... 1 Marian University Leighton School of Nursing Doctor of Nursing Practice Final Project Report for Students Graduating in May 2024 Simulation-Based Training for Student Registered Nurse Anesthetists Managing Malignant Hyperthermia Hilda Aveja Marian University Leighton School of Nursing Project Chair: Date of Submission: Lee Ranalli, DNP, CRNA April 22, 2024 2 Table of Contents Abstract............................................................................................................................................4 Simulation-Based Training for Managing Malignant Hyperthermia...............................................5 Background .........................................................................................................................5 Problem Statement...............................................................................................................6 Needs Assessment ...............................................................................................................6 Literature Review.............................................................................................................................6 Search Methodology............................................................................................................7 Importance of Simulations...................................................................................................7 Benefits of Malignant Hyperthermia Simulations...............................................................8 Use of Cognitive Aids in Simulations.................................................................................8 Theoretical Framework...................................................................................................................9 Aim and Objectives ......................................................................................................................10 SWOT Analysis.............................................................................................................................11 Methods .........................................................................................................................................12 Project design.....................................................................................................................12 Setting................................................................................................................................12 Population..........................................................................................................................13 Instructional Design...........................................................................................................13 Measurement Instruments..................................................................................................14 Data Collection..................................................................................................................15 Ethical Considerations/Protection of Human Subjects Results.........................................16 Results ............................................................................................................................................17 Key Action Checklist.........................................................................................................17 Scoring of the Tests...........................................................................................................17 Knowledge Improvement..................................................................................................18 Knowledge Retention........................................................................................................18 Discussion......................................................................................................................................20 3 Conclusion ....................................................................................................................................21 References .....................................................................................................................................22 Appendix A....................................................................................................................................25 Appendix B....................................................................................................................................26 Appendix C....................................................................................................................................29 Appendix D....................................................................................................................................30 Appendix E....................................................................................................................................31 Appendix F....................................................................................................................................38 Appendix G....................................................................................................................................39 Appendix H....................................................................................................................................40 Appendix I.....................................................................................................................................41 4 Abstract Background: Malignant hyperthermia is a disorder of the skeletal muscle that can present as a hypermetabolic response to triggering agents. Anesthesia providers frequently administer these triggers in the operating room. Therefore, it is imperative for providers to receive comprehensive education on malignant hyperthermia. Simulations help ensure their competence in the event of encountering a crisis. Purpose: This projects purpose was to improve malignant hyperthermia knowledge among student registered nurse anesthetists (SRNAs) at a small university in the Midwest through a lecture and simulation of a crisis. Methods: The universitys SRNAs were invited to participate in this project via email. The project consisted of an educational intervention through a lecture and simulation, which took place in the universitys simulation center. Qualitative data was collected with malignant hyperthermia key action checklist. The investigator also collected qualitative data using a pretest and post-test interventional design. Implementation: Ten educational sessions provided to participants (n = 32). Participants took a pre-test to assess their baseline knowledge. Then, they received a lecture, simulation, debrief, and post-test one. Post-test one was given to assess knowledge improvement. Six to eight weeks later, participants received an email to take post-test two, which assessed knowledge retention. Conclusion: Participants collectively received a mean score of 29.1 out of 30 on the key action checklist. The pre-test was assessed against each post-test using a paired samples t-test. Participants showed knowledge improvement from the pre-test to the post-test one (p > 0.05).This knowledge improvement was retained from the pre-test to post-test two (p > 0.05). Keywords: malignant hyperthermia, simulation, mock drill, anesthesia, anesthetist, SRNA, 5 Simulation-Based Training for Managing Malignant Hyperthermia Malignant hyperthermia (MH) is an autosomal dominant disorder of the skeletal muscle that presents as a hypermetabolic response when individuals are exposed to a triggering event (Rosenburg et al., 2007). Triggers for MH-susceptible patients include potent volatile anesthetics (such as sevoflurane, desflurane, and isoflurane), depolarizing neuromuscular blocking agents (such as succinylcholine), and in rare occasions, heat or exercise (Rosenburg et al., 2007). The incidence of MH is rare, but it has the potential for fatal consequences (Rosenbaum et al., 2015). Background The incidence of MH is estimated to range from 1:10,000 to 1:250,00 anesthetics (Rosenbaum et al., 2015). Because MH is a rare event, there is a lack of clinical experience in treating it among anesthesia providers. Anesthesia providers should be the first to recognize MH in the operating room (OR). Nevertheless, any clinician who works where MH-triggering drugs are administered should be able to recognize the signs and symptoms of the disorder. Signs and symptoms can include muscle rigidity, tachycardia, tachypnea, increased production of carbon dioxide, increased consumption of oxygen, acidosis, hyperthermia, rhabdomyolysis, and hyperkalemia (Rosenbaum et al., 2015). These symptoms are related to the bodys hypermetabolic state. Rapid recognition and treatment are vital to improving patient outcomes and reducing mortality risk. Rapid and efficient treatment of MH requires an interdisciplinary approach with effective leadership. Poor communication and team interactions have been shown to lead to poor outcomes in many settings, including the OR (Christian et al., 2006). A coordinated team effort is vital for the prompt treatment of MH. As such, it is necessary to ensure the competency of 6 clinical staff. The American Association of Nurse Anesthesiology (AANA) (n.d.) recommends ensuring clinical team competency through regular training and mock drills. Problem Statement Simulation is a safe and controlled learning environment that effectively teaches handson skills and improves knowledge retention. In healthcare settings, mock drills serve as an invaluable way of replicating rare real-life scenarios, ensuring clinician readiness and confidence if such cases present themselves in the clinical setting. The purpose of this project was to improve MH knowledge among student registered nurse anesthetists (SRNAs) at a small university in the Midwest through a lecture and simulation of an MH crisis. The simulation would theoretically improve the SRNAs knowledge and understanding of how to manage and treat patients with MH. The efficacy of this intervention was evaluated through a pre-test prior to the MH lecture, a post-test immediately following the simulation, and a follow-up post-test six to eight weeks after the simulation. Needs Assessment Providing healthcare professionals with simulation experiences of low probability, highimpact risk scenarios like an MH crisis can allow them to practice managing these scenarios in safe environments. Simulations allow them to learn from their mistakes without harming patients. Consequently, this could lead to improved clinician responses in the clinical setting. A university in the Midwest with a newer nurse anesthesia program has an excellent simulation center for its students. However, it was noted that while the program curriculum covered MH in multiple lectures, it was not covered in simulation. Implementation of an MH lecture concurrently with a simulated MH crisis was still necessary. Literature Review 7 Search Methodology The purpose of this literature review was to examine the current state of literature as it pertains to perceptions of MH simulations and their effectiveness. The databases used to perform the literature search were PubMed and CINAHL. The searches we conducted using the following BOOLEAN phrase "malignant hyperthermia" AND "simulation" AND "education OR training. The key words being malignant hyperthermia, simulation, education, and training. The search in PubMed was completed on November 29, 2022, and it initially yielded 25 results. The results were reduced to 13 documents by filtering in texts that were from 2012 to 2022, studies related to humans, and articles in the English language. The search in CINAHL was completed on November 7, 2022, and it yielded 17 results. The results were reduced to 9 by the use of the same filters used in PubMed. Of the total 42 articles 2 were duplicates. Therefore, 40 articles were screened for eligibility. Subsequently, 11 articles were excluded because they did not relate to MH and simulations. Overall, 10 full text articles were retrieved and assessed for eligibility and all 10 are included in this literature review. Articles older than 10 years were considered if used as a reference in multiple studies retrieved. A PRISMA Flow Diagram for the search methodology is found in APPENDIX A. Importance of Simulations During the literature review, multiple studies assessed the significance of simulation to clinical practice. Many of these studies concluded that simulations allowed participants