Validation of Cancer Diagnosis Based on the National Health Insurance Service Database versus the National Cancer Registry Database in Korea
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참고문헌
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초록
Purpose: This 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 methods: Cancer incidence data were obtained from the Korean Central Cancer Registry, the NHIS primary diagnosis, and from the rare and intractable disease (RID) registration program. Results: The 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. Conclusion: Based 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.
Abstract
Purpose: This 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 methods: Cancer incidence data were obtained from the Korean Central Cancer Registry, the NHIS primary diagnosis, and from the rare and intractable disease (RID) registration program. Results: The 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. Conclusion: Based 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.
참고문헌 (18)
- Annual report of cancer statistics in Korea in 2017, "Ministry of Health and Welfare", Ministry of Health and Welfare, ~ (2018)
- Wu JW, "Identification of incident pancreatic cancer in Ontarioadministrative health data: a validation study", Pharmacoepidemiol Drug Saf, 29(Suppl 1), pp.78~85 (2020)
- Ajrouche A, "Evaluation ofalgorithms to identify incident cancer cases by using French health administrative databases", Pharmacoepidemiol Drug Saf, 26, pp.935~944 (2017)
- Ranopa M, "The identification of incident cancers in UK primary care databases : a systematic review", Pharmