Kim, Sun Jung;Han, Kyu-Tae;Park, Eun-Cheol;Park, Sohee;Kim, Tae Hyun
Asian Pacific Journal of Cancer Prevention
/
v.15
no.13
/
pp.5265-5270
/
2014
Background: In Korea, the National Health Insurance program has initiated various copayment policies over a decade in order to alleviate patient financial burden. This study investigated healthcare spending and utilization in the last 12 months of life among patients who died with lung cancer by various copayment policy windows. Materials and Methods: We performed a retrospective cohort study using nationwide lung cancer health insurance claims data from 2002 to 2012. We used descriptive and multivariate methods to compare spending measured by total costs, payer costs, copayments, and utilization (measured by length of stay or outpatient days). Using 1,4417,380 individual health insurance claims (inpatients: 673,122, outpatients: 744,258), we obtained aggregated healthcare spending and utilization of 155,273 individual patient (131,494 inpatient and 103,855 outpatient) records. Results: National spending and utilization is growing, with a significant portion of inpatient healthcare spending and utilization occurring during the end-of-life period. Specifically, inpatients were more likely to have more spending and utilization as they got close to death. As coverage expanded, copayments decreased, but overall costs increased due to increased utilization. The trends were the same in both inpatient and outpatient services. Multivariate analysis confirmed the associations. Conclusions: We found evidence of the higher end of life healthcare spending and utilizations in lung cancer patients occurring as coverage expanded. The practice pattern within a hospital might be influenced by coverage policies. Health policy makers should consider initiating various health policies since these influence the long-term outcomes of service performance and overall healthcare spending and utilization.
Journal of Korean Academy of Nursing Administration
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v.5
no.1
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pp.99-111
/
1999
The purpose of this study was to investigate the relationship between public health nurse's decentralization, participation of decision-making and organizational commitment and to provide basic data for the improvement of public health nurse's organizational effectiveness. Data were collected from Aug. 1 to Aug. 30, 1998 (collection rate-96%) through questionnaires by 163 public health nurses working in Taejon and Chungnam. The instruments were used Van de Ven and Ferry's Job Authority scale, Hage and Aiken's Hierarchy of Authority scale. Participation of Decision-making scale. and Mowday's Organizational Commitment Questionnaires. Collected data were analyzed by SPSS PC+. The results were as follows 1. There were significant differences of age(P<.05), career, spending time for major study, and experience who called expert(P<.01) to decentralization. 2. There were significant differences of career (P<.05), educational level, and spending time for major study(P<'OOl) to participation of decision-making. 3. There were significant differences of career. spending time for D1ajor study, self-evaluation to specialty(P<.01) and experience who called expert (P<.001) to organizational commitment. 4. 1) A significant correlation was found between decentralization and self-evaluation to specialty (P<.05), age, career, spending time for major study, and experience who called expert (P<.01.). 2) A significant correlation was found between participation of decision-making and self-eval-uation to specialty(P<.05), age, career, spending time for major study, experience to call expert, and decentralization (P<.01). 3) A significant correlation was found between organizational commitment and age(P<.05). career. spending time for major study, self-eval-uation to specialty, experience who called expert. decentralization, and participation of decision-making (P<.01). 5. Decentralization w·as the best predictor of or ganizational commitment(17%), also experience who called expert, self-evaluation to specialty explained the organizational commitment.
