Background: The long-term care (LTC) group has higher rates of chronic disease and disability registration compared to the general older people population. There is a need to provide integrated medical services and care for LTC group. Consequently, this study aimed to identify medical usage patterns based on the ratings of LTC and the characteristics of benefits usage in the LTC group. Methods: This study employed the National Health Insurance Service Database to analyze the effects of demographic and LTC-related characteristics on medical usage from 2015 to 2019 using a repeated measures analysis. A longitudinal logit model was applied to binary data, while a linear mixed model was utilized for continuous data. Results: In the case of LTC ratings, a positive correlation was observed with overall medical usage. In terms of LTC benefit usage characteristics, a higher overall level of medical usage was found in the group using home care benefits. Detailed analysis by medical institution classification revealed a maintained correlation between care ratings and the volume of medical usage. However, medical usage by classification varied based on the characteristics of LTC benefit usage. Conclusion: This study identified a complex interaction between LTC characteristics and medical usage. Predicting the requisite medical services based on the LTC rating presented a challenge. Consequently, it becomes essential for the LTC group to continuously monitor medical and care needs, even after admission into the LTC system. To facilitate this, it is crucial to devise an LTC rating system that accurately reflects medical needs and to broaden the implementation of integrated medical-care policies.
Background: Bankrupted households have recently been increased due to excessive medical expenditure in Korea. They have not been protected from economic risk when household's member has severe diseases that need a lot of money for treatment. Purpose of this study examines policy effect by comparing unmet needs' change of policy object households and non-object groups. Methods: We used Korea Health panel 2nd 4th data collected by Korea Institute for Health and Social Affairs and National Health Insurance Service. Analysis subjects were 381 households (pre-policy) and 393 households (post-policy) that had cancer and cardiovascular and cerebrovascular diseases. Since it was major concern that estimates benefit strengthening policy started by certain time, we setup comparing households which had diabetes, hypertension disease. Comparison subjects were 393,247 households, respectively and we evaluated policy effect using difference in difference (DID) model. Results: Although unmet needs of policy object households were higher than non-object groups, policy execution variable affected negative direction. But interaction-term which shows pure effect of policy was not statistically significant. We utilized multi-DID model to examine factors affecting unmet needs causes. Copayment assistance policy did not significantly affect households that responded to 'economic reason,' and 'no have time to visit' for unmet needs causes. Conclusion: The second copayment assistance policy did not significantly give positive effect to beneficiary households than non-beneficiary groups. When we consider that primary purpose of public insurance guarantee high medical expenditure occurred by unexpected events, it needs to deliberate on switch of benefit strengthening policy that can assist vulnerable people. Also, we suggest that government forward a policy covering non-reimbursable medical expenses as well as switch of benefit strengthening direction because benefit policy do not affect non-covered medical cost which accounts for quarter of total health expenditure.
A change in the consumer's surplus was measured in order to evaluate the social benefit to be derived from expanding health insurance to the entire population. The most refined and correct way to measure a project's net benefit to society is to determine a change in the consumer's surplus. Benefits from introducing the health insurance program to the uninsured people can be classified into two elements. The first is the pricing-down effect(E1) which results from applying the insurance price system, which is lower than the actual price, to the uninsured patients. The second effect(E2) is a decrease in actual payment because an insured patient pays only a portion of the total medical bill(copayment). We collected medical price information from the data banks of 93 hospitals, and obtained information of medical utilization by referring to the results of other research and from data published by the Korean Medical Insurance Societies. The total net benefit was estimated as \214 billion, comprising the first effect(E1) of \57 billion and the second effect(E2) of \157 billion. The price elasticity of physician visits is less than that of hospital admissions: however, benefits from the increase in physician visits are greater than those from hospital admissions because there are considerably more of physician visits than hospital admissions. The sensitivity analysis also shows the conclusion that expansion of the health insurance program to the entire population would result in a positive net benefit. Therfore, we conclude that the National Health Insurance Program is socially desirable.
