Validation of Cancer Diagnosis Based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 양민수 | - |
dc.contributor.author | 박민애 | - |
dc.contributor.author | 백종환 | - |
dc.contributor.author | 이경현 | - |
dc.contributor.author | 신지혜 | - |
dc.contributor.author | 김규웅 | - |
dc.contributor.author | 서화정 | - |
dc.contributor.author | 김영애 | - |
dc.date.accessioned | 2022-05-15T02:40:07Z | - |
dc.date.available | 2022-05-15T02:40:07Z | - |
dc.date.created | 2022-04-18 | - |
dc.date.issued | 2022-04 | - |
dc.identifier.issn | 1598-2998 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84301 | - |
dc.description.abstract | PurposeThis study aimed to assess the feasibility of operational definitions of cancer patients in conducting cancer-related studies using the claims data from the National Health Insurance Service (NHIS). Materials and MethodsCancer incidence data were obtained from the Korean Central Cancer Registry, the NHIS primary diagnosis, and from the rare and intractable disease (RID) registration program.ResultsThe operational definition with higher sensitivity for cancer patient verification was different by cancer type. Using primary diagnosis, the lowest sensitivity was found in colorectal cancer (91.5%; 95% confidence interval [CI], 91.7 to 92.0) and the highest sensitivity was found in breast cancer (97.9%; 95% CI, 97.8 to 98.0). With RID, sensitivity was the lowest in liver cancer (91.9%; 95% CI, 91.7 to 92.0) and highest in breast cancer (98.1%; 95% CI, 98.0 to 98.2). In terms of the difference in the date of diagnosis in the cancer registration data, > 80% of the patients showed a < 31-day difference from the RID definition. ConclusionBased on the NHIS data, the operational definition of cancer incidence is more accurate when using the RID registration program claims compared to using the primary diagnosis despite the relatively lower concordance by cancer type requires additional definitions such as treatment. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 대한암학회 | - |
dc.relation.isPartOf | Cancer Research and Treatment | - |
dc.title | Validation of Cancer Diagnosis Based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000789993400004 | - |
dc.identifier.doi | 10.4143/crt.2021.044 | - |
dc.identifier.bibliographicCitation | Cancer Research and Treatment, v.54, no.2, pp.352 - 361 | - |
dc.identifier.kciid | ART002830437 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85121319609 | - |
dc.citation.endPage | 361 | - |
dc.citation.startPage | 352 | - |
dc.citation.title | Cancer Research and Treatment | - |
dc.citation.volume | 54 | - |
dc.citation.number | 2 | - |
dc.contributor.affiliatedAuthor | 서화정 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | National Health Insurance Service | - |
dc.subject.keywordAuthor | Claim data | - |
dc.subject.keywordAuthor | Cohort | - |
dc.subject.keywordAuthor | Incidence | - |
dc.subject.keywordAuthor | Operational definition | - |
dc.subject.keywordAuthor | Administrative data | - |
dc.subject.keywordAuthor | Validation | - |
dc.relation.journalResearchArea | Oncology | - |
dc.relation.journalWebOfScienceCategory | Oncology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.