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A note on health care productivity with uncertain data
Jens Leth Hougaard1, Christian Overgaard
1Institute of Economics, University of Copenhagen, Studiestraede 6, 1455 Copenhagen K., Denmark. Jens.Leth.Hougaard@econ.ku.dk
Health Care Management Science
|April 15, 2006
Summary
This study extends the Free Disposal Hull (FDH) method to analyze interval production data, improving efficiency measurements for uncertain health care data. The approach enhances data comparability in healthcare applications.
Area of Science:
- Operations Research
- Health Economics
- Econometrics
Background:
- Efficiency measurement in healthcare is challenged by data uncertainty and comparability issues.
- Existing methods like Free Disposal Hull (FDH) are limited in handling interval data.
- Healthcare applications frequently encounter data that is best represented as intervals.
Purpose of the Study:
- To extend the Free Disposal Hull (FDH) method to incorporate interval production data.
- To provide a robust framework for efficiency measurement with uncertain data.
- To address data comparability challenges in healthcare settings.
Main Methods:
- Extension of the Free Disposal Hull (FDH) method.
- Application to interval production data.
- Utilizing a 1-input-2-output model for illustration.
Main Results:
- The extended FDH-method successfully accommodates interval production data.
- Demonstrated applicability using real-world healthcare data.
- Provided insights into efficiency measurement with data uncertainty.
Conclusions:
- The proposed extension of the FDH-method offers a valuable tool for healthcare efficiency analysis.
- Interval data handling improves the reliability of efficiency measurements.
- The method enhances the comparability of healthcare performance data.
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