Primary care and public health center (unisante) - University of Lausanne, Route de la Corniche 10, 1010 Lausanne, Switzerland.
Primary care and public health center (unisante) - University of Lausanne, Route de la Corniche 10, 1010 Lausanne, Switzerland.
Health Policy. 2019 Dec;123(12):1275-1281. doi: 10.1016/j.healthpol.2019.10.010. Epub 2019 Oct 31.
Switzerland is the world's second largest spender on health care, both per capita and as a share of the Gross Domestic Product (GDP). The Swiss health care system is a federation of 26 cantonal systems with highly fragmented provision and financing of care, leading to important geographical disparities in expenditures. We propose a simple conceptual framework to guide the decomposition of health care expenditures into five core components (i.e. demography, propensity to use health services, substitution between domains of care, quantity of services delivered, and unit price of these services), with the objective of better understanding the drivers of geographic variation. We illustrate this framework using aggregated insurance data from 85 % of the 2006 insured population and measure cross-cantonal variation disaggregated into these five components. Results obtained indicated a West-East gradient of controllable costs after adjusting for demography and propensity to use health services. Moreover, we found specific explanations for cost overruns: visits to physicians in private practice in some cantons, and, e.g., outpatient hospital care or variations in drug related expenses in others. This shows that the simple proposed approach provides interesting insights into the drivers of cost differences between regions, specifically in terms of substitution among health services, quantity of delivered services, and their prices.
瑞士在医疗保健方面的支出在世界上位居第二,无论是人均支出还是国内生产总值(GDP)占比都位居第二。瑞士的医疗保健系统由 26 个州的系统组成,医疗服务的提供和融资高度分散,导致支出在地理上存在重要差异。我们提出了一个简单的概念框架,将医疗保健支出分解为五个核心组成部分(即人口统计学、使用医疗服务的倾向、护理领域之间的替代、提供的服务数量以及这些服务的单位价格),目的是更好地了解地理差异的驱动因素。我们使用 2006 年 85%的参保人群的汇总保险数据说明了这个框架,并将跨州的差异分解为这五个组成部分进行了衡量。结果表明,在调整人口统计学和使用医疗服务的倾向后,可控成本呈现出由西向东的梯度分布。此外,我们还找到了成本超支的具体原因:在某些州,私人执业医生的就诊次数较多,而在其他州,则是门诊医院护理或药物相关费用的差异等。这表明,所提出的简单方法可以深入了解地区间成本差异的驱动因素,特别是在医疗服务之间的替代、提供的服务数量及其价格方面。