Department of Organization Studies, Tilburg University, Tilburg, the Netherlands.
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
PLoS One. 2019 Jul 10;14(7):e0219548. doi: 10.1371/journal.pone.0219548. eCollection 2019.
The emergence and spread of multidrug resistant microorganisms is a serious threat to transnational public health. Therefore, it is vital that cross-border outbreak response systems are constantly prepared for fast, rigorous, and efficient response. This research aims to improve transnational collaboration by identifying, visualizing, and exploring two cross-border response networks that are likely to unfold during outbreaks involving the Netherlands and Germany.
Quantitative methods were used to explore response networks during a cross-border outbreak of carbapenem resistant Enterobacteriaceae in healthcare settings. Eighty-six Dutch and German health professionals reflected on a fictive but realistic outbreak scenario (response rate ≈ 70%). Data were collected regarding collaborative relationships between stakeholders during outbreak response, prior working relationships, and trust in the networks. Network analysis techniques were used to analyze the networks on the network level (density, centralization, clique structures, and similarity of tie constellations between two networks) and node level (brokerage measures and degree centrality).
Although stakeholders mainly collaborate with stakeholders belonging to the same country, transnational collaboration is present in a centralized manner. Integration of the network is reached, since several actors are beneficially positioned to coordinate transnational collaboration. However, levels of trust are moderately low and prior-existing cross-border working relationships are sparse.
Given the explored network characteristics, we conclude that the system has a promising basis to achieve effective coordination. However, future research has to determine what kind of network governance form might be most effective and efficient in coordinating the necessary cross-border response activity. Furthermore, networks identified in this study are not only crucial in times of outbreak containment, but should also be fostered in times of non-crisis.
多药耐药微生物的出现和传播对跨国公共卫生构成了严重威胁。因此,不断准备跨境疫情应对系统以实现快速、严格和高效的应对至关重要。本研究旨在通过识别、可视化和探索在涉及荷兰和德国的疫情爆发期间可能展开的两个跨境应对网络,来改善跨国合作。
采用定量方法探讨了医疗机构中碳青霉烯类耐药肠杆菌科细菌跨境疫情爆发期间的应对网络。86 名荷兰和德国卫生专业人员对一个虚构但现实的疫情爆发场景进行了反思(响应率≈70%)。收集了在疫情应对期间利益相关者之间的合作关系、先前的工作关系以及对网络的信任度的数据。使用网络分析技术分析了网络的网络层面(密度、集中化、团块结构以及两个网络之间的关系结构相似性)和节点层面(经纪人措施和度数中心度)。
尽管利益相关者主要与来自同一国家的利益相关者合作,但跨境合作是以集中的方式存在的。网络的整合已经实现,因为有几个参与者处于有利地位,可以协调跨境合作。然而,信任度水平适中较低,并且先前存在的跨境工作关系稀疏。
鉴于所探索的网络特征,我们得出结论,该系统具有实现有效协调的良好基础。然而,未来的研究必须确定哪种网络治理形式在协调必要的跨境应对活动方面最为有效和高效。此外,本研究中确定的网络不仅在疫情控制期间至关重要,而且在非危机时期也应加以培养。