Pub Date : 2024-10-01Epub Date: 2024-04-08DOI: 10.1097/SIH.0000000000000790
Laurie Benguigui, Solène Le Gouzouguec, Baptiste Balanca, Maud Ristovski, Guy Putet, Marine Butin, Bernard Guillois, Anne Beissel
Objective: Adherence to the International Liaison Committee on Resuscitation (ILCOR) algorithm optimizes the initial management of critically ill neonates. In this randomized controlled trial, we assessed the impact of a customizable sequential digital cognitive aid (DCA), adapted from the 2020 ILCOR recommendations, compared with a poster cognitive aid (standard of care [SOC]), on technical and nontechnical performance of junior trainees during a simulated critical neonatal event at birth.
Methods: For this prospective, bicentric video-recorded study, students were recruited on a voluntary basis, and randomized into groups of 3 composed of a pediatric resident and two midwife students. They encountered a simulated cardiac arrest at birth either (1) with DCA use and ILCOR algorithm poster displayed on the wall (intervention group) or (2) with sole ILCOR algorithm poster (poster cognitive aid [SOC]). Technical and nontechnical skills (NTS) between the two groups were assessed using a standardized scoring of videotaped performances. A neonate specific NTS score was created from the adult Team score.
Results: 108 students (36 groups of three) attended the study, 20 groups of 3 in the intervention group and 16 groups of 3 in the poster cognitive aid (SOC) group. The intervention group showed a significant improvement in the technical score ( P < 0.001) with an average of 24/27 points (24.0 [23.5-25.0]) versus 20.8/27 (20.8 [19.9-22.5]) in poster cognitive aid (SOC) group. No nontechnical score difference was observed. Feedback on the application was positive.
Conclusions: During a simulated critical neonatal event, use of a DCA was associated with higher technical scores in junior trainees, compared with the sole use of ILCOR poster algorithm.
{"title":"A Customizable Digital Cognitive Aid for Neonatal Resuscitation: A Simulation-Based Randomized Controlled Trial.","authors":"Laurie Benguigui, Solène Le Gouzouguec, Baptiste Balanca, Maud Ristovski, Guy Putet, Marine Butin, Bernard Guillois, Anne Beissel","doi":"10.1097/SIH.0000000000000790","DOIUrl":"10.1097/SIH.0000000000000790","url":null,"abstract":"<p><strong>Objective: </strong>Adherence to the International Liaison Committee on Resuscitation (ILCOR) algorithm optimizes the initial management of critically ill neonates. In this randomized controlled trial, we assessed the impact of a customizable sequential digital cognitive aid (DCA), adapted from the 2020 ILCOR recommendations, compared with a poster cognitive aid (standard of care [SOC]), on technical and nontechnical performance of junior trainees during a simulated critical neonatal event at birth.</p><p><strong>Methods: </strong>For this prospective, bicentric video-recorded study, students were recruited on a voluntary basis, and randomized into groups of 3 composed of a pediatric resident and two midwife students. They encountered a simulated cardiac arrest at birth either (1) with DCA use and ILCOR algorithm poster displayed on the wall (intervention group) or (2) with sole ILCOR algorithm poster (poster cognitive aid [SOC]). Technical and nontechnical skills (NTS) between the two groups were assessed using a standardized scoring of videotaped performances. A neonate specific NTS score was created from the adult Team score.</p><p><strong>Results: </strong>108 students (36 groups of three) attended the study, 20 groups of 3 in the intervention group and 16 groups of 3 in the poster cognitive aid (SOC) group. The intervention group showed a significant improvement in the technical score ( P < 0.001) with an average of 24/27 points (24.0 [23.5-25.0]) versus 20.8/27 (20.8 [19.9-22.5]) in poster cognitive aid (SOC) group. No nontechnical score difference was observed. Feedback on the application was positive.</p><p><strong>Conclusions: </strong>During a simulated critical neonatal event, use of a DCA was associated with higher technical scores in junior trainees, compared with the sole use of ILCOR poster algorithm.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"302-308"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140853328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01Epub Date: 2023-09-21DOI: 10.1097/SIH.0000000000000749
