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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 환경독성보건학회 Environmental Analysis Health and Toxicology Environmental Health and Toxicology Vol.30
- 발행연도
- 2015.12
- 수록면
- 103 - 109 (7page)
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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.
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.
목차
Introduction
Materials and Methods
Results
Discussion
References
참고문헌 (11)
참고문헌 신청
Park BJ / 2007 / Health insurance claims data characteristics and research utilization considerations / Korean Academy of Medical Sciences. Proceedings of workshop for the activation of medical science research :33~48
김록영 / 2013 / 입원 환자 표본 개발에 관한 연구: 국민건강보험 청구자료를 중심으로 / 보건행정학회지 23(2):152~161
Hornbrook MC. / 1985 / Health care episodes : definition, measurement and use / Med Care Rev 42(2):163~218
Wingert TD / 1996 / Constructing episodes of care from encounter and claims data: some methodological issues / Inquiry 32(4):430~443
Walker WE. / 2003 / Defining uncertainty. A conceptual basis for uncertainty management in model-based decision support / Integr Assess 4(1):5~17
김록영 / 2013 / 입원 환자 표본 개발에 관한 연구: 국민건강보험 청구자료를 중심으로 / 보건행정학회지 23(2):152~161
Hornbrook MC. / 1985 / Health care episodes : definition, measurement and use / Med Care Rev 42(2):163~218
Wingert TD / 1996 / Constructing episodes of care from encounter and claims data: some methodological issues / Inquiry 32(4):430~443
Walker WE. / 2003 / Defining uncertainty. A conceptual basis for uncertainty management in model-based decision support / Integr Assess 4(1):5~17
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UCI(KEPA) : I410-ECN-0101-2017-539-000798908