Background: This study was conducted to investigate the effects of work on medical expenditures by the elderly. Methods: Data pertaining to individuals aged 65 or older collected by the Korean Health Panel 2008-2013 were used. The effects of work on medical expenditures were analyzed in a panel tobit model adjusted for several variables of demographic factors, socioeconomic factors, and health factors for health care. Data were also analyzed based on age groups (65-74, $75{\leq}$), type of work (waged or self-employed), and working time (daytime work or night time work). Results: Among the elderly older than 65 years, 34-37% were workers. Work among the elderly reduced medical expenditures relative to nonworking elderly. Specifically, medical expenditures were lower in individuals older than 75 years, as well as among those who were self-employed insured and had medical aid insurance and those who exercised. However, medical expenditures were higher among females, married individuals, those with a higher household income, and those with a chronic disease. Elderly wageworkers showed reduced medical expenditures than nonworking elderly and elderly daytime workers did. Conclusion: The elderly population's work, especially wage work and daytime work, reduced medical expenditures relative to no work. These results provide valuable information for policymakers by indicating that work was associated with lower medical expenditures than no work. If elderly work is to be encouraged, it is necessary to provide a variety of high-quality wage work.
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 provinces, 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 more 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 tile expenditures can be accounted for by the selected 15 predictors. Those predictors belonged to clinical renditions, such as activity restriction, duration of illness, and nature of conditions, are proved to be the most potent independent variabes. 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.
Objectives: Environmental pollution is a negative consequence of the development process, and many countries are grappling with this phenomenon. As a developing country, Iran is not exempt from this rule, and Iran pays huge expenditures for the consequences of pollution. The aim of this study was to analyze the long- and short-run impact of air pollution, along with other health indicators, on private and public health expenditures. Methods: This study was an applied and developmental study. Autoregressive distributed lag estimating models were used for the period of 1972 to 2014. In order to determine the co-integration between health expenditures and the infant mortality rate, fertility rate, per capita income, and pollution, we used the Wald test in Microfit version 4.1. We then used Eviews version 8 to evaluate the stationarity of the variables and to estimate the long- and short-run relationships. Results: Long-run air pollution had a positive and significant effect on health expenditures, so that a 1.00% increase in the index of carbon dioxide led to an increase of 3.32% and 1.16% in public and private health expenditures, respectively. Air pollution also had a greater impact on health expenditures in the long term than in the short term. Conclusions: The findings of this study indicate that among the factors affecting health expenditures, environmental quality and contaminants played the most important role. Therefore, in order to reduce the financial burden of health expenditures in Iran, it is essential to reduce air pollution by enacting and implementing laws that protect the environment.
It is needed for human-being to get the better healthcare and to be educated well for happiness. In korea, they have had less interest in the healthcare than the education. In this study, the role of taxes was surveyed for the improvement of the healthcare. Many articales on the tax system of the healthcare were investigated. And it was searched also what is the key factors of tax expenditures for the improvement of the healthcare. Through a survey to the staffs of medical services, tax experts, the receiver of medical services and tax officiers, the gap of opinions in each group and the factors of tax expenditures were analysed. The findings of this study are as following: Firstly, For the improvement of the healthcare the acceptability of tax deduction is needed. Secondly, is found that there is a meaningful difference between the staffs of medical services and tax officiers in the acceptability of tax expenditures.
Purpose: This study examined the influencing factors for metabolic syndrome and the annual medical expenditures of metabolic syndrome among public officials. Methods: The National Health Insurance data in 2009 were collected for 364,932 public officials and the heath examination results and annual medical expenditures were analyzed using PASW 18.0 program. Results: The prevalence of metabolic syndrome is 17.6%, and it was higher in male officials than that of females in all age groups. In men, the influencing factors for metabolic syndrome were: age, family history of stroke, cardiovascular disease, hypertension, and diabetes mellitus, smoking, alcohol consumption, exercise, and obesity. However, in women, health-related behaviors such as smoking, alcohol consumption and exercise did not affect metabolic syndrome. People who had metabolic syndrome showed significantly higher medical expenditures than those without metabolic syndrome. The odds ratios of having the highest quartile in medical expenditures were 1.372 (95% CI 1.252~1.504, p<.001) in women with metabolic syndrome and 1.213 (95% CI: 1.184~1.243, p<.001) in men. Conclusion: The results implied that health-related behaviors were associated with metabolic syndrome, and resulted in higher medical expenditures. In order not only to decrease the risk of metabolic syndrome but also reduce medical expenditures, nurses should plan health promotion strategies to educate public officials about healthy life strategies.