Steven B Greenberg, Noah Ben-Isvy, John Cram, Chi Wang, Steven Barker, T Forcht Dagi, Candy Gonzalez, Fred Shapiro
<p><strong>Introduction: </strong>Combining audiovisual decision support during perioperative critical events might enhance provider diagnostic and therapeutic accuracy and efficiency.</p><p><strong>Methods: </strong>This study is a prospective, randomized controlled pilot trial studying the impact of audiovisual decision support on anesthesia professional performance at NorthShore University HealthSystem's high fidelity simulation center. Twenty anesthesia professionals (>2 years of clinical experience in the current role) were randomized to 2 groups (current care model vs. audiovisual assistance) and underwent 3 periprocedural simulation scenarios, where patient deterioration occurs: anaphylaxis, amniotic fluid embolism, and cardiac arrest during dental case.</p><p><strong>Results: </strong>Overall, there was a statistically significant decrease in the mean and median pooled times to diagnosis in both the amniotic fluid embolism and pediatric dental scenarios. There was a statistically significant increase in the number of participants in the intervention group who made diagnosis 3 before the end of the scene ( P = 0.03) in the amniotic fluid embolism case. In the pediatric dental case, there was a statistically significant reduction in the median time to diagnosis 1 and diagnosis 3 in the intervention group versus control ( P = 0.01 and P = 0.0002). A significant increase in the number of participants in the intervention group versus control made the correct diagnosis 2 before vital sign change 3 ( P = 0.03), and more participants in the intervention group made the correct diagnosis 3 before the end of the scene when compared with control ( P = 0.001). The median time to start intervention 2 during the dental case was statistically significantly greater in the intervention group versus the control ( P = 0.05). All other endpoints were not statistically significant among the 3 simulation scenarios. Six questions were answered by all participants upon immediate completion of the simulation scenarios and revealed that 19 of 20 participants had delivered anesthesia care to patients similar to the 3 simulation scenarios and 18 of 20 participants reported that they would prefer audiovisual assistance to detect abnormalities in vital signs that subsequently provides appropriate diagnostic and therapeutic options.</p><p><strong>Conclusions: </strong>This pilot study suggested some significant improvement in anesthesia professional time to correct diagnosis and completion of identification of the correct diagnosis before the next vital change in the audiovisual cue group versus control, particularly in the outpatient dental case. In addition, the mean and median pooled times to diagnosis were significantly reduced by approximately 1 minute in both evaluated simulation scenarios. The postsimulation survey responses also suggest the desirability of an audiovisual decision support tool among the current anesthesia professional participants. However, overa
{"title":"A Prospective Randomized Controlled Pilot Simulation Study to Investigate the Effect of Audiovisual Decision Support on Diagnosis and Therapeutic Interventions.","authors":"Steven B Greenberg, Noah Ben-Isvy, John Cram, Chi Wang, Steven Barker, T Forcht Dagi, Candy Gonzalez, Fred Shapiro","doi":"10.1097/SIH.0000000000000749","DOIUrl":"10.1097/SIH.0000000000000749","url":null,"abstract":"<p><strong>Introduction: </strong>Combining audiovisual decision support during perioperative critical events might enhance provider diagnostic and therapeutic accuracy and efficiency.</p><p><strong>Methods: </strong>This study is a prospective, randomized controlled pilot trial studying the impact of audiovisual decision support on anesthesia professional performance at NorthShore University HealthSystem's high fidelity simulation center. Twenty anesthesia professionals (>2 years of clinical experience in the current role) were randomized to 2 groups (current care model vs. audiovisual assistance) and underwent 3 periprocedural simulation scenarios, where patient deterioration occurs: anaphylaxis, amniotic fluid embolism, and cardiac arrest during dental case.