• Journal of Korean Academy of Nursing Administration
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• v.12 no.2
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• pp.225-232
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• 2006

Purpose: The purpose of this study was to analyze the services and cost of CVA patients in hospital-based home health care and compare the differences of home health care cost by hospital types. Methods: The subjects of this study were 5,756 home care patients with cerebrovascular disease. Data were collected by using home health care medical expense claims from 127 hospitals in 2004. Results: The home care service 'indewelling catheterization' was the highest(19.28%), and then 'nasogastric tube insertion and change(16.72%)', 'bladder irrigation(15.98)', 'wound management(simple dressing)(10.42%)' followed. Average home health care cost per visit was 39,943 won, and the highest 46,058 won in general hospitals and the lowest 33,922 won in tertiary hospitals, so there were statistically significant among the types of hospitals(F=1112.47, p<0.0001). Conclusions: The number of home health care patients has been rapidly growing with the increase of aged population and demand for home care services is rising. So, it could be urgent to develop a reasonable cost reimbursement system for home health services and to expend scopes of the roles of home care specialist nurses. Amid the demand of more detail understanding the present status of home care, our study can be contributed to provide fundamental information of home care in Korea.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.1
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• pp.15-26
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• 2017

Purpose: This study evaluated the efficacy of a communication ability enhancement program for nursing students in Korea through a systematic review of literature and meta-analysis. Methods: The researchers searched data-bases, including the Data Base Periodical Information Academic, Research Information Sharing Service, National Digital Science Library and National Assembly Library. The key words used included 'communication' and 'nursing student'. The researchers evaluated articles published up to July 2016. Out of 381 selected articles, 20 clinical trial studies were meta-analyzed. Each article was evaluated in accordance with the Checklist of Scottish Intercollegiate Guideline Network. The effect size of communication ability, self-efficacy and interpersonal relations were synthesized by a random effects model from analysis software (R 3.2.3). The heterogeneity of effect size was analyzed by exploratory and confirmatory moderator analysis. Results: The overall effect size of the program was of a moderate level (SMD=0.78, 95% CI: 0.49~1.07) along with each outcome of self-efficacy (SMD=0.80, 95% CI: 0.23~1.37), and interpersonal relations (SMD=0.47, 95% CI: 0.14~0.80). For heterogeneity, moderator analysis was performed, by grade, and a statistically significant moderator was found. Conclusion: It is evident that a communication ability enhancement program for nursing students is moderately effective in improving communication ability, self-efficacy and interpersonal relations.

• Korea journal of population studies
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• v.5 no.1
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• pp.117-132
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• 1982

During the period of 1962 through 1981, a total of 11. 7 million cummulative acceptors have received contraceptive services under the national family planning program. The number of annual acceptors have steadly increased from 151, 200 in 1963 to 842, 200 in 1975, and since then it has maintained the range of 600, 000 to 800, 000 acceptors per year. From the beginning of the program, the IUD had been the principal method of contraception provided by the government program until 1976, at which time the government made female sterilization services available thorough the introduction of the laparoscopy method. The popularity of female sterilization has increased very rapidly during the last few years. Out of 614, 200 program acceptors in 1981, the proportion of female sterilization and IUD acceptors were virtually the same(26.8% and 27.2% respectively). Considering various anticipated problems such as a large proportion of contraceptive users for the fertility termination and the high discontinuation rates of IUD and other traditional method, the government has emphasized the distribution of female sterilization and deemphasized condom and pill contraceptives since 1978. However, the recent service statistics has revealed that the acceptance rate of female sterilization has steadly declined since 1979. Thus, the purpose of this analysis is to review the current government policy on contraceptive distribution with emphasis of female sterilization by estimating the prospect of sterilization acceptablilty. According to the Fifth Five-Year Plan for Family Planning Program(1982-1986) the annual average target of sterilization was set up to secure 230, 000 acceptors by the government sector during the period. If the sterilization target is to be met as planned, about 80 percent of exposed women aged 30-44 will be remained as sterilized women in 1985. This means the the high acceptance rate of sterilization shown in the past years can not be expected, unless the acceptors' age of sterilization is drastically lowered below 30 years. Accordingly, the current policy on contraceptive distribution with emphasis on sterilization should be gradually changed to encourage target population to use contraceptives for birth spacing by increasing access to such contraceptives as IUDs, pills, and condoms, and to improve continuation rates through better program management system including target setting, acceptors' follow-up, supervision, and evaluation system.

