• The Journal of Korean Academic Society of Nursing Education
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• v.5 no.1
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• pp.7-19
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• 1999

The purpose of this study was to examine nursing college students' knowledge of and attitudes toward brain death, organ donation and organ transplantation. The research design utilized in this study was a descriptive research design. The data were collected from September 7 to 14, 1998, by means of strutted questionnaire. To measure students' knowledge of brain death, organ donation and organ transplantation, Joo's(1995) instrument was used. The questionnaire was composed of 22 items. To measure students' attitudes toward organ donation and organ transplantation, s(1995) Instrument was used. The questionnaire was composed of 22 items. The data were analyzed by frequency, t-test, ANOVA, and Pearson's Correlation Coefficient using the SAS program. The results were as follows : 1. Students' knowledge of brain death, organ donation and organ transplantation was 9-20. The mean score was 15.36, with 22, the highest possible score. There was statistically significant difference between students' knowledge and approval on the brain death recognition group(t=9.75, p=0.002). 2. Students' altitudes toward organ do nation and organ transplantation showed is mean score of 3.61 on a 5 attitudes points Liken scale. More than 80% of respondents agreed that organ transplantation can offer a high quality of life to the recipient and is an acceptable form of medical treatment. The health care costs associated with organ transplantation are worth itif another's life can be saved. Students felt it important to help others who are very ill. Also, by donating organs, students felt a part of their own body would continue to live by making it possible for someone else to live. Only 2.9% of students objected to organ donation for religious reasons. There was statistically significant difference among students' attitudes, experienced blood donor group(t=17.04, p=0.000), approval on the brain death recognition group (t=21.06, p=0.000), organ donation agreement group(t=46.13, p=0.000).

• KDI Journal of Economic Policy
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• v.33 no.3
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• pp.57-85
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• 2011

This paper investigates the effects of changes in household structure on service demand. The structure of households in Korea has been quickly changed due to low birth rate and population aging as well as increasing women's participation in the workforce. Their consumption patterns may have been altered by the structural changes. This paper focuses on the additional demand for market services replacing household activities such as household chores and care services. First, using a 3-sector time allocation model, we theoretically analyze the mechanism that marketization of household production can lead to the expansion of service industries. Next, in order to analyze the effects of changes in household structure on consumption demand, we estimate the Engel curves according to the QUAIDS model. For empirical work, the Survey of Household Finances was used. According to the results, structural changes in Korean households, such as an increase in single-person households, a decrease in families with a spouse or children under 6 years old, and an increase in dual-earner households, have caused an increase in medical expenses, education and training costs, and expenses for household services, which are typically substitutes for household production services.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.9015-9019
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• 2014

The study aimed to compare the 2 main types of insurance used by colorectal cancer (CRC) patients in a university hospital in Thailand: universal coverage (UC) and 'Civil Servant Medical Benefit Scheme' (CSMBS) in terms of hospital expenditure and survival outcomes. CRC cases in stages I-IV who were operated on and had completed their adjuvant therapy in Songklanagarind Hospital from 2004 through 2013 were retrospectively reviewed regarding their hospital expenditure, focusing on surgical and chemotherapy costs. Of 1,013 cases analyzed, 524 (51.7%) were in the UC group while 489 (48.3%) belonged to the CSMBS group. Cases with stage IV disease were significantly more frequent in the UC group. Average total treatment expenditure (TTE) was 143,780 Thai Baht (THB) (1 US$ =~ 30 THB). The TTE increased with tumor stage and the chemotherapy cost contributed the most to the TTE increment. TTE in the CSMBS group was significantly higher than in the UC group for stage II-III CRCs. The majority of cases in the UC group (65.5%) used deGramont or Mayo as their first line regimen, and the proportion of cases who started with a capecitabine-based regimen (XELOX or $Xeloda^{(R)}$) was significantly higher in the CSMBS group (61.0% compared to 24.5% in the UC group, p-value < 0.01). On survival analysis, overall survival (OS) and progress free survival in the CSMBS group were significantly better than in the UC group. The 5-year OS in the CSMBS and UC groups were 84.3% and 74.6%, respectively (p-value < 0.01). In conclusion, the study indicates that in Thailand, the type of insurance influences resource utilization, especially the choice of chemotherapy, in CRC cases. This disparity in treatment, in turn, results in a gap in treatment outcomes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1460-1465
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• 2016

Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.

