Modelling the costs, health consequences and impact on inequalities of a population level health promoting intervention

对人口层面的健康促进干预措施的成本、健康后果和对不平等的影响进行建模

• 批准号: G0601721/1
• 负责人: Mark Strong
• 金额: $ 33.1万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0601721%2F1
• 关键词: Modelling; costs; health; consequences; impact

There are large differences in life expectancy and the burden of ill health across the UK, both geographically and between different socioeconomic groups. In order to address health inequalities resources must be directed towards policies and programmes that not only improve health overall, but that also reduce the health gap. One of the difficulties for decision makers, however, is that they often do not know what impact a proposed programme will have on health inequalities, or indeed on overall health. This is a particular problem when the proposed programme is complex, an example being the current School Travel Plan initiative. This particular programme has many potential effects on health, both positive and negative, and these may differ in different areas and in different populations.One approach to predicting the costs and health effects of a health promoting programme is through health economic modelling. These mathematical models attempt to replicate the real world in a simplified fashion, combining evidence from diverse sources in order to estimate the outcome of a proposed course of action. This project aims to develop such a model for the school travel plan programme in order to estimate costs, health consequences and the impact on health inequality.

英国各地的预期寿命和健康状况不佳的负担存在很大差异，无论是在地理上还是在不同的社会经济群体之间。为了解决健康不平等问题，必须将资源用于政策和计划，这些政策和计划不仅要改善整体健康状况，还要缩小健康差距。然而，决策者面临的困难之一是，他们常常不知道拟议的计划将对健康不平等或整体健康产生什么影响。当拟议的计划很复杂时，这是一个特殊的问题，例如当前的学校旅行计划倡议。这一特定计划对健康有许多潜在的影响，无论是积极的还是消极的，并且这些影响在不同地区和不同人群中可能有所不同。预测健康促进计划的成本和健康影响的一种方法是通过健康经济模型。这些数学模型试图以简化的方式复制现实世界，结合不同来源的证据来估计拟议行动方案的结果。该项目旨在为学校旅行计划开发这样一个模型，以估计成本、健康后果以及对健康不平等的影响。