</p><p><strong>Results: </strong>Overall, there was a statistically significant decrease in the mean and median pooled times to diagnosis in both the amniotic fluid embolism and pediatric dental scenarios. There was a statistically significant increase in the number of participants in the intervention group who made diagnosis 3 before the end of the scene ( P = 0.03) in the amniotic fluid embolism case. In the pediatric dental case, there was a statistically significant reduction in the median time to diagnosis 1 and diagnosis 3 in the intervention group versus control ( P = 0.01 and P = 0.0002). A significant increase in the number of participants in the intervention group versus control made the correct diagnosis 2 before vital sign change 3 ( P = 0.03), and more participants in the intervention group made the correct diagnosis 3 before the end of the scene when compared with control ( P = 0.001). The median time to start intervention 2 during the dental case was statistically significantly greater in the intervention group versus the control ( P = 0.05). All other endpoints were not statistically significant among the 3 simulation scenarios. Six questions were answered by all participants upon immediate completion of the simulation scenarios and revealed that 19 of 20 participants had delivered anesthesia care to patients similar to the 3 simulation scenarios and 18 of 20 participants reported that they would prefer audiovisual assistance to detect abnormalities in vital signs that subsequently provides appropriate diagnostic and therapeutic options.</p><p><strong>Conclusions: </strong>This pilot study suggested some significant improvement in anesthesia professional time to correct diagnosis and completion of identification of the correct diagnosis before the next vital change in the audiovisual cue group versus control, particularly in the outpatient dental case. In addition, the mean and median pooled times to diagnosis were significantly reduced by approximately 1 minute in both evaluated simulation scenarios. The postsimulation survey responses also suggest the desirability of an audiovisual decision support tool among the current anesthesia professional participants. However, overa","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"281-286"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41156495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01Epub Date: 2023-11-13DOI: 10.1097/SIH.0000000000000755
Matthew W Zackoff, David Davis, Michele Rios, Rashmi D Sahay, Bin Zhang, Ian Anderson, Matthew NeCamp, Ingrid Rogue, Stephanie Boyd, Aimee Gardner, Gary L Geis, Ryan A Moore
Introduction: As part of onboarding and systems testing for a clinical expansion, immersive virtual reality (VR) incorporating digital twin technology was used. While digital twin technology has been leveraged by industry, its use in health care has been limited with no prior application for onboarding or training. The tolerability and acceptability of immersive VR for use by a large population of healthcare staff were unknown.
Methods: A prospective, observational study of an autonomous immersive VR onboarding experience to a new clinical space was conducted from May to September 2021. Participants were healthcare staff from several critical care and acute care units. Primary outcomes were tolerance and acceptability measured by reported adverse effects and degree of immersion. Secondary outcomes were attitudes toward the efficacy of VR compared with standard onboarding experiences.
Results: A total of 1522 healthcare staff participated. Rates of adverse effects were low and those with prior VR experience were more likely to report no adverse effects. Odds of reporting immersion were high across all demographic groups, though decreased with increasing age. The preference for VR over low-fidelity methods was high across all demographics; however, preferences were mixed when compared with traditional simulation and real-time clinical care.
Conclusions: Large-scale VR onboarding is feasible, tolerable, and acceptable to a diverse population of healthcare staff when using digital twin technology. This study also represents the largest VR onboarding experience to date and may address preconceived notions that VR-based training in health care is not ready for widespread adoption.