Mohd. Ab. Hadi Tohiar;Safurah Jaafar;Azimatun Noor Aizuddin;Tan Kok Leong;Azrin Syahida Abdul Rahim
Annals of Occupational and Environmental Medicine
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제34권
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pp.3.1-3.12
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2022
Background: Influenza illness causes several disruptions to the workforce. The absenteeism that often ensues has economic implications for employers. This study aimed to estimate the cost-benefit of influenza vaccination in a healthcare setting from the employer's perspective. Methods: A cross-sectional questionnaire survey was conducted in a private hospital in 2018-2019 comparing voluntary vaccinated with non-vaccinated employees with influenza vaccine. The analyses were made based on self-reporting on absenteeism and presenteeism from Influenza-like illnesses (ILIs). The costs incurred, both direct and indirect costs, were included in the study. A cost-benefit analysis was performed by measuring the cost of the vaccination program. The costs of absenteeism and reduced productivity were calculated using 3 hypothesised levels of effectiveness in the following percentage of productivity of 30%, 50%, and 70%. The costs were also calculated based on four scenarios: with and without operating income and with and without replacement. The benefits of the influenza vaccination from the employer's perspective were analysed. The benefit to cost ratio was determined. Results: A total of four hundred and twenty-one respondents participated. The influenza vaccination rate was 63.0%. The rate of ILI of 38.1% was significantly lower among vaccinated. The ILI-related absenteeism reported was also significantly lower amongst vaccinated employees at 30% compared to 70% non-vaccinated. Employers could save up to USD 18.95 per vaccinated employee when only labour cost was included or 54.0% of cost savings. The cost-saving rose to USD 155.56 when the operating income per employee was also included. The benefit to cost ratio confirmed that the net cost-benefit gained from the vaccination was more than the net cost of vaccination. Conclusions: Influenza vaccination for working adults was cost-saving and cost-beneficial when translated into financial investments for the employer. A workplace vaccination demonstrates a significant cost-benefit strategy to be applied in any institutional setting.
Purpose : The purpose of the study were to describe outcomes of CHP activities, and to evaluate the economic validity of CHP through a cost-benefit analysis. Method : The sample size was 272. Data were collected using a researcher developed questionnaire from November 1999 to March, 2000. Result : The mean age of CHPs was 39.6 (SD-36). In regard to marital status, 90.8% of the respondents were married. 72% of the CHPs had associate degree. Among CHP activities, providing medical services was 50%, followed by home care visits 20% and health promotion services 20%, preventive services 10%. Total costs per month incurred to CHP activities was \3,053,437($2,442.7). Total benefits per month was \6,711,525($5,369.2). Hence, net benefit was calculated as \3,658,089($2,926). Conclusion : Cost-benefit ratio was 2.20, which provides the evidence of the economic viability of CHP program. The result of cost-benefit analysis, however, would more strongly support the economic value of CHP if intangible benefits of CHP activities such as decreases in pain and suffering and increased quality of life, could be counted.
Although occupational low back pain accounts for $20\sim40%$ of all occupational illness and injury, there are limited numbers of studies regarding the effectiveness of back school program. The objective of this study was to evaluate the economic benefit of back school program for early return to work of occupational low back pain patients in the current occupational injury compensation and management system. The cost-benefit analysis in this study was conducted to evaluate the relative magnitude of benefit to cost. The total cost was estimated by calculating the value of components in back school program according to governmental budget protocol. The back school program was consisted of three major approaches, pain center, work-hardening program and funcional restoration program and each of components had various facilities and experts. The total amount of cost was estimated as 250,866,220 won per year. The most promising type of back school program were quite intensive (a 3 to 5-week stay in a specialized center), therefore, if we adopted the 5-week stay course, 10 courses could be held in a year. Following to the medical act, 20 patients per doctor could participate in a each course, ie, total 200 patients in a year. As a result, we could estimate the cost of 1,254,331 won a patient. We estimated the benefit by using data of a few local labor offices about average medical treatment beneficiary and off-duty beneficiary of 46 occupational low back pain patients in 1994. Ullman and Larsson (1977) mentioned that the group of chronic low back pain patients who participated in back school program needed less time to recover by 48.4% of beneficiary duration. And in the trying to estimate the benefit, we asked 10 rehabilitation board certificate doctors about reduction proportion of treatment cost by introducing back school program. The answered reduction proportions were in the range of $30\sim45%$, average 39%. As a final result, we could see that the introduction of back school program in treatment of chronic occupational low back pain patients could produce the benefit to cost ratio as 3.90 and 6.28. And we could conclude that the introduction of back school program was beneficial to current occupational injury compensation and management system.