• The Korean Journal of Food And Nutrition
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• v.28 no.4
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• pp.717-727
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• 2015

Although the NutriPlus program has shown considerable evidence of enhancing users' nutritional status, the budget does not cover all eligible mothers and children. This study aimed to conduct a cost-benefit analysis of the NutriPlus program to assess its economic efficiency. 53 families with 79 users in the NutriPlus program at Daejeon Dong-gu Health Center participated in this study with informed consent. The costs and benefits were estimated from both the administrator's and users' perspectives. We converted the time cost into Korean currency based on the minimum wage in 2014. The value of nutrition education and service (B2), estimated by contingency valuation method (CVM), was counted as an economic benefit. 6 families (11.3%) were recipients of national medical care and 22 families (41.5%) paid 10% of the food package cost by themselves. The total cost was \7,450,167 and the total benefit was \12,402,239. The budget for the health center (C1+C2+C3+C4) was \5,984,381 a month. Time and transportation cost for receiving nutrition education (C6) differed significantly according to the economic status of families. Household food consumption increase (C4-B4) was 40,379 in the poverty group, which was four times more than in the other groups. The net benefit (B-C) was \4,852,172 and the B/C ratio was 1.66. Therefore, the NutriPlus program is beneficial in the economic aspect as well as in the nutritional aspect. If the enhancement of nutritional status was also considered, the total benefit would be even higher. These results confirm the legitimacy of a secure budget for the NutriPlus program. And we suggest expanding its budget to cover more eligible individuals to improve people's health and welfare.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.187-195
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• 2019

Recently, it has become possible to collect, store, process, and analyze data generated in various fields by the development of the technology related to the big data. These big data technologies are used for clinical results analysis and the optimization of clinical trial design will reduce the costs associated with health care. Therefore, in this paper, we are going to analyze clinical results and present guidelines that can reduce the period and cost of clinical trials. First, we use Sqoop to collect clinical results data from relational databases and store in HDFS, and use Hive, a processing tool based on Hadoop, to process data. Finally we use R, a big data analysis tool that is widely used in various fields such as public sector or business, to analyze associations.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.47 no.3
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• pp.197-208
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• 2021

Objectives: The purpose of this retrospective study was to evaluate the variables associated with length of stay (LOS), hospital costs, intensive care unit (ICU) use, and treatment outcomes in patients hospitalized for maxillofacial infections at a tertiary medical center in South Korea. Materials and Methods: A retrospective chart review was conducted for patients admitted for treatment of maxillofacial infections at Dankook University Hospital from January 1, 2011 through September 30, 2020. A total of 390 patient charts were reviewed and included in the final statistical analyses. Results: Average LOS and hospital bill per patient of this study was 11.47 days, and ₩4,710,017.25 ($4,216.67), respectively. Of the 390 subjects, 97.3% were discharged routinely following complete recovery, 1.0% expired following treatment, and 0.8% were transferred to another hospital. In multivariate linear regression analyses to determine variables associated with LOS, admission year, infection side, Flynn score, deep neck infection, cardiovascular disease, admission C-reactive protein (CRP) and glucose levels, number and length of surgical interventions, tracheostomy, time elapsed from admission to first surgery, and length of ICU stay accounted for 85.8% of the variation. With regard to the total hospital bill, significantly associated variables were age, type of insurance, Flynn score, number of comorbidities, admission CRP, white blood cell, and glucose levels, admission temperature, peak temperature, surgical intervention, the length, type, and location of surgery, tracheostomy, time elapsed from admission to first surgery, and length of ICU use, which accounted for 90.4% of the variation. Age and ICU use were the only variables significantly associated with unfavorable discharge outcomes in multivariate logistic regression analysis. Conclusion: For successful and cost-effective management of maxillofacial infections, clinicians to be vigilant about the decision to admit patients with maxillofacial infections, perform appropriate surgery at an adequate time, and admit them to the ICU.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.32-42
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• 2024

