China ; epidemiology ; Heat Stroke ; epidemiology ; Humans

OBJECTIVES: In South Korea, health insurance data are used as material for the health insurance of national whole subject. In general, health insurance data could be useful for estimating prevalence or incidence rate that is representative of the actual value in a population. The purpose of this study was to apply the concept of episode of care (EoC) in the utilization of health insurance data in the field of environmental epidemiology and to propose an improved methodology through an uncertainty assessment of disease course and outcome. METHODS: In this study, we introduced the concept of EoC as a methodology to utilize health insurance data in the field of environmental epidemiology. The characterization analysis of the course and outcome of applying the EoC concept to health insurance data was performed through an uncertainty assessment. RESULTS: The EoC concept in this study was applied to heat stroke (International Classification of Disease, 10th revision, code T67). In the comparison of results between before and after applying the EoC concept, we observed a reduction in the deviation of daily claims after applying the EoC concept. After that, we categorized context, model, and input uncertainty and characterized these uncertainties in three dimensions by using uncertainty typology. CONCLUSIONS: This study is the first to show the process of constructing episode data for environmental epidemiological studies by using health insurance data. Our results will help in obtaining representative results for the processing of health insurance data in environmental epidemiological research. Furthermore, these results could be used in the processing of health insurance data in the future.
Classification ; Epidemiologic Studies ; Epidemiology* ; Episode of Care ; Heat Stroke ; Incidence ; Insurance, Health* ; Korea ; Prevalence ; Uncertainty

OBJECTIVES: In South Korea, health insurance data are used as material for the health insurance of national whole subject. In general, health insurance data could be useful for estimating prevalence or incidence rate that is representative of the actual value in a population. The purpose of this study was to apply the concept of episode of care (EoC) in the utilization of health insurance data in the field of environmental epidemiology and to propose an improved methodology through an uncertainty assessment of disease course and outcome. METHODS: In this study, we introduced the concept of EoC as a methodology to utilize health insurance data in the field of environmental epidemiology. The characterization analysis of the course and outcome of applying the EoC concept to health insurance data was performed through an uncertainty assessment. RESULTS: The EoC concept in this study was applied to heat stroke (International Classification of Disease, 10th revision, code T67). In the comparison of results between before and after applying the EoC concept, we observed a reduction in the deviation of daily claims after applying the EoC concept. After that, we categorized context, model, and input uncertainty and characterized these uncertainties in three dimensions by using uncertainty typology. CONCLUSIONS: This study is the first to show the process of constructing episode data for environmental epidemiological studies by using health insurance data. Our results will help in obtaining representative results for the processing of health insurance data in environmental epidemiological research. Furthermore, these results could be used in the processing of health insurance data in the future.
Classification ; Epidemiologic Studies ; Epidemiology* ; Episode of Care ; Heat Stroke ; Incidence ; Insurance, Health* ; Korea ; Prevalence ; Uncertainty

PURPOSE: To evaluate the effect of heat wave on emergency department (ED) visits due to heat related illness, we developed an ED based active surveillance system. We want to identify epidemiology of ED visits due to heat related illness and determine the effect of heat index on daily ED visits due to heat related illness. METHODS: We developed an ED based active surveillance system for adults who visited the ED due to heat stroke, heat exhaustion, heat syncope, heat edema, and heat cramp. We collected demographic and clinical variables, risk factors, and heat index by standardized registry on the webpage. We operated the surveillance into 16 emergency departments in Daegu City from June to September 2011. We analyzed epidemiologic variables descriptively and assessed the effect of heat index on the number of daily ED visits by multivariate Poisson regression analysis. RESULTS: During the study period, 34 cases were registered and nine cases were heat stroke. Heat stroke patients were older, and had more unemployment status than those with other heat related illness (p<0.05). More ED visits due to heat related illness were observed during the danger period than during the cool period, classified by heat index severity (Adjusted odds ratio: 1.72, 95% CI: 1.33-2.23). Increasing heat index by one degree caused more ED visits due to heat related illness (Adjusted incident rate ratio: 1.13, 95% CI: 1.07-1.19). CONCLUSION: We developed an ED based active surveillance system and observed more elderly persons and lower educational level in patients with heat stroke. In addition, increase in heat index significantly affected more daily ED visits due to heat related illness.
Adult ; Aged ; Daegu ; Edema ; Emergency Service, Hospital* ; Epidemiology ; Extreme Heat ; Heat Exhaustion ; Heat Stress Disorders ; Heat Stroke ; Hot Temperature* ; Humans ; Infrared Rays ; Odds Ratio ; Public Health Surveillance ; Risk Factors ; Syncope ; Unemployment

