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Analyzing regional variation in health care utilization using (rich) household microdata
Peter Eibich1, Nicolas R Ziebarth2
1DIW Berlin, Mohrenstrasse 58, 10117 Berlin, Germany; University of Hamburg, Germany.
Health Policy (Amsterdam, Netherlands)
|May 28, 2013
Summary
Geographic variations in German healthcare utilization, including hospitalization and doctor visits, disappear when accounting for individual and regional factors. This study clarifies healthcare access disparities by controlling for key socio-economic and health determinants.
Area of Science:
- Health Services Research
- Public Health
- Health Economics
Background:
- Significant geographic variations in healthcare utilization exist within Germany.
- Previous Small Area Variation (SAV) studies often fail to fully account for confounding factors.
- Understanding drivers of regional healthcare disparities is crucial for policy.
Purpose of the Study:
- To analyze state-level variations in healthcare utilization in Germany.
- To identify and control for individual-level and state-level factors influencing these variations.
- To determine if observed geographic differences persist after statistical adjustments.
Main Methods:
- Utilized the German Socio-Economic Panel (SOEP) microdata.
- Employed statistical methods to control for socio-economic status, health status, health behaviors, and healthcare supply.
- Analyzed hospitalization rates and ambulatory doctor visit frequencies across German states.
Main Results:
- Raw data indicated substantial state-level variations in hospitalization (65-165% of national mean) and doctor visits (90-120% of national mean).
- Former GDR states showed below-average doctor visits but above-average hospitalization rates.
- Statistically significant state-level differences in healthcare utilization vanished after controlling for individual and supply-side factors.
Conclusions:
- Observed geographic variations in healthcare utilization in Germany are largely explained by individual characteristics and regional supply factors.
- The study highlights the importance of comprehensive data and statistical controls in SAV research.
- Policy interventions addressing healthcare disparities should consider socio-economic and health-related determinants.
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