Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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2007.04a
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pp.269-272
/
2007
As a number of new college students is gradually decreasing, each college is trying to find various solutions for gathering many students and operating a school. In specialty, information such as entrance examination and matriculation status data is very important for a college to decide a direction of admission and public relations policy, and increase welfare of the school. Therefore, it is seriously needed for a school to introduce a matriculation management system that can do the effective analysis through various entrance examination and matriculation status data and decision factors of school. In this study, I developed a matriculation management system which can analyze information of applicants, successful candidates and registrants based on national framework data. It is expected that the developed system can provide appropriate and rational information for public relations policy and operation to a college.
Objectives : This study was performed to examine medical care utilization of psychiatric patients and to explore patients' characteristics associated with extended hospitalization. Methods : Data were extracted from information of Korean Health Insurance Review and Assessment Service. All data associated with admission and outpatient clinic visit were analysed by patient characteristics. We selected first psychiatric admission patients who diagnosed mental and behavioral disorders due to use of alcohol (main disease code: F10), schizophrenia and related disorders (F20-29) and mood disorders (F30~33) from January to June 2005. We analysed status of admission, mean length of stay, regular access to outpatient clinic and rates of extended hospitalization during 3 years. Bivariate and multivariate analyses were conducted to identify factors associated with extended hospitalization. Results : The number of psychiatric patients during the first six month of 2005 was 30,678. The mean length of stay was longest for schizophrenia and related disorders but shortest for mood disorders. Patients who experienced an extended hospitalization were 18.8% of total subjects. An extended hospitalization was more common in schizophrenia and related disorders than other diagnostic groups. The factors associated with the extended hospitalization were age, sex, diagnostic group, type of insurance and medical care utilization groups. Conclusions : The study indicates the problem of an extended hospitalization for psychiatric patients in Korea. It is suggested that variations in rates of extended hospitalization among medical care utilization group may need an active early intervention system in psychiatric treatment service. Particular attention needs to be devoted to planning and funding for reducing extended hospitalization.
Purpose: Repeated hospitalization could be a proxy of unnecessary or preventive admission in South Korea where barriers to hospitalization are relatively low. This study aimed to estimate the current status of repeated hospitalization due to ambulatory care sensitive conditions (ACSC) in South Korea. Methods: Using the National Health Information Database, repeated hospitalization databases were constructed in units of episodes for patients who had been admitted more than twice between January 2017 and December 2018. The number of hospitalizations, total in-hospital days, and total medical expenditure were calculated and compared by patient characteristics in both of the entire patient group and the ACSC patient group. Results: Of total hospitalization episodes, 26.6% reported repeated admission, and 6.7% of repeated hospitalization was due to ACSC. A total of 183,110 patients with ACSC had been admitted an average of 2.9 times and spent an average of KRW5,630,118. In other words, KRW1,309 billion had been spent for repeated hospitalization due to ACSC. The scale of medical expenditure was relatively large in the highest and lowest socioeconomic status. Conclusion: Repeated hospitalization for ACSC can be considered a simple and intuitive indicator when assessing unnecessary hospitalizations or evaluating healthcare policy.
The purpose of this study was to identify the differences in medical care utilization by regional economic status using the National Hospital Discharge Patients Injury Survey. In order to determine economic status of each region, 234 cities and counties were categorized 5 quintiles according to their financial self-reliance ratio. The main results are as follows. First, low economic region has high age-standardized admission rate and standardized mortality rate. Second, of 16 major diseases, cerebrovascular and heart diseases, lung cancer, and stomach cancer reported greater changes in standardized mortality rate by regional economic status. Third, the rate of admission via emergency room in low economic region is higher than that of high economic region. Lastly, in the major illnesses, lower economic status led to an increase in average length of stay. Therefore, In order to bridge the gap in health inequality across regions, a regional medical policy tailored for each region and characteristics of the economic status should be established.
The purpose of this paper is to evaluate the policies for reducing private tutoring expenditure in Roh Mu Hyun and Lee Myeong Bak Government using Causal Loop analysis based on the Systems Thinking perspective. The results are as follows. First, high educational achievers receive more private tutoring than lowers and children who have rich parents have better chance to take private tutoring than the others. It reflects the social characteristics which emphasize the academic ability and educational background. Second, two governments implemented educational policies to control the private tutoring expenditure as balancing loops ; strengthening public education, providing after school programs and EBS KSAT teaching and improving the entrance exam of university. Third, they overlooked the unintended feedback loops coming from 1) incongruity between causes and countermeasures of shadow education 2) wrong perception of substitutional relationship between public education and shadow education 3) side effect of the policy increasing the weight of student record 4) problems of diversifying high schools 5) dilemma of easing the burden of testing through admission officer system. The conclusion is that policies of reducing the private education expenses have failed because two governments don't consider unintended Feedback Loops in the process of making education policies. So we have to make policies based on Systems Thinking and reducing private education expenses should not be the purpose of strengthening the public education.
Journal of Korean Academy of Nursing Administration
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v.9
no.3
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pp.391-401
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2003
Purpose: This study aimed at curriculum development of master of science in nursing(MSN) and master of business administration(MBA) dual degree program. Method: This study performed a comprehensive review of 36 foreign MSN/MBA dual degree programs and 5 MBA programs in Korea, and analyzed philosophy, objectives, required credits to graduation, core subjects and electives, admission criteria of the programs. Results: The proposal of dual degree program consisted of 60 credits which are divided into 24 nursing credits and 36 business administration credits. Another program for graduate school of nursing are composed of 38 credits which includes consists of 14 nursing credits, 20 management credits, and 4 prerequisites. condusion: The curriculum that was proposed in this study will equip nurses to meet the challenges of future healthcare provision and will be a model to other areas of nursing practice and curriculum development.
