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系统思维和复杂性科学方法与非传染性疾病预防政策过程:系统范围综述。

Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review.

机构信息

Global Food System & Policy Research, School of Global Health, York University, Toronto, ON, Canada.

Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.

出版信息

Int J Health Policy Manag. 2023;12:6772. doi: 10.34172/ijhpm.2023.6772. Epub 2023 Feb 26.

Abstract

BACKGROUND

Given the complex determinants of non-communicable diseases (NCDs), and the dynamic policy landscape, researchers and policymakers are exploring the use of systems thinking and complexity science (STCS) in developing effective policies. The aim of this review is to systematically identify and analyse existing applications of STCS-informed methods in NCD prevention policy.

METHODS

Systematic scoping review: We searched academic databases (Medline, Scopus, Web of Science, EMBASE) for all publications indexed by 13 October 2020, screening titles, abstracts and full texts and extracting data according to published guidelines. We summarised key data from each study, mapping applications of methods informed by STCS to policy process domains. We conducted a thematic analysis to identify advantages, limitations, barriers and facilitators to using STCS.

RESULTS

4681 papers were screened and 112 papers were included in this review. The most common policy areas were tobacco control, obesity prevention and physical activity promotion. Methods applied included system dynamics modelling, agent-based modelling and concept mapping. Advantages included supporting evidence-informed decision-making; modelling complex systems and addressing multi-sectoral problems. Limitations included the abstraction of reality by STCS methods, despite aims of encompassing greater complexity. Challenges included resource-intensiveness; lack of stakeholder trust in models; and results that were too complex to be comprehensible to stakeholders. Ensuring stakeholder ownership and presenting findings in a user-friendly way facilitated STCS use.

CONCLUSION

This review maps the proliferating applications of STCS methods in NCD prevention policy. STCS methods have the potential to generate tailored and dynamic evidence, adding robustness to evidence-informed policymaking, but must be accessible to policy stakeholders and have strong stakeholder ownership to build consensus and change stakeholder perspectives. Evaluations of whether, and under what circumstances, STCS methods lead to more effective policies compared to conventional methods are lacking, and would enable more targeted and constructive use of these methods.

摘要

背景

鉴于非传染性疾病(NCD)的复杂决定因素和动态政策环境,研究人员和政策制定者正在探索使用系统思维和复杂性科学(STCS)来制定有效的政策。本综述的目的是系统地识别和分析现有的 STCS 方法在 NCD 预防政策中的应用。

方法

系统范围的审查:我们在学术数据库(Medline、Scopus、Web of Science、EMBASE)中搜索了截至 2020 年 10 月 13 日索引的所有出版物,筛选标题、摘要和全文,并根据已发布的指南提取数据。我们总结了每个研究的关键数据,将 STCS 方法应用于政策过程领域。我们进行了主题分析,以确定使用 STCS 的优点、局限性、障碍和促进因素。

结果

筛选出 4681 篇论文,本综述纳入了 112 篇论文。最常见的政策领域是烟草控制、肥胖预防和身体活动促进。应用的方法包括系统动力学建模、基于代理的建模和概念映射。优点包括支持循证决策;对复杂系统进行建模并解决多部门问题。局限性包括 STCS 方法对现实的抽象化,尽管其目的是包含更大的复杂性。挑战包括资源密集型;利益相关者对模型缺乏信任;以及结果过于复杂,无法为利益相关者所理解。确保利益相关者的所有权并以用户友好的方式呈现结果有助于 STCS 的使用。

结论

本综述绘制了 STCS 方法在 NCD 预防政策中不断增多的应用图。STCS 方法有可能生成针对性强且动态的证据,为循证决策增加稳健性,但必须让政策利益相关者能够理解,并且必须具有强大的利益相关者所有权,以建立共识并改变利益相关者的观点。缺乏对 STCS 方法与传统方法相比是否更能制定出有效政策的评估,以及缺乏针对这些方法的更有针对性和建设性的使用方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8400/10125079/66c34a6e71d1/ijhpm-12-6772-g001.jpg

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