Development of a brief learning environment measure for use in healthcare professions education: the Healthcare Education Micro Learning Environment Measure (HEMLEM)

开发一种用于医疗保健专业教育的简短学习环境测量工具:医疗保健教育微学习环境测量工具(HEMLEM)

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Abstract

BACKGROUND: The learning environment impacts many aspects of healthcare education, including student outcomes. Rather than being a single and fixed phenomenon, it is made up of multiple micro learning environments. The standard clinical learning environment measurement tools do not consider such diversity and may fail to adequately capture micro learning environments. Moreover, the existing tools are often long and may take a prohibitive amount of time to complete properly. This may have a negative impact on their usefulness in educational improvement strategies. In addition, there is no universal tool available which could be utilised across several healthcare student groups and placement settings. AIM: To create an evidence-based measurement tool for assessing clinical micro learning environments across several healthcare profession student groups. METHODS: The measurement tool was developed through a step-wise approach: 1) literature review with iterative analysis of existing tools; 2) generation of new items via thematic analysis of student experiences; 3) a Delphi process involving healthcare educators; 4) piloting of the prototype; and 5) item reduction. RESULTS: The literature review and experiential data from healthcare students resulted in 115 and 43 items respectively. These items were refined, leaving 75 items for the Delphi process, which produced a prototype with 57 items. This prototype was then completed by 257 students across the range of healthcare professions, with item reduction resulting in a 12-item tool. CONCLUSION: This paper describes a mixed methods approach to developing a brief micro learning environment measurement tool. The generated tool can be used for measuring student perceptions of clinical environments across several healthcare professions. Further cross-cultural and cross-professional validation studies are needed to support widespread use, possibly through mobile application.

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