Centre for Applied Health Services Research and Technology Assessment, University of Southern Denmark, JB Winsløws Vej 9B, 1, 5000 Odense C, Denmark.
J Environ Public Health. 2012;2012:935825. doi: 10.1155/2012/935825. Epub 2012 Sep 11.
The aim of this study was to develop a method to assess the potential effects of air pollution mitigation on healthcare costs and to apply this method to assess the potential savings related to a reduction in fine particle matter in Denmark.
The effects of air pollution on health were used to identify "exposed" individuals (i.e., cases). Coronary heart disease, stroke, chronic obstructive pulmonary disease, and lung cancer were considered to be associated with air pollution. We used propensity score matching, two-part estimation, and Lin's method to estimate healthcare costs. Subsequently, we multiplied the number of saved cases due to mitigation with the healthcare costs to arrive to an expression for healthcare cost savings.
The potential cost saving in the healthcare system arising from a modelled reduction in air pollution was estimated at €0.1-2.6 million per 100,000 inhabitants for the four diseases.
We have illustrated an application of a method to assess the potential changes in healthcare costs due to a reduction in air pollution. The method relies on a large volume of administrative data and combines a number of established methods for epidemiological analysis.
本研究旨在开发一种评估空气污染减排对医疗保健成本潜在影响的方法，并应用该方法评估丹麦减少细颗粒物相关的潜在节省。
空气污染对健康的影响用于确定“暴露”个体（即病例）。冠心病、中风、慢性阻塞性肺疾病和肺癌被认为与空气污染有关。我们使用倾向评分匹配、两部分估计和 Lin 方法来估计医疗保健成本。随后，我们将因减排而节省的病例数乘以医疗保健成本，得出医疗保健成本节省的表达式。
模型显示，空气污染减少可能使医疗保健系统节省 10 万居民 0.1-260 万欧元的费用，这涉及四种疾病。
我们已经说明了一种应用方法，用于评估因空气污染减少而导致的医疗保健成本潜在变化。该方法依赖于大量的行政数据，并结合了一些用于流行病学分析的成熟方法。