Nearly all Koreans are insured through National Health Insurance(NHI). While NHI coverage is nearly universal, it is not complete. Coverage is largely limited to minimal level of hospital and physician expenses, and copayments are required in each case. As a result, Korea's public insurance system covers roughly 50% of overall individual health expenditures, and the remaining 50% consists of copayments for basic services, spending on services that are either not covered or poorly covered by the public system. In response to these gaps in the public system, 64% of the Korean population has supplemental private health insurance. Expansion of private health insurance raises negative externality issue. Like public financing schemes in other countries, the Korean system imposes cost-sharing on patients as a strategy for controlling utilization. Because most insurance policies reimburse patients for their out-of-pocket payments, supplemental insurance is likely to negate the impact of the policy, raising both total and public sector health spending. So far, most empirical analysis of supplemental health insurance to date has focused on the US Medigap programme. It is found that those with supplements apparently consume more health care. Two reasons for higher health care consumption by those with supplements suggest themselves. One is the moral hazard effect: by eliminating copayments and deductibles, supplements reduce the marginal price of care and induce additional consumption. The other explanation is that supplements are purchased by those who anticipate high health expenditures - adverse effect. The main issue addressed has been the separation of the moral hazard effect from the adverse selection one. The general conclusion is that the evidence on adverse selection based on observable variables is mixed. This article investigates the extent to which private supplementary insurance affect use of health care services by public health insurance enrollees, using Korean administrative data and private supplements related data collected through all relevant private insurance companies. I applied a multivariate two-part model to analyze the effects of various types of supplements on the likelihood and level of public health insurance spending and estimated marginal effects of supplements. Separate models were estimated for inpatients and outpatients in public insurance spending. The first part of the model estimated the likelihood of positive spending using probit regression, and the second part estimated the log of spending for those with positive spending. Use of a detailed information of individuals' public health insurance from administration data and of private insurance status from insurance companies made it possible to control for health status, the types of supplemental insurance owned by theses individuals, and other factors that explain spending variations across supplemental insurance categories in isolating the effects of supplemental insurance. Data from 2004 to 2006 were used, and this study found that private insurance increased the probability of a physician visit by less than 1 percent and a hospital admission by about 1 percent. However, supplemental insurance was not found to be associated with a bigger health care service utilization. Two-part models of health care utilization and expenditures showed that those without supplemental insurance had higher inpatient and outpatient expenditures than those with supplements, even after controlling for observable differences.
Public expenditures on long-term care are a matter of concern for Korea as in many other countries. The expenditure is expected to accelerate and to put pressure on public budgets, adding to that arising from insufficient retirement schemes and other forms of social spending. This study tried to foresee how much health care spending could increase in the future considering demographic and non-demographic factors as the drivers of expenditure. Previous projections of future long-term expenditure were mainly based on a given relation between spending and age structure. However, although demographic factors will surely put upward pressure on long-term care costs, other non-demographic factors, such as labor cost increase and availability of informal care, should be taken into account as well. Also, the possibility of dynamic link between health status and longevity gains needs to be considered. The model in this study is cell-base and consists of three main parts. The first part estimated the numbers of elderly people with different levels of health status by age group, gender, household type. The second part estimated the levels of long-term care services required, by attaching a probability of receiving long-term care services to each cell using from the sample from current year. The third part of the model estimated long-term care expenditure, along the demographic and non-demographic factors' change in various scenarios. Public spending on long-term care could rise from the current level of 0.2~0.3% of GDP to around 0.44~2.30% by 2040.
This study investigated changes and determinants of public pension generosity and pension spending in welfare states during the last retrenchment period. Path-dependency thesis, industrialization theory and power resources model were examined with the twelve welfare states from 1980 to 2007. The main results are as follows. First, the developments of benefit generosity and pension spending have been differently presented according to pension structure. Second, the cross-national pooled-time series analysis confirmed that pension structure is the most significant factors to determine the level of benefit generosity and pension spending. Third, the positive effect of population ageing on pension spendings were proved even without any changes of pension generosity. New social risks, however, have restrained the pension spending. Fourth, the power of the left party and labor union did not affect the pension policy, which implies that power resources theory cannot explain the development of pension policy in this retrenchment period.
Objectives: This study examined differences in health care spending and characteristics among older adults in Korea by high-cost status (persistently, transiently, and never high-cost). Methods: We identified 1 364 119 older adults using data from the Korean National Insurance Claims Database for 2017-2019. Outcomes included average annual total health care spending and high-cost status for 2017-2019. Linear regression was used to estimate differences in the outcomes while adjusting for individual-level characteristics. Results: Persistently and transiently high-cost older adults had higher health care spending than never high-cost older adults, but the difference in health care spending was greater among persistently high-cost older adults than among transiently high-cost older adults (US$20 437 vs. 5486). Despite demographic and socioeconomic differences between transiently high-cost and never high-cost older adults, the presence of comorbid conditions remained the most significant factor. However, there were no or small differences in the prevalence of comorbid conditions between persistently high-cost and transiently high-cost older adults. Rather, notable differences were observed in socioeconomic status, including disability and receipt of Medical Aid. Conclusions: Medical risk factors contribute to high health care spending to some extent, but social risk factors may be a source of persistent high-cost status among older adults in Korea.
