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A modelling tool for policy analysis to support the design of efficient and effective policy responses for complex public health problems

机译:政策分析的建模工具可支持针对复杂的公共卫生问题设计有效的政策对策

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摘要

BackgroundIn the design of public health policy, a broader understanding of risk factors for disease across the life course, and an increasing awareness of the social determinants of health, has led to the development of more comprehensive, cross-sectoral strategies to tackle complex problems. However, comprehensive strategies may not represent the most efficient or effective approach to reducing disease burden at the population level. Rather, they may act to spread finite resources less intensively over a greater number of programs and initiatives, diluting the potential impact of the investment. While analytic tools are available that use research evidence to help identify and prioritise disease risk factors for public health action, they are inadequate to support more targeted and effective policy responses for complex public health problems.
机译:背景技术在公共卫生政策的设计中,对生命过程中疾病风险因素的更广泛理解以及对健康社会决定因素的认识不断提高,因此导致了开发更全面,跨部门的战略来应对复杂的问题。但是,综合策略可能并不能代表减轻人群总体疾病负担的最有效方法。相反,它们可能会采取行动,将有限的资源以较低的强度分配给更多的计划和计划,从而稀释了投资的潜在影响。尽管可以使用分析工具来利用研究证据来帮助确定疾病风险因素并确定其优先级,以进行公共卫生行动,但它们不足以支持针对复杂的公共卫生问题采取更有针对性和更有效的政策应对措施。

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