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http://dx.doi.org/10.4332/KJHPA.2013.23.2.152

Developing the Inpatient Sample for the National Health Insurance Claims Data  

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)
Publication Information
Health Policy and Management / v.23, no.2, 2013 , pp. 152-161 More about this Journal
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
Administrative data; National Health Insurance; Claims data; Inpatient; Sampling; Generality; Reliability; Validity;
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  • Reference
1 National Health Research Institutes. Researches of National Health Insurance claim database [Internet]. Miaoli County: National Health Research Institutes [cited 2013 May 20]. Available from: http://www.nhri.org.tw.
2 Agency for Healthcare Research and Quality. Design of the nationwide inpatient sample (NIS). Rockville (MD): Agency for Healthcare Research and Quality; 2005.
3 Agency for Healthcare Research and Quality. Introduction to the HCUP nationwide inpatient sample (NIS). Rockville (MD): Agency for Healthcare Research and Quality; 2007.
4 Health Insurance Review and Assessment Service. Guidelines for review and assessment for healthcare services of 2011. Seoul: Health Insurance Review and Assessment Service; 2011.
5 Health Insurance Review and Assessment Service. Manual: management of healthcare providers. Seoul: Health Insurance Review and Assessment Service; 2011.
6 Kim JY, Im JH, Kim HY. Development of risk adjustment and prediction methods for care episodes using National Health Insurance database. Seoul: Health Insurance Review and Assessment Service; 2007
7 Park BJ, Seong JH, Park GD Seo SW Kim SH, Studying on improving diagnosis codes in National Health Insurance claims data. Seoul: Health Insurance Review and Assessment Service; 2003.
8 Namkung P. Design and analysis of sample survey. 2nd ed. Seoul: Tamjin; 2007.