Objectives : There have been few studies examining the differences in health care utilization across social classes during the last year of life. Therefore, in this study we analyzed the quantitative and qualitative differences in health care utilization among cancer patients across educational classes in their last year of life, and derived from it implications for policy. Methods : To evaluate health care utilization by cancer patients in the last year of life, Death certificate data from 2004 were merged with National Health Insurance data (n=60,088). In order to use educational level as a social class index, we selected the individuals aged 40 and over as study subjects (n=57,484). We analyzed the differences in the medical expenditures, admission days, and rates of admission experience across educational classes descriptively. Multiple regression analysis was conducted to evaluate the association between medical expenditures and independent variables such as sex, age, education class, site of death and type of cancer. Results : The upper educational class spent much more on medical expenditures in the last one year of life, particularly during the last month of life, than the lower educational class did. The ratio of monthly medical expenditures per capita between the college class and no education class was 2.5 in the last 6-12 months of life, but the ratio was 1.6 in the last 1 month. Also, the lower the educational class, the higher the proportion of medical expenditures during the last one month of life, compared to total medical expenditures in the last one year of life. The college educational class had a much higher rate of admission experiences in tertiary hospitals within Seoul than the other education classes did. Conclusions : This study shows that the lower educational classes had qualitative and quantitative disadvantages in utilizing health care services for cancer in the last year of life.
The medical expenses review system in Korea has developed under fee-for-service system with its own unique structure. The importance of reviewing medical expenses has been emphasized, as the size of medical expenditures moving through the health insurance legal context and its weight in the national economy have increased very rapidly. It is, however, analyzed that the feuds and arguments continue among the stakeholders for the lack of laws supporting the medical expenses review system. The medical expenses review is a series of administrative procedures, deciding whether claims from medical care institutions to the insurer are legal and valid or not. It mainly controls the increase of unnecessarily excessive health insurance claim and prevents fraudulent claim and abuse and checks the less use or unsuitable use of medical resources. It also works a function guarantees medical benefits for the appropriate treatment according to the object of health insurance system as a social insurance scheme. The dispute on legal base of the medical expenses review is about the source of law in the medical expenses review. There are the Health Insurance Act and administrative laws as jus scriptum and the guidelines of review as administrative orders. The medical expenses review should reflect various factors, such as the development of medical healthcare technologies, the health expenditures distribution, the financial situation of the health insurance, and the evaluation on the level of appropriate benefits. It is also likely to adapt to the traits of characters of medicine, and trends and transition, Besides it should judge the legality and the validity of medical benefits expenditures by synthesizing these all factors. And the evaluation system of appropriateness of medical benefits was administrative procedure which was consecutive with reviewing the medical expenses system and it was intended to make up for the result of reviewing the medical expenses in more comprehensive levels.
Background: Cancer imposes significant economic challenges for individuals, families, and society. Households of cancer patients often experience income loss due to change in job status and/or excessive medical expenses. Thus, we examined whether changes in economic status for such households is affected by catastrophic health expenditures. Materials and Methods: We used the Korea Health Panel Survey (KHPS) Panel $1^{st}-4^{th}$ (2008-2011 subjects) data and extracted records from 211 out of 5,332 households in the database for this study. To identify factors associated with catastrophic health expenditures and, in particular, to examine the relationship between change in economic status and catastrophic health expenditures, we conducted a generalized linear model analysis. Results: Among 211 households with cancer patients, 84 (39.8%) experienced catastrophic health expenditures, while 127 (40.2%) did not show evidence of catastrophic medical costs. If a change in economic status results from a change in job status for head of household (job loss), these households are more likely to incur catastrophic health expenditure than households who have not experienced a change in job status (odds ratios (ORs)=2.17, 2.63, respectively). A comparison between households with a newly-diagnosed patient versus households with patients having lived with cancer for one or two years, showed the longer patients had cancer, the more likely their households incurred catastrophic medical costs (OR=1.78, 1.36, respectively). Conclusions: Change in economic status of households in which the cancer patient was the head of household was associated with a greater likelihood that the household would incur catastrophic health costs. It is imperative that the Korean government connect health and labor policies in order to develop economic programs to assist households with cancer patients.
