Background : To examine the problems involved in writing practice of death certificates, we compared the determination of underlying cause of death for vital statistics using recorded underlying cause of death in issued death statistics. Methods : We collected 688 mortality certificates issue in year of 2,000 from 3 university hospitals. And we also collected vital statistics from ministry of statistics. The causes of death were coded by experienced medical record specialists. And causes of death determined at ministry of statistics for national vital statistics were mapped to causes of death recorded at each death certificates. The rate that underlying causes of death for vital statistics were derived from underlying causes of death recorded at issued death certificates were analysed. Results : 64.5% of underlying cause of death for could be derived from underlying cause of death recorded at issued death certificates, 8.6% derived from intermediate cause of death, and 3.9% derived from direct cause of death. In 23% of cases, underlying cause of death could not be derived using issued death certificates. The rate that underlying cause of death for vital statistics could be derived from underlying cause of death recorded at death certificates was different between 3 university hospitals. And the rate was also different between death certificates and postmortem certificates. We classified the causes of death using 21 major categories. The rate was different between diseases or conditions that caused death too. Conclusion : When we examined the correctness of death certificate writing practice using above methods, correctness of writing could not be told as satisfactory. There was difference in correctness of writing between hospitals, between death certificates and postmortem certificates, and between diseases and conditions that caused death. With this results, we suggested some strategy to improve the correctness of death certificate writing practice.

Background: Although the number of cancer patients increase, the resources for cancer management are not increased. If the outpatient chemotherapy administration room is operated, the shift of patients from inpatient 10 outpatient is occurred. So the capacities for chemotherapy increased and the shifted rooms were occupied with new non-chemotherapy patients. The income of the hospital increased. The purpose of this study was to assess usefulness and cost-effectiveness of the outpatient-chemotherapy adminstration model. Method: There are six beds, two chairs and two nurses and one personnel in the outpatient chemotherapy room. The satisfaction study by patients/family and doctors and the cost analysis over 12 months, by comparing costs of chemotherapy administration at outpatient chemotherapy room with inpatient at ward and inpatient-nonchemotherapy at ward were done. Results: The 97.1 percent of patients/family and the 94.4 percent of doctor who involved chemotherapy were satisfied with outpatient chemotherapy administration. The 91.7% of doctors said there were no differences in treatment outcome between outpatient and inpatient chemotherapy administration. The average number of patients in outpatient chemotherapy room increased from 10.7 to 15.4 but in inpatient from 19.4 to 18.3. The average number of inpatient chemotherapy were not changed related to increase of the average number of outpatient chemotherapy. The profit between outpatient chemotherapy and inpatient chemotherapy administration was 45,344,710 won and the profit between outpatient chemotherapy and non chemotherapy treatment was -185,294,614 won. Conclusion: The outpatient chemotherapy administration model is good for patients/family, doctors and hospital partially. But the hypothesis described above was not correct. The process of cancer patients treatment were from diagnosis and treatment to first administration of chemotherapy. So the shift from inpatient to outpatient was not occurred. In economic aspect, the profit between outpatient chemotherapy and non chemotherapy treatment was in the red. As the level of health care fees was so low, the hospitals hesitate operating the room of outpatient chemotherapy. It is necessary to raise the level of health case fees for outpatient chemotherapy administration.

Objective : The aim of this study were to measure quality of life(QOL) in liver transplant recipients, to compare QOL between living donor liver transplant recipients and cadaveric liver transplant recipients and to investigate whether SF-36 may be used as a disease-specific instrument in liver transplant recipients. Methods : We conducted a single-center cross-sectional study of 133 LT recipients ages 13 to 65 years, all of whom had had Liver Transplantation(LT) at least 1 months previously. QOL was assessed using a self-completion questionnaire consisting of the Bang Whal Ran(1991) instruments and the 36-Item Short-Form Health Survey(SF-36) health status profile measure. We investigated whether the SF-36 instrument may be used as a disease-specific instrument in LT recipients. Individual scale scores range from 0 to 100, with higher score reflecting better health. Data on demographics, clinical status at pre transplantation 1 day, post transplantation clinical status, and graft function were collected to identify predictors of post transplantation QOL. Results : Standard measures for test-retest reliability, internal consistency, and discriminant and concurrent validity were examined. The reliability of the SF-36, as measured by test-retest correlation(Pearson coefficients: 0.729, p=0.002) and by internal consistency(Cronbach's alpha: 0.9431) exceeded conventional acceptability criteria. The correlation between domain scores of SF-36 and the Bang Whal Ran(l991) was clear and logical in that the clinical characteristics of SF-36 strongly correlated with the clinical component summary score of the Bang Whal Ran(l991)(r = 0.8155, P<.01). SF-36 scale scores were compared between Cadaveric Liver Transplant recipients and Living Donor Liver Transplant recipients. Donor types of post LT did not influence HRQOL(p>0.05). 87% of the liver transplant recipients were satisfied to get LT. Satisfaction of post LT showed significantly greater HRQOL(p<0.001). Conclusion : SF-36 is found reliable and valid. This study indicates thet Donor Type did not influence HRQOL after LT. The information gained from this study will help us to better define expectations and the clinical course after liver transplantation to patients and their families.

Background : Recently, we have experienced various changes in the healthcare environment. Healthcare organizations are facing a financial crisis due to more competitive relationships among themselves as well with low health insurance fees. The purposes of the current study were: (1) to develop a data warehouse-based system for evaluating and monitoring the case management activities, and (2) to measure and analyze its effects. Methods : In order to collect the data for the study, the database on discharged patients was utilized at a university hospital located in Seoul from June 1, 2002 through December 31, 2002. Initially, a data warehouse was built for the case management system. The case management activities were analyzed using structured methodology to establish the case management system. Results : The findings of this study were as follows: (1) A case management system was developed to make it possible to monitor of healthcare quality and resource utilization. The Case management System included monitoring functions regarding utilization reviews, critical pathways, and clinical indicators. (2) Utilizing the case management system, unplanned readmissions were documented among total discharged patients during two months from November 1, 2002 through December 31, 2002. The unplanned readmission rate was 2.3%(276 patients) in total of 11,960 discharged patients. Among them 81 patients(0.7% of total discharges, 29.3% of unplanned readmission) were readmitted to the same physician in charge under the same diagnosis. No significant differences were found in the demographic variables such as gender and age among the patients. (3) After implementing the case management system, 2.9% of average length of stay reduced. Applying cost-benefit analysis, the 2.9% reduction of length of stay represents net profit of ${\backslash}$ 279,592,000 in the year of 2004. In addition, applying value acceleration analysis, cumulative net benefit of ${\backslash}$ 1,481,000,000 was expected by the year of 2007. Also we were able to expect ${\backslash}$ 247,800,000 of cumulative benefit for the prospective 5 years in value linkage analysis. It represents average ${\backslash}$ 787,700,000 of pure net benefit a year. Conclusion : The value of present study would be not only implementing the knowledge management system into the existing case management activities, but also evaluating its effects and estimating its financial benefits. This study suggested that the case management system would be a supportive tool for monitoring and improving the quality of healthcare, and a cost-effective tool for increment of healthcare organization's financial benefit.