to experience low-frequency clinical events without risking harm to patients (Bashaw, 2014; Cain et al., 2014; Mullen & Byrd, 2013). Bradshaw (2014) noted that simulation allowed participants to improve their performance. A similar conclusion was also made in studies conducted by Thompson et al. (2017) and Henrichs et al. (2002). These studies showed that their participants 8 reported an increased sense of preparedness for high-stress events such as MH. Matsco et al. (2020) and many studies reported a positive reaction from their participants. Furthermore, the positive reaction led to the implementation of additional simulations (Matsco et al., 2020). Although simulations were found to be an essential tool in experiencing low-frequency events, multiple drawbacks/limitations were identified in the literature. In many of the studies identified, the simulations were provided by employers to their employees or by schools to their students. This is important because the cost of the simulation is usually covered by the business entity to meet the needs of the company instead of the individual. Cannon-Diehl et al. (2014) noted that simulations are an important tool that can be used in continuing education for nurse anesthetists. However, the high cost of simulation technology can limit the development of highfidelity simulation by many smaller/low-cost educators. Several studies assessed the value of simulation in relation to low-frequency events. However, the data in relation to MH remains preliminary. More data needs to be collected within this realm, particularly as it relates to the benefits of an interdisciplinary MH simulation and its effects on collaboration, communication, and knowledge retention. Benefits of Malignant Hyperthermia Simulations Only two studies identified in the literature focused solely on MH simulation-based training (Gallegos & Hennen, 2022; Schaad, 2017). Both of these studies noted that MH simulations improved clinical knowledge and competency. Additionally, Schaad noted that simulation-based training enhanced communication among team members. This is particularly important in regard to MH. During an MH episode, prompt recognition and treatment are crucial. Staff need to be able to communicate and delegate roles appropriately. Use of Cognitive Aids in Simulations 9 Two of the studies identified evaluated the role of cognitive aids (Gallegos & Hennen, 2020; Hardy et al., 2020). Both noted that using a checklist during an MH simulation greatly improved participant adherence to critical steps and guidelines. These two studies highlight the importance of developing effective visual aids and encouraging their use in simulation and real life. The literature matrix is found in APPENDIX B. Theoretical Framework Theoretical frameworks can be used to support and guide new research. The NLN Jeffries Simulation Theory serves as a guide for nurse educators to develop, implement, and evaluate simulation-based education (Cowperthwait, 2020). The theory delineates seven key elements: context, background, design, facilitator/educational practices, participant, simulation experience, and outcomes (Jeffries et al., 2015). 1. Context involves an understanding of how many factors affect a simulation. These can include the environment in which the simulation takes place, the purpose of the simulation, and the evaluation criteria. 2. Background involves elements that are embedded within the context. Background includes resource allocation, goals, expectations of the simulation, and how the simulation fits within a larger curriculum. 3. Design involves the actual development of a simulation and describes key elements such as specific learning objectives, planned facilitator responses, role assignments, simulation flow, and briefing/debriefing strategies. 4. Facilitator and educational practices explain a facilitator's extensive role in the simulation's progression. Facilitators must be able to respond to participant needs by 10 prebriefing participants, adjusting the simulation based on its progression, providing appropriate cues, and debriefing following the simulation. 5. Participant describes how simulation participants affect the simulation. Participant attributes such as age, gender, level of anxiety, self-confidence, and level of preparedness will all affect the simulation. 6. Simulation experience should account for an environment that is learner centered in which learners can be interactive and collaborate. For the simulation to be successful there needs to be trust between the facilitator and participants. This will allow for participant buy-in and promote engagement. 7. Outcomes are divided into three areas: participant, patient, and system outcomes. Research commonly focuses on assessing participant outcomes such as knowledge, confidence, or behavior improvement. However, this theory can also guide research in other ways, such as evaluating patient safety outcomes or organizational cost effectiveness. The NLN Jeffries Simulation Theory served as the theoretical framework for developing this projects simulation-based training for SRNAs managing MH. The theory describes how context and background affect the project. As such, proper planning permitted project members to make changes that provided for the best simulation experience. Furthermore, the theory delineates simulation facilitator and participant attributes conducive to a successful learning environment and simulation experience. These are all concepts that were relevant to developing a successful MH simulation. For a visual representation of this theory please see APPENDIX C. Aim and Objectives 11 This project aimed to improve SRNAs' education and knowledge retention of MH. Consequently, SRNAs' response to MH in the clinical setting should improve, leading to increased patient safety. The main objective was to provide SRNAs with a comprehensive lecture on MH followed by a simulated MH crisis. During the crisis, they would be able to implement knowledge learned in the lecture. The simulation would cover managing the patients status, adjusting the anesthetic, reconstituting/administering dantrolene and other drugs, and placement of charcoal filters. The simulation and debrief session would also allow participants to note the