• Human Ecology Research
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• v.58 no.4
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• pp.613-633
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• 2020

This study identifies consumers' perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store's app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers' satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.

• Quality Improvement in Health Care
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• v.25 no.2
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• pp.16-25
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• 2019

Purpose:The healthcare system of South Korea is at the extreme of the dispersed system. Few regulations limit patients from directly visiting higher-level medical institutions for primary care sensitive conditions. As a result, similar to local clinics, general and tertiary teaching hospitals also provide diverse primary care services. Our study aimed to examine the general public's perceptions of their primary care performance. Methods: Face-to-face surveys were conducted with 1000 adults who were living in South Korea with the aid of a questionnaire that included the Korean Primary Care Assessment Tool (KPCAT). The KPCAT consists of five domains, which are the main indicators of primary care performance: first contact, comprehensiveness, coordination, personalized care, and family/community orientation. One-way analysis of variance and post hoc tests were used to compare the KPCAT scores across the three types of medical institutions. Results: Domain-wise analyses revealed two different patterns. With regard to first contact and its subdomains, the highest and lowest scores emerged for local clinics and tertiary teaching hospitals, respectively. However, the other four domain scores were significantly lower for local clinics than for the other two types of medical institutions. Conclusions: Local clinics were perceived to be medical institutions that are responsible for providing primary care. However, the general public perceived only one domain of their primary care to be superior to that of the other two types of medical institutions: first contact. National efforts should be taken to strengthen their other four domains of primary care by training their workforce and providing appropriate incentives.

• Journal of the Korea institute for structural maintenance and inspection
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• v.7 no.3
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• pp.241-249
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• 2003

The service life of steel bridges can be assured only when their strength, serviceability and fatigue safety are fulfilled. However, at the present time, the continuous research for fatigue of steel bridges is desperately required since not much research work has been done so far. In this study, a guideline on the fatigue design is suggested for the practical purpose in order to establish the long-term safety of steel bridges against fatigue. The continuous steel truss bridge was analyzed for the cumulative reversals of the actual traffic, stress ranges and fatigue strength. From the results, the domestic fatigue design procedure was found to be fairly overestimated in comparison to the design code of other foreign countries. Therefore, it is necessary to review the current fatigue design specifications and have the new and rationalized design criteria in the future domestic fatigue design guidance.

• Health Policy and Management
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• v.25 no.3
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• pp.197-206
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• 2015

Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.

• Anxiety and mood
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• v.6 no.1
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• pp.55-64
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• 2010

Objective : Depression is a significant and growing problem among college students. Depression contributes to numerous academic, social, and health problems, including suicide. This study surveyed depression awareness and the need for establishing a depression support program through Kyunghee University. Methods : We used the Kyunghee University Mail delivery system for college students to conduct this survey on depression and depression. Results : All of the students who responded to the survey, 41.86% reported that they had experienced depression. Among students experiencing depression, 27.27% experienced suicidal ideation, and 56.56% said they wanted to receive mental health counseling or treatment. All the respondents, 47.04% of respondents said they would to go to the external medical center, not school's internal counseling center of school, for such treatment. All the respondents, 73.75% said the student depression/suicide problem was serious. In addition, 71.34% of respondents required a depression support program. Conclusion : The university's depression support program needs to improve its accessibility by developing content focused on the early detection of, and improved awareness of, depression.

• Korean Medical Education Review
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• v.18 no.2
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• pp.51-57
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• 2016

This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.

• Smart Structures and Systems
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• v.24 no.5
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.