Systems science and systems thinking for public health: a systematic review of the field.
Systems science and systems thinking for public health: a systematic review of the field.
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DOI：
10.1136/bmjopen-2015-009002
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发表时间：
2015-12-30
期刊：
影响因子：
2.9
通讯作者：
Carey A
中科院分区：
文献类型：
--
作者：
Carey G;Malbon E;Carey N;Joyce A;Crammond B;Carey A
本文报道了一项系统综述的结果，该综述旨在调查公共卫生领域的系统科学研究状况。其目标是：（1）探讨如何在公共卫生领域应用系统方法;（2）确定富有成效的活动领域。对现有文献进行了系统性审查，这些文献借鉴或使用了系统科学（各种形式），并涉及关键的公共卫生行动和关切领域，包括烟草、酒精、肥胖和健康的社会决定因素。117篇文章被纳入综述。归纳定性内容分析用于数据提取。从这些文章中系统地摘录了以下内容：方针、方法、透明度、长处和弱点。然后根据主题（即，每个类别中研究之间的共性）组织这些研究，以提供该领域整体状况的概述。对数据质量的评估是审查本身目标所固有的，因此，作为分析的一部分进行。从审查中确定了4类研究，从编辑和评论文章到复杂的系统动态建模。我们对每一类研究的分析突出了系统科学在加强公共卫生工作方面的潜力，同时也揭示了在公共卫生领域进行的动态系统建模的一些局限性。人们对系统概念和方法的应用如何有助于公共卫生有很大的兴趣。我们的分析表明，软系统建模技术可能是对公共卫生最有用的补充，并且与当前围绕知识转移和政策的辩论非常一致。然而，公共卫生研究人员尚未参与全方位的系统方法。
This paper reports on findings from a systematic review designed to investigate the state of systems science research in public health. The objectives were to: (1) explore how systems methodologies are being applied within public health and (2) identify fruitful areas of activity. A systematic review was conducted from existing literature that draws on or uses systems science (in its various forms) and relates to key public health areas of action and concern, including tobacco, alcohol, obesity and the social determinants of health. 117 articles were included in the review. An inductive qualitative content analysis was used for data extraction. The following were systematically extracted from the articles: approach, methodology, transparency, strengths and weaknesses. These were then organised according to theme (ie, commonalities between studies within each category), in order to provide an overview of the state of the field as a whole. The assessment of data quality was intrinsic to the goals of the review itself, and therefore, was carried out as part of the analysis. 4 categories of research were identified from the review, ranging from editorial and commentary pieces to complex system dynamic modelling. Our analysis of each of these categories of research highlighted areas of potential for systems science to strengthen public health efforts, while also revealing a number of limitations in the dynamic systems modelling being carried out in public health. There is a great deal of interest in how the application of systems concepts and approach might aid public health. Our analysis suggests that soft systems modelling techniques are likely to be the most useful addition to public health, and align well with current debate around knowledge transfer and policy. However, the full range of systems methodologies is yet to be engaged with by public health researchers.