{"title":"Tolerability and Acceptability of Autonomous Immersive Virtual Reality Incorporating Digital Twin Technology for Mass Training in Healthcare.","authors":"Matthew W Zackoff, David Davis, Michele Rios, Rashmi D Sahay, Bin Zhang, Ian Anderson, Matthew NeCamp, Ingrid Rogue, Stephanie Boyd, Aimee Gardner, Gary L Geis, Ryan A Moore","doi":"10.1097/SIH.0000000000000755","DOIUrl":"10.1097/SIH.0000000000000755","url":null,"abstract":"<p><strong>Introduction: </strong>As part of onboarding and systems testing for a clinical expansion, immersive virtual reality (VR) incorporating digital twin technology was used. While digital twin technology has been leveraged by industry, its use in health care has been limited with no prior application for onboarding or training. The tolerability and acceptability of immersive VR for use by a large population of healthcare staff were unknown.</p><p><strong>Methods: </strong>A prospective, observational study of an autonomous immersive VR onboarding experience to a new clinical space was conducted from May to September 2021. Participants were healthcare staff from several critical care and acute care units. Primary outcomes were tolerance and acceptability measured by reported adverse effects and degree of immersion. Secondary outcomes were attitudes toward the efficacy of VR compared with standard onboarding experiences.</p><p><strong>Results: </strong>A total of 1522 healthcare staff participated. Rates of adverse effects were low and those with prior VR experience were more likely to report no adverse effects. Odds of reporting immersion were high across all demographic groups, though decreased with increasing age. The preference for VR over low-fidelity methods was high across all demographics; however, preferences were mixed when compared with traditional simulation and real-time clinical care.</p><p><strong>Conclusions: </strong>Large-scale VR onboarding is feasible, tolerable, and acceptable to a diverse population of healthcare staff when using digital twin technology. This study also represents the largest VR onboarding experience to date and may address preconceived notions that VR-based training in health care is not ready for widespread adoption.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"e99-e116"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72015858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: The optimal simulator training duration for flexible optical bronchoscopic (FOB) intubation is unknown. This study aimed to determine whether a learning curve-based training modality was noninferior to a fixed training time modality in terms of clinical FOB intubation time.
Methods: This multicenter, randomized, noninferiority study was conducted from May to August 2022. Anesthesiology residents or interns were enrolled. Eligible participants were randomized in a 1:1 ratio to receive new learning curve-based simulator training (individualized training time based on performance, group New) or reference fixed training time simulator training (1 hour, group Reference). The primary outcome was the time to complete FOB intubation in patients, which was defined as the time from the introduction of the FOB into the mouth until the first capnography visualization. The margin for detecting clinical significance was defined as 10 seconds.
Results: A total of 32 participants were included in the analysis (16 in each group). All trainees successfully intubated the patients. The mean intubation time (95% confidence interval [CI]) was 81.9 (65.7-98.1) seconds in group New and 97.0 (77.4-116.6) seconds in group Reference. The upper bound of the 1-sided 97.5% CI for the mean difference of clinical intubation time between groups was 9.3 seconds. Noninferiority was claimed. The mean duration of the training in group New was 28.4 (95% CI, 23.5-33.4) minutes. The total number of training procedures on simulators in group New was significantly less than that in group Reference ( P < 0.01).
Conclusions: The clinical FOB intubation time in group New was noninferior to that in group Reference.
