Medical Care Expenditure and Its Determinants in Rural Areas.
- Author:
Hae Sun MOON
- Publication Type:Original Article
- MeSH:
Education;
Family Characteristics;
Female;
Firearms;
Health Expenditures*;
Humans;
Jeju-do;
Korea;
Male;
Sample Size
- From:Korean Journal of Preventive Medicine
1976;9(1):31-38
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
This study was conducted for the purpose of obtaining basic information on the patterns of medical care expenditures, and identifying some determinants of medical care expenditures in the rural Korea. Nine guns were chosen from the eight porvinces, excluding Cheju island. One gun in each province and two villages were selected from the each myon or ub within the selected guns. The total number of households was 1,789 and the sample size was 9,826 non-institutionalized people. Followings are the major findings of the study. 1) Medical care expenditures increase proportionally with age in terms of cost per patient, per episode of illness, per treated case, and per person. Averagely, it cost 2,756 won per patient, 2,614 won per spell of illness, 4,361 won per treated case, and 413 won per person. 2) Medical care expenditures increase proportionally with educational level of patients. College graduates spent the most, 4,726 won per patient, 5,987 won per treated case, and 670 won per person. 3) The male spent a little more than the female in terms of per patient, per episode, and per person. For example, a male spent 23 won more than a female. 4) Those who were suffering from illnesses longer than 1 year spent three times mort than that had illnesses of less than 1 year duration. 5) The simple correlation coefficient between activity restriction and medical care expenditures was the highest among others, 0.491. The next was 0.294 between duration of illness and medical care expenditures. 6) Attempts are made to identify the explanatory variables in medical care expenditures. Thirty one per cent of the variances in the expenditures can be accounted for by the selected 15 predictors. Those predictors belonged to clinical conditions, such as activity restriction, duration of illness, and nature of conditions, are proved to be the most potent independent variables. Level of education and monthly family income are also significant in terms of beta coefficient. Further studies are called for to unreveal the determinants of medical expenditures.
