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J Contin Educ Health Prof ; 32(1): 48-57, 2012.
Article in English | MEDLINE | ID: mdl-22447711

ABSTRACT

INTRODUCTION: Better understanding of critically reflective work behavior (CRWB), an approach for work-related informal learning, is important in order to gain more profound insight in the continuing development of health care professionals. METHODS: A survey, developed to measure CRWB and its predictors, was distributed to veterinary professionals. The authors specified a model relating CRWB to a Perceived Need for Lifelong Learning, Perceived Workload, and Opportunities for Feedback. Furthermore, research utilization was added to the concept of CRWB. The model was tested against the data, using structural equation modeling (SEM). RESULTS: The model was well represented by the data. Four factors that reflect aspects of CRWB were distinguished: (1) individual CRWB; (2) being critical in interactions with others; (3) cross-checking of information; and (4) openness to new findings. The latter 2 originated from the factor research utilization in CRWB. The Perceived Need for Lifelong Learning predicts CRWB. Neither Perceived Workload nor Opportunities for Feedback of other practitioners was related to CRWB. DISCUSSION: The results suggest that research utilization, such as cross-checking information and openness to new findings, is essential for CRWB. Furthermore, perceptions of the need for lifelong learning are more relevant for CRWB of health care professionals than qualities of the workplace.


Subject(s)
Clinical Competence , Education, Medical, Continuing/standards , Problem-Based Learning , Staff Development/methods , Veterinarians/psychology , Workload/psychology , Disclosure , Education, Medical, Continuing/methods , Evidence-Based Practice/methods , Factor Analysis, Statistical , Feedback, Psychological , Humans , Interprofessional Relations , Models, Educational , Netherlands , Problem-Based Learning/statistics & numerical data , Self Efficacy , Surveys and Questionnaires , Task Performance and Analysis , Veterinarians/statistics & numerical data
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