{"title":"Optimal Duration of High-Fidelity Simulator Training for Bronchoscope-Guided Intubation: A Noninferiority Randomized Trial.","authors":"Luyang Jiang, Qingmei Yang, Qingyue Li, Bailin Jiang, Ciren Laba, Yi Feng","doi":"10.1097/SIH.0000000000000739","DOIUrl":"10.1097/SIH.0000000000000739","url":null,"abstract":"<p><strong>Introduction: </strong>The optimal simulator training duration for flexible optical bronchoscopic (FOB) intubation is unknown. This study aimed to determine whether a learning curve-based training modality was noninferior to a fixed training time modality in terms of clinical FOB intubation time.</p><p><strong>Methods: </strong>This multicenter, randomized, noninferiority study was conducted from May to August 2022. Anesthesiology residents or interns were enrolled. Eligible participants were randomized in a 1:1 ratio to receive new learning curve-based simulator training (individualized training time based on performance, group New) or reference fixed training time simulator training (1 hour, group Reference). The primary outcome was the time to complete FOB intubation in patients, which was defined as the time from the introduction of the FOB into the mouth until the first capnography visualization. The margin for detecting clinical significance was defined as 10 seconds.</p><p><strong>Results: </strong>A total of 32 participants were included in the analysis (16 in each group). All trainees successfully intubated the patients. The mean intubation time (95% confidence interval [CI]) was 81.9 (65.7-98.1) seconds in group New and 97.0 (77.4-116.6) seconds in group Reference. The upper bound of the 1-sided 97.5% CI for the mean difference of clinical intubation time between groups was 9.3 seconds. Noninferiority was claimed. The mean duration of the training in group New was 28.4 (95% CI, 23.5-33.4) minutes. The total number of training procedures on simulators in group New was significantly less than that in group Reference ( P < 0.01).</p><p><strong>Conclusions: </strong>The clinical FOB intubation time in group New was noninferior to that in group Reference.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"294-301"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10134427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1097/SIH.0000000000000828
{"title":"Artificial Intelligence and the Simulationists: More Iterations Needed: Erratum.","authors":"","doi":"10.1097/SIH.0000000000000828","DOIUrl":"https://doi.org/10.1097/SIH.0000000000000828","url":null,"abstract":"","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-21DOI: 10.1097/SIH.0000000000000809
Johannes Wittig, Kristian Krogh, Erin E Blanchard, Kuan Xing, Jodi Kushner, Anna Bichmann, Rhona Flin, Victoria Brazil, Sara N Goldhaber-Fiebert, John Paige, Kasper G Lauridsen
Summary statement: We conducted a systematic review to assess if any condition before- or after simulation-based training of teamwork competencies for healthcare professionals affects learning or transfer of skills to the clinical environment.We searched CINAHL, Medline, and Embase for studies published between January 1, 2011, and July 10, 2023. We screened 13,149 abstracts and 335 full texts, of which 5 studies were included. We included primary studies with and without a comparator published in English. We assessed risk of bias using the ROBINS-I tool before narrative synthesis. All studies were observational and reported heterogeneous conditions such as posters, coaching, and leadership support initiatives. Very low certainty evidence suggested that implementing conditions in the clinical environment such as coaching, wider communication of learning objectives, or leadership initiatives could be considered to facilitate the transfer of skill to the clinical environment. Funding: Society for Simulation in Healthcare. Prospero registration: CRD42022320721.
{"title":"A Systematic Review on Conditions Before and After Training of Teamwork Competencies and the Effect on Transfer of Skills to the Clinical Workplace.","authors":"Johannes Wittig, Kristian Krogh, Erin E Blanchard, Kuan Xing, Jodi Kushner, Anna Bichmann, Rhona Flin, Victoria Brazil, Sara N Goldhaber-Fiebert, John Paige, Kasper G Lauridsen","doi":"10.1097/SIH.0000000000000809","DOIUrl":"https://doi.org/10.1097/SIH.0000000000000809","url":null,"abstract":"<p><strong>Summary statement: </strong>We conducted a systematic review to assess if any condition before- or after simulation-based training of teamwork competencies for healthcare professionals affects learning or transfer of skills to the clinical environment.We searched CINAHL, Medline, and Embase for studies published between January 1, 2011, and July 10, 2023. We screened 13,149 abstracts and 335 full texts, of which 5 studies were included. We included primary studies with and without a comparator published in English. We assessed risk of bias using the ROBINS-I tool before narrative synthesis. All studies were observational and reported heterogeneous conditions such as posters, coaching, and leadership support initiatives. Very low certainty evidence suggested that implementing conditions in the clinical environment such as coaching, wider communication of learning objectives, or leadership initiatives could be considered to facilitate the transfer of skill to the clinical environment. Funding: Society for Simulation in Healthcare. Prospero registration: CRD42022320721.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142005650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-21DOI: 10.1097/SIH.0000000000000821
Ishan Bhatia, Nicholas Brandmeir
Summary statement: Life and Death 2: The Brain was the first computerized neurosurgical simulator. It was developed as a commercial video game for a general audience. Despite this, it contains many valuable lessons for the simulation and education of nontechnical skills as well as being a historical landmark in the field of neurosurgery and medical simulation.
