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Inundation Analysis of Coastal Area Considering Climate Change
Kim, Kyungtae,Kim, Yonsoo,Kim, Soojun,Choi, Changhyun,Kim, Hung Soo 한국방재학회 2015 한국방재학회 학술발표대회논문집 Vol.14 No.-
Future climate change is expected to raise the mean sea level of Korea by about 0.85m-1.29m. Consequently, flood damage in the coastal area would likewise increase and the scale of damage would also become much larger. Various researches have been conducted to efficiently respond to natural disasters caused by climate change. However, there haven’t been many researches related to the analysis and evaluation of coastal area flood vulnerability caused by the rise in sea level. Hence, this study selected Gilsan River basin, a branch of Geum River as the subject matter and tried to evaluate the effect of sea level rise caused by climate change on the coastal area and adjacent rivers. This study also calculated the change in water quantity in the coastal area by considering the sea level rise as well as the future precipitation according to climate change. It also prepared/compared the relevant flood inundation map. The study result showed that the overall flood level increased as the elevation of the water surface rose due to the rise in sea level. In addition, the extent of increase in flood level caused by sea level rise was greater at a location nearer the outlet and it was smaller at a place farther from the outlet. Based on this result, it could be verified that in coastal rivers, climate change can have an effect not only on the precipitation increase but also on the flood water level and flood inundation due to the rise in sea level. The result of this study could be used as basic data for creating technology that would assess the flood vulnerability of coastal urban regions and evaluate preventive measures for coastal disaster risks.
Predictors and outcomes of unplanned readmission to a different hospital
Kim, Hongsoo,Hung, William W.,Paik, Myunghee Cho,Ross, Joseph S.,Zhao, Zhonglin,Kim, Gi-Soo,Boockvar, Kenneth International Society for Quality in Health Care 2015 International journal for quality in health care Vol.27 No.6
<P><B>Objectives</B></P><P>To examine patient, hospital and market factors and outcomes associated with readmission to a different hospital compared with the same hospital.</P><P><B>Design</B></P><P>A population-based, secondary analysis using multilevel causal modeling.</P><P><B>Setting</B></P><P>Acute care hospitals in California in the USA.</P><P><B>Participants</B></P><P>In total, 509 775 patients aged 50 or older who were discharged alive from acute care hospitals (index hospitalizations), and 59 566 who had a rehospitalization within 30 days following their index discharge.</P><P><B>Intervention</B></P><P>No intervention.</P><P><B>Main Outcome Measures(s)</B></P><P>Thirty-day unplanned readmissions to a different hospital compared with the same hospital and also the costs and health outcomes of the readmissions.</P><P><B>Results</B></P><P>Twenty-one percent of patients with a rehospitalization had a different-hospital readmission. Compared with the same-hospital readmission group, the different-hospital readmission group was more likely to be younger, male and have a lower income. The index hospitals of the different-hospital readmission group were more likely to be smaller, for-profit hospitals, which were also more likely to be located in counties with higher competition. The different-hospital readmission group had higher odds for in-hospital death (8.1 vs. 6.7%; <I>P</I> < 0.0001) and greater readmission hospital costs ($15 671.8 vs. $14 286.4; <I>P</I> < 0.001) than the same-hospital readmission group.</P><P><B>Conclusions</B></P><P>Patient, hospital and market characteristics predicted different-hospital readmissions compared with same-hospital readmissions. Mortality and cost outcomes were worse among patients with different-hospital readmissions. Strategies for better care coordination targeting people at risk for different-hospital readmissions are necessary.</P>