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Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis
1Faculty of Informatics and Statistics, University of Economics Prague, Prague, Czech Republic.
Frontiers in Public Health
|March 16, 2018
Summary
This study introduces a new method using data envelopment analysis (DEA) to measure geographic inequality in multiple health resources. The findings highlight existing disparities in healthcare resource allocation.
Area of Science:
- Health Economics
- Health Services Research
- Quantitative Methods
Background:
- Geographic disparities in health resources, expenditures, utilization, and outcomes are widely documented globally.
- Ensuring equitable access to healthcare is a key objective in publicly financed health systems.
- Inequale geographic allocation of health resources presents a significant health policy challenge.
Purpose of the Study:
- To develop a novel measure for assessing geographic inequality across multiple health resources.
- To adapt data envelopment analysis (DEA) for the measurement of health resource inequality.
- To illustrate the application of the developed measure using data from the Czech Republic.
Main Methods:
- Utilized data envelopment analysis (DEA), a non-parametric method, to synthesize multiple health resources into a single virtual resource.
- Employed DEA, originally designed for efficiency measurement, to quantify geographic inequality.
- Calculated Robin Hood Indexes (RHIs) for individual resources (physicians, nurses) and a combined RHI for multiple resources.
Main Results:
- The study successfully adapted DEA for measuring geographic inequality in health resources.
- Separate Robin Hood Indexes (RHIs) were 6.64% for physicians and 3.96% for nurses in the Czech Republic.
- A combined RHI of 5.06% was calculated, accounting for the synergistic effect of multiple health resources serving regional populations.
Conclusions:
- Data envelopment analysis (DEA) is a viable and effective tool for measuring geographic inequality in the distribution of multiple health resources.
- The developed measure provides a quantitative approach to understanding and addressing health resource allocation disparities.
- Findings from the Czech Republic illustrate the practical application and insights gained from the new inequality measure.
Keywords:
Czech Republicdata envelopment analysisgeographic inequalityhealth resourcesresource allocationMore Related Videos
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