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An e-Delphi study generates expert consensus on the trends in future continuing medical education engagement by resident, practicing, and expert surgeons

机译:E-DELPHI研究在居民,练习和专家外科医生的未来继续医学教育参与的趋势中产生了专家共识

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Background: The Delphi method is a demonstrated way to gather structured expert opinions to forecast, plan, and prioritize around a given topic. It builds consensus through iterative rounds. Aims: The goal of this study was to build consensus-based predictions for the year 2022 about: future trends in surgeon continuing medical education (CME); the role of technology in learning for surgeons of different experience levels (trainee/resident, practicing, expert); and CME funding models. Methods: A three round e-Delphi method was employed for this study. Panelist identities were anonymized, and controlled feedback and consensus rules were employed. Fifteen international expert panelists' input was collected via electronically distributed, open-ended questionnaire (Round 1) and 5-point Likert scale ranking surveys (Rounds 2 and 3), in a series of nine questions (Round 1) and 26 and 25 summary statements (Rounds 2 and 3, respectively). Summary statements were collated via key words and ideas collected from panelist's input. Mean, median, standard deviation, and 95% confidence intervals were calculated. Results: Response rate was 100% for each round. Consensus in Round 2 was 61% and 88% in Round 3. Seven key finding statements with supporting background information was the result. Discussion: Reliable, affordable internet access was identified as a likely barrier to education for certain regions, even in 5 years' time. The use of similar educational resources were identified for all levels of surgeon, what varied was the reliance on a particular resource by each level of surgeon. Conclusion: Institutes of employment were predicted to have ended CME funding for expert surgeons by 2022. Industry sponsored CME was predicted to have a continued role for trainee/residents and practicing surgeons.
机译:背景:Delphi方法是一个展示的方法来收集结构化专家意见来预测,计划和优先考虑给定主题。它通过迭代轮建立共识。目的:本研究的目标是为2022年建立基于共识的预测:外科医生继续医学教育的未来趋势(CME);技术在学习不同体验水平外科医生的作用(实习生/居民,练习,专家);和CME资助模式。方法:采用三轮E-DELPHI方法进行本研究。小组成员身份被匿名化,采用了受控反馈和共识规则。通过电子分布,开放式调查问卷(第1轮)和5点李克特量表排名调查(轮2和3),在一系列九个问题(第1轮)和26和25次摘要中收集了十五个国际专家小组成员的投入陈述(分别为2和3)。通过从小组成员输入中收集的关键词和思路进行整理账目。计算平均值,中值,标准偏差和95%的置信区间。结果:每轮响应率为100%。第2轮共识为61%和88%的第3.七个关键查找与支持背景信息的陈述是结果。讨论:可靠,经济实惠的互联网接入被确定为某些地区的教育的可能障碍,即使在5年的时间内也是如此。针对各级外科医生确定了类似的教育资源,多么多样化是每个级别的外科医生对特定资源的依赖。结论:预计20222年预计就业机构已结束专家外科医生的CME资助。预计工业赞助CME对实习生/居民和实践外科医生进行了持续的作用。

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