Development of a national medical leadership competency framework: The Dutch approach

Background: The concept of medical leadership (ML) can enhance physicians' inclusion in efforts for higher quality healthcare. Despite ML's spiking popularity, only a few countries have built a national taxonomy to facilitate ML competency education and training. In this paper we discuss the development of the Dutch ML competency framework with two objectives: to account for the framework's making and to complement to known approaches of developing such frameworks. Methods: We designed a research approach and analyzed data from multiple sources based on Grounded Theory. Facilitated by the Roya... Mehr ...

Verfasser: Keijser, W.A. (Wouter A.)
Handgraaf, H.J.M. (Henricus J. M.)
Isfordink, L.M. (Liz M.)
Janmaat, V.T. (Vincent)
Vergroesen, P.-P.A. (Pieter-Paul A.)
Verkade, J.M.J.S. (Julia M. J. S.)
Wieringa, S. (Sietse)
Wilderom, C.P.M. (Celeste)
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Schlagwörter: Design research / Medical education / Medical leadership / National competency framework / Qualitative
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29451355
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://repub.eur.nl/pub/122179

Background: The concept of medical leadership (ML) can enhance physicians' inclusion in efforts for higher quality healthcare. Despite ML's spiking popularity, only a few countries have built a national taxonomy to facilitate ML competency education and training. In this paper we discuss the development of the Dutch ML competency framework with two objectives: to account for the framework's making and to complement to known approaches of developing such frameworks. Methods: We designed a research approach and analyzed data from multiple sources based on Grounded Theory. Facilitated by the Royal Dutch Medical Association, a group of 14 volunteer researchers met over a period of 2.5 years to perform: 1) literature review; 2) individual interviews; 3) focus groups; 4) online surveys; 5) international framework comparison; and 6) comprehensive data synthesis. Results: The developmental processes that led to the framework provided a taxonomic depiction of ML in Dutch perspective. It can be seen as a canonical 'knowledge artefact' created by a community of practice and comprises of a contemporary definition of ML and 12 domains, each entailing four distinct ML competencies. Conclusions: This paper demonstrates how a new language for ML can be created in a healthcare system. The success of our approach to capture insights, expectations and demands relating leadership by Dutch physicians depended on close involvement of the Dutch national medical associations and a nationally active community of practice; voluntary work of diverse researchers and medical practitioners and an appropriate research design that used multiple methods and strategies to circumvent reverberation of established opinions and conventionalisms. Implications: The experiences reported here may provide inspiration and guidance for those anticipating similar work in other countries to develop a tailored approach to create a ML framework.