importance of using visual guides and maintaining effective communication. Ultimately, the success of the educational intervention was tested using a pre-test, initial post-test, and follow-up post-test. The goal was to show an improvement in the post-test scores compared to the pre-test scores. SWOT Analysis A SWOT analysis was performed for this project to assess the project for opportunities. For a visual representation of the SWOT analysis please see APPENDIX D. Stakeholders in this project included the author, the university, MH-susceptible patients, and SRNAs. Simulation-based education provides an excellent opportunity for SRNAs to practice managing an MH crisis, all while ensuring patient safety remains uncompromised. Possible threats to this project included poor participant involvement, poor data collection, and facility unwillingness to implement the simulation. However, with the support of the anesthesia faculty, there was strong organizational support. Some possible weaknesses of this project could have been poor resource allocation, lack of MH simulation equipment, and busy student schedules. Potential opportunities for improvement were allocating supplies from medical 12 companies so that a more authentic simulation could be provided. This project presented an opportunity to educate SRNAs on MH and demonstrate that simulation-based training can potentially improve patient care. Methods Project Design This quality improvement project was centered around an MH educational intervention. The project gathered qualitative data through a pre-test and post-test interventional design. The post-test results were then analyzed to assess participants knowledge improvement and retention. The primary aim was to enhance SRNAs education on MH and consequently improve their recognition of and response to MH. Pre-test o Established MH knowledge baseline MH lecture MH crisis simulation Simulation debriefing session Post-test one Evaluated for MH knowledge improvement Post-test two (six to eight weeks later) o Evaluated for MH knowledge retention Setting This project took place in a simulation center for nurse anesthesia at a small private university in the Midwest. The simulation center contained two mock OR suites with high fidelity mannequins. The simulation took place in one of the mock ORs. This allowed SRNAs to 13 use a mannequin, anesthesia machine, OR supplies, and monitors with visual/auditory feedback. Population The sample was a convenience sample of SRNAs from the university. SRNAs from all cohorts were invited to attend. The exclusion criteria were any participant who could not participate during the whole lecture or simulation. The investigator sent several emails inviting all SRNAs to attend. A total of 32 SRNAs participated in the pre-test, lecture, and simulation. Of the initial 32 participants, only 31 completed post-test one. 18 participants took post-test two. However, only 12 of the 18 tests could be linked to their pre-test and post-test one. Below, readers will find a table representation depicting the age range, anticipated graduation year, and sex of the participants who took the tests. Pre-test (n=32) Demographics Count % of sample 20-30 years old 20 62.50% 30-40 years old 12 37.50% 2024 2 6.25% 2025 7 21.88% 2026 23 71.88% Male 8 25.00% Female 24 75.00% Post-test 1 (n=31) Demographics Count 20-30 years old 30-40 years old 2024 2025 2026 Male Female % of sample 20 64.52% 11 35.48% 2 6.45% 7 22.58% 22 70.96% 7 22.58% 24 75.00% Post-test 2 (n=12) Demographics Count 20-30 years old 30-40 years old 2024 2025 2026 Male Female 9 3 0 1 11 4 8 % of sample 75.00% 25.00% 0.00% 8.33% 91.66% 33.33% 66.66% Instructional design The MH lecture (APPENDIX E) was developed based on current MH knowledge. The resources used included Millers Anesthesia, 8th edition (Gropper & Miller, 2020), Clinical Anesthesia, 8th ed. (Barash et al., 2017), Obstetrics Anesthesia (Chestnut et al., 2020), and the Malignant Hyperthermia Association of the United States (MHAUS). MHAUS is a leading professional organization that promotes optimum care and scientific understanding of MH (Malignant Hyperthermia Association of the United States, n.d.). The lecture covers the pathophysiology of the disease, diagnostic criteria, and treatment options. The lecture was 14 assessed by Dr. Lee Ranalli, CRNA and DNP chair of this project, for face validity. The lecture was presented in person to SRNAs, and time was allotted for questions. Ten lectures were provided from February 12, 2024, to February 15, 2024. Ten education sessions were provided to ensure maximum attendance. After each lecture, an MH crisis simulation took place. The MH scenario was based on typical clinical presentations discussed in the lecture. The specific case details can be found in APPENDIX F. The simulation occurred in one of the universitys ORs with a high-fidelity mannequin and anesthesia machine. The OR was also equipped with continuous auditory and visual feedback vital signs. SRNAs had access to medical supplies and equipment during the simulated case. There were mock charcoal filters to practice placing them on the breathing circuit during simulation, and educational Ryanodex formulations were also available to practice reconstituting the drug. During the simulation, the performance of each group of participants was observed, and key tasks/actions were documented in a checklist. These were documented so that the investigator could provide feedback to each group during the debriefing sessions. During the debrief, participants were also able to share their thoughts on the experience. Measurement instruments One pre-test and two post-tests were given. All three tests were identical. Once participants agreed to partake in the project, they were asked a few demographic questions. These questions included age range, gender, and anticipated graduation year. Additionally, the tests contained five knowledge-based questions covered in the MH lecture. The knowledgebased questions remained the same in the pre-test and post-tests to allow for comparison and evaluation of knowledge retention. These tests were assessed for face validity by Dr. Ranalli. This test can be found in APPENDIX G. 15 During the simulation, participant groups were observed for technical