OBJECTIVES: Changes in air temperature and its relation to ambulance transports due to heat stroke in all 47 prefectures, in Japan were evaluated. METHODS: Data on air temperature were obtained from the Japanese Meteorological Agency. Data on ambulance transports due to heat stroke was directly obtained from the Fire and Disaster Management Agency, Japan. We also used the number of deaths due to heat stroke from the Ministry of Health, Labour and Welfare, Japan, and population data from the Ministry of Internal Affairs and Communications. Chronological changes in parameters of air temperature were analyzed. In addition, the relation between air temperature and ambulance transports due to heat stroke in August 2010 was also evaluated by using an ecological study. RESULTS: Positive and significant changes in the parameters of air temperature that is, the mean air temperature, mean of the highest air temperature, and mean of the lowest air temperature were noted in all 47 prefectures. In addition, changes in air temperature were accelerated when adjusted for observation years. Ambulance transports due to heat stroke was significantly correlated with air temperature in the ecological study. The highest air temperature was significantly linked to ambulance transports due to heat stroke, especially in elderly subjects. CONCLUSIONS: Global warming was demonstrated in all 47 prefectures in Japan. In addition, the higher air temperature was closely associated with higher ambulance transports due to heat stroke in Japan.
Age Factors ; Aged ; Ambulances/statistics & numerical data ; Female ; Heat Stroke/*epidemiology/etiology ; Hot Temperature/*adverse effects ; Humans ; Japan/epidemiology ; Male ; Middle Aged ; Temperature

OBJECTIVES: This study was conducted to investigate the relationship between heat-related illnesses developed in the summer of 2012 and temperature. METHODS: The study analyzed data generated by a heat wave surveillance system operated by the Korea Centers for Disease Control and Prevention during the summer of 2012. The daily maximum temperature, average temperature, and maximum heat index were compared to identify the most suitable index for this study. A piecewise linear model was used to identify the threshold temperature and the relative risk (RR) above the threshold temperature according to patient characteristics and region. RESULTS: The total number of patients during the 3 months was 975. Of the three temperature indicators, the daily maximum temperature showed the best goodness of fit with the model. The RR of the total patient incidence was 1.691 (1.641 to 1.743) per 1degrees C after 31.2degrees C. The RR above the threshold temperature of women (1.822, 1.716 to 1.934) was greater than that of men (1.643, 1.587 to 1.701). The threshold temperature was the lowest in the age group of 20 to 64 (30.4degrees C), and the RR was the highest in the > or =65 age group (1.863, 1.755 to 1.978). The threshold temperature of the provinces (30.5degrees C) was lower than that of the metropolitan cities (32.2degrees C). Metropolitan cities at higher latitudes had a greater RR than other cities at lower latitudes. CONCLUSIONS: The influences of temperature on heat-related illnesses vary according to gender, age, and region. A surveillance system and public health program should reflect these factors in their implementation.
Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Cities ; Female ; Heat Stroke/*epidemiology ; Humans ; Incidence ; Linear Models ; Male ; Middle Aged ; Patients/*statistics & numerical data ; Republic of Korea/epidemiology ; Seasons ; Sex Factors ; Temperature ; Young Adult