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Implementing Team-Based Healthcare: Facilitators and Barriers
Abstract
This study aims to identify factors that influence inter-professional collaboration (IPC) through text mining. While initial analysis using Co-occurrence networks captured the relevance of many words, it proved too complex to interpret. To address this issue, the researchers introduced coding rules to simplify the visualization of textual data and identified key concepts that support effective collaboration. In addition, correspondence analysis revealed significant differences in perceptions of collaboration based on professional roles and years of clinical experience. The finding underscores the importance of diverse perspectives within the healthcare team. While recognizing the limitations of text mining, our study recommends its use as a valuable complement to traditional quantitative approaches to understanding complex IPC structures.
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