- A Case-control Study of Unexpected Readmission in a University Hospital.
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Hyohn Joo Oh, Seung Hum Yu
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Korean J Prev Med. 1999;32(3):289-296.
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- OBJECTIVES
This study describes the risk factors affecting the unexpected readmission of 261 patients who were discharged from a university hospital in Seoul. METHODS: This case-control study reviewed medical records of inpatients who had been discharged from a hospital between 1 August 1995 and 31 October 1995 after the treatment for general diseases. The cases were 68 patients who were readmitted unexpectedly within 28 days of discharge from an index stay, and the controls were 193 patients who were discharged without readmission during the study period. RESULTS: Logistic regression analysis results were as follows; Patients who had no operation during their hospital stay were more likely to be readmitted unexpectedly than patients who had operation. Patients who had 1 or 2 parts of their body being involved in treatment were more likely to be readmitted unexpectedly than patients who hand more than 3 parts of their body being involved in treatment. Patients who had complications after surgery were more likely to be readmitted unexpectedly than patients who had no complications. Insufficient discharge planning caused unexpected readmissions. CONCLUSIONS: Discharge planning education should be extended to health care providers. And the assessment of discharge planning should be evaluated. Readmission is often necessary for the treatment of related problems originating from initial hospitalization, which causes cost problems. Unexpected readmission is preventable and the models for readmission can serve as a valuable clinical tool for high risk patients.
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Summary
- Distribution af active physicians and their working areas after 10 years of graduation.
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Seung Hum Yu, Tae Yong Sohn, Hyohn Joo Oh
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Korean J Prev Med. 1996;29(3):429-438.
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- The geographical distribution of active physicians who graduated from medical schools before 1985 were studied. Those who had emigrated, hold non-medical jobs, are in the military service, or work as public health physicians and resident staff were excluded from the study. A total of 27,728 physicians were analyzed. Our studies have shown a relationship between the location of the medical schools from the which the physicians have graduated and the geographical regions in which they practice. A statistically significant number of physicians are working near the medical colleges from which they have graduated. That is, those who had graduated from medical schools located in the southern area of the country are presently working in the same region. This relationship was shown to be especially significant for older physicians and female doctors, who work around the area of the medical colleges from which they graduated.
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Summary
- Geographical distribution of physician manpower by specialty and care level.
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Seung Hum Yu, Sang Hyuk Jung, Byung Yool Cheon, Tae Yong Shn, Hyohn Joo Oh
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Korean J Prev Med. 1993;26(4):661-671.
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- In order to compare the geographical distribution of physician by level of medical care and specialty, a log linear model was applied to the annual registration data of the Korean Medical Association as of the end of December, 1991 which was supplemented from related institutions and adjusted with relevant sources. Those physicians in primary and secondary care institutions were not statistically significantly unevenly distributed by province-level catchment area. There were some differences in physician distribution among big cities, medium and small-sized cities, and counties; however, those physicians for primary care level were equitably distributed between cities and counties. Specialties for secondary care physicians were less evenly distributed in county areas than in city areas, and generalists are distributed more evenly in cities and counties than in big cities. There is a certain limitation due to underregistration in the annual physician registration to the Korean Medical Association; however, the geographical distribution of physicians has been improved quantitatively. It is strongly suggested that specialties and the level of medical care should be considered for further physician manpower studies.
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Summary
- The Projection of Medical Care Expenditure in View of Population Age Change.
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Seung Hum Yu, Sang Hyuk Jung, Jeung Mo Nam, Hyohn Joo Oh
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Korean J Prev Med. 1992;25(3):303-311.
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- It is very important to estimate the future medical care expenditure, because medical care expenditure escalation is a big problem not only in the health industry but also in the Korean economy today. This study was designed to project the medical care expenditure in view of population age change. The data of this study were the population projection data based on National Census Data (1990) of the National Statistical Office and the Statistical Reports of the Korea Medical Insurance Corporation. The future medical care expenditure was eatimated by the regression model and the optional simulation model. The significant results are as follows; 1. The future medical care expenditure will be 3,963 billion Won in the year 2000, 4,483 billion Won in 2010, and 4,826 billion Won in 2020, based on the 1990 market price considering only the population age change. 2. The proportion of the total medical care expenditure in the elderly over 65 will be 10. 4% in 2000, 13.5% in 2010, and 16.9% in 2020. 3. The future medical care expenditure will be 4,306 billion Won in the year 2000, 5,1101 billion Won in 2010, and 5, 699 billion Won in 2020 based on the 1990 market price considering the age structure change and the change of the case-cost estimated by the regression model. 4. When we consider the age-structure change and inflation compared with the preceding year, the future medical care expenditurein 2020 will be 21 trillion Won based on a 5% inflation rate, 42 trillion Won based on a 7.5% inflation rate, and 84 trillion Won based on a 10% inflation rate. Consideration of the aged (65 years old and over)will be essential to understand the acute increase of medical care expenditure due to changes in age structure of the population. Therefore, alternative policies and programs for the caring of the aged should be further studied.
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