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Engag Sci Technol Soc. 2015;1:47-66.
2
Epistemic modesty, ostentatiousness and the uncertainties of epigenetics: on the knowledge machinery of (social) science.认知谦逊、炫耀与表观遗传学的不确定性:论(社会)科学的知识机制
Sociol Rev Monogr. 2016 Mar;64(1):186-202. doi: 10.1002/2059-7932.12020. Epub 2016 Apr 21.
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Social Science and Neuroscience beyond Interdisciplinarity: Experimental Entanglements.超越跨学科性的社会科学与神经科学:实验性交织
Theory Cult Soc. 2015 Jan;32(1):3-32. doi: 10.1177/0263276414537319.
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Ambivalence, equivocation and the politics of experimental knowledge: a transdisciplinary neuroscience encounter.矛盾情绪、含糊其辞与实验性知识的政治学:一次跨学科神经科学的邂逅
Soc Stud Sci. 2014 Oct;44(5):701-21. doi: 10.1177/0306312714531473.
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Methods don't make assumptions, researchers do: a response to Marchal et al.方法不会做假设,研究者才会:对马尔沙尔等人的回应
Soc Sci Med. 2013 Oct;94:81-2. doi: 10.1016/j.socscimed.2013.06.026. Epub 2013 Jul 5.
6
Realist RCTs of complex interventions - an oxymoron.真实世界对照随机临床试验(RCT)对复杂干预措施而言是一个自相矛盾的概念。
Soc Sci Med. 2013 Oct;94:124-8. doi: 10.1016/j.socscimed.2013.06.025. Epub 2013 Jul 4.
7
Entangled complexity: why complex interventions are just not complicated enough.纠缠复杂性:为什么复杂干预措施还不够复杂。
J Health Serv Res Policy. 2013 Jan;18(1):40-3. doi: 10.1258/jhsrp.2012.012036.
8
Linking research to practice: the organisation and implementation of The Netherlands health and social care improvement programmes.将研究与实践联系起来:荷兰卫生和社会保健改善计划的组织和实施。
Health Policy. 2013 Feb;109(2):175-86. doi: 10.1016/j.healthpol.2012.11.005. Epub 2012 Dec 25.
9
Making the most of evaluation: a mixed methods study in the English NHS.充分利用评估:英国国民保健制度中的混合方法研究。
J Health Serv Res Policy. 2011 Oct;16(4):218-25. doi: 10.1258/jhsrp.2011.010137. Epub 2011 Aug 30.
10
The role of theory in research to develop and evaluate the implementation of patient safety practices.理论在研究中的作用:开发和评估患者安全实践的实施。
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复杂性的问题化:论医疗保健干预与评估中多样复杂性的概念及产生

Problematisations of Complexity: On the Notion and Production of Diverse Complexities in Healthcare Interventions and Evaluations.

作者信息

Broer Tineke, Bal Roland, Pickersgill Martyn

机构信息

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.

出版信息

Sci Cult (Lond). 2017 Apr 3;26(2):135-160. doi: 10.1080/09505431.2016.1212003. Epub 2016 Sep 19.

DOI:10.1080/09505431.2016.1212003
PMID:28515573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5407353/
Abstract

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).

摘要

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。