The Internet of Things (IoT) is set to transform patient care by enhancing data collection, analysis, and management through medical sensors and wearable devices. However, the convergence of IoT device vulnerabilities and the sensitivity of healthcare data raises significant data integrity and privacy concerns. In response, this research introduces the Smart-Coord system, a practical and affordable solution for securing healthcare IoT. Smart-Coord leverages blockchain technology and coordinate-based access management to fortify healthcare IoT. It employs IPFS for immutable data storage and intelligent Solidity Ethereum contracts for data integrity and confidentiality, creating a hierarchical, AES-CBC-secured data transmission protocol from IoT devices to blockchain repositories. Our technique uses a unique coordinate system to embed confidentiality and integrity regulations into a single access control model, dictating data access and transfer based on subject-object pairings in a coordinate plane. This dual enforcement technique governs and secures the flow of healthcare IoT information. With its implementation on the Matic network, the Smart-Coord system's computational efficiency and cost-effectiveness are unparalleled. Smart-Coord boasts significantly lower transaction costs and data operation processing times than other blockchain networks, making it a practical and affordable solution. Smart-Coord holds the promise of enhancing IoT-based healthcare system security by managing sensitive health data in a scalable, efficient, and secure manner. The Smart-Coord framework heralds a new era in healthcare IoT adoption, expertly managing data integrity, confidentiality, and accessibility to ensure a secure, reliable digital environment for patient data management.

• Korea Journal of Hospital Management
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• v.25 no.3
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• pp.67-77
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• 2020

Background: As of 2016, average Koreans sleep 7 hours and 42 minutes, the lowest figure among Organization for Economic Cooperation and Development(OECD) countries, and the number of people with sleep disorders reached 561,000. Accordingly, the government has promoted the provision of 'Multiple Sleep Test' to strengthen the diagnosis service for patients with 'sleep disorder' in july 2018. As a result, healthcare costs for patients with sleep disorder is on the rise every year. In this study, we utilized 'Appropriate Sleep' criteria of United States's National Sleep Foundation(NSF) then investigated Korean's sleep pertinence using ｢7th National Health and Nutrition Survey for 2016-2018」 by different occupational type, demographic characteristics, socio-economic characteristics, and health behaviors. Methods: We performed descriptive analysis to examine differences of sleep appropriateness by various sample characteristics. Multivariate logistic regression models were used to examine sleep appropriateness by occupational type and other variables. We also analyzed subgroup models to investigate. Results: As a result, a total of 1,948 (18.37%) study subjects experienced in-appropriate sleep. Results of the Multivariate logistic regression analysis revealed that blue color group had a higher odds ratio (OR) for experiencing in-appropriate sleep (OR=1.179). In addition, the odds ratio of experienced in-appropriate sleep among the elderly aged 70 and over was 2.698, and the odds ratio of the overstressed group was 1.299. Furthermore, sub-group analysis showed that blue color job of female(Or=1.334), high school or below(OR=1.404), divorce/death/separation(OR=2.039), 25%ile-50%lie income group(OR=1.411) more likely experienced in-appropriate sleep. Conclusion: Growing sleep disorder patients and related health care costs are expected. Government should apply detailed 'total periodic sleep disorder management policy' including pre-consultation, examination, diagnosis, treatment, post-consultation, self-management especially to vulnerable population that this study found.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.163-173
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• 2020

For the successful execution of an ODA project, it is necessary to know what areas are weak and necessary to the country of demand exactly. The health sector is also a top priority in most of developing countries. This study was carried out to introduce non-communicable disease (NCD) in Fiji for ODA projects planning. The major causes of death in Fiji in 2016 are diabetes, ischemic heart disease, cerebrovascular disease, chronic kidney disease, lower respiratory infect, asthma in ranking. The major causes of death in Korea in same year are cancer, ischemic heart diseases, cerebrovascular diseases, pneumonia, suicide, diabetes in the order of ranking. The chronic disease as non-communicable disease (NCD) has been increasing continuously due to changes in lifestyle and consumption patterns and population aging in prevalence rate. This global trend is also apparent in Fiji and Korea, reflected in increasing mortality and personal costs for the treatment and management of NCD. The need for a sustained comprehensive treatment tailored for individual patients has suggested from many studies and the development of a systematic program to manage NCD patients to provide such care have been recommended. The Fiji government developed Non-communicable Diseases Strategic Plan 2015-2019 and has tried to reduce the prevalence rate of non-communicable diseases by factors. The WHO global action plan guiding national-level NCD policies requires an NCD prevention and control model at the community level, presenting strategic goals and detailed options for the introduction and application of the approach to communities. It is necessary to develop an NCD prevention and control model, consisting of a strategy of community intervention, education for students and NCD patients, and the legal enactment of NCD that adequately meets the needs of community members.