tasks being performed. The tasks were assessed with a key action checklist. The checklist consisted of tasks that are critical in the treatment of a patient experiencing an MH crisis. Groups were expected to perform these tasks. The observer noted when tasks were met, partially met, and unmet. The group's overall performance was discussed in the debrief session. The debrief covered areas in which the group performed appropriately and areas that needed improvement. The checklist was assessed for content validity by Dr. Ranalli. See APPENDIX H for the key action checklist created. The creation of this checklist was influenced by Murray et al.'s (2005) checklist and key action scoring system for simulation exercises. Data Collection Participants were recruited for this project by the investigator via an email invitation. The email invitation included a link to sign up for the MH simulation. Recipients of this email included SRNAs from all cohorts at the university. Attendance of the education and simulation was voluntary. The educational intervention took place February 12-15, 2024. Ten educational sessions were held with groups of one to five participants. During simulation days, data was voluntarily collected before the lecture via an anonymous Qualtrics link to the pre-test, during the simulation via a key action checklist, and after the debriefing via an anonymous Qualtrics link to post-test one. Six to eight weeks following the simulation, two additional emails were sent to the SRNA cohorts inviting them to click on an anonymous Qualtrics link to take post-test two. Post-test two was the last data collected from participants. Informed consent was provided to participants in attendance. Individuals were informed of this project's purpose, aim, and objectives via the invitational email before initiating the pre-test. They were informed that their participation in the project was voluntary. If they 16 chose not to participate or wished to withdraw from the project at any time, there would be no consequences. The investigator provided participants with an email address and phone number that they could use to contact the investigator with any questions, concerns, or needs related to this project. The pre-test was given to participants in the lecture room via a scannable QR code that led them to the test. The investigator gave them the pre-test prior to the lecture. Following the lecture and simulation, participants received post-test one. Participants found the link to the test via a scannable QR code. This test was assessed for knowledge improvement. Six to eight weeks after the education, participants received post-test two via an anonymous Qualtrics link. Post-test two assessed for knowledge retention. These tests were used to assess a participant's knowledge improvement and retention. Data was also collected via direct observation during the simulation. This data was recorded using the key action checklist. Ethical Considerations/ Protection of Human Subjects The identity of participants was kept private and protected. For data collection purposes, participants were asked to provide the last four digits of their student ID number or any four-digit code they could remember before taking the pre-test and post-tests. These four-digit codes were used to link tests. All participants anonymity was protected. The project creator cannot access participants identities with the last four digits they provided. Additionally, only the project creator had access to their individualized data to protect their identity further. The university only had access to aggregate data. Data was transferred from Qualtrics to Microsoft Excel for evaluation purposes, and it was kept on a password-protected computer that was stored in a safe and secure location. 17 IRB approval from Marian University was attained prior to implementing this project. This is found in APPENDIX I. Results Key Action List Ten groups participated in the simulation experience. The groups consisted of one to five participants, comprising 32 participants. Their actions were observed and scored during the simulation using a key action checklist. Groups fully meeting an action warranted three points, partially meeting an action warranted two points, and not meeting an action warranted one point. The maximum number of points the ten groups could collectively earn in each category was 30. The mean score for each category was 29.1 (95% CI[28.6-29.6]). Table one shows how the ten groups scored in the key action checklist.. Table 1 Malignant Hyperthermia Checklist Met: 3pts 1. Call for help & notify surgeon 2. Get MH cart, code cart, cooling measures, call MHAUS 3. Discontinue triggering agent; continue IV sedation 4. Hyperventilate the patient with 100% FiO2 5. Increase fresh gas flow 10 L/min 6. Insert activated charcoal filters 7. Administer dantrolene 8. Administer bicarbonate 9. Monitor core temperature 10. Control patient temperature appropriately 11. Monitor and treat arrythmias 12. Maintain urine output > 1-2 mL/kg/hr with foley catheter 13. Monitor blood gases, electrolytes, CK 14. Analyze coagulation studies 15. Transfer to ICU & monitor 24-48 hours 10 groups Partially Did not meet: met: 2 pts 1 pt Collective points 30 10 groups 30 9 groups 1 group 9 groups 10 groups 9 groups 9 groups 10 groups 10 groups 9 groups 9 groups 1 group 1 group 1 group 1 group 1 group 8 groups 2 groups 8 groups 9 groups 9 groups 1 group 1 group 1 group 1 group 29 29 30 29 29 30 30 29 28 28 27 29 29 Scoring of the Tests The three tests were scored from zero to five points (0-100%). Participants received zero points if they answered a question incorrectly and one point if they answered a question correctly. 