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      Effects of simulation-based education for neonatal resuscitation on medical students’ technical and non-technical skills

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          Abstract

          Simulation is a learner-centered practice that helps develop and maintain knowledge, skills, and competencies. This study evaluated the effect of neonatal resuscitation simulation-based education for medical students in the fifth year (part of the regular clinical clerkship program) on the perceived performance of their technical and non-technical skills. In addition, we analyzed the difference between instructor’s and learners’ evaluations of technical skills after the simulation. A one-group pretest-posttest design was adopted. The simulation-based education of the neonatal resuscitation program (NRP) was conducted for 40 medical students from July to November 2020 at a medical school in South Korea. The simulation-based education comprised 5 minutes of pre-briefing, 10 minutes of running the simulation, and 30 minutes of debriefing (using a recorded video). The perceived performance of students’ technical and non-technical skills before and after the simulation was compared by collecting and analyzing the pre- and post-questionnaires. The perceived performance of technical ( p = .001) and non-technical skills ( p < .001) was found to have significantly increased after the simulation. Particularly, the performance of technical skills, such as diagnostic ( p = .007) and therapeutic actions ( p < .001) and non-technical skills, such as leadership ( p < .001), teamwork ( p = .001), and task management ( p = .020) improved significantly. There was no significant difference in the evaluations of the technical performance of the instructor and learners after the simulation ( p = .953). Simulation-based education can improve technical skills, such as diagnostic and therapeutic actions for neonatal resuscitation. It is also effective in enhancing non-technical skills, such as leadership, teamwork, and task management. Further, after the simulation-based education, students can fully self-evaluate through objective reflection and improve their clinical competency.

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          Most cited references34

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          Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review.

          1969 to 2003, 34 years. Simulations are now in widespread use in medical education and medical personnel evaluation. Outcomes research on the use and effectiveness of simulation technology in medical education is scattered, inconsistent and varies widely in methodological rigor and substantive focus. Review and synthesize existing evidence in educational science that addresses the question, 'What are the features and uses of high-fidelity medical simulations that lead to most effective learning?'. The search covered five literature databases (ERIC, MEDLINE, PsycINFO, Web of Science and Timelit) and employed 91 single search terms and concepts and their Boolean combinations. Hand searching, Internet searches and attention to the 'grey literature' were also used. The aim was to perform the most thorough literature search possible of peer-reviewed publications and reports in the unpublished literature that have been judged for academic quality. Four screening criteria were used to reduce the initial pool of 670 journal articles to a focused set of 109 studies: (a) elimination of review articles in favor of empirical studies; (b) use of a simulator as an educational assessment or intervention with learner outcomes measured quantitatively; (c) comparative research, either experimental or quasi-experimental; and (d) research that involves simulation as an educational intervention. Data were extracted systematically from the 109 eligible journal articles by independent coders. Each coder used a standardized data extraction protocol. Qualitative data synthesis and tabular presentation of research methods and outcomes were used. Heterogeneity of research designs, educational interventions, outcome measures and timeframe precluded data synthesis using meta-analysis. Coding accuracy for features of the journal articles is high. The extant quality of the published research is generally weak. The weight of the best available evidence suggests that high-fidelity medical simulations facilitate learning under the right conditions. These include the following: providing feedback--51 (47%) journal articles reported that educational feedback is the most important feature of simulation-based medical education; repetitive practice--43 (39%) journal articles identified repetitive practice as a key feature involving the use of high-fidelity simulations in medical education; curriculum integration--27 (25%) journal articles cited integration of simulation-based exercises into the standard medical school or postgraduate educational curriculum as an essential feature of their effective use; range of difficulty level--15 (14%) journal articles address the importance of the range of task difficulty level as an important variable in simulation-based medical education; multiple learning strategies--11 (10%) journal articles identified the adaptability of high-fidelity simulations to multiple learning strategies as an important factor in their educational effectiveness; capture clinical variation--11 (10%) journal articles cited simulators that capture a wide variety of clinical conditions as more useful than those with a narrow range; controlled environment--10 (9%) journal articles emphasized the importance of using high-fidelity simulations in a controlled environment where learners can make, detect and correct errors without adverse consequences; individualized learning--10 (9%) journal articles highlighted the importance of having reproducible, standardized educational experiences where learners are active participants, not passive bystanders; defined outcomes--seven (6%) journal articles cited the importance of having clearly stated goals with tangible outcome measures that will more likely lead to learners mastering skills; simulator validity--four (3%) journal articles provided evidence for the direct correlation of simulation validity with effective learning. While research in this field needs improvement in terms of rigor and quality, high-fidelity medical simulations are educationally effective and simulation-based education complements medical education in patient care settings.
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            Simulation-based medical teaching and learning

