Stroke is a major cause of death and disability around the world, and the care of stroke patients ties up a great amount of resources in healthcare systems. Stroke severity and the given care may vary substantially between patients, and there is remarkable variation in both the costs and length of stay (LoS) of stroke patients. Using patient level data from 10 European countries on costs and LoS, we explored the ability of the diagnosis-related group (DRG) systems to explain variance in the costs and length of stay of stroke patients. In addition, we evaluated whether the existing DRGs for stroke patients would benefit from additional patient-related and treatment-related factors that are commonly found in the administrative databases across countries. Cost analyses were run using OLS fixed effects models, and LoS analyses with negative binomial models. The descriptive statistics showed that the stroke patients differ remarkably across countries. Large variations in the classification of stroke patients raise concerns about whether all systems rely on the most appropriate classification variables. In all the countries, the DRG classifications' performance could be improved with the introduction of the patient characteristics analysed here.
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http://dx.doi.org/10.1002/hec.2841 | DOI Listing |
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