Utilization of health insurance data in an environmental epidemiology

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.

Utilization of health insurance data in an environmental epidemiology

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.

Improvement of Underlying Cause of Death Determination Using Health Related Data Bases from Death Certificates in Which Causes of Death Recorded as Cardiopulmonary Arrest, Nonspecific Symptom, Senility / 대한의료정보학회지

We performed this study to show that it is possible to identify underlying causes of de ath not identif ied by issued death certificates by mapping and adding information from National Database(DB) such as health insurance DB or KUHDDS(Korea Uniform Hospital Discharge Data Sets) with death certificates. We collected 2,986 death certificates issued at Cheonan, Asan provinces and 458 death certificates issued at 3 general hospitals at Chenoan city. Mapping of death certificate data with health insurance DB was possible in 77.4%(Cheonan, Asan provinces) and 87.3%(3 general hospitals at Cheonan city) of cases. Rate of underlying causes of death identified from records on death certificates before mapping was 64.4% and 68.3% each. After mapping and adding information from health insurance DB, the rate increased to 79.8% and 79.2% each. This work was done by skilled medical record officers. We also selected death certificates which recorded the causes of deaths as old age, cardiopulmonary arrest, or nonspecific symptoms. The possibility was shown that old age, ca rdiopulmonary a rrest, and nonspecific symptoms can be corrected by information from mapped health insurance DB and KUHDDS. With these results, we discussed some cause of incorrect recording practices. And we suggested simple but practical method to improve the correctness of death certificates; there is a possibility that comparing death certificates with KUHDDS before it is issued, where available, can improve the quality of death certificate.

Understanding the Occurrence of Lung Cancer in Foundry Workers through Health Insurance Data / 예방의학회지

CONCLUSIONS: To investigate the difference in the occurrence of lung cancer between foundry workers and non-foundry workers by comparing the number of workers diagnosed with lung cancer through health insurance data. METHODS: The study population was comprised of 28,884 workers who had undergone at least one general or special medical examination between January 1995 and December 1997 at the occupational health center. All of the subjects had health insurance during this period. We combined the medical examination data with the health insurance data to compare the number of foundry workers diagnosed with lung cancer and the number of non-foundry workers diagnosed with lung cancer. RESULTS: Seven workers were diagnosed with lung cancer among the 1,591 foundry workers, compared to twelve workers among the 27,293 non-foundry workers (odds ratio: 10.04, 95% confidence interval: 3.95-25.55). The seven foundry workers diagnosed with lung cancer were all exposed to dust, and six out these seven workers were engaged in finishing or shake-out processes. CONCLUSIONS: Although the information for this study was obtained from health insurance data, which has limitations such as accuracy and completeness, the number of foundry workers diagnosed with lung cancer was significantly higher than that of non-foundry workers. Therefore, a well-designed cohort study should be followed to confirm the higher lung cancer rates in foundry workers.