{"title":"Life and Death 2: The First Neurosurgical Computer Simulation.","authors":"Ishan Bhatia, Nicholas Brandmeir","doi":"10.1097/SIH.0000000000000821","DOIUrl":"https://doi.org/10.1097/SIH.0000000000000821","url":null,"abstract":"<p><strong>Summary statement: </strong>Life and Death 2: The Brain was the first computerized neurosurgical simulator. It was developed as a commercial video game for a general audience. Despite this, it contains many valuable lessons for the simulation and education of nontechnical skills as well as being a historical landmark in the field of neurosurgery and medical simulation.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-16DOI: 10.1097/SIH.0000000000000819
Kimberly P Stone, Lori Rutman, Aaron W Calhoun, Jennifer Reid, Tensing Maa, Komal Bajaj, Marc A Auerbach, Adam Cheng, Louise Davies, Ellen Deutsch, Ilana Harwayne-Gidansky, David O Kessler, Greg Ogrinc, Mary Patterson, Anita Thomas, Cara Doughty
Introduction: With increased incorporation of simulation-based methodologies into quality improvement activities, standards for reporting on simulation-specific elements in healthcare improvement research are needed.
Methods: We followed established consensus process methodology to iteratively create simulation-based extensions for SQUIRE 2.0 reporting guidelines. Initial steps involved forming a steering committee, defining the scope, and conducting premeeting activities with an expert panel of simulation and quality improvement researchers. Recommendations from the expert panel were brought to a consensus meeting where existing guidelines were reviewed and recommendations made. Steering Committee members reviewed all recommendations, reconciled differences, and made final recommendations, which were piloted by experienced simulation and quality improvement researchers.
Results: Fifteen Steering Committee members, 59 experts in simulation and quality improvement research, and 86 consensus meeting attendees reviewed SQUIRE 2.0 reporting guidelines and ultimately recommended simulation-based reporting guidelines for 22 of the 41 (54%) SQUIRE 2.0 guidelines. Those items for which simulation-based extensions were identified were: Notes to Authors, 1 (Title), 2a (Abstract), 2b (Abstract), 4 (Introduction: Available knowledge), 5 (Introduction: Rationale), 7 and 8a & b (Methods: Context and intervention), 9a (Methods - Study of the intervention), 9b (Methods - Study of the intervention), 10a (Methods - Measures), 10b (Methods-Measures), 10c (Methods-Measures), 11b (Methods- Analysis), 12 (Methods - Ethical considerations), 13a (Results), 13e (Results), 14b (Discussion - Summary), 15a-e (Discussion - Interpretation), 16a (Discussion - Limitations), 16b (Discussion - Limitations), 17c (Discussion - Conclusions), and 17d (Discussion - Conclusions).
Conclusions: We created simulation-based extensions to SQUIRE 2.0 reporting guidelines to improve the quality and standardization of reporting on simulation-specific elements of healthcare improvement research.
