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Developing the Inpatient Sample for the National Health Insurance Claims Data

입원 환자 표본 개발에 관한 연구: 국민건강보험 청구자료를 중심으로

  • Kim, Logyoung (Health Insurance Review and Assessment Service) ;
  • Sakong, Jin (Department of Economics, Hanyang University) ;
  • Kim, Yoon (Health Insurance Review and Assessment Service) ;
  • Kim, Sera (Health Insurance Review and Assessment Service) ;
  • Kim, Sookyeong (Health Insurance Review and Assessment Service) ;
  • Tchoe, Byongho (Korea Institute for Health and Social Affairs) ;
  • Jeong, Hyoungsun (Department of Health Administration, Yonsei University) ;
  • Lee, Taerim (Department of Information Statistics, Korea National Open University)
  • 김록영 (건강보험심사평가원) ;
  • 사공진 (한양대학교 경제학부) ;
  • 김윤 (건강보험심사평가원) ;
  • 김세라 (건강보험심사평가원) ;
  • 김수경 (건강보험심사평가원) ;
  • 최병호 (한국보건사회연구원) ;
  • 정형선 (연세대학교 보건행정학과) ;
  • 이태림 (한국방송통신대학교 정보통계학과)
  • Received : 2013.02.27
  • Accepted : 2013.04.20
  • Published : 2013.06.30

Abstract

Korea has a single National Health Insurance program and all citizens are covered under this program, accounting 97% of the population, approximately 50 million people. Claims submitted by Health care providers are reviewed by Health Insurance Review and Assessment (HIRA) for the reimbursement. HIRA database contains not only individual beneficiary's information, but also healthcare service information such as diagnosis, procedures, prescriptions and tests for them. HRA database has gained attention as importance source for research due to its rich healthcare information and the demand of HIRA database has increased. Due to its tremendous size, however, researchers have had problems in accessing the database to conduct research. To meet this demand, we conducted a study to develop the inpatient sample data from HIRA database for research. This study has two purposes: 1) to determine a needed sample size; 2) to test reliability and validity of the sample data. We determined an adequate sample size to ensure representativeness and generality with additional consideration for convenience of calculation. The minimum sample size was 729,904 for the generality, and 488,861 for representativeness. After considering the convenience of calculation, our final sample size was 13% of the population, which was about 7.7 million beneficiaries. Age (5 years interval) and gender were used as stratification variables for sampling. In order to examine whether this sample data appropriately reflect population, we tested the reliability and validity of the sample data. From the sample data, we computed average expenditure of total claims per inpatient for 2011, frequency of top 30 disease, estimation of the number of stroke patients from the sample data, and then compared them to those from the population. Results confirmed reliability and validity of the sample data.

Keywords

References

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