The purpose of this research is to determine elements affecting the out-of-pocket cost of woman. The sample consisted of 1907 women living Iksan city. The survey was conducted by means of questionnaires. The model used in the analysis of out-of-pocket cost was the Andersen-Newman model, while the analysis techniques used were stepwise multiple regression and path analysis. The number of independent variables used in the analysis was 28 in total, ie 19 predisposing components, 6 enabling components, and 3 need components. In this study, the amount of variance by the model was 17 percent. Number of restricted activity days caused by oral disease, perceived susceptibility of dental disease, having a regular dental care, dental treatment costs, education level and income were found to have significant major effects on out-of-pocket cost. Number of restricted activity days caused by oral disease was the most important variable affecting out-of-pocket cost of woman. Also out-of-pocket cost shows larger effect due to enabling components than frequency of dental utilization.
This study is to investigate patient's choice of health care and the demand for Korean traditional medicine care in rural areas in 1995. It tried to evaluate the effect of out-of-pocket expenditure, travel time, and waiting time on improving care-seeking and substituting clinical medicine for pharmacy care and Korean traditional medicine care in rural areas. The statistical model of this study is conditional logit to estimate effects of choice-specific and individual-specific characteristics on the choice of type of services. This study used, as explanatory variables, average out-of-pocket payment, travel time, and waiting time of services required to use the services. The model was empirically tested using data from 1995 Korean National Health Survery. The results showed that rural Koreans responded to out-of pocket payment and travel time. Increases of out-of-pocket payment and travel time decreased the probability to choose care in rural Korea. Rural Koreans were more likely to seek care than others with low out-of-pocket payment and travel time. The probability of choosing Korean traditional medicine were higher among the members of the households with higher education level and older persons, while they were lower in the households with large family than others compared with the probabilities of choosing public health facilities. The result of this study implies that policy on use of health care in rural Korea can be focused in managing travel time and out-of-pocket payment.
This study was performed to investigate out-of-pocket money among medical expenses of an oriental medical university hospital by the use of internal data of an oriental hospital because medical insurance program data could not show us insuree's out-of-pocket money among medical expenses. The purpose of this study was to analyze out-of-pocket money among medical expenses of ambulatory and hospitalized patients. Under this purpose, We analyzed actual medical expenses data of 1389 out-patients and 858 in-patients of the oriental medical university hospital with 90 beds that could be approach to internal data from July 1, 1998 to March 31, 1999. The major findings are as follows : 1. In ambulatory patients, the cost share ratio of insuree & that of insurer was 90 : 10 respectly. 2. In hospitalized patients, the cost share ratio of insuree & that of insurer was 72 : 28 respectly.
Background : The introduction of policies expanding the coverage of uninsured Korean Medicine (KM) services have requires an understanding of the following components of the service : current financial expenses, degree of financial burden on the patient, and financial effect of the coverage expansion. Objectives : This study aims to determine the annual trend of outpatients' characteristics and the category of out-of-pocket spending in KM. Methods : This study uses data from the Korea Health Panel to analyze use of KM in the Korean population. Using the user characteristics and behavior drawn from the Korea Health Panel data, out-of-pocket spending trends of KM were analyzed by year. The diagnosis and prescription of out-of-pocket spending were also analyzed. Results : The proportion of patients receiving uninsured medical treatment and the number of uninsured medical treatment in outpatient clinics have increased. However, the average out-of-pocket spending per person and out-of-pocket spending per visit are consistent or have decreased. Meaningful trends are the increase of R00-R99 (unclassified symptoms) and the decrease of K00-K93 (digestive system disease) and J00-J99 (respiratory system disease). Conclusions : Expansion of KM medical service and insurance is influenced by uninsured medical treatment of KM. Hence, research to increase medical treatment categories for out-of-pocket spending or explore diseases where KM diagnosis has been proven effective should be further developed.
Background: The purpose of this study is to investigate family caregivers' opinions about out-of-pocket payment for long-term care (LTC) facilities, and find the differences in the opinions for family caregivers of all different levels of income. Methods: We used the data of the study on out-of-pocket payment in national long-term care insurance, including 1,552 family caregivers with the elderly in long-term care facilities. Results: The average out-of-pocket payment per month was 511,635 Korean won and distributed from 230,750 to 1,365,570 Korean won. The amount of out-of-pocket payment might be affected by not co-payment but the cost of non-covered service. There were differences in them for family caregivers of all different levels of income. Opinions were surveyed about 5 issues. By levels of income, there were differences in their opinions about 3 issues, the financial burden on LTC, the necessity of reducing out-of-pocket payments, and to be willing to pay more for a high quality service. But there were not different opinions about the interruption of LTC service and staying with LTC facilities. Conclusion: These findings suggest that the range of out-of-pocket payment for LTC facility is wide and it can be a burden to lower income group. It should be to prepare the policies to ease the financial burden and support the appropriate LTC use.
Purposes : In February 2014, the government said that the National Health Insurance Service (NHIS) will enforce plan for reducing the financial burden from two major non-covered services including physician surcharges and private room charges, the main causes to increase uninsured, by 2017. The purpose of this study is to analyze the policy effect that performed so far by comparing out-of-pocket payment rates of policy process Methodology: This study analyzed admission medical expenses that occurred from January 2013 to March 2016 at a upper grade general hospitals in Daejeon. Number of study subjects were 134,924 and the data were analyzed with SPSS 22.0 program by using frequency, percentage, mean, standard deviation, ANOVA. The effect of two major non-payment improvement plan on out-of-pocket rates was ascertained via generalized estimating equation. Findings: Out-of-pocket payment rates was statistically significantly declined 2.7 percent than enforcement ago. Also, out-of-pocket payment, physician surcharge, the proportion of out-of-pocket payment of hospital room charge to out-of-pocket payment was statistically significantly declined. However, a further analysis of the cause of the decline in total medical costs is needed. Practical Implications: Physician surcharges and private room charges improvement policy had a positive effect on the decline of out-of-pocket payment rate. The policy of physician surcharges was very effective after the first policy enforcement but it was less effective to medical aids and near poor that was a more greater coverage than national health insurance. Since the policy has not been finalized, we have to continue a research for the successful implementation of the policy.
