PDF(Pubmed)
Abstract：
This study focuses on understanding pharmacovigilance knowledge, attitudes, and practices (KAP) in Yunnan Province, employing Structural Equation Modeling (SEM) and network analysis. It aims to evaluate the interplay of these factors among healthcare personnel and the public, assessing the impact of demographic characteristics to inform policy and educational initiatives.
A cross-sectional survey was conducted in Yunnan, targeting healthcare personnel and the public. Data collection was through questionnaires, with subsequent analysis involving correlation matrices, network visualization, and SEM. The data analysis utilized SPSS 27.0, AMOS 26.0, and Gephi software for network analysis.
This study evaluated pharmacovigilance KAP among 209 public participants and 823 healthcare personnel, uncovering significant differences. Public respondents scored averages of 4.62 ± 2.70 in knowledge, 31.99 ± 4.72 in attitudes, and 12.07 ± 4.96 in practices, while healthcare personnel scored 4.38 ± 3.06, 27.95 ± 3.34, and 7.75 ± 2.77, respectively. Statistically significant correlations across KAP elements were observed in both groups, highlighting the interconnectedness of these factors. Demographic influences were more pronounced among healthcare personnel, emphasizing the role of professional background in pharmacovigilance competency. Network analysis identified knowledge as a key influencer within the pharmacovigilance KAP network, suggesting targeted education as a vital strategy for enhancing pharmacovigilance engagement.
The research reveals a less-than-ideal state of pharmacovigilance KAP among both healthcare personnel and the public in Yunnan, with significant differences between the two groups. SEM and network analysis confirmed a strong positive link among KAP components, moderated by demographics like age, occupation, and education level. These insights emphasize the need to enhance pharmacovigilance education and awareness, thereby promoting safer drug use.
A cross-sectional survey was conducted in Yunnan, targeting healthcare personnel and the public. Data collection was through questionnaires, with subsequent analysis involving correlation matrices, network visualization, and SEM. The data analysis utilized SPSS 27.0, AMOS 26.0, and Gephi software for network analysis.
This study evaluated pharmacovigilance KAP among 209 public participants and 823 healthcare personnel, uncovering significant differences. Public respondents scored averages of 4.62 ± 2.70 in knowledge, 31.99 ± 4.72 in attitudes, and 12.07 ± 4.96 in practices, while healthcare personnel scored 4.38 ± 3.06, 27.95 ± 3.34, and 7.75 ± 2.77, respectively. Statistically significant correlations across KAP elements were observed in both groups, highlighting the interconnectedness of these factors. Demographic influences were more pronounced among healthcare personnel, emphasizing the role of professional background in pharmacovigilance competency. Network analysis identified knowledge as a key influencer within the pharmacovigilance KAP network, suggesting targeted education as a vital strategy for enhancing pharmacovigilance engagement.
The research reveals a less-than-ideal state of pharmacovigilance KAP among both healthcare personnel and the public in Yunnan, with significant differences between the two groups. SEM and network analysis confirmed a strong positive link among KAP components, moderated by demographics like age, occupation, and education level. These insights emphasize the need to enhance pharmacovigilance education and awareness, thereby promoting safer drug use.
摘要：
■这项研究的重点是了解药物警戒知识，态度，云南省的实践（KAP），采用结构方程建模(SEM)和网络分析。它旨在评估医疗保健人员和公众之间这些因素的相互作用，评估人口特征的影响，为政策和教育举措提供信息。
■在云南进行了横断面调查，针对医护人员和公众。数据收集是通过问卷调查，随后的分析涉及相关矩阵，网络可视化，和SEM。数据分析使用SPSS27.0，AMOS26.0和Gephi软件进行网络分析。
■这项研究评估了209名公众参与者和823名医护人员的药物警戒KAP，发现显著差异。公众受访者在知识方面的平均得分为4.62±2.70，31.99±4.72的态度，和12.07±4.96在实践中，医护人员得分分别为4.38±3.06、27.95±3.34和7.75±2.77。在两组中观察到KAP元素之间的统计学显着相关性，强调这些因素的相互联系。人口统计学影响在医护人员中更为明显，强调专业背景在药物警戒能力中的作用。网络分析将知识确定为药物警戒KAP网络中的关键影响者，建议有针对性的教育作为加强药物警戒参与的重要策略。
■该研究揭示了云南医护人员和公众的药物警戒KAP状态并不理想，两组之间有显著差异。SEM和网络分析证实了KAP组件之间存在很强的正联系，受人口统计学如年龄调节，职业,和教育水平。这些见解强调需要加强药物警戒教育和认识，从而促进更安全的药物使用。
■在云南进行了横断面调查，针对医护人员和公众。数据收集是通过问卷调查，随后的分析涉及相关矩阵，网络可视化，和SEM。数据分析使用SPSS27.0，AMOS26.0和Gephi软件进行网络分析。
■这项研究评估了209名公众参与者和823名医护人员的药物警戒KAP，发现显著差异。公众受访者在知识方面的平均得分为4.62±2.70，31.99±4.72的态度，和12.07±4.96在实践中，医护人员得分分别为4.38±3.06、27.95±3.34和7.75±2.77。在两组中观察到KAP元素之间的统计学显着相关性，强调这些因素的相互联系。人口统计学影响在医护人员中更为明显，强调专业背景在药物警戒能力中的作用。网络分析将知识确定为药物警戒KAP网络中的关键影响者，建议有针对性的教育作为加强药物警戒参与的重要策略。
■该研究揭示了云南医护人员和公众的药物警戒KAP状态并不理想，两组之间有显著差异。SEM和网络分析证实了KAP组件之间存在很强的正联系，受人口统计学如年龄调节，职业,和教育水平。这些见解强调需要加强药物警戒教育和认识，从而促进更安全的药物使用。
