Broer Tineke, Bal Roland, Pickersgill Martyn
Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Institute of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Sci Cult (Lond). 2017 Apr 3;26(2):135-160. doi: 10.1080/09505431.2016.1212003. Epub 2016 Sep 19.
Within the literature on the evaluation of health (policy) interventions, complexity is a much-debated issue. In particular, many claim that so-called 'complex interventions' pose different challenges to evaluation studies than apparently 'simple interventions' do. Distinct ways of doing evaluation entail particular ontologies and epistemologies of complexity. They differ in terms of whether they define complexity as a quantitative trait of interventions, whether they see evaluation as part of or outside the intervention, and whether complexity can be regarded as an emergent property of the intervention and its evaluation. In practice, evaluators and commissioners of large health care improvement programmes rely on different, sometimes contradictory, repertoires about what it means to conduct a 'good' evaluation. This is an ongoing matter negotiated between and among commissioners, researchers, and-sometimes-programme managers. In particular, notions of evaluability, usefulness and distance/independence are problematised in different ways and with diverse consequences, which, in turn, produce other notions and layers of complexity such as temporal, institutional and affective complexities. When (social science) researchers claim that one method or another is better able to grasp complexity, they elide the issue that any methodological choice emphasises some complexities and lets others fade into the background. Analysing the practicalities and emotions involved in evaluation studies opens up the notion of complexity to analytical scrutiny, and suggests a basis for co-theorising between biomedical, public health and social scientists (including Science and Technology Studies scholars).
在关于健康(政策)干预评估的文献中,复杂性是一个备受争议的问题。特别是,许多人声称,所谓的“复杂干预”给评估研究带来的挑战与明显“简单干预”带来的不同。不同的评估方式需要特定的复杂性本体论和认识论。它们在是否将复杂性定义为干预的定量特征、是否将评估视为干预的一部分或外部因素,以及复杂性是否可被视为干预及其评估的一种涌现属性等方面存在差异。在实践中,大型医疗保健改善项目的评估者和委托方对于进行“良好”评估的含义依赖于不同的、有时相互矛盾的方法。这是委托方、研究人员以及有时还有项目管理者之间正在协商的问题。特别是,可评估性、有用性和距离/独立性的概念以不同方式被质疑,并产生不同后果,进而产生其他复杂性概念和层面,如时间、制度和情感复杂性。当(社会科学)研究人员声称一种或另一种方法更能把握复杂性时,他们忽略了这样一个问题,即任何方法选择都会强调某些复杂性而使其他复杂性退居幕后。分析评估研究中涉及的实际情况和情感,为对复杂性概念进行分析审视打开了大门,并为生物医学、公共卫生和社会科学家(包括科学技术研究学者)之间的共同理论化提供了基础。