            One of the most important steps in curriculum development is the introduction of simulation- based medical teaching and learning. Simulation is a generic term that refers to an artificial representation of a real world process to achieve educational goals through experiential learning. Simulation based medical education is defined as any educational activity that utilizes simulation aides to replicate clinical scenarios. Although medical simulation is relatively new, simulation has been used for a long time in other high risk professions such as aviation. Medical simulation allows the acquisition of clinical skills through deliberate practice rather than an apprentice style of learning. Simulation tools serve as an alternative to real patients. A trainee can make mistakes and learn from them without the fear of harming the patient. There are different types and classification of simulators and their cost vary according to the degree of their resemblance to the reality, or ‘fidelity’. Simulation- based learning is expensive. However, it is cost-effective if utilized properly. Medical simulation has been found to enhance clinical competence at the undergraduate and postgraduate levels. It has also been found to have many advantages that can improve patient safety and reduce health care costs through the improvement of the medical provider's competencies. The objective of this narrative review article is to highlight the importance of simulation as a new teaching method in undergraduate and postgraduate education.
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              Simulation-based education improves quality of care during cardiac arrest team responses at an academic teaching hospital: a case-control study.

              Simulation technology is widely used in medical education. Linking educational outcomes achieved in a controlled environment to patient care improvement is a constant challenge. This was a retrospective case-control study of cardiac arrest team responses from January to June 2004 at a university-affiliated internal medicine residency program. Medical records of advanced cardiac life support (ACLS) events were reviewed to assess adherence to ACLS response quality indicators based on American Heart Association (AHA) guidelines. All residents received traditional ACLS education. Second-year residents (simulator-trained group) also attended an educational program featuring the deliberate practice of ACLS scenarios using a human patient simulator. Third-year residents (traditionally trained group) were not trained on the simulator. During the study period, both simulator-trained and traditionally trained residents responded to ACLS events. We evaluated the effects of simulation training on the quality of the ACLS care provided. Simulator-trained residents showed significantly higher adherence to AHA standards (mean correct responses, 68%; SD, 20%) vs traditionally trained residents (mean correct responses, 44%; SD, 20%; p = 0.001). The odds ratio for an adherent ACLS response was 7.1 (95% confidence interval, 1.8 to 28.6) for simulator-trained residents compared to traditionally trained residents after controlling for patient age, ventilator, and telemetry status. A simulation-based educational program significantly improved the quality of care provided by residents during actual ACLS events. There is a growing body of evidence indicating that simulation can be a useful adjunct to traditional methods of procedural training.

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                1 December 2022
                2022
                : 17
                : 12
                : e0278575
                Affiliations
                [1 ] Office of Medical Education, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea
                [2 ] Department of Pediatrics, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea
                King Saud bin Abdulaziz University for Health Sciences, SAUDI ARABIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Department of Nursing, Dongnam Health University, Suwon, Gyeonggi-do, Republic of Korea

                Author information
                https://orcid.org/0000-0003-0655-5915
                https://orcid.org/0000-0003-4765-9948
                Article
                PONE-D-21-38046
                10.1371/journal.pone.0278575
                9714940
                36454959
                8df50c01-4d1d-46ff-9205-387e54bffce8
                © 2022 Lee, Lee

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 December 2021
                : 20 November 2022
                Page count
                Figures: 1, Tables: 3, Pages: 11
                Funding
                The author(s) received no specific funding for this work.
                Categories
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                Biology and Life Sciences
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                Custom metadata
                The data are located at a public repository. DOI: 10.6084/m9.figshare.20521197.

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