Horvath Thomas, Leoni Thomas, Reschenhofer Peter, Spielauer Martin
Austrian Institute of Economic Research (WIFO), Arsenal Objekt 20, Vienna, 1030, Austria.
University of Applied Sciences Wiener Neustadt (FHWN), Schlögelgasse 22-26, Wiener Neustadt, 2700, Austria.
BMC Health Serv Res. 2025 Jul 12;25(1):952. doi: 10.1186/s12913-025-13072-2.
Population ageing is associated with rising healthcare expenditure. To inform policy and adapt health systems accordingly, a detailed quantitative analysis of the different components of ageing and other factors that influence cost dynamics is needed.
We use dynamic microsimulation to project healthcare expenditure in Austria and disentangle the effects of changes in longevity, population age-structure, healthy life years and socio-economic health disparities. By combining price weights for healthcare services with information on healthcare consumption from the Austrian Health Interview Survey, we construct average cost profiles by gender, age, and education. These profiles, aligned with the System of Health Accounts, are integrated into the microDEMS model, along with official population projections, to estimate expenditure scenarios until 2060. We examine the relationship between rising life expectancy and changes in healthy life years and assess the potential impact of closing the gap in costs currently observed between education groups. Total and per-capita cost trajectories are derived and evaluated against two indicators for the size of the labor force to assess economic implications.
In all scenarios, demographic ageing increases the financial burden on the economically active population, even with morbidity compression. Nearly two-thirds of the projected cost increase stems from declining mortality, while one-third results from age-structure changes. Per-capita costs rise by 26% under a morbidity expansion scenario but could decrease by 5% if lower mortality is accompanied by an extension of healthy life years and a reduction in socio-economic health disparities. In economic terms, costs per working-age person increase by 12% to 48%, depending on the scenario. When adjusting for labor force expansion and the associated economic benefits, the increase ranges between 5% and 39%.
Rising healthcare expenditure poses a major challenge in an ageing society. However, policies that extend healthy life years and reduce socio-economic disparities offer viable strategies to significantly mitigate the economic impact of ageing.
人口老龄化与医疗保健支出的增加相关。为了为政策提供依据并相应地调整卫生系统,需要对老龄化的不同组成部分以及其他影响成本动态的因素进行详细的定量分析。
我们使用动态微观模拟来预测奥地利的医疗保健支出,并剖析寿命变化、人口年龄结构、健康生命年和社会经济健康差距的影响。通过将医疗服务的价格权重与奥地利健康访谈调查中的医疗消费信息相结合,我们构建了按性别、年龄和教育程度划分的平均成本概况。这些与卫生账户体系一致的概况,连同官方人口预测,被纳入微观动态人口经济模型,以估计到2060年的支出情景。我们研究预期寿命上升与健康生命年变化之间的关系,并评估缩小当前教育群体之间观察到的成本差距的潜在影响。得出总成本和人均成本轨迹,并根据劳动力规模的两个指标进行评估,以评估经济影响。
在所有情景中,即使存在发病压缩,人口老龄化也会增加经济活跃人口的财政负担。预计成本增加的近三分之二源于死亡率下降,而三分之一源于年龄结构变化。在发病扩张情景下,人均成本上升26%,但如果较低的死亡率伴随着健康生命年的延长和社会经济健康差距的缩小,人均成本可能会下降5%。从经济角度来看,根据情景不同,每个工作年龄人口的成本增加12%至48%。在考虑劳动力扩张和相关经济利益进行调整后,增加幅度在5%至39%之间。
医疗保健支出的增加在老龄化社会中构成了重大挑战。然而,延长健康生命年并减少社会经济差距的政策提供了可行的策略,以显著减轻老龄化的经济影响。