Unpacking complexity in public health interventions with the Actor-Network Theory
Unpacking complexity in public health interventions with the Actor-Network Theory
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DOI：
10.1093/heapro/daw062
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发表时间：
2018-02-01
影响因子：
2.7
通讯作者：
Potvin, Louise
中科院分区：
文献类型：
--
作者：
Bilodeau, Angele;Potvin, Louise
本文提出了一个社会学知情的理论和方法框架，以解决公共卫生干预(PHI)的复杂性。它首先提出了三个支持使用行动者-网络理论(ANT)作为框架的论点。蚂蚁：(1)处理由人类和非人类实体组成的系统，并提出行动的关系观点；(2)提供对干预-背景交互的理解；(3)是打开干预的黑匣子的工具。ANT提出了三个原则：(1)关注网络实体的连接过程，而不是它们的稳定形式；(2)构成网络的人类实体和非人类实体都具有执行能力；(3)网络和干预相互塑造。三个方法论指南进一步衍生：(1)研究人员的任务包括记录改变网络和干预的事件；(2)事件必须按时间顺序排序，以代表干预的演变；(3)需要广泛的数据来捕捉复杂干预的演变。以ANT为指导，本文有助于调和技术人员和社会对PHI的看法，并提供了一种整合干预过程和效果研究的手段。
This article proposes a sociologically informed theoretical and methodological framework to address the complexity of public health interventions (PHI). It first proposes three arguments in favour of using the Actor-Network Theory (ANT) for the framework. ANT: (1) deals with systems made of human and non-human entities and proposes a relational view of action; (2) provides an understanding of the intervention-context interactions and (3) is a tool for opening the intervention's black box. Three principles derived from ANT addressing theoretical problems with conceptualisation of PHI as complex systems are proposed: (1) to focus on the process of connecting the network entities instead of their stabilised form; (2) both human and non-human entities composing networks have performative capacities and (3) network and intervention shape one another. Three methodological guidelines are further derived: (1) the researcher's task consists in documenting the events that transform the network and intervention; (2) events must be ordered chronologically to represent the intervention's evolution and (3) a broad range of data is needed to capture complex interventions' evolution. Using ANT as a guide, this paper helps reconcile technicist and social views of PHI and provides a mean to integrate process and effect studies of interventions.