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Comparing Some Production Functions for Inpatient Health Services in Selected Public Hospitals in Spain
Manel Antelo1, Francisco Reyes-Santiás2,3, Carmen Cadarso-Suárez4
1a Department of Economics , University of Santiago de Compostela , Santiago de Compostela , Spain.
Hospital Topics
|April 14, 2017
Summary
The Cobb-Douglas and translog models adequately represent hospital production functions for low-complexity services. However, additive models are necessary for high-complexity services, considering physicians and beds as inputs.
Area of Science:
- Health Services Research
- Econometrics
- Hospital Management
Background:
- Widely used Cobb-Douglas and transcendental logarithmic (translog) models are frequently applied to analyze hospital production functions.
- Assessing the adequacy of these models for diverse hospital services is crucial for accurate performance evaluation.
- Hospital production is complex, influenced by various factors including patient case-mix and resource allocation.
Purpose of the Study:
- To evaluate the suitability of Cobb-Douglas, translog, and additive models for hospital inpatient services.
- To determine which production function models best represent services with varying average Diagnosis-Related Group (DRG) weights.
- To compare model performance using physician and bed inputs across different service complexities.
Main Methods:
- Fitted Cobb-Douglas, translog, and additive production function models.
- Utilized data from four high-productivity health services in 10 public hospitals in Galicia, Spain.
- Measured production by Diagnosis-Related Group (DRG)-weighted admissions, with physicians (full-time equivalents) and beds as inputs.
Main Results:
- Cobb-Douglas and translog models adequately represent production functions for services with low average DRG weights.
- Additive models demonstrated greater flexibility and were required for services with higher average DRG weights.
- Model adequacy varied based on the complexity of the health service, as indicated by DRG weights.
Conclusions:
- The choice of production function model for hospital services should consider the average DRG weight of the patient population.
- Additive models offer superior flexibility for modeling complex hospital services with higher DRG weights.
- Resource allocation and performance analysis in hospitals may require more nuanced modeling approaches beyond traditional Cobb-Douglas and translog functions.