Limited coverage for health care services of National Health Insurance(NHI) in Korea has been ongoing policy issue but additional NHI financing through raising contribution or taxes in order to improve coverage faces substantial obstacles. Private health insurance(PHI) is often considered as an alternative financing source to improve coverage. Recent reform that attempted to stretch the role of PHI allowed life insurance companies to provide complementary PHI, indemnity plan which will pay for uncovered services by NHI and out-of-pocket spending for covered services. Although complementary PHI may relieve financial burden of patients, it may significantly raise NHI spending as well as total health expenditure since little out-of-pocket spending may increase utilization of health care. So far, there has not been enough discussion about concerns of potential adverse effect resulting from extended role of PHI. This study investigated potential increase of NHI spending followed by extension of complementary PHI through sensitivity analysis. The amount of NHI spending for services that would be covered by complementary PHI was calculated using 2005 NHI statistics and expected complementary PHI enrollment rate by age and sex. Expected utilization increases were obtained based on price elasticities$(-0.2{\sim}-0.5)$ from previous studies and expected coverage rate$(50{\sim}80%)$ of complementary PHI and then converted to monetary figures. Because coverage rate of complementary PHI has not been determined yet, we employed the sensitivity analysis using coverage rate of $50{\sim}80%$. Findings demonstrate that additional spending for health care services is expected to be $426{\sim}1,702$ billion won, corresponding amount payed by NHI $298{\sim}1,192$ billion won. In conclusion, since complementary PHI may raise NHI spending significantly, there should be an agreement whether this additional cost would be accountable and acceptable in our society. Potential inefficiency resulting from extended role of complementary PHI should be considered since public and private financing do not operate in isolation and there should be more discussion on proper role of PHI in Korea.
Objectives : This study compared the influencing factors on life satisfaction after retirement between public pension and specific corporate pension recipients. Methods : This study used the fifth year data of 2013 from the raw data of the Korean Retirement and Income Study collected by the National Pension Research Institute. The data analysis in this study was done with the chi-square test, t-test, and linear regression using SPSS ver. 22.0 to verify the relevance between the general characteristics of pension recipients. Results : This study shows that there was a difference in expenditures and health care costs between public pension and special corporate pension recipients. The influencing factors on life satisfaction for public pension recipients were the level of spending, whether there were limitations in daily life and social activity, whether recipients had financial assets and health care costs while for specific corporate pension recipients, they were education level, level of spending and chronic diseases. Conclusions : A health policy that maximizes life satisfaction and takes into account the type of pencion needs to be considered and implemented.
Background: Korea National Health Insurance Service (NHIS) is operated as a social insurance system in which people pay a portion of their monthly income as insurance premiums and receive benefits when they experience illness or injury. Since 2005, the national health insurance remained surplus accumulating cumulative reserves each year. However, as of 2018, NHIS revenue recorded 62.11 trillion won and spending of 62.29 trillion won. The deterioration of NHIS finances is expected to accelerate with the aging population, income growth, new medical technology development, and enhanced security policies. Methods: To examine the financial health and sustainability of NHIS, we estimated the future revenue and spending until 2030 using the data from Korea Health Insurance Review and Assessment Service statistical yearbook. 2004-2018 average percentage change in NHIS revenue and spending was calculated. We estimated the future NHIS financial status using two methods. In the first method, we calculated the revenue and spending of the future NHIS by applying the 2004-2018 average percentage change to the subsequent years consecutively. In the second method, we estimated the future NHIS financial status after adjusting for the predicted demographic changes such as the aging population and declining birth rate in South Korea. Results: The estimates from this study suggest that the NHIS's cumulative reserves will run out by 2024. Conclusion: In terms of spending on current health insurance, there should be a search for ways of more efficient spending and funding options.
The purpose of this study is to analyse the change of consumption structure of households due to spending on private tutoring, then analyse the difference of change depending on income bracket. The results of the study show that the proportion of private tutoring spending of poor households is relatively higher than high or middle income households although the amount is smaller than them. The consumption items adjusted by the change of private tutoring spending are different depending on income level, and adjustment possibility of them of poor households is very lower than other classes. These show their risk of insufficient consumption of food, clothing, and shelter is high. The burden of private tutoring spending of the poor increase the economic insecurity, therefore various supportive approaches such as improvement of the quality of public education, economic support the poor suffering from the burden of private tutoring spending are necessary to prevent the latent problems of the poor and their children.
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