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An Instrument to Characterize the Environment for Residents' Evidence-based Medicine Learning and Practice

机译:表征居民循证医学学习和实践环境的工具

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BACKGROUND AND OBJECTIVES: Many residency programs offer training in evidence-based medicine (EBM). However, these curricula often fail to achieve optimal learning outcomes, perhaps because they neglect various contextual factors in the learning environment. We developed and validated an instrument to characterize the environment for EBM learning and practice in residency programs.METHODS: An EBM Environment Scale was developed following scale development principles. A survey was administered to residents across six programs in primary care specialties at four medical centers. Internal consistency reliability was analyzed with Cronbach's coefficient alpha. Validity was assessed by comparing predetermined subscales with the survey's internal structure as assessed via factor analysis. Scores were also compared for subgroups based on residency program affiliation and residency characteristics.RESULTS: Out of 262 eligible residents, 124 completed the survey (response rate47%). The overall mean score was 3.89 (standard deviation=0.56). The initial reliability analysis of the 48-item scale had a high reliability coefficient (Cronbach ?=.94). Factor analysis and further item analysis resulted in a shorter 36-item scale with a satisfactory reliability coefficient (Cronbach ?=.86). Scores were higher for residents with prior EBM training in medical school (4.14 versus 3.62) and in residency (4.25 versus 3.69).CONCLUSIONS: If further testing confirms its properties, the EBM Environment Scale may be used to understand the influence of the learning environment on the effectiveness of EBM training. Additionally, it may detect changes in the EBM learning environment in response to programmatic or institutional interventions.
机译:背景与目的:许多住院医师课程都提供循证医学培训。但是,这些课程通常无法获得最佳的学习成果,可能是因为它们忽略了学习环境中的各种上下文因素。我们开发并验证了一种用于表征居住计划中的EBM学习和实践环境的工具。方法:根据量表开发原则开发了EBM环境量表。在四个医疗中心对居民的六个计划中的居民进行了一项调查。使用Cronbach系数α分析内部一致性的可靠性。通过将预先确定的分量表与通过因素分析评估的调查内部结构进行比较来评估有效性。结果:根据居住项目隶属关系和居住特征,比较了各亚组的得分。结果:在262名合格居民中,有124名完成了调查(答复率为47%)。总体平均得分为3.89(标准差= 0.56)。 48项量表的初始可靠性分析具有较高的可靠性系数(Cronbachα= 0.94)。因子分析和进一步的项目分析导致较短的36个项目的规模和令人满意的可靠性系数(Cronbach?=。86)。以前在医学院接受过EBM培训的居民得分较高(4.14对3.62),而在住所方面的居民得分(4.25对3.69)更高。结论:如果进一步的测试证实了其特性,则可以使用EBM环境量表来了解学习环境的影响。循证医学培训的有效性。此外,它可以检测EBM学习环境中响应于计划或机构干预的变化。

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