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Developing policy analytics for public health strategy and decisions—the Sheffield alcohol policy model framework

机译:开发用于公共卫生策略和决策的政策分析-谢菲尔德酒精饮料政策模型框架

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摘要

This paper sets out the development of a methodological framework for detailed evaluation of public health strategies for alcohol harm reduction to meet UK policy-makers needs. Alcohol is known to cause substantial harms, and controlling its affordability and availability are effective policy options. Analysis and synthesis of a variety of public and commercial data sources is needed to evaluate impact on consumers, health services, crime, employers and industry, so a sound evaluation of impact is important. We discuss the iterative process to engage with stakeholders, identify evidence/data and develop analytic approaches and produce a final model structure. We set out a series of steps in modelling impact including: classification and definition of population subgroups of interest, identification and definition of harms and outcomes for inclusion, classification of modifiable components of risk and their baseline values, specification of the baseline position on policy variables especially prices, estimating effects of changing policy variables on risk factors including price elasticities, quantifying risk functions relating risk factors to harms including 47 health conditions, crimes, absenteeism and unemployment, and monetary valuation. The most difficult model structuring decisions are described, as well as the final results framework used to provide decision support to national level policymakers in the UK. In the discussion we explore issues around the relationship between modelling and policy debates, valuation and scope, limitations of evidence/data, how the framework can be adapted to other countries and decisions. We reflect on the approach taken and outline ongoing plans for further development.
机译:本文提出了一种方法框架的开发,用于详细评估减少酒精危害的公共卫生策略,以满足英国决策者的需求。众所周知,酒精会造成重大危害,控制其价格和可得性是有效的政策选择。需要分析和综合各种公共和商业数据源来评估对消费者,医疗服务,犯罪,雇主和行业的影响,因此,对影响进行合理的评估非常重要。我们讨论了与利益相关者互动,确定证据/数据并开发分析方法并产生最终模型结构的迭代过程。我们设定了影响建模的一系列步骤,包括:对感兴趣的亚组进行分类和定义,对危害和结果的识别和定义,纳入的可更改风险成分及其基线值的分类,对政策变量的基线位置的规定尤其是价格,评估政策变量对包括价格弹性在内的风险因素的影响,量化将风险因素与包括47种健康状况,犯罪,旷工和失业在内的危害相关的风险函数,以及货币估值。描述了最困难的模型结构决策,以及用于为英国国家级决策者提供决策支持的最终结果框架。在讨论中,我们围绕建模与政策辩论之间的关系,评估和范围,证据/数据的局限性,如何使框架适应其他国家和决策等问题进行探讨。我们对所采取的方法进行反思,并概述了正在进行的进一步开发计划。

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