[Geographic distribution of medical supplies and the numbers of hospital inpatients in the secondary medical areas in Japan].
A secondary medical area is defined as a medical administrative area under the Medical Care Law by which every prefectural government is expected to provide general medical care supplies such as beds for inpatients. This study evaluated the distribution in medical supplies among the secondary medical areas in Japan and the correlation between medical supply and demand. The numbers of hospital inpatients (residence of patients), physicians, and general beds excluding those for mental disorders and tuberculosis were analysed in relation to the population in all secondary medical areas in Japan. Those data were obtained from surveys conducted by the Ministry of Health and Welfare. The main results were as follows; 1) The distribution of physicians and general hospital beds among the secondary medical areas was not equal. 2) Even adjusted for the sex and age distribution, the highest hospital inpatients/population ratio among the secondary medical areas was four times as large as that of the lowest. 3) With multiple regression models, two independent variables (normal hospital beds/population ratio and aged 65 and over/total population ratio) accounted about 60% of the variance in hospital inpatients/population ratio. 4) The differences in medical supplies among the secondary medical areas may cause the differences in hospital inpatients/population ratio.
Tanihara
S
S
Department of Public Health, Jichi Medical School.
Zhang
T
T
Ojima
T
T
Nakamura
Y
Y
Yanagawa
H
H
Kobayashi
M
M
D000367:Age Factors; D000368:Aged; D005260:Female; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006742:Hospital Bed Capacity / Q000706:statistics & numerical data; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data*; D007564:Japan; D008297:Male; D010342:Patient Acceptance of Health Care; D010820:Physicians / Q000706:statistics & numerical data; D011153:Population; D012044:Regression Analysis; D012737:Sex Factors