2022
DOI: 10.1002/aet2.10720
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Beyond the CLAIM: A comprehensive needs assessment strategy for creating an Advanced Medical Education Research Training Program (ARMED‐MedEd)

Abstract: Background:The health professions education (HPE) landscape has shifted substantively with increasing professionalization of research and scholarship. Clinician educators seeking to become competitive in this domain often pursue fellowships and master's degrees in HPE, but there are few resources for the continuing professional development (CPD) of those who seek to continue developing their scholarly practice within HPE. Acknowledging the multiple players in this landscape, the authors sought to design a new … Show more

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Cited by 6 publications
(12 citation statements)
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“…First, we performed a comprehensive needs assessment using a rigorous model, 2 to better understand the needs of the field.…”
Section: Reflec Tive Discussionmentioning
confidence: 99%
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“…First, we performed a comprehensive needs assessment using a rigorous model, 2 to better understand the needs of the field.…”
Section: Reflec Tive Discussionmentioning
confidence: 99%
“…Although some CEs have enrolled in research fellowships or masters programs, there exist limited education scholarship–focused programs to address the training needs of those who decide to focus their careers on discovery and methodologic rigor in the realm of education scholarship. Therefore, there remains a need for a program to provide more advanced training in education research without creating financial, time, and resource barriers 2 …”
Section: Need For Innovationmentioning
confidence: 99%
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“…The course did have a small cost and speakers were reimbursed for their time. To develop the content for the course, we followed the CLAIM framework (competitive analysis, literature review with thematic analysis, ask stakeholders, internal review by experts, and mapping the curriculum) 9 . Our initial competitive analysis demonstrated no similar courses available on the topic.…”
Section: Methodsmentioning
confidence: 99%