This study investigates to investigate the ageing effect on household demand for clothing, food, housing and medical care commodities in Korea using a demand system model. The cross-sectional and time-series data from Statistics Korea on urban household expenditures and age projection analyzed household demands of consumption commodities. The household head age and elderly population ratio were employed for proxy variables of ageing. Ageing variable elasticities of commodity demands were estimated. Study results show that ageing variables significantly influenced on a household demand for commodities; clothing and food consumption decreases; however, housing and medical care consumption increases with ageing. The elasticities of total consumption expenditures and price variables were estimated in the demand analysis; these two variables significantly impacted almost all of the household consumption for the studied commodities. This study provides an opportunity to examine how ageing influences household consumption for clothing, food, housing and medical care commodities as Korean society experiences a rapid ageing. It is also meaningful that this study conducted a quantitative measuring of the household demands for commodities that was different from past research on the household consumption expenditures for commodities.
This study aimed to quantify antibiotic consumption and expenditures for acute upper respiratory tract infections (URIs) (J00-J06) in outpatients from 2009 to 2011. We used WHO ATC classification and DDDs in measuring antibiotic consumption. National Health Insurance and Medical Aid claims data were analyzed. Antibiotic consumption has decreased from 4.44 DDD/1,000inhabitants/day in 2009, to 4.43 in 2010 and 3.74 in 2011. The estimated expenditures were 8,206 won/1,000inhabitants/day in 2009, 8,379 in 2010, and 7,004 in 2011. Clinics accounted for 89.8% and 86.0% of antibiotic consumption and expenditures respectively for the acute URIs in 2011. We need to monitor antibiotic consumption consistently, and promote judicious antibiotic use.
Background: The purpose of this study was to analyze the medical expense change and influencing factors after introducing longterm care insurance system. The study period was 2 years before and after introduction of the system. Methods: We analyzed data collected from two divided group lived in Incheon. Four hundred and eighty-five elderly who received long-term care wage for one year were selected for experimental group. For control group, 1,940 elderly were selected by gender and age stratified random sampling. Difference-In-difference analyses was used for evaluating policy effectiveness. Also multiple regression analyses were conducted to identify the factors associated with total medical expenditures. The control variables were demographic variables, economic status, diseases, and medical examination variables. Results: Difference-in-difference analyses showed that total average medical expenses among long-term patients has decreased by 61.85%. Of these, the hospitalization expenses have decreased by 91.63% and the drug expenses have increased by 31.85%. Multiple regression analyses results showed that total average medical expenses among long-term patients have significantly decreased by 46.5% after introducing the long-term care insurance. The hospitalization expenses have significantly decreased by 148.5%, whereas the drug expenses have increased by 53.6%. And outpatient expenses have increased by 10.4%, but the differences were not statistically significant. Conclusion: The results showed that total medical expenses and hospitalization expenses have decreased after introducing the long-term care insurance. These results could support the opinion that the health insurance spending among long-term patients will be reduced gradually by long-term care insurance through changing medical demand.
Kwon, Seong Hee;Han, Kyu-Tae;Park, Sohee;Moon, Ki Tae;Park, Eun-Cheol
Health Policy and Management
/
v.27
no.3
/
pp.247-255
/
2017
Background: South Korea has experienced problems with excessive pharmaceutical expenditures. In 2010, the South Korean government introduced an outpatient prescription incentive program to effectively manage pharmaceutical expenditures. Therefore, we examined the relationship between the outpatient prescription incentive program and pharmaceutical expenditures. Methods: We used data from the Korean National Health Insurance claims database, which included medical claims filed for 22,732 clinics from 2011-2014 to evaluate associated pharmaceutical expenditures. We performed multiple regression analysis and Poisson regression analysis using generalized estimating equation models to examine the associations between outpatient prescription incentives and the outcome variables. Results: The data used in this study consisted of 123,392 cases from 22,372 clinics (average 5.4 periods follow-up). Clinics that had received outpatient prescription incentives in the last period had better cost saving and Outpatient Prescribing Costliness Index (OPCI) (received: proportion of cost saving, ${\beta}=6.8179$; p-value < 0.0001; OPCI, ${\beta}=-0.0227$; p-value < 0.0001; reference = non-received). Moreover, these clinics had higher risk in the provision of outpatient prescription incentive (relative risk, 2.772; 95% confidence interval, 2.720 to 2.824). The associations were higher in clinics that had separate prescribing and dispensing programs, or had professional staff. Conclusion: The introduction of an outpatient prescription incentive program for clinics effectively managed problems with rapid increases of pharmaceutical expenditures in South Korea. However, the pharmaceutical expenditures still increased in spite of the positive impact of the outpatient prescription incentive program. Therefore, healthcare professionals and health policy makers should develop more effective alternatives (i.e., for clinics without separate prescribing and dispensing programs) based on our results.
