J Korean Med Sci.  2018 Dec;33(53):e343. 10.3346/jkms.2018.33.e343.

Building Linked Big Data for Stroke in Korea: Linkage of Stroke Registry and National Health Insurance Claims Data

Affiliations
  • 1Department of Neurology, Seoul National University Hospital, Seoul, Korea. bwyoon@snu.ac.kr
  • 2Clinical Research Center, Asan Medical Center, University of Ulsan, Seoul, Korea.
  • 3Department of Bigdata, Health Insurance Review and Assessment Service, Wonju, Korea.
  • 4Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea.

Abstract

BACKGROUND
Linkage of public healthcare data is useful in stroke research because patients may visit different sectors of the health system before, during, and after stroke. Therefore, we aimed to establish high-quality big data on stroke in Korea by linking acute stroke registry and national health claim databases.
METHODS
Acute stroke patients (n = 65,311) with claim data suitable for linkage were included in the Clinical Research Center for Stroke (CRCS) registry during 2006-2014. We linked the CRCS registry with national health claim databases in the Health Insurance Review and Assessment Service (HIRA). Linkage was performed using 6 common variables: birth date, gender, provider identification, receiving year and number, and statement serial number in the benefit claim statement. For matched records, linkage accuracy was evaluated using differences between hospital visiting date in the CRCS registry and the commencement date for health insurance care in HIRA.
RESULTS
Of 65,311 CRCS cases, 64,634 were matched to HIRA cases (match rate, 99.0%). The proportion of true matches was 94.4% (n = 61,017) in the matched data. Among true matches (mean age 66.4 years; men 58.4%), the median National Institutes of Health Stroke Scale score was 3 (interquartile range 1-7). When comparing baseline characteristics between true matches and false matches, no substantial difference was observed for any variable.
CONCLUSION
We could establish big data on stroke by linking CRCS registry and HIRA records, using claims data without personal identifiers. We plan to conduct national stroke research and improve stroke care using the linked big database.

Keyword

Big Data; Data Linkage; Stroke Registry; National Health Claim Data

MeSH Terms

Delivery of Health Care
Humans
Information Storage and Retrieval
Insurance, Health
Korea*
Male
National Health Programs*
National Institutes of Health (U.S.)
Parturition
Stroke*
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