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Costs of polish county hospitals-A behavioral panel function
1Department of Applied Economics, Collegium of Management and Finance, Warsaw School of Economics SGH, Warsaw, Poland.
This study analyzed Polish county hospital costs from 2015-2018 using a behavioral cost function. Key findings indicate that increased patient transfers and wages raise costs, while a higher ratio of residents to doctors lowers them.
Area of Science:
- Health Economics
- Hospital Management
- Public Health Policy
Background:
- Understanding healthcare costs is crucial for efficient resource allocation.
- Polish healthcare system underwent significant changes, including the introduction of a hospital network in 2017.
- Hospital cost drivers are influenced by internal characteristics and external environmental factors.
Purpose of the Study:
- To analyze the cost determinants of Polish county hospitals between 2015 and 2018.
- To evaluate the impact of hospital characteristics and the hospital network system on costs.
- To apply a behavioral cost function approach to hospital cost analysis.
Main Methods:
- Utilized a fixed-effect panel model to analyze hospital cost data.
- Incorporated variables such as ownership, bed turnover, patient-days, and emergency department share.
- Included dummy variables to represent the hospital network system introduced in 2017.
Main Results:
- A positive correlation was found between the percentage of emergency department patients transferred and hospital costs.
- Increasing wages were positively associated with higher hospital costs.
- A higher ratio of residents and interns to doctors was linked to decreased hospital costs.
- The introduction of the hospital network showed a negative but statistically insignificant impact on costs.
Conclusions:
- Hospital costs are significantly influenced by operational factors like patient flow and staffing ratios.
- The hospital network system's impact on costs requires further investigation due to statistical insignificance.
- Policy implications may involve optimizing staffing and managing patient transfers to control healthcare expenditures.
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