Francis Troy, de Vries Maaike, Fan Mark, Yousefi-Nooraie Reza, Ouimet Mathieu, Rac Valeria E, Trbovich Patricia
HumanEra, Research and Innovation, North York General Hospital, Toronto, Ontario, Canada.
Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Canada.
PLoS One. 2025 Sep 2;20(9):e0329176. doi: 10.1371/journal.pone.0329176. eCollection 2025.
Due to a lack of safeguards, controlled substances (CS) can be diverted (stolen) from healthcare facilities. While it is known that healthcare workers (HCWs) can use their social networks within the medication use process (MUP) to facilitate diversion, the specific connections between HCWs and the MUP tasks most vulnerable to diversion remain poorly understood. Social network analysis (SNA) was used to analyze social connections to identify influential relationships between HCWs and tasks susceptible to diversion.To map the social network structures of MUP tasks vulnerable to CS diversion in two Emergency Departments (EDs), identify influential tasks and HCWs, and report HCW perceptions of in-hospital diversion.This study used a mixed methods approach in the ED of two large hospitals in Toronto, Canada. Previously collected clinical observation data was used to identify tasks at risk of diversion, and cross-sectional surveys were conducted to assess HCW's involvement in the identified vulnerable tasks. A two-mode SNA was conducted to identify connections between HCWs and tasks susceptible to drug diversion.SNA identified a circular structure across both sites, highlighting the network's redundancy and capacity to efficiently disseminate information. Nurses were central to tasks with a higher risk of diversion. Physicians and Pharmacists had limited direct involvement in these tasks. Tasks with frequent interprofessional interactions, such as creating, following, or reviewing orders for non-admitted patients, are vulnerable to diversion due to HCWs acting on decisions made by other professionals without closely scrutinizing the details. No significant differences were observed between sites, suggesting a shared perception of diversion. The SNA results highlight the critical role of network structure in shaping vulnerability to diversion. The similarities across both sites suggest a systemic challenge across ED settings that require targeted interventions. By uncovering critical points of influence, we can better understand how diversion occurs and develop targeted interventions to prevent it.
由于缺乏安全保障措施,管制药品可能会从医疗机构被盗用。虽然已知医护人员会在用药过程中利用其社交网络来促成药品盗用,但医护人员与最易发生盗用的用药过程任务之间的具体联系仍知之甚少。社会网络分析(SNA)被用于分析社会联系,以确定医护人员与易发生盗用的任务之间的影响关系。为了绘制两家急诊科(ED)中易发生管制药品盗用的用药过程任务的社会网络结构,识别有影响力的任务和医护人员,并报告医护人员对医院内药品盗用的看法。本研究在加拿大多伦多两家大型医院的急诊科采用了混合方法。先前收集的临床观察数据被用于识别有盗用风险的任务,并进行横断面调查以评估医护人员在已识别的易发生盗用任务中的参与情况。进行了双模式社会网络分析,以确定医护人员与易发生药品盗用的任务之间的联系。社会网络分析在两个地点都识别出了一个循环结构,突出了网络的冗余性和有效传播信息的能力。护士在盗用风险较高的任务中处于核心地位。医生和药剂师在这些任务中的直接参与有限。由于医护人员在未仔细审查细节的情况下执行其他专业人员做出的决定,因此涉及频繁跨专业互动的任务,如为非住院患者创建、跟踪或审查医嘱,容易发生盗用。两个地点之间未观察到显著差异,这表明对药品盗用有共同的认知。社会网络分析结果突出了网络结构在塑造易发生盗用的脆弱性方面的关键作用。两个地点的相似之处表明,急诊科环境存在系统性挑战,需要有针对性的干预措施。通过揭示关键影响点,我们可以更好地理解药品盗用是如何发生的,并制定有针对性的干预措施来预防它。