Department of Pharmacy, Nanjing Drum Tower Hospital, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China.
Department of Pharmacy, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
BMC Med Educ. 2024 Oct 7;24(1):1100. doi: 10.1186/s12909-024-06067-w.
Based on the perspective of social network theory, this study explored the network indicator system that facilitated optimal knowledge sharing effect in Medication Therapy Management Services (MTMS) training teams. The aim was to provide a reference for optimizing MTMS training and improving training quality.
Utilizing social network analysis combined with a questionnaire survey, a knowledge sharing matrix for MTMS training teams was constructed. Knowledge sharing behavior was assessed from three perspectives: individual networks, whole networks, and cohesive subgroups.
Individual network analysis showed that the knowledge sharing effect within the training team reached its peak when the out-degree centrality was ≥ 3.5, in-degree centrality was ≥ 2.5, eigenvector centrality was ≥ 0.065, and closeness centrality was ≥ 7.86. Whole network analysis indicated that the optimal knowledge sharing effect occurred when the network density of the training team was higher than 0.0343 and the training size was less than 117 participants. Cohesion subgroups analysis demonstrated that knowledge sharing was more effective when members with similar working years participated in training together.
The knowledge sharing indicator system developed for MTMS training teams, based on social network analysis, can assist in optimizing the MTMS training model and improving training effectiveness.
本研究基于社会网络理论视角，探讨了促进药物治疗管理服务（MTMS）培训团队最佳知识共享效果的网络指标体系，旨在为优化 MTMS 培训、提高培训质量提供参考。
采用社会网络分析与问卷调查相结合的方法，构建 MTMS 培训团队的知识共享矩阵。从个体网络、整体网络和凝聚子群三个角度评估知识共享行为。
个体网络分析显示，培训团队内的知识共享效果在出度中心度≥3.5、入度中心度≥2.5、特征向量中心度≥0.065、接近中心度≥7.86 时达到峰值。整体网络分析表明，当团队网络密度高于 0.0343、培训规模小于 117 人时，培训团队的知识共享效果最佳。凝聚子群分析表明，具有相似工作年限的成员一起参加培训时，知识共享效果更为显著。
基于社会网络分析的 MTMS 培训团队知识共享指标体系，可以辅助优化 MTMS 培训模式，提高培训效果。