18 Knowledge Improvement A total of 32 participants took the pre-test, which was given before the lecture and simulation to establish baseline knowledge. Immediately following the simulation debrief session, participants were invited to take post-test one. Only 31 of these participants took posttest one. The post-test one was given to compare its results to the pre-test. The mean scores of both these tests were evaluated using a paired t-test. The mean score achieved by participants taking the pre-test was 2.5 points. Meanwhile, the mean score achieved by participants taking post-test one was 4.5 points. The data showed that the mean score from the pre-test to post-test one increased by 2 points (95% CI [1.52-2.5]). This was a statistically significant improvement (p <0.05). Tables two and three show the paired t-test results described above and the descriptive statistics on the mean score differences between the two tests. Table 2 Column1 Post-test 1 Pre-test Mean 4.580645161 2.5483871 Variance 0.31827957 1.38924731 Observations 31 31 Pearson Correlation -0.14391726 Hypothesized Mean Difference 0 df 30 t Stat 8.211184815 P(T<=t) one-tail 1.81828E-09 t Critical one-tail 1.697260887 P(T<=t) two-tail 3.63657E-09 t Critical two-tail 2.042272456 Table 3 Differences Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count Confidence Level(95.0%) Column1 2.0322581 0.2474988 2 2 1.3780148 1.8989247 -0.689778 0.3470417 5 0 5 63 31 0.5054599 Knowledge Retention Of the 32 participants who took the pre-test, only 12 took both post-tests. The mean scores of the pre-test, post-test one, and post-test two were compared to assess MH knowledge retention among these 12 participants. 19 The mean score of the participants taking the pre-test was 3.2 points. The mean score of post-test one was 4.5 points. While the mean score of post-test two was also 4.5 points. Table 4 shows these four mean scores. Table 4 n=12 Mean Pre-test Post-test 1 Post-test 2 3.166666667 4.5 4.5 When comparing the mean score of the pre-test versus post-test two, there was an average improvement in scores of 1.3 points (95% CI [0.83-1.83]). This improvement was statistically significant (p <0.05). Tables five and six show the paired t-test results described above and the descriptive statistics on the mean score differences between the two tests Table 5 Column1 Mean Variance Observations Pearson Correlation Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Post-test 2 Pre-test 4.5 3.1666667 0.636363636 1.0606061 12 12 0.663940002 0 11 5.93295879 4.91565E-05 1.795884819 9.8313E-05 2.20098516 Table 6 Difference Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count Confidence Level(95.0%) Column1 1.3333333 0.2247333 1 1 0.7784989 0.6060606 0.924 0.6679521 3 0 3 16 12 0.4946346 Interestingly, the mean scores of the post-test one and post-test two were the same: 4.5 points. However, this was not statistically significant (p =1). The data showed that the difference between the mean score of post-test one and the post-test two was 0 (95% CI [-0.72-0.72]). Please refer to tables seven and eight below. Tables seven and eight show the paired t-test results described above and the descriptive statistics on the mean score differences between the two tests. 20 Table 7 Column1 Mean Variance Observations Pearson Correlation Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Table 8 Post-test 2 4.5 0.636363636 12 -0.169030851 0 11 0 0.5 1.795884819 1 2.20098516 Post-test 1 4.5 0.454545455 12 Difference Mean Standard Error Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count Confidence Level(95.0%) Column1 0 0.3256695 0 0 1.1281521 1.2727273 -0.3367347 0 4 -2 2 0 12 0.7167937 Discussion Collectively, the groups scored fairly well during the simulation. When responding to crisis situations, team dynamics are essential. In a study conducted by Christian et al. (2006), they found that a major contributor to compromising patient safety was communication breakdown and information loss. During the MH lecture, participants were encouraged to use closed-loop communication, delegate roles and tasks, and use visual aids while in the simulation. There were several key actions during the simulations that groups missed due to poor communication and lack of using an MH checklist/guide. Coordinated team efforts are necessary for the prompt treatment of an MH crisis. Teams should always set roles and delegate tasks during a crisis. Additionally, they should ensure closed-loop communication with frequent check-ins to see what tasks have been done and what still needs to be done. Simulation-based training is an effective means of improving educational outcomes. Participants taking the pre-test had a mean score of 64%. Following the lecture, simulation, and debrief session, participants who took post-test one had a mean score of 90%. This improved mean score remained at 90% in post-test two despite being taken six to eight weeks following the 21 simulation. These results support the proposal that simulation-based training will improve MH knowledge and retention among SRNAs. While this project has provided valuable insights, it is important to acknowledge its limitations. The small sample size, with a higher attendance rate from first and second year SRNAs, is a factor that needs to be addressed in future studies. It is crucial to replicate this project at other healthcare centers and schools to further validate its findings and ensure its applicability across different settings. Conclusion It is well known that MH is a rare event in the OR. Many anesthetists may never experience an MH crisis throughout their careers. For this reason, it would be beneficial for healthcare centers that provide MH triggering agents to implement regular intervals of MH crisis simulations. These simulations could provide clinicians with the opportunity to practice treating crises in a safe setting, improving their overall knowledge of MH. 22 References American Association of Nurse Anesthesiology. (n.d.). Malignant Hyperthermia Crisis Preparedness and Treatment. https://www.aana.com/docs/default-source/practice-aanacom-web-documents-(all)/malignant-hyperthermia-crisis-preparedness-andtreatment.pdf?sfvrsn=630049b1_8 Barash, P. G., Cullen, B. F., Stoelting, R. K., Cahalan, M. K., Stock, M. C., Ortega, R., Sharar, S. R., & Holt, N. F. (2017). Clinical anesthesia (8th ed.). Lippincott Williams & Wilkins. Bashaw, M. (2016). Integrating simulations into perioperative education for undergraduate nursing students. AORN Journal, 103(2). https://doi.org/10.1016/j.aorn.2015.12.017 Cain, C. L., Riess, M. L., Gettrust, L., & Novalija, J. (2014). Malignant hyperthermia crisis: Optimizing patient outcomes through simulation and interdisciplinary collaboration. AORN Journal, 99(2), 300311. https://doi.org/10.1016/j.aorn.2013.06.012 