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我们应该如何评估含糖饮料税收政策?全球经验回顾。

How should we evaluate sweetened beverage tax policies? A review of worldwide experience.

机构信息

Carolina Population Center, University of North Carolina at Chapel Hill, CB #8120, 137 East Franklin Street, Chapel Hill, NC, 27516, USA.

Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, CB#7461, UNC-Chapel Hill, Chapel Hill, NC, 27599-7461, USA.

出版信息

BMC Public Health. 2021 Oct 26;21(1):1941. doi: 10.1186/s12889-021-11984-2.

Abstract

Over 45 jurisdictions globally have implemented sweetened beverage taxes. Researchers and policymakers need to assess whether and how these taxes change beverage demand and supply, their intended and unanticipated health, economic and equity impacts. Lessons from such evaluations can maximise the policies' success and impact on non-communicable disease prevention globally. We discuss key theoretical, design and methodological considerations to help policymakers, funders and researchers commission and conduct rigorous evaluations of these policies and related disease prevention efforts. We encourage involving the perspectives of various stakeholders on what evaluations are needed given the specific context, what data and methods are appropriate, readily available or can be collected within time and budget constraints. A logic model /conceptual system map of anticipated implications across sectors and scales should help identify optimal study design, analytical techniques and measures. These models should be updated when synthesising findings across diverse methods and integrating findings across subpopulations using similar methods.

摘要

目前,全球已有超过 45 个司法管辖区实施了含糖饮料征税政策。研究人员和政策制定者需要评估这些政策是否以及如何改变饮料的需求和供应,以及它们预期和意外的健康、经济和公平影响。从这些评估中吸取的经验教训可以最大限度地提高这些政策在全球预防非传染性疾病方面的成功和影响。我们讨论了关键的理论、设计和方法学考虑因素,以帮助政策制定者、资助者和研究人员委托和进行这些政策及相关疾病预防工作的严格评估。我们鼓励在特定背景下,根据需要让不同利益相关者参与评估,确定哪些数据和方法是合适的、现成的或可以在时间和预算限制内收集的。一个跨部门和跨规模的预期影响的逻辑模型/概念系统图应有助于确定最佳的研究设计、分析技术和措施。在使用不同方法综合发现并使用类似方法整合子人群的发现时,应更新这些模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f2/8547036/d88fe0f822ef/12889_2021_11984_Fig1_HTML.jpg

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