• Health Policy and Management
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• v.24 no.4
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• pp.349-356
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• 2014

Background: This study aimed to explore factors associated with the non-use of beneficiaries of long-term care insurance services for the elderly in Jeollanam-do Province by analyzing a dataset obtained from National Health Insurance Service. Methods: The study sample consists of 1,663 individuals who were evaluated as eligible for long-term care insurance services in Jeollanam-do Province during the period of July 1, 2008 through June 30, 2009. As a dependent variable, the non-use of the service was defined as one when a beneficiary had used it once or more times during one year after he or she was evaluated as eligible and as zero otherwise. A proportion analysis was conducted to describe characteristics of study sample. Chi-square tests were used to compare general characteristics between beneficiaries who had used the services and those who had not used them. Multiple logistic regressions were performed by three models including additional sets of explanatory variables such as socio-demographic characteristics, health conditions, and economic status. Results: Main results are summarized as follows. The proportion of beneficiaries who had not used the service was 14.5% of all beneficiaries. According to the results from the model using all explanatory variables, the factors associated with the non-use of the services were residence location, dwelling place, type of desired service, level of care needs, and instrumental activities of daily life limitations. Conclusion: In particular, regarding the type of desired service, the cash benefit showed a high likelihood of the non-use of the service; it had an odds ratio (OR) of 50.212 (95% confidence interval [CI], 24.00-105.04) compared with home service. In case of dwelling place, a hospital showed also a high likelihood of the non-use with an OR of 20.71 (95% CI, 10.12-42.44) compared with home.

• Health Policy and Management
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• v.33 no.3
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• pp.243-252
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• 2023

This paper aims to introduce Korea's total current health expenditure (CHE) and National Health Accounts of the year 2021 and their 2022 preliminary figures constructed on the basis of the System of Health Accounts 2011. As CHE includes expenditures for prevention, tracking, and treatment of coronavirus disease 2019 (COVID-19) and compensation for losses to medical institutions from 2020, the details are also introduced. Korea's total CHE in 2021 is 193.3 trillion won, which is 9.3% of gross domestic product (GDP). The preliminary figure in 2022, 209.0 trillion won, exceeded the 200 trillion won line for the first time, and its "ratio to GDP" of 9.7% is expected to exceed the average of Organisation for Economic Co-Operation and Development member countries for the first time. Korea's health expenditures, which were well controlled until the end of the 20th century, have increased at an alarming rate since the beginning of the 21st century, threatening the sustainability of national health insurance. The increase in health expenditure after 2020 is partly due to a temporary increase in response to COVID-19. However, when considering the structure of Korea's health insurance price hike, where the ratchet effect of increased medical expenses works particularly strongly, it is unlikely that the accelerating growth trend that has lasted for more than 20 years will stop easily. More aggressive policies to control medical expenses are required in the national health insurance which not only constitutes the main financing sources of the Korean health system but also has the most powerful policy means in effect for changes in the health care provision.

• Health Policy and Management
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• v.19 no.2
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• pp.127-134
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• 2009

It is known that socioeconomic status(SES) of the cancer patient is associated with survival in recent studies, performed in other countries. The purpose of this study was to determine whether the association between status of national health insurance and survival is also present in a community in Jeonnam province, South Korea. The Gwangju-Jeonnam Cancer Registry, a population-based cancer registry, provided information to identify the cancer cases of study community diagnosed from 1998 to 2007. Total of 2,046 cases were identified during the period. There were significant associations between the status of national health insurance and survival for total cancer after adjusted by age, geographic accessibility to health care, and stage at diagnosis. However, this differences were not found in the analysis using only stomach and colorectal cancer cases. Despite of some limitations, this results suggest that the policy for reducing the difference according to the SES is required in national cancer management program.

• Health Policy and Management
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• v.26 no.4
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• pp.305-314
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• 2016

Background: The purpose of this study is to examine the characteristics of and factors associated with long-term care (LTC) utilization under public long-term care insurance (LTCI) among end-of-life older adults in Korea. Methods: Using a 5% sample of older people aged 65 or older and their health and LTC insurance data, two-part model analyses were conducted. We compared LTC uses and their determinants during the last year of life among decedents in the year 2010 with those of survivors. We also compared the medical uses of the same sample with their LTC uses. Results: The end-of-life elderly were more likely to use LTC, and their expenditure on LTC was higher than their counterparts. Whether or not older people used LTC during their last year of life was significantly affected by age, sex, health insurance, household income, and living alone; however, LTC costs of the decedents were only affected by functional status, which may have been due to the reimbursement scheme of the current LTCI, which is mainly based on functional dependency level. For the survivors, having chronic diseases significantly increased the likelihood of LTC use, which was not the case for the decedents. End-of-life elderly with relatively low social economic status were more likely to use the LTC other than medical services, while the health conditions affected their medical uses most significantly. Conclusion: The study findings provide key information for predicting demand related to the increasing LTC needs of Korean older people at the end of life.