{"title":"SQUIRE-SIM (Standards for Quality Improvement Reporting Excellence for SIMulation): Publication Guidelines for Simulation-Based Quality Improvement Projects.","authors":"Kimberly P Stone, Lori Rutman, Aaron W Calhoun, Jennifer Reid, Tensing Maa, Komal Bajaj, Marc A Auerbach, Adam Cheng, Louise Davies, Ellen Deutsch, Ilana Harwayne-Gidansky, David O Kessler, Greg Ogrinc, Mary Patterson, Anita Thomas, Cara Doughty","doi":"10.1097/SIH.0000000000000819","DOIUrl":"https://doi.org/10.1097/SIH.0000000000000819","url":null,"abstract":"<p><strong>Introduction: </strong>With increased incorporation of simulation-based methodologies into quality improvement activities, standards for reporting on simulation-specific elements in healthcare improvement research are needed.</p><p><strong>Methods: </strong>We followed established consensus process methodology to iteratively create simulation-based extensions for SQUIRE 2.0 reporting guidelines. Initial steps involved forming a steering committee, defining the scope, and conducting premeeting activities with an expert panel of simulation and quality improvement researchers. Recommendations from the expert panel were brought to a consensus meeting where existing guidelines were reviewed and recommendations made. Steering Committee members reviewed all recommendations, reconciled differences, and made final recommendations, which were piloted by experienced simulation and quality improvement researchers.</p><p><strong>Results: </strong>Fifteen Steering Committee members, 59 experts in simulation and quality improvement research, and 86 consensus meeting attendees reviewed SQUIRE 2.0 reporting guidelines and ultimately recommended simulation-based reporting guidelines for 22 of the 41 (54%) SQUIRE 2.0 guidelines. Those items for which simulation-based extensions were identified were: Notes to Authors, 1 (Title), 2a (Abstract), 2b (Abstract), 4 (Introduction: Available knowledge), 5 (Introduction: Rationale), 7 and 8a & b (Methods: Context and intervention), 9a (Methods - Study of the intervention), 9b (Methods - Study of the intervention), 10a (Methods - Measures), 10b (Methods-Measures), 10c (Methods-Measures), 11b (Methods- Analysis), 12 (Methods - Ethical considerations), 13a (Results), 13e (Results), 14b (Discussion - Summary), 15a-e (Discussion - Interpretation), 16a (Discussion - Limitations), 16b (Discussion - Limitations), 17c (Discussion - Conclusions), and 17d (Discussion - Conclusions).</p><p><strong>Conclusions: </strong>We created simulation-based extensions to SQUIRE 2.0 reporting guidelines to improve the quality and standardization of reporting on simulation-specific elements of healthcare improvement research.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142005653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-08DOI: 10.1097/SIH.0000000000000818
{"title":"Older Taiwanese Volunteers as Standardized Patients: Service Motivation, Identity Formation, and Internal Transformation: Erratum.","authors":"","doi":"10.1097/SIH.0000000000000818","DOIUrl":"https://doi.org/10.1097/SIH.0000000000000818","url":null,"abstract":"","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142005652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-01DOI: 10.1097/SIH.0000000000000736
Micheline L Chipman, Christine M Schreiber, Jamie M Fey, Susan J Lane, Chris DiLisio, Leah A Mallory
Introduction: Simulation is an ideal tool for interprofessional (IP) team training. Debriefing after simulation is key to IP learning, although engagement and participation may be adversely influenced by cultural and hierarchical barriers. This mixed-methods study explored factors influencing learner engagement and participation in IP debriefing and the experience of "silent but apparently engaged" participants.
Methods: Semistructured profession-specific focus groups were conducted with participants from a weekly IP pediatric simulation program. Focus groups were recorded, transcribed, and thematically analyzed. Eligible participants were assigned to "silent" or "verbal" groups according to observed behavior and received a questionnaire. Participants' self-rated engagement scores were compared using a t test.
Results: Thirty-six of 81 eligible participants were included, 13 completed a questionnaire, and 23 (8 physicians, 10 nursing staff, 4 pharmacists, 1 respiratory therapist) participated in 13 focus groups. Twenty-two subthemes were grouped into 6 themes: psychological safety, realism, distractors, stress, group characteristics, and facilitator behavior, with differences in perspective according to profession. Of the 36 respondents, 18 were "silent" and 18 "verbal." Self-rated engagement scores differed between groups (3.65 vs. 4.17, P = 0.06); however, "silent" participants described themselves as engaged.
Conclusions: Themes identified that influenced learner engagement in debriefing included aspects of prebriefing and the simulation. Some aligned with general simulation best practices, such as psychological safety, prebriefing, and facilitator behavior. Findings unique to IP simulation included importance of realism to nonphysician professions, protecting time for training, group composition, and direct probing by cofacilitators to decrease physician bias and emphasize IP contributions. Silent participants reported engagement.
