Regression analyses of questionnaires in bedside teaching

BMC Medical Education

Harald Schrem¹  Wolf Ramackers²  Volkhard Fischer³  Jan Beneke⁴  Indra Louisa Marcheel⁴  Annette Tuffs⁴  Julia Victoria Stupak⁴ 

[1] Department of General, Visceral and Transplant Surgery, Medical University Graz, Graz, Austria;General, Visceral and Transplant Surgery, Hannover Medical School, Hannover, Germany;Office of the Dean of Studies, Hannover Medical School, Hannover, Germany;Transplantation Centre, Management-Team, Hannover Medical School, Hannover, Germany;

关键词: Student evaluation;    Student survey;    Multivariable regression;    Bedside teaching;    Quality management;   

DOI  :  10.1186/s12909-020-02295-y

来源: Springer

【 摘 要 】

BackgroundStudents’ ratings of bedside teaching courses are difficult to evaluate and to comprehend. Validated systematic analyses of influences on students’ perception and valuation of bedside teaching can serve as the basis for targeted improvements.MethodsSix hundred seventy-two observations were conducted in different surgical departments. Survey items covered the categories teacher’s performance, student’s self-perception and organizational structures. Relevant factors for the student overall rating were identified by multivariable linear regression after exclusion of variable correlations > 0.500. The main target for intervention was identified by the 15% worst overall ratings via multivariable logistic regression.ResultsAccording to the students the success of bedside teaching depended on their active participation and the teacher’s explanations of pathophysiology. Further items are both relevant to the overall rating and a possible negative perception of the session. In comparison, negative perception of courses (worst 15%) is influenced by fewer variables than overall rating. Variables that appear in both calculations show slight differences in their weighing for their respective endpoints.ConclusionRelevant factors for overall rating and negative perception in bedside teaching can be identified by regression analyses of survey data. Analyses provide the basis for targeted improvement.

【 授权许可】

CC BY