Generic competence among health sciences students in higher education – A cross-sectional study

Abstract

BackgroundHighly competent health care experts are needed for the development of the social and health care sectors. More knowledge is needed on the levels of generic competencies that health sciences experts possess, particularly in the context of complex decision-making. ObjectivesTo describe self-evaluated generic competence of health sciences students and its associated factors. DesignA cross-sectional observational study design. ParticipantsA total of 291 health science students in five universities in Finland participated in this study during the spring of 2022. MethodsThe data was collected by using the HealthGenericCom instrument with 88 items and 8 sum dimensions using a five-point Likert scale (1—poor to 5—excellent): 1) competence in leadership, administration, and finance; 2) people-centred guiding competence; 3) competence of health promotion; 4) competence of evidence-based practice; 5) digital competence; 6) competence in work well-being and self-management; 7) competence in collaboration and problem-solving, and 8) competence in societal interaction. The K-means cluster algorithm was used to classify generic competence profiles to identify the profiles of health sciences students. ResultsFour generic health sciences competence profiles (A = 18 %, B = 23 %, C = 33 %, D = 26 %) were identified. Profile A demonstrated the lowest level of most generic competencies in health sciences. Digital competence was shown to be at the lowest level among the participants, whereas competence in collaboration, problem-solving, and health promotion was evaluated as the highest competence level. The students evaluated their competence as being higher when they were older, were currently engaged in master's degree programmes, had completed work-based practical training in social and health care, and had varied work experiences or held leading positions. ConclusionsStudents need to improve their generic competencies in health sciences, with a particular focus on developing their digital competence. More focus should be given to work-based practical training.