Chestnut, D. H., Wong, C. A., Tsen, L. C., Ngan Kee, W. D., Beilin , Y., Mhyre , J. M., & Bateman , B. T. (2020). Chestnut's obstetric anesthesia: Principles and practice (6th ed.). Elsevier. Christian, C. K., Gustafson, M. L., Roth, E. M., Sheridan, T. B., Gandhi, T. K., Dwyer, K., Zinner, M. J., & Dierks, M. M. (2006). A prospective study of patient safety in the operating room. Surgery, 139(2), 159173. https://doi.org/10.1016/j.surg.2005.07.037 Cowperthwait, A. (2020). NLN/Jeffries Simulation Framework for simulated participant methodology. Clinical Simulation in Nursing, 42, 1221. https://doi.org/10.1016/j.ecns.2019.12.009 23 Gallegos, E., & Hennen, B. (2022). Malignant hyperthermia preparedness training: Using cognitive aids and emergency checklists in the perioperative setting. Journal of PeriAnesthesia Nursing, 37(1), 2428. https://doi.org/10.1016/j.jopan.2020.09.020 Gropper, M. A., & Miller, R. D. (2020). Miller's anesthesia (9th ed.). Elsevier. Hardy, J.-B., Gouin, A., Damm, C., Compre, V., Veber, B., & Dureuil, B. (2018). The use of a checklist improves anaesthesiologists technical and non-technical performance for simulated malignant hyperthermia management. Anaesthesia Critical Care & Pain Medicine, 37(1), 1723. https://doi.org/10.1016/j.accpm.2017.07.009 Jeffries, P. R., Rodgers, B., & Adamson, K. (2015). NLN Jeffries Simulation Theory: Brief Narrative Description. Nursing Education Perspectives, 36(5), 292293. https://doi.org/10.5480/1536-5026-36.5.292 Malignant Hyperthermia Association of the United States. (n.d.). What is MH / MHAUS? MHAUS. Retrieved January 15, 2023, from https://www.mhaus.org/about/what-is-mhmhaus/ Matsco, M., Marich, M., & Parke, P. (2020). Setting the foundation for an in situ simulation program through the development of a malignant hyperthermia simulation in the Operating Room. The Journal of Continuing Education in Nursing, 51(11), 523527. https://doi.org/10.3928/00220124-20201014-09 Murray, D., Boulet, J., Kras, J., McAllister, J., & Cox, T. (2005). A simulation-based acute skills performance assessment for anesthesia training. Anesthesia & Analgesia, 101(4), 11271134. 10.1213/01.ane.0000169335.88763.9a Mullen, L., & Byrd, D. (2013). Using simulation training to improve perioperative patient safety. AORN Journal, 97(4), 419427. https://doi.org/10.1016/j.aorn.2013.02.001 24 National League for Nursing. (2022). Tools and Instruments. National League for Nursing. Retrieved January 13, 2023, from https://www.nln.org/education/teachingresources/tools-and-instruments Rosenberg, H., Davis, M., James, D., Pollock, N., & Stowell, K. (2007). Malignant hyperthermia. Orphanet Journal of Rare Diseases, 2(1). https://doi.org/10.1186/17501172-2-21 Rosenberg, H., Pollock, N., Schiemann, A., Bulger, T., & Stowell, K. (2015). Malignant hyperthermia: A Review. Orphanet Journal of Rare Diseases, 10(1). https://doi.org/10.1186/s13023-015-0310-1 Schaad, S. (2017). Simulation-based training: Malignant hyperthermia. AORN Journal, 106(2), 158161. https://doi.org/10.1016/j.aorn.2017.06.008 Thompson Bastin, M. L., Cook, A. M., & Flannery, A. H. (2017). Use of simulation training to prepare pharmacy residents for medical emergencies. American Journal of Health-System Pharmacy, 74(6), 424429. https://doi.org/10.2146/ajhp160129 25 Appendix A Screening Identification Identification of studies via databases Records identified from: PubMed (n =25 ) CINAHL (n= 17) Total (n=42) Records removed before screening: Records removed for other reasons PubMed (n= 11) CINHAL (n= 9) Records screened PubMed (n= 24) Cinhal (n=16) Records excluded (n= 11) Duplicate records removed (n= 2) Reports sought for retrieval (n = 10) Reports not retrieved (n= 0) Reports assessed for eligibility (n = 10) Included Reports excluded: n= 0 Studies included in review (n= 10) *Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). From: Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71 For more information, visit: http://www.prisma-statement.org/ 26 Appendix B Citation Bashaw, M. (2016). Integrating simulations into perioperative education for undergraduate nursing students. AORN Journal, 103(2). https://doi.org/10.1016/j.aorn.2015.12.017 Cain, C. L., Riess, M. L., Gettrust, L., & Novalija, J. (2014). Malignant hyperthermia crisis: Optimizing patient outcomes through simulation and interdisciplinary collaboration. AORN Journal, 99(2), 300311. https://doi.org/10.1016/j.aorn.2013.06.012 Cannon-Diehl, M. R., Rugari, S. M., & Jones,, T. S. (2012). High-fidelity simulation for continuing education in nurse anesthesia. AANA Journal, 80(3), 191196. Research Design & Level of Evidence Qualitative evaluation; level 3 Population / Sample size n=x 9 Quality improvement project; Level 5 33 Needs assessment non experimental study, level 3 22 Major Variables Instruments / Data collection Results -Only nursing roles -Mock OR -Class hours-> convenience sample -High fidelity simulator -Clinical faculty members who hold CNOR certification led the simulation experience. n/a Debrief QSEN competencies discussed Simulation allows students to experience untoward patient outcomes without jeopardizing patients, especially for lowvolume, high-risk scenarios. Also allowed student nurses to evaluate and improve their performance in a safe learning environment without risking harm to actual patients. Clarifying who performs the different tasks in an MH emergency simulation improves efficiency in an emergency response. Simulation is a recognized educational method that can be used to help personnel acquire the skills necessary to respond efficiently to an MH event. -Age -Years of practice -Practice setting -Experience with HFS Debrief and observational Pilot survey The higher cost of simulation technology, as opposed to traditional teaching and learning methods, has been cited as a barrier to simulation. 59% of nurse anesthetists polled would pay extra to experience HFS for continuing education. High-risk, low frequency events such as cardiopulmonary resuscitation, anesthesia machine mishaps, and malignant hyperthermia 27 Gallegos, E., & Hennen, B. (2022). Malignant hyperthermia preparedness training: Using cognitive aids and emergency checklists in the perioperative setting. Journal of PeriAnesthesia Nursing, 37(1), 2428. https://doi.org/10.1016/j.jopan.2020.09.02 Qualitative study; level 3 13 Hardy, J.