Dataset Information

Positive emotions for promoting quality improvement of extracorporeal membrane oxygenation therapy for COVID-19: In situ interprofessional simulation.

ABSTRACT:

Aim

The requirement during the COVID-19 pandemic to provide extracorporeal membrane oxygenation (ECMO) treatment regardless of experience caused high levels of anxiety among healthcare professionals. The aim of the present study was to evaluate the effectiveness of an in situ interprofessional simulation training conducted to improve readiness and preparedness for ECMO management of patients with COVID-19 at a non-high-volume ECMO centre.

Methods

Three emergency physicians, three clinical engineers and two nurses attended the 3-h simulation held at Hirosaki University Hospital in December 2021, during the COVID-19 pandemic. The training comprised a 30-min briefing, a 1-h ECMO circuit change session, a 1-h in-hospital transfer simulation for CT and a 30-min debriefing. Before and after the training, participants completed an online survey of their emotions, based on the Japanese version of the Medical Emotion Scale (J-MES). Related-samples Wilcoxon signed rank test was used to assess potential changes in emotional responses before and after the simulation, and p < 0.05 was considered to indicate significance.

Results

Participants' positive deactivating emotions increased from a median of 3.3 (range, 2.0-4.5) before the simulation to 4.0 (range, 2.5-5.0) after the simulation (p = 0.02), which indicates favourable performance according to the control value theory of educational psychology. There was no statistically significant change in other emotional categories.

Conclusion

Participants' positive deactivating emotions increased significantly following an in situ ECMO simulation training, which indicates the efficacy of the training for improving the quality of ECMO management in patients with COVID-19.

SUBMITTER: Nomura O

PROVIDER: S-EPMC11342042 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature

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Publications

Positive emotions for promoting quality improvement of extracorporeal membrane oxygenation therapy for COVID-19: In situ interprofessional simulation.

Nomura Osamu O Aoyagi Arisa A Irie Jin J Goto Takeshi T Sugiyama Kana K Hanada Hiroyuki H Ishizawa Yoshiya Y

Acute medicine & surgery 20240101 1

<h4>Aim</h4>The requirement during the COVID-19 pandemic to provide extracorporeal membrane oxygenation (ECMO) treatment regardless of experience caused high levels of anxiety among healthcare professionals. The aim of the present study was to evaluate the effectiveness of an in situ interprofessional simulation training conducted to improve readiness and preparedness for ECMO management of patients with COVID-19 at a non-high-volume ECMO centre.<h4>Methods</h4>Three emergency physicians, three ...[more]

PMID: 39185273

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Project description:Background In 2020, the Extracorporeal Life Support Organization education task force identified seven extracorporeal membrane oxygenation (ECMO) educational domains that would benefit from international collaborative efforts. These included research efforts to delineate the impact and outcomes of ECMO courses. Objective Development of a standardized online assessment tool to evaluate the effectiveness of didactic and simulation-based ECMO courses on participants’ confidence, knowledge, and simulation-based skills; participant satisfaction; and course educational benefits. Methods We performed a prospective multicenter observational study of five different U.S. academic institution–based adult ECMO courses that met Extracorporeal Life Support Organization endorsement requirements for course structure, educational content, and objectives. Standardized online forms were developed and administered before and after courses, assessing demographics, self-assessment regarding ECMO management, and knowledge examination (15 simple-recall multiple-choice questions). Psychomotor skill assessment was performed during the course (time to complete prespecified critical actions during simulation scenarios). Self-assessment evaluated cognitive, behavioral, and technical aspects of ECMO; course satisfaction; and educational benefits. Results Out of 211 participants, 107 completed both pre- and postcourse self-assessment forms (97 completed both pre- and postcourse knowledge forms). Fifty-three percent of respondents were physician intensivists, with most (51%) practicing at academic hospitals and with less than 1 year of ECMO experience (50%). After the course, participants reported significant increases in confidence across all domains (cognitive, technical, and behavioral, P < 0.0001, 95% confidence interval [CI], 1.2–1.5; P < 0.0001, 95% CI, 2.2–2.6; and P = 0.002, 95% CI, 1.7–2.1, respectively) with an increase in knowledge scores (P < 0.001; 95% CI, 1.4–2.5). These findings were most significant in participants with less ECMO experience. There were also significant reductions in times to critical actions in three of the four scored simulation scenarios. The results demonstrated participants’ satisfaction with most course aspects, with more than 95% expressing that courses met their educational goals. Conclusion We developed and tested a structured ECMO course assessment tool, demonstrating participants’ self-reported benefit as well as improvement in psychomotor skill acquisition, course satisfaction, and educational benefits. Course evaluation is feasible and potentially provides important information to improve ECMO courses. Future steps could include national implementation, addition of questions targeting clinical decision making to further assess knowledge gain, and multilanguage translation for implementation in international courses.

Dataset Information

Positive emotions for promoting quality improvement of extracorporeal membrane oxygenation therapy for COVID-19: In situ interprofessional simulation.

Aim

Methods

Results

Conclusion

Publications

Positive emotions for promoting quality improvement of extracorporeal membrane oxygenation therapy for COVID-19: In situ interprofessional simulation.

Similar Datasets

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