了解导致医院住院药房药物转用的社会网络:社会网络分析

IF 1.8 Q3 PHARMACOLOGY & PHARMACY
Troy Francis , Maaike de Vries , Mark Fan , Sonia Pinkney , Reza Yousefi-Nooraie , Mathieu Ouimet , Valeria E. Rac , Patricia Trbovich
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引用次数: 0

摘要

背景由于缺乏保障措施,受管制物质(CS)通过多种综合、多样的机制从医疗机构 "转移"(被盗)。在了解医护人员(HCWs)如何在用药过程(MUP)中利用其社会网络(例如,他们的角色/任务以及与其他角色/任务的互动)促成转移方面仍存在差距。社会网络分析(SNA)是一种用于绘制和分析社会联系的分析方法,可帮助识别医护人员与易发生药物转用的任务之间有影响力的相互依存关系。方法这是一项探索性顺序混合方法研究,在加拿大多伦多两家大型医院的住院药房进行。初步分析使用了之前收集的临床观察数据,以确定容易发生 CS 转移的关键药房角色和任务。随后,我们进行了一项横断面调查,以收集医护人员的人口统计学信息,并评估他们在已确定的易被转移任务中的参与情况。临床观察和调查数据被用于执行双模式 SNA,以确定 HCW 与易被药物转移的任务之间的联系。结果分析确定了两个地点不同的网络结构,但强调了药剂师或技术主管对中度-高度易被药物转移的任务进行战略性监督的重要性。分析发现,药房技术人员是网络中最核心的参与者,而药剂师则在网络外围发挥更多的辅助作用,提供监督。在这两个地点,医护人员和任务之间都有很强的关联性,这表明针对潜在的未被发现的药物转用具有更高的安全性。通过确定每个单位的网络结构,医院可以发现未来干预的机会,以防止转用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the social networks that contribute to diversion in hospital inpatient pharmacies: A social network analysis

Background

Controlled substances (CS) are ‘diverted’ (stolen) from healthcare facilities via many integrated and diverse mechanisms due to a lack of safeguards. There remains a gap in understanding how healthcare workers (HCWs) leverage their social networks (e.g., their role/tasks and interactions with other roles/tasks) within the medication use process (MUP) that contribute to diversion. Social network analysis (SNA) is an analytic approach used to map and analyze social connections, which can help identify influential interdependence between HCWs and tasks susceptible to drug diversion.

Objectives

To map the social network structures of MUP tasks vulnerable to CS diversion in two Inpatient pharmacies and compare diversion risks by identifying influential tasks and HCWs.

Methods

This was an exploratory sequential mixed methods study conducted in the Inpatient pharmacies at two large hospitals in Toronto, Canada. Initial analysis used previously collected clinical observation data to identify key pharmacy roles and tasks vulnerable to CS diversion. Subsequently, a cross-sectional survey was conducted to collect demographic information on HCWs and assess their engagement in the identified vulnerable tasks. Clinical observations and survey data were used to perform two-mode SNA to identify connections between HCWs and tasks susceptible to drug diversion.

Results

The analysis identified different network structures across both sites but highlighted the importance of strategic Pharmacist or Technician Supervisor oversight to moderate-high vulnerability tasks. Pharmacy technicians were found to be the network's most central actors, while Pharmacists had a more supportive role on the network's periphery, providing oversight. Across both sites, there was strong connectivity between HCWs and tasks, indicating a higher level of security against potential undetected diversion.

Conclusion

By strategically involving Pharmacists or Technician Supervisors, diversion risk can be mitigated through cross-checking and quality control. Through identifying the network structure of each unit, hospitals can identify opportunities for future interventions to prevent diversion.
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来源期刊
CiteScore
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