ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2019
Demand-side determinants of rising hospital admissions in Germany: the role of ageing.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Population aging and changing hospitalization risks in Germany: a decomposition of changes in inpatient cases, 2005-2021.BMC public health · 2026Article
- Baby Boomers in Germany: a secondary data analysis of demographics, regional disparities, healthcare utilization, and mortality.BMC public health · 2026Article
- The impact of ageing, socio-economic differences and the evolution of morbidity on future health expenditure - a dynamic microsimulation.BMC health services research · 2025Article
- Addressing the Knowledge Deficit in Hospital Bed Planning and Defining an Optimum Region for the Number of Different Types of Hospital Beds in an Effective Health Care System.International journal of environmental research and public health · 2023Review
- Article
- Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition.The European journal of health economics : HEPAC : health economics in prevention and care · 2021Article
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2 authors.
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Abstract
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.
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