Objectives : There have been few studies examining the differences in health care utilization across social classes during the last year of life. Therefore, in this study we analyzed the quantitative and qualitative differences in health care utilization among cancer patients across educational classes in their last year of life, and derived from it implications for policy. Methods : To evaluate health care utilization by cancer patients in the last year of life, Death certificate data from 2004 were merged with National Health Insurance data (n=60,088). In order to use educational level as a social class index, we selected the individuals aged 40 and over as study subjects (n=57,484). We analyzed the differences in the medical expenditures, admission days, and rates of admission experience across educational classes descriptively. Multiple regression analysis was conducted to evaluate the association between medical expenditures and independent variables such as sex, age, education class, site of death and type of cancer. Results : The upper educational class spent much more on medical expenditures in the last one year of life, particularly during the last month of life, than the lower educational class did. The ratio of monthly medical expenditures per capita between the college class and no education class was 2.5 in the last 6-12 months of life, but the ratio was 1.6 in the last 1 month. Also, the lower the educational class, the higher the proportion of medical expenditures during the last one month of life, compared to total medical expenditures in the last one year of life. The college educational class had a much higher rate of admission experiences in tertiary hospitals within Seoul than the other education classes did. Conclusions : This study shows that the lower educational classes had qualitative and quantitative disadvantages in utilizing health care services for cancer in the last year of life.
Background: Previous studies showed differences in healthcare utilization among insurance types. This study aimed to analyze the difference in healthcare utilization for percutaneous transluminal coronary angioplasty inpatients by insurance types after controlling factors affecting healthcare utilization using propensity score matching (PSM). Methods: The 2011 national inpatient sample based on health insurance claims data was used for analysis. PSM was used to control factors influencing healthcare utilization except insurance types. Length of stay and total charges were used as healthcare utilization variables. Patients were divided into National Health Insurance (NHI) and Medical Aid (MA) patients. Factors representing inpatients (gender, age, admission sources, and Elixhauser comorbidity index) and hospitals (number of doctors, number of beds, and location of hospitals) were used as covariates in PSM. Results: Tertiary hospitals didn't show significant difference in length of stay and total charges after PSM between two insurance types. However, MA patients showed significantly longer length of stay than that of NHI patients after PSM in general hospitals. Multivariate regression analysis provided that admission sources, Elixhauser comorbidity index, insurance types, number of doctors, and location of hospitals (province) had significant influences on the length of stay in general hospitals. Conclusion: Study results provided evidences that healthcare utilization was differed by insurance types in general hospitals. Health policy makers will need to prepare interventions to influence the healthcare utilization differences between insurance types.
From February to now 2024, there continues to be controversy over the expansion of admission number to medical school. Some of the controversy arises from a mix of present and future time points. In the present time point, the controversy over whether physicians are some shortages or not has various aspects. Some aspects are presented as evidence of the physician shortage and others as non-shortage. Also, the presenting evidence of shortage is being disputed, and so is the evidence of the contrary. This controversy over whether there is a shortage or not in the present time point makes it difficult to reach a consensus. In 10 years, the shortage of doctors will increase due to the rapid increase in the elderly population, so the admission number of medical schools will need to be increased. However, the increase must be such that there is minimal deterioration in the quality of medical education. More admission numbers should be allocated to medical schools with a high quality of medical education. This study suggests that large-scale medical schools increase the admission number by 20%-30%, and small-scale medical schools increase the admission number by 40%-50%, if so, the total increasing number is 760 to 1,066. If the 2,000-person increase is enforced, the quality of medical education must be carefully evaluated and the results should be reflected in adjusting the admission number of medical schools. In 20 years later, the admission number of medical schools will have to be reduced. This is because the physician supply is changing to a linear function and the physician demand (medical care demand) is changing to a quadratic function. Even if the current number is maintained, there will be an excess of doctors from 2048, so the medical school admission number must be reduced and its size will be reduced to about 2,000, a 30% reduction from the current number. Because the same reduction rate for all medical schools will result in many small-scale medical schools, the M&A (mergers and acquisitions) strategy should be considered with 40 medical schools and 12 Korean medical schools. In Korea, the main contributor to estimating physician demand is the change in population structure. Due to the rapid decrease in the total fertility rate, future population projections are uncertain. The recent rapid increase in healthcare utilization should be reexamined in the forecasting of physician demand. Since the various factors that affect the estimate of doctor supply and demand are unclear, the estimate of physician supply and demand must be continuously conducted every five years, and the Health Care Workforce Committee must be established and operated. The effects of increasing the admission number of medical schools should be evaluated and adjusted annually.
Objectives : The purpose of the study was to investigate the influencing factors of major and university choice in the changing environments that kick out the insincere universities keeping pace with the national policy. Methods : A self-reported questionnaire was completed by 177 subjects after receiving informed consents. The questionnaire consisted of general characteristics, influencing factors on university and department choice including multiple application. Chi-square test was used for analysis of the difference between early and regular admission. Results : Employment was the most important reason for choice of dental hygiene department that accounted for 96%. The access route for university information was college homepage for entrance information that accounted for 72.3% and 76.3% of applicants were advised by their parents for their choice for university. The information was mainly composed of school life(92.1%) and employment (81.9%). The applicants wanted to meet the students(58.8%) and to come in contact with the university homepage(57.1%). Early and regular applicants differed in reasons for college entrance(p=0.032), information delivery for major(p=0.013) and multiple application for entrance(p<0.01). Conclusions : University homepage and communication with the students will give much information to the applicants. So the university had better choose the homepage and communication for marketing strategy.
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