You, Chang Hoon;Kang, Sungwook;Kwon, Young Dae;Choi, Ji Heon
Asian Pacific Journal of Cancer Prevention
/
제14권11호
/
pp.6985-6989
/
2013
Background: This study aimed to examine out-of-pocket expenditure for cancer treatments of hospitalized patients and to analyze changing patterns over time. Materials and Methods: This study examined data of all cancer patients receiving inpatient care from two tertiary hospitals from January 2003 to December 2010. Medical expenditures per admission were calculated and classified into those covered and uncovered by the Korean National Health Insurance (NHI) and co-payment. Results: The medical expenditure per admission increased slowly from 3,455 thousand Korean won (KRW) to 4,068 thousand KRW. While expenditures covered by the NHI have increased annually, co-payments have generally decreased. The out-of-pocket expenditure ratio, which means the proportion of uncovered expenditure and co-payment among total medical expenditure dropped sharply from 2005 to 2007 and was maintained at a similar level after 2007. Medical expenditures, NHI coverage, and the out-of-pocket expenditure ratio differed across cancer types. Conclusions: It is necessary to continually monitor the expenditure of uncovered services by the NHI, and to provide policies to reduce this economic burden. In addition, an individual approach considering cancer type-specific characteristics and medical utilization should be provided.
Background: There have been few studies about pain using a big data. The purpose of this study was to identify the prevalence of pain, and trends of pain associated with chronic diseases and personal out-of-pocket medical expenditures over time. Methods: Subjects were 58,151 individuals, using the Korea Health Panel from 2009 to 2013. Chi-square and multinomial logistic regression were conducted to identify the prevalence and odds ratios (ORs) of pain. Repeated measures ANOVA was used to find the trend over these 5 years. Results: Prevalence of mild and severe pain was 28.1% and 1.7% respectively. The ORs of mild and severe pain were 1.6 and 1.4 in females compared with males. From 2009 to 2013, numbers of chronic diseases producing mild pain were 2.1, 2.4, 2.8, 2.9, and 3.1 and those producing severe pain were 3.0, 3.4, 3.9, 4.2, and 4.4, respectively. After applying the average South Korean inflation rate by year over 5 years, the annual, personal out-of-pocket medical expenditures (unit: ₩1,000) for mild pain were 322, 349, 379, 420, and 461, and those for severe pain were 331, 399, 504, 546, and 569, respectively (P < 0.0001). Conclusions: The pain prevalence was 29.8%. The numbers of chronic diseases and the personal out-of-pocket medical expenditures revealed increasing trends annually, especially in those with pain. Therefore, to eliminate and alleviate the pain, there needs to be further study for developing a systemic approach.
Background: The out-of-pocket maximum is one of the distinctive healthcare systems which sets a ceiling on co-payment in order to reduce the burden of households from the unpredictable medical expenditure. However, this leads to an increase in the demand for healthcare services especially in long-term care hospitals (LTCHs) in Korea. Methods: This study analyzed the influence factor of medical service overuse of 165,592 inpatients in LTCHs which out-of-pocket maximum is applied, by utilizing data from the National Health Insurance Service (2016). Based on Anderson Model, the medical service overuse, as a dependent variable, was defined as long-stay admission more than 180 days at the LTCHs. Independent variable was comprised of predisposing factors (gender, age), enabling factors (income level, types of out-of-pocket maximum) and need factors (illness level, patient use of tertiary hospital). Results: The most powerful factor of medical service overuse in LTCHs was availability of pre-payment for the out-of-maximum (odds ratio [OR], 191.66; p<0.001). This tendency was found in high income level status (p<0.001). Furthermore, mild inpatients (OR, 1.50; p<0.001) which had no experience with the tertiary hospitals (OR, 2.06; p<0.001) were more relevant to the medical service overuse in LTCHs, compared to the severe inpatients. Conclusion: It is suggested that a separate standard of out-of pocket maximum with regards to LTCHs is required to secure the beneficial functions of long-term hospitals and prevent unnecessary financial leakage to achieve sustainable and financially sound National Health Insurance.
Objectives : The purpose of this study was to determine the impact of the sociodemographic and health characteristics on the out-of-pocket health spending of the individuals aged 20 and older in Korea. Methods : We used the data from the 2001 National Public Health and Nutrition Survey. The final sample size was 26,154 persons. Multiple linear regression models were used according to the age groups, that is, one model was used for those people under the age of sixty-five and the other was used for those people aged sixty-five and older. In these analyses, the expenditures were transformed to a logarithmic scale to reduce the skewness of the results. Results : Out-of-pocket health expenditures for those people under the age of 65 averaged 14,800 won per month, whereas expenditures for those people aged 65 and older averaged 27,200 won per month. In the regression analysis, the insurance type, resident area, self-reported health status, acute or chronic condition and bed-disability days were the statistically significant determinants for both age groups. Gender and age were statistically significant determinants only for the non-elderly. Conclusions : The findings from this study show that the mean out-of-pocket health expenditures varied according to the age groups and also several diverse characteristics. Thus, policymakers should consider the out-of-pocket health expenditure differential between the elderly and non-elderly persons. Improvement of the insurance coverage for the economically vulnerable subgroups that were identified in this study should be carefully considered. In addition, it is necessary to assess the impact of out-of-pocket spending on the peoples' health care utilization.
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