介绍:模拟是跨专业(IP)团队培训的理想工具。模拟后的汇报是 IP 学习的关键,但文化和等级障碍可能会对学员的投入和参与产生不利影响。这项混合方法研究探讨了影响学员投入和参与 IP 汇报的因素,以及 "沉默但表面上参与 "的学员的经历:方法:与每周 IP 儿科模拟项目的参与者进行了半结构化的专业焦点小组讨论。对焦点小组进行了记录、转录和主题分析。根据观察到的行为,将符合条件的参与者分配到 "沉默 "组或 "言语 "组,并向他们发放调查问卷。使用 t 检验比较参与者的自评参与度得分:在 81 名符合条件的参与者中,有 36 人被纳入其中,13 人填写了调查问卷,23 人(8 名医生、10 名护理人员、4 名药剂师、1 名呼吸治疗师)参加了 13 个焦点小组。22 个子主题被归纳为 6 个主题:心理安全、现实主义、干扰因素、压力、小组特征和主持人行为,不同职业的观点存在差异。在 36 位受访者中,18 位是 "沉默型",18 位是 "言语型"。两组参与者的自我评价参与度得分不同(3.65 vs. 4.17,P = 0.06);但是,"沉默 "的参与者认为自己参与度高:结论:影响学员参与汇报的主题包括汇报前和模拟的各个方面。其中一些主题与一般的模拟最佳实践相一致,如心理安全、汇报前和主持人的行为。知识产权模拟的独特发现包括对非医生专业的现实主义的重要性、保护培训时间、小组组成以及共同主持人的直接试探,以减少医生的偏见并强调知识产权的贡献。无声的参与者报告了参与情况。
{"title":"Engagement Across Professions: A Mixed Methods Study of Debriefing After Interprofessional Team Training.","authors":"Micheline L Chipman, Christine M Schreiber, Jamie M Fey, Susan J Lane, Chris DiLisio, Leah A Mallory","doi":"10.1097/SIH.0000000000000736","DOIUrl":"10.1097/SIH.0000000000000736","url":null,"abstract":"<p><strong>Introduction: </strong>Simulation is an ideal tool for interprofessional (IP) team training. Debriefing after simulation is key to IP learning, although engagement and participation may be adversely influenced by cultural and hierarchical barriers. This mixed-methods study explored factors influencing learner engagement and participation in IP debriefing and the experience of \"silent but apparently engaged\" participants.</p><p><strong>Methods: </strong>Semistructured profession-specific focus groups were conducted with participants from a weekly IP pediatric simulation program. Focus groups were recorded, transcribed, and thematically analyzed. Eligible participants were assigned to \"silent\" or \"verbal\" groups according to observed behavior and received a questionnaire. Participants' self-rated engagement scores were compared using a t test.</p><p><strong>Results: </strong>Thirty-six of 81 eligible participants were included, 13 completed a questionnaire, and 23 (8 physicians, 10 nursing staff, 4 pharmacists, 1 respiratory therapist) participated in 13 focus groups. Twenty-two subthemes were grouped into 6 themes: psychological safety, realism, distractors, stress, group characteristics, and facilitator behavior, with differences in perspective according to profession. Of the 36 respondents, 18 were \"silent\" and 18 \"verbal.\" Self-rated engagement scores differed between groups (3.65 vs. 4.17, P = 0.06); however, \"silent\" participants described themselves as engaged.</p><p><strong>Conclusions: </strong>Themes identified that influenced learner engagement in debriefing included aspects of prebriefing and the simulation. Some aligned with general simulation best practices, such as psychological safety, prebriefing, and facilitator behavior. Findings unique to IP simulation included importance of realism to nonphysician professions, protecting time for training, group composition, and direct probing by cofacilitators to decrease physician bias and emphasize IP contributions. Silent participants reported engagement.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"228-234"},"PeriodicalIF":1.7,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9831764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}