Utilization of health insurance data in an environmental epidemiology

Q3 Medicine
J. Ha, Seongkyung Cho, Yongseung Shin
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引用次数: 7

Abstract

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.
健康保险数据在环境流行病学中的应用
在韩国,健康保险数据作为全民健康保险的材料。一般来说,健康保险数据可用于估计代表人口实际值的患病率或发病率。本研究的目的是将护理发作(EoC)的概念应用于环境流行病学领域的健康保险数据的利用,并通过对疾病过程和结果的不确定性评估提出一种改进的方法。方法在本研究中,我们引入EoC的概念,作为环境流行病学领域中使用健康保险数据的方法。通过不确定度评估,对健康保险数据应用EoC概念的过程和结果进行表征分析。结果本研究将EoC概念应用于中暑(《国际疾病分类》第十版,代码T67)。在应用EoC概念前后的结果比较中,我们观察到应用EoC概念后日常索赔偏差的减少。然后,我们对上下文、模型和输入不确定性进行了分类,并利用不确定性类型在三个维度上对这些不确定性进行了表征。结论本研究首次展示了利用健康保险数据构建环境流行病学研究事件数据的过程。本研究结果对环境流行病学研究中健康保险数据的处理具有一定的代表性。此外,这些结果可用于未来医疗保险数据的处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Health and Toxicology
Environmental Health and Toxicology Medicine-Public Health, Environmental and Occupational Health
CiteScore
2.50
自引率
0.00%
发文量
0
审稿时长
8 weeks
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