensive care unit (PICU) providers and video recorded. Scenarios focused on full cardiopulmonary arrest; neither team had access to real-time CPR feedback technology. The primary outcome was CPR quality. Secondary outcomes included workload assessments of the team leader and CPR Coach using the NASA Task Load Index and perceptions of CPR quality. Results Thirteen simulations were performed; 5 were randomized to include a CPR Coach. There was a significantly shorter duration to backboard placement in the intervention group (median 20s [IQR 0–27s] vs. 52s [IQR 38–65s], p=0.02). There was no self-reported change in the team leader's workload between scenarios using a CPR Coach compared to those without a CPR Coach. There were no significant changes in subjective CPR quality measures. Conclusions In this pilot study, inclusion of an untrained CPR Coach during simulated CPR shortened time to backboard placement but did not improve most metrics of CPR quality or significantly affect team leader workload. More research is needed to better assess the value of a CPR Coach and its potential impact in real-world resuscitation.