International Journal of Internet, Broadcasting and Communication
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제7권2호
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pp.84-89
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2015
About 30% of Mongolian population is populated in the capital of the nation. Too many hospitals are concentrated in size as compared to the capital. This creates a difficult environment to provide equal distribution of medical benefit. In order to resolve this issue of medical benefit inequality, a portable/travelling medical treatment system using 'M-LIMS' is proposed for real-life application. The system with M-LIMS to be designed will include functions such as composing, sharing charts among doctors, standardizing charts. M-LIMS will be designed considering Mongol's regional characteristics, and application plans will be proposed accordingly.
Since the introduction of National Health Insurance(NHI) in 1977, it has grown rapidly and contributed to extend patient's access to the health care services. However, limited coverage for health care services of NHI has been ongoing challenge and private health insurance(PHI) has been rising as an alternative source of enhancing coverage and saving out-of-pocket(OOP) expenditure for patients. In this study, after controlling for socio-demographic, economic, health related variables, we identified the patients' healthcare utilization and subsequent OOP expenditure depending on their PHI enrollment and their enrollment types(fixed benefit, indemnity, fixed benefit plus indemnity). Data were collected from the 2010 Korean Health Panel. The unit of analysis was a member of household(n=13,324). Of the 13,324 cases, 70.7% of patients held PHI, in detail, fixed benefit(47.0%), indemnity(3.6%), fixed benefit plus indemnity(20.1%). Major findings showd that patients who enrolled in PHI used more outpatient services(outpatient visit, number of physician visit, number of examination) and spent more OOP expenditure than non-PHI patients. There were also differences of healthcare utilization and OOP expenditure among the types of PHI. In addition, PHI patients used more inpatient services(inpatient use, number of hospitalization, LOS), but there was no significant difference between PHI and non-PHI patients with regard to the OOP expenditure. Thus, we could not find any distinct relationship between the types of PHI and patients' tertiary hospital use. Policy-makers should need careful political deliberation for monitoring the effect of PHI on health care utilization and subsequent expenditure not only to improve patients' coverage but also to save their OOP expenditures.
Recently, with the increase in the number of private health insurance subscribers, interest in overuse of the medical service is increasing. This study analyzed the impacts of private health insurance (PHI) on medical institution selection in outpatient service utilization among persons with arthritis. In order to control patients' health status, we extracted outpatient episodes with the same disease (KCD6, M13) from Korea Health Panel. The unit of analysis was an outpatient visit with arthritis in 2014 (n=23,363). In the light of insurance coverage, we redefined three type of private health insurance (ex, indemnity, fixed benefit, and non-insured) as a test variable and two type of medical institution (ex, hospital and physician visit) as a dependent variable. We conducted a probit regression analysis to identify the impacts of PHI on medical institution selection controlling for heteroscedasticity. The results of this study showed that the insured with indemnity were more likely to choose hospital departments than clinics (marginal effect=0.0475, p=0.000). The impact of participation of fixed benefit PHI was not as clear as that of indemnity type (marginal effect=0.0162, p=0.047). In conclusion, this study confirmed that PHI, particularly indemnity type has a significant impact on the selection of medical institutions. Healthcare policy makers should consider that PHI not only affects the overall quantitative increase in healthcare utilization, but also influences the selection of medical institutions.
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