• Health Policy and Management
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• v.29 no.4
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• pp.496-501
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• 2019

Background: In this study, wage status and wage determinants of care workers were analyzed. Methods: The analysis used database (DB) of long-term care institutions, DB of long-term care institutions, DB of long-term care workers, DB of health insurance qualification, and contribution possessed by National Health Insurance Services. We analyzed the wage status of the care workers from 2009 to 2016 through basic analysis and estimated the factors affecting the wage of the long-term care facilities' care workers using pooled ordinary least squares. Results: The monthly average wage of care workers was raised from Korean won (KRW) 1.37 million in 2009 to KRW 1.52 million in 2016, and the working hours were shortened by 20 hours from 207 hours to 187 hours. Hourly wages increased by KRW 1,329 from KRW 6,831 in 2009 to KRW 8,160 in 2016. The average monthly wage of care workers was affected by gender, age, years of employment, monthly working hours, establishment type, city size, institutional size, the grade of the institution, and management status. In particular, the wage level of the care workers was high when the larger the size of the institution, the better the management status (fill rate), the establishment type is "government and local government" and "corporation," the institutional rating is high, and the facility manager has the first grade of the social worker license. Conclusion: The government should consider aggressive policies to improve the treatment of care workers as well as the quality of long-term care services so that there will be more long-term care facilities that are guaranteed social publicity above a certain level.

• Journal of dental hygiene science
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• v.18 no.3
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• pp.182-187
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• 2018

As the elderly population increases, they are increasingly affected by oral health problems. Therefore, efforts are being made to improve the oral health of older people, alleviate mental discomfort, and reduce unmet dental needs. This study was conducted to confirm the relationship between the National Health Insurance Elderly Denture Coverage and the unmet dental need for the edentulous elderly, as part of the protection policy. We analyzed the 2011 and 2013 Community Health Survey data of the edentulous elderly, aged 75 years or older, before 2012. In order to more precisely confirm the effects of the denture donation policy on unmet dental care, basic life recipients who were subject to the free elderly prosthetic project were excluded from the analysis. The final analysis included 20,400 subjects. According to our investigation of the factors that affect the unmet dental needs of the elderly, the National Health Insurance Elderly Denture Coverage did not affect unmet dental needs. The statistically significant variables that affected the unmet dental needs of the elderly were education and income levels, which are representative socioeconomic status variables. The lower the level of education, the unhealthier the dental care experience, and income levels showed a similar tendency. The elderly who have a low socioeconomic status are more likely to experience unmet dental needs because they lack the knowledge and socioeconomic ability to pay for dental care. Therefore, the policy for health protection of the entire elderly population should be continuously expanded. In addition, the socioeconomically vulnerable groups may have health problems due to the restriction of medical use, which may lead to quality of life deterioration.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.593-608
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• 2013

According to increasing number of injury claims, the challenge is reducing investigation of cases of injuries by selecting them more delicately, while also increasing the redemption rates and the amount of restitution. In this regards, we developed the fraud detection model for injury claims of self-employed insured by using decision tree after collecting medical claim data from 2006 to 2011 of the National Health Insurance in Korea. As a result of this model, subject types were classified into 18 types. If applying these types to the actual survey compared with if not applying, the redumption collecting rate will be increasing by 12.8%. Also, the effectiveness of this model will be maximize when the number of claims handlers considering their survey volume and management plans are examined thoroughly.

• Health Policy and Management
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• v.31 no.4
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• pp.451-461
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• 2021

Background: Readmissions related to lack of quality care harm both patients and health insurance finances. If the factors affecting readmission are identified, the readmission can be managed by controlling those factors. This paper aims to identify factors that affect readmissions of convalescent rehabilitation patients. Methods: Health Insurance Review and Assessment Service claims data were used to identify readmissions of convalescent patients who were admitted in hospitals and long-term care hospitals nationwide in 2018. Based on prior research, the socio-demographics, clinical, medical institution, and staffing levels characteristics were included in the research model as independent variables. Readmissions for convalescent rehabilitation treatment within 30 days after discharge were analyzed using logistic regression and generalization estimation equation. Results: The average readmission rate of the study subjects was 24.4%, and the risk of readmission decreases as age, length of stay, and the number of patients per physical therapist increase. In the patient group, the risk of readmission is lower in the spinal cord injury group and the musculoskeletal system group than in the brain injury group. The risk of readmission increases as the severity of patients and the number of patients per rehabilitation medicine specialist increases. Besides, the readmission risk is higher in men than women and long-term care hospitals than hospitals. Conclusion: "Reducing the readmission rate" is consistent with the ultimate goal of the convalescent rehabilitation system. Thus, it is necessary to prepare a mechanism for policy management of readmission.

• Health Policy and Management
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• v.6 no.2
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• pp.14-42
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• 1996

On rationale for government intervention is the failure of competition in the market. Health care markets are characterized by such unique aspects as information asymmetry, prevalence of insurance, and cost-increasing competition based on the adoption of costly medical technology. Therefore, government policy to guarantee a sufficient number of providers in markets may not lead to socially beneficisal outcomes such as higher quantity and lower price. This paper examines the unique nature of health services and its implications for competition, the evidence that competition may not reduce health care ex[enditures, and policy tools that government can use to encourage competition which contributes to supporting a sustainable health care system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.4
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• pp.325-332
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• 2002

In the process of designing pareto optimal insurance contract, it is necessary to assume that insurance contract conditions are endogenous to build a model. The expected utility, the non-expected utility and the state-dependent utility function can be applied as a insurance decision making principle. The insurance costs may have the linear, convex, and concave ralationship with the indemnity schedule. However, the sunk cost and fixed cost must be recognized. The deductible which decides whether an insurance contract to be a full or partial insurance contract can exist in the forms of straight deductible or diminishing deductible. Indeciding the level of deductible, the types of the insurance and the risks to be insured should be the deciding factors. Especially for recall insurance, there is relatively high chance that the recalling company being bankrupt. Therefore, the possibility of bankrupcy should be the considering factor in deciding the policy limit. The existence of the incomplete market and uninsurable background risk should be understood as restricting conditions of the pareto-optimal insurance contract.