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审视跨部门行动作为实施多方利益相关者合作以实现可持续发展目标的一种方法。

Examining Intersectoral Action as an Approach to Implementing Multistakeholder Collaborations to Achieve the Sustainable Development Goals.

机构信息

Division of Social and Behavioural Health Sciences, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada.

出版信息

Int J Public Health. 2022 May 16;67:1604351. doi: 10.3389/ijph.2022.1604351. eCollection 2022.

Abstract

The Sustainable Development Goals (SDGs) re-orient action towards improving the social and ecological determinants of health and equity. SDG 17 calls for enhanced policy and institutional coherence and strong multi-stakeholder partnerships. Intersectoral action (IA) has a promising history in public health, including health promotion and global health. Some experts see IA as crucial to the SDGs. Yet less is known about how IA is conceptualized and what promising models exist with relevance to the SDGs. We sought to investigate how IA is understood conceptually and empirically. We conducted a narrative review of global public health and political science literatures and grey literature on the SDGs to identify theoretical models, case studies and reviews of IA research. Multiple competing conceptualizations of IA exist. Research has focused on case studies in high-income countries. More conceptual clarity, analyses of applications in LMICs, and explorations of political and institutional factors affecting IA are needed, as is attention to power dynamics between sectors. IA is required to collaborate on the SDGs and address equity. New models for successful implementation merit exploration.

摘要

可持续发展目标(SDGs)重新调整行动方向,以改善健康和公平的社会和生态决定因素。可持续发展目标 17 呼吁加强政策和体制一致性,并建立强有力的多方利益攸关方伙伴关系。部门间行动(IA)在公共卫生领域,包括健康促进和全球卫生方面,有着良好的历史记录。一些专家认为 IA 对可持续发展目标至关重要。然而,关于 IA 的概念化以及与可持续发展目标相关的有前途的模式,人们知之甚少。我们试图调查 IA 在概念和经验上是如何被理解的。我们对全球公共卫生和政治学文献以及关于可持续发展目标的灰色文献进行了叙述性综述,以确定 IA 研究的理论模型、案例研究和综述。IA 存在多种相互竞争的概念化。研究集中在高收入国家的案例研究上。需要更多的概念清晰度、对中低收入国家应用的分析,以及对影响 IA 的政治和体制因素的探讨,还需要关注部门之间的权力动态。需要进行 IA 合作以实现可持续发展目标和解决公平问题。需要探索新的成功实施模型。

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