-B., Gouin, A., Damm, C., Compre, V., Veber, B., & Dureuil, B. (2018). The use of a checklist improves anaesthesiologists technical and nontechnical performance for simulated malignant hyperthermia management. Anaesthesia Critical Care & Pain Medicine, 37(1), 1723. https://doi.org/10.1016/j.accpm.2017.07.009 Henrichs, B., Rule, A., Grady, M., & Ellis, W. (2002). Nurse anesthesia students perceptions of the anesthesia patient simulator: a qualitative study. AANA Journal, 70(3), 219225. Prospective study; level 2 24 Qualitative study; level 3 12 Matsco, M., Marich, M., & Parke, P. (2020). Setting the foundation for an in situ simulation program through the development of a malignant hyperthermia simulation in the Operating Room. The Journal of Continuing Education in Nursing, 51(11), 523527. Descriptive simulation evaluation; level 5 n/a -previous experience with cognitive aid education -participants different work backgrounds/ experience -previous experience with simulations -years of experience -clinical experience with MH Scenario, group size, time Post implementation survey -staff scheduled to work -staff unaware simulation taking place before hand Observational timeline collection, debrief with theme collection Performance evaluation tool based on SFAR guidelines Observation, journal entries, focus group interview were cited as highly effective events to be used in simulation The use of simulated exercises incorporating cognitive aid tools was the best way to ensure participants would include critical MH treatment steps in their response and retain this information in the long term Anesthesiologists use of the MH checklist during a simulation session widely improved their adherence to guidelines and non-technical skill Disadvantages include the lack of reality, lack of knowledge on handling crisis events, possibility of fixation errors, and the presence of anxiety. Advantages include improved critical thinking and decisionmaking skills, increased confidence, and improved clinical preparation. Results can be used to assist instructors in improving the students learning experiences a positive reaction from this in situ training led to additional simulation requests for the education department. 28 https://doi.org/10.3928/0022012420201014-09 Mullen, L., & Byrd, D. (2013). Using simulation training to improve perioperative patient safety. AORN Journal, 97(4), 419 427. https://doi.org/10.1016/j.aorn.2013.02.001 Descriptive simulation evaluation; level 5 n/a n/a Observational recording Schaad, S. (2017). Simulation-based training: Malignant hyperthermia. AORN Journal, 106(2), 158161. https://doi.org/10.1016/j.aorn.2017.06.008 Thompson Bastin, M. L., Cook, A. M., & Flannery, A. H. (2017). Use of simulation training to prepare pharmacy residents for medical emergencies. American Journal of Health-System Pharmacy, 74(6), 424429. https://doi.org/10.2146/ajhp160129 Nonexperimental study; level 3 >100 n/a Verbal feedback Qualitative research; level 3 20 -Clinical scenario -PGY1 vs PGY2 Survey Simulations safely identify problems that can happen during emergencies and allow staff members to evaluate their performance and improve it without risking harm to patients Improved clinical knowledge and competency relate. SBT enhanced communication among team members. Simulation training increased pharmacy residents selfreported preparedness for highstress, high-impact clinical scenarios and medical emergencies 29 Appendix C 30 Appendix D Project SWOT Analysis 31 APPENDIX E 32 33 34 35 36 37 38 Appendix F Case: Natalie Maye Age: 17 year old Gender: female Weight: 55 kg Height: 160 cm Surgery: left rotator cuff repair Anesthesia: general Surgical position: sitting Past medical history: none No known allergies Full code Family history: Father: (43 years old) no anesthesia history Mother: (40 years old) history of appendectomy at 14 years old without complications No siblings 39 Pre-test/ post-test one/ post-test two Appendix G 1. Select 2 early clinical signs of MH: a. Hyperthermia b. Tachypnea c. Elevated EtCo2 d. Hyperkalemia 2. What is the initial dose of dantrolene used to treat malignant hyperthermia? a. 0.25 mg/kg b. 2.5 mg/kg c. 0.15 mg/kg d. 1.5 mg/kg 3. What 2 conditions are NOT associated with malignant hyperthermia? a. Multiminicore disease b. Duchenne muscular dystrophy c. RyR1 myopathy d. Becker muscular dystrophy 4. Select the 2 answer choices that are NOT a trigger for malignant hyperthermia? a. Halogenated anesthetics b. Depolarizing muscle relaxants c. Non-depolarizing muscle relaxants d. IV anesthetics 5. Which test can be used to test for malignant hyperthermia susceptibility? a. Dibucaine inhibition test b. Caffeine halothane contracture test c. Total serum tryptase d. MTHFR gene detection 40 Appendix H Malignant Hyperthermia Checklist 1. 2. 3. 4. 5. 6. 7. Met Call for help & notify surgeon Get MH cart, code cart, cooling measures, call MHAUS Discontinue triggering agent; continue IV sedation 10 Hyperventilate the patient with 100% FiO2 Increase fresh gas flow 10 L/min Insert activated charcoal filters Administer dantrolene 9 8. Partially Met Did Not Meet Notes 10 9 1 (did not start TIVA until further prompted) 1(only increased FiO2) 10 9 9 Administer bicarbonate 9. Monitor core temperature 10. Control patient temperature appropriately 10 11. Monitor and treat arrythmias 9 12. Maintain urine output > 1-2 mL/kg/hr with foley catheter 8 13. Monitor blood gases, electrolytes, CK 8 14. Analyze coagulation studies 9 15. Transfer to ICU & monitor 24-48 hours 9 1 (placed incorrectly) 1 (mixed drug and forgot to give it until further prompted) 1-2 meq/kg (corrects lactic acidosis) 10 9 1 (cold IVF & lavage) 1 (did not teat life threatening arrythmia promptly with CPR) 2 (forgot to place foley and give diuretics until further prompting) 1 (did not order labs until further prompted) 1 (did not order labs until further prompted) 1 (needed prompting) Cools to 38 degrees then stops Cold IVF Lavage Icepacks Procainamide 15 mg.kg IV Lidocaine 2 mg/kg IV No CaCH blocker life threatening hyperkalemia IV hydration Mannitol 0.25g/kg Lasix 1 mg/kg IV 1 (late treatment of hyperkalemia) High k= 5-10mg/kg CaCl Insulin 0.15 u/kg +D50 1mL/kg Hyperventilate 41 Appendix I ...