This study was conducted to estimate the future government budget in medical expenditures using for the low-income handicapped, because medical expenditures to the low-income handicapped is escalating in these days. It became a big problem not only to the central-government but also to the district-government because they have to subsidize a part of co-payment. This study was designed to project the future government budget using structural model. For the short-term projection, the structural model is stronger than the regression model. The data used for this study were the population projection data based on National Census Data(2000) of the National Statistical Office, the data of Ministry of Health & Welfare, and the data of National Health Insurance Corporation from November 2m to June 2001. The results of the study are summarized as follows: The future government budget in medical expenditures using to the low-income handicapped will be 15-18 billion Won in the year 2003, 16-23 billion Won in 2004, 18-30 billion Won in 2005, 19-38 billion Won in 2006 and 21-49 billion Won in 2007. It is predicted that they would be increasing rapidly. Therefore, the government budget in medical expenditures using for the low-income handicapped must be enlarged.
Purpose: This study was conducted to suggest a method for financial projection of health insurance expenditures that reflects future changes in demographic structure. Methods: Using data associated with the number of patients and health insurance cost per patient, generalized linear models (GLM) were fitted with demographic explanatory variables. Models were constructed separately for individual medical departments, types of medical service, and types of public health insurance. Goodness-of-fit of most of the applied GLM models was quite satisfactory. By combining estimates of frequency and severity from the constructed models and results of the population projection, total annual health insurance expenditures were projected through year 2060. Results: Expenditures for medical departments associated with diseases that are more frequent in elderly peoples are expected to increase steeply, leading to considerable increases in overall health insurance expenditures. The suggested method can contribute to improvement of the accuracy of financial projection. Conclusion: The overall demands for medical service, medical personnel, and relevant facilities in the future are expected to increase as the proportion of elderly people increases. Application of a more reasonable estimation method reflecting changes in demographic structure will help develop health policies relevant to above mentioned resources.
Background: This study aims to analyze the impact of levels of health care coverage on the trajectory of self-rated health, comparing the near-poor which tends to be excluded in traditional health care systems with the upper middle class. Methods: The study participants were 3,687 people who sincerely responded questions regarding health care expenditures, unmet medical needs, and self-rated health in the Korea Health Panel data in 2009-2012. Results: The higher health care expenditures and the presence of unmet medical needs were significantly associated with the lower level of self-rated health. However, both factors did not significantly predict the steeper decline in the self-rated health. The results from multiple group analyses showed that health care expenditures and unmet medical needs had greater impact on the near-poor compared to their higher income counterparts. Conclusion: Public health care coverages need to be enhanced as well as reducing health care expenditures and unmet medical needs.
Sohn, Jungwoo;Cho, Jaelim;Moon, Ki Tae;Suh, Mina;Ha, Kyoung Hwa;Kim, Changsoo;Shin, Dong Chun;Jung, Sang Hyuk
Journal of Preventive Medicine and Public Health
/
v.47
no.6
/
pp.327-335
/
2014
Objectives: Several epidemiological studies on medical care utilization prior to suicide have considered the motivation of suicide, but focused on the influence of physical illnesses. Medical care expenditure in suicide completers with non-illness-related causes has not been investigated. Methods: Suicides motivated by non-illness-related factors were identified using the investigator's note from the National Police Agency, which was then linked to the Health Insurance Review and Assessment data. We investigated the medical care expenditures of cases one year prior to committing suicide and conducted a case-control study using conditional logistic regression analysis after adjusting for age, gender, area of residence, and socioeconomic status. Results: Among the 4515 suicides motivated by non-illness-related causes, medical care expenditures increased in only the last 3 months prior to suicide in the adolescent group. In the younger group, the proportion of total medical expenditure for external injuries was higher than that in the older groups. Conditional logistic regression analysis showed significant associations with being a suicide completer and having a rural residence, low socioeconomic status, and high medical care expenditure. After stratification into the four age groups, a significant positive association with medical care expenditures and being a suicide completer was found in the adolescent and young adult groups, but no significant results were found in the elderly groups for both men and women. Conclusions: Younger adults who committed suicide motivated by non-illness-related causes had a higher proportion of external injuries and more medical care expenditures than their controls did. This reinforces the notion that suicide prevention strategies for young people with suicidal risk factors are needed.
Journal of Korean Academy of Nursing Administration
/
v.17
no.2
/
pp.147-157
/
2011
Purpose: This study was done to investigate factors affecting perceived financial burden of medical expenditures. Method: The participants were 2,024 inpatients who were enrolled in a survey on the benefit coverage rate of the National Health Insurance in 2006. The collected data were analyzed using t-test, ANOVA-test, Mann-Whitney-test, Kruskal-Wallis-test, Chi-square test and logistic regression. Results: The crucial factors for perceived financial burden were age, job, equivalence scale, ratio of annual family income vs medical expenditure, and private health insurance. Perceived financial burden was higher for people who were older, who were unemployed, whose medical expenditures were high compared to annual family income, whose index of family equalization was low and for those who had no private health insurance. Conclusion: The results of the study indicate a demand for system reform that will enable management of no-pay hospital bills in the National Health Insurance to decrease the medical expense of people in the low-income bracket.
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