Benchmarking for research-related competencies – a curricular mapping approach at medical faculties in Germany
Autor: | Annette Wosnik, Olaf Fritze, Jan Griewatz, Elisabeth Narciss, Sandra Steffens, Maria Lammerding-Koeppel, Marianne Giesler |
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Rok vydání: | 2017 |
Předmět: |
Medical education
Faculty Medical 020205 medical informatics business.industry Research 02 engineering and technology General Medicine Benchmarking Education 03 medical and health sciences Professional Competence 0302 clinical medicine Germany 0202 electrical engineering electronic engineering information engineering Humans Medicine Curriculum 030212 general & internal medicine business Education Medical Undergraduate |
Zdroj: | Medical Teacher. 40:164-173 |
ISSN: | 1466-187X 0142-159X |
Popis: | Internationally, scientific and research-related competencies need to be sufficiently targeted as core outcomes in many undergraduate medical curricula. Since 2015, standards have been recommended for Germany in the National Competency-based Learning Objective Catalogue in Medicine (NKLM). The aim of this study is to develop a multi-center mapping approach for curricular benchmarking against national standards and against other medical faculties.A total of 277 faculty members from four German medical faculties have mapped the local curriculum against the scientific and research-related NKLM objectives, using consented procedures, metrics, and tools. The amount of mapping citations of each objective is used as indicator for its weighting in the local curriculum. Achieved competency levels after five-year education are compared.All four programs fulfill the NKLM standards, with each emphasizing different sub-competencies explicitly in writing (Scholar: 17-41% of all courses; Medical Scientific Skills: 14-37% of all courses). Faculties show major or full agreement in objective weighting: Scholar 44%, scientific skills 79%. The given NKLM competency level is met or even outperformed in 78-100% of the courses.The multi-center mapping approach provides an informative dataset allowing curricular diagnosis by external benchmarking and guidance for optimization of local curricula. |
Databáze: | OpenAIRE |
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