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      Exploring training needs of newly graduated medical doctors to inform the undergraduate simulation-based curriculum: a national Delphi consensus study

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          Abstract

          Purpose

          Mastering technical procedures is a key component in succeeding as a newly graduated medical doctor and is of critical importance to ensure patient safety. The efficacy of simulation-based education has been demonstrated but medical schools have different requirements for undergraduate curricula. We aimed to identify and prioritize the technical procedures needed by newly graduated medical doctors.

          Methods

          We conducted a national needs assessment survey using the Delphi technique to gather consensus from key opinion leaders in the field. In the first round, a brainstorm was conducted to identify all potential technical procedures. In the second round, respondents rated the need for simulation-based training of each procedure using the Copenhagen Academy for Medical Education and Simulation Needs Assessment Formula (CAMES-NAF). The third round was a final elimination and prioritization of the procedures.

          Results

          In total, 107 experts from 21 specialties answered the first round: 123 unique technical procedures were suggested. Response rates were 58% and 64% in the second and the third round, respectively. In the third round, 104 procedures were eliminated based on the consensus criterion, and the remaining 19 procedures were included and prioritized. The top five procedures were: (i) insert peripheral intravenous catheter, (ii) put on personal protection equipment, (iii) perform basic airway maneuvers, (iv) perform basic life support, and (v) perform radial artery puncture.

          Conclusion

          Based on the Delphi process a final list of 19 technical procedures reached expert consensus to be included in the undergraduate curriculum for simulation-based education.

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          Most cited references38

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            The Delphi Technique: Making Sense of Consensus

            The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communication process which aims to achieve a convergence of opinion on a specific real-world issue. The Delphi process has been used in various fields of study such as program planning, needs assessment, policy determination, and resource utilization to develop a full range of alternatives, explore or expose underlying assumptions, as well as correlate judgments on a topic spanning a wide range of disciplines. The Delphi technique is well suited as a method for consensus-building by using a series of questionnaires delivered using multiple iterations to collect data from a panel of selected subjects. Subject selection, time frames for conducting and completing a study, the possibility of low response rates, and unintentionally guiding feedback from the respondent group are areas which should be considered when designing and implementing a Delphi study. Accessed 68,465 times on https://pareonline.net from August 30, 2007 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
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              A critical review of simulation-based medical education research: 2003-2009.

              This article reviews and critically evaluates historical and contemporary research on simulation-based medical education (SBME). It also presents and discusses 12 features and best practices of SBME that teachers should know in order to use medical simulation technology to maximum educational benefit. This qualitative synthesis of SBME research and scholarship was carried out in two stages. Firstly, we summarised the results of three SBME research reviews covering the years 1969-2003. Secondly, we performed a selective, critical review of SBME research and scholarship published during 2003-2009. The historical and contemporary research synthesis is reported to inform the medical education community about 12 features and best practices of SBME: (i) feedback; (ii) deliberate practice; (iii) curriculum integration; (iv) outcome measurement; (v) simulation fidelity; (vi) skill acquisition and maintenance; (vii) mastery learning; (viii) transfer to practice; (ix) team training; (x) high-stakes testing; (xi) instructor training, and (xii) educational and professional context. Each of these is discussed in the light of available evidence. The scientific quality of contemporary SBME research is much improved compared with the historical record. Development of and research into SBME have grown and matured over the past 40 years on substantive and methodological grounds. We believe the impact and educational utility of SBME are likely to increase in the future. More thematic programmes of research are needed. Simulation-based medical education is a complex service intervention that needs to be planned and practised with attention to organisational contexts.
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                Author and article information

                Journal
                Postgraduate Medical Journal
                Oxford University Press (OUP)
                0032-5473
                1469-0756
                January 2023
                March 22 2023
                January 10 2023
                January 2023
                March 22 2023
                January 10 2023
                : 99
                : 1167
                : 37-44
                Article
                10.1093/postmj/qgac002
                042f83cd-a8e3-4816-8aa4-c0852e8f182b
                © 2023

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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