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Demand-side determinants of rising hospital admissions in Germany: the role of ageing

机译:德国住院人数上升的需求方决定因素:老龄化的作用

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摘要

In this study, we investigated the relationship between changes in demand-side determinants and changes in hospital admissions. We used longitudinal market-wide data, including a novel detailed measure of population morbidity. To assess the effect of ageing, we interacted age with shifts in the population structure for both the surviving population and the population in their last year of life. We used fixed effects models and addressed the endogeneity of morbidity with instrumental variables. We found that changes in morbidity had the largest impact on changes in hospital admissions. Changes in the size of the surviving population had the second largest impact, which differed substantially across the age spectrum. There was a large response in admissions to changes in the size of the population aged 60–79 years. The end-of-life effect had the smallest impact and began to play a greater role only in the population aged 80 years and older. In many studies, end of life presumably approximates high morbidity. Our results demonstrated robustness in several tests. We performed estimations in separate major diagnostic categories and included changes in personal preferences. We argue that the determinants included in our estimations capture the vast majority of change on the demand side. Taken together, our findings provide evidence that these determinants explain one-fifth of changes in hospital admissions.
机译:在这项研究中,我们调查了需求方决定因素的变化与住院人数变化之间的关系。我们使用了整个市场的纵向数据,包括新颖的人口发病率详细度量。为了评估老龄化的影响,我们将年龄与幸存人口及其最后一生中人口结构的变化进行了互动。我们使用固定效应模型,并通过工具变量解决了发病率的内生性。我们发现发病率的变化对住院人数的变化影响最大。生存人口规模的变化具有第二大影响,在整个年龄段中差异很大。入学对60-79岁人口规模变化的反应很大。寿命终止效应影响最小,并且仅在80岁以上的人口中开始发挥更大的作用。在许多研究中,生命的终止大概是高发病率。我们的结果在几个测试中证明了其鲁棒性。我们在不同的主要诊断类别中进行了估算,并包括了个人喜好的变化。我们认为,估计中包含的决定因素反映了需求方面的绝大多数变化。综上所述,我们的发现提供了证据,表明这些决定因素解释了住院人数变化的五分之一。

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