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The aim of this paper is to decompose inpatient care costs in the Swiss canton of Zurich by 100 diseases and 42 age\/sex groups and to assess the contribution of six factors to the change in aggregate costs between 2013 and 2017. These six factors are population size, age and sex structure, inpatient treated prevalence, utilization in terms of stays per patient, length of stay per case, and costs per treatment day. Using detailed inpatient cost data at the case level, we find that the most important contributor to the change in disease-specific costs was a rise in costs per treatment day. For most conditions, this effect was partly offset by a reduction in the average length of stay. Changes in population size accounted for one third of the total increase, but population structure had only a small positive association with costs. The most expensive cases accounted for the largest part of the increase in costs, but the magnitude of this effect differed across diseases. A better understanding of the factors related to cost changes at the disease level over time is essential for the design of targeted health policies aiming at an affordable health care system.<\/jats:p>","DOI":"10.1007\/s10198-020-01243-3","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T06:22:38Z","timestamp":1610518958000},"page":"195-221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition"],"prefix":"10.1007","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2595-1238","authenticated-orcid":false,"given":"Michael","family":"Stucki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,12]]},"reference":[{"key":"1243_CR1","unstructured":"Federal Statistical Office: Kosten und Finanzierung des Gesundheitswesens (National Health Accounts) (2018)"},{"key":"1243_CR2","unstructured":"Federal Statistical Office: Krankenhausstatistik (Hospital Statistics) (2018)"},{"key":"1243_CR3","unstructured":"World Bank: World Bank Open Data. https:\/\/data.worldbank.org\/ (2019). 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