A Study on Regional Disparities in Access to Inpatient Care, Using the Gini Coefficient
- Author:
Masanori Harada
;
Masanobu Okayama
;
Ryusuke Ae
;
Takao Kojo
;
Masakazu Aihara
;
Eiji Kajii
- Publication Type:Journal Article
- Keywords:
geographic information system (GIS);
Gini coefficient;
hospital (inpatient care);
accessibility
- From:General Medicine
2012;13(1):25-29
- CountryJapan
- Language:English
-
Abstract:
Background: When analyzing regional disparities in healthcare resources, hospital accessibility is given little consideration. We surveyed accessibility from residential districts to medical institutions using GIS (Geographic Information System) and estimated Gini coefficient for each hospital distribution.
Methods: The subjects were 2,688 census mesh blocks ( “Cho-cho-aza” ) and 109 hospitals in Tochigi prefecture. The number of hospitals located within the road distances of 5 km, 10 km and 15 km from the geometrical center of each block was calculated using GIS. The Gini coefficient of each hospital per 100 residents was calculated among the regions located within 5 km, 10 km and 15 km from the geometrical center of the census mesh block.
Results: The population of each block was 748±1,067 (mean±SD), and the road distance to the nearest hospital from the center of each block was 4.3±4.5 km. The number of census mesh blocks with distances from the center of each block to the nearest hospital within 5 km, 5-10 km, 10-15 km and more than 15 km were 1909 (71.0%), 561 (20.9%), 139 (5.2%) and 79 (2.9%) respectively. The number of hospitals located within 5 km, 10 km and 15 km were 3.3±4.7, 8.3±8.6 and 14.4±11.4. Gini coefficients were 0.65, 0.52 and 0.43.
Conclusion: When analyzing regional disparities in healthcare resources, it is necessary to take into account not only the number of physicians and beds, but also accessibility. Gini coefficient is useful to estimate geographical distributions, and can be used as an indicator for improvement projects for hospitals.