Objectives : This paper analysed the alternative methods of calculating conversion factor for oriental medicine in the National Health Insurance and estimated the conversion factor(reimbursing price level) of the oriental medical services, based on health insurance claims data and macro economic data. Methods : Comparing cost accounting method, SGR model, and index model to estimate conversion factor in the national health insurance, six empirical models were derived depending on the scope of revenue considered in financial indicators. Classifications of data and sources used in the analysis were identified as officially released by the government. Results and Conclusion : Cost accounting analysis and SGR model showed a two digit decrease in the physician fee schedule of oriental medical services in the national health insurance, while index model indicated a positive increase in the fee reimbursed. As expected, SGR model measured an overall trend of health expenditures rather than an individual financial status of medical institutions, and index model properly estimated the level of payments to oriental medical doctors. Upon a declining share of health expenditures on oriental medicine, a global budget system fixed to a flat rate of total budget could be an opportunity as well as a challenge.
Objectives: Equity in financial protection against healthcare expenditures is one the primary functions of health systems worldwide. This study aimed to quantify socioeconomic inequality in facing catastrophic healthcare expenditures (CHE) and to identify the main factors contributing to socioeconomic inequality in CHE in Iran. Methods: A total of 37 860 households were drawn from the Households Income and Expenditure Survey, conducted by the Statistical Center of Iran in 2017. The prevalence of CHE was measured using a cut-off of spending at least 40% of the capacity to pay on healthcare services. The concentration curve and concentration index (C) were used to illustrate and measure the extent of socioeconomic inequality in CHE among Iranian households. The C was decomposed to identify the main factors explaining the observed socioeconomic inequality in CHE in Iran. Results: The prevalence of CHE among Iranian households in 2017 was 5.26% (95% confidence interval [CI], 5.04 to 5.49). The value of C was -0.17 (95% CI, -0.19 to -0.13), suggesting that CHE was mainly concentrated among socioeconomically disadvantaged households in Iran. The decomposition analysis highlighted the household wealth index as explaining 71.7% of the concentration of CHE among the poor in Iran. Conclusions: This study revealed that CHE is disproportionately concentrated among poor households in Iran. Health policies to reduce socioeconomic inequality in facing CHE in Iran should focus on socioeconomically disadvantaged households.
Expenditures on pharmaceuticals of different concepts were estimated and their functional, financing and providers' breakdowns were examined in line with the OECD's System of Health Accounts (SHA) manual. This study also shows the way such estimates are made. The results are then analyzed particularly from the international perspective. Data from both Household Survey by the National Statistical Office and the National Health and Nutritional Survey by the Ministry of Health and Welfare of Korea were used to estimate pharmaceutical expenditures that. are financed by out-of-pocket payments of the household, while national health insurance data etc. were used for estimation of pharmaceutical expenditures that are financed by public funding sources. The 'per capita expenditure on pharmaceutical/medical non-durables' in Korea stood at 380 US$ PPPs, less than the OECD average of 443 US$ PPPs in 2006, but its share of the per capita health expenditure of 25.9% noticeably outnumbered the OECD average of 17.1%, due partly to low per capita health expenditure as a denominator of the ratio. This indicates that Koreans tend to spend less on health care than an OECD average, while tending to spend more on pharmaceuticals than on other health care services, much like the pattern found in relatively low income countries. An international pharmaceuticals pricing mechanism is most likely responsible for such a tendency. In addition, it is to be noted that the percentage comes down to 21.0%, when expenditures on both medical non-durables and herbal medicine, which is locally quite popular among the elderly, have been excluded.
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