Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/315018 
Year of Publication: 
2025
Series/Report no.: 
Working Paper No. 2503
Publisher: 
Johannes Kepler University of Linz, Department of Economics, Linz
Abstract: 
Patient selection remains a major challenge in evaluating hospital performance. We exploit the quasi-random assignment of patients to hospitals, based on a rotation schedule between hospitals in the Upper Austrian capital of Linz. In the instrumental variable (IV) framework, we use high-quality administrative data and estimate hospital performance on patient outcomes such as mortality and readmission. We contrast these results with those of traditional risk adjustment models based on patient observables. We find that the assessment of hospital performance is sensitive to the inclusion of patient observables and that increasing the number of socioeconomic covariates to better control for patient risk profiles does not always help bring risk-adjusted estimates closer to IV estimates. Our results suggest that common risk adjustment does not adequately control for patient differences between hospitals and that hospital quality indicators based on common administrative data should be interpreted with caution. The trend toward personalized medicine may support the process of collecting more clinical information at the individual level, thus allowing for better quality comparisons between hospitals.
Subjects: 
Hospital performance
hospitalization
health risk adjustment
admission schedule
JEL: 
I11
I18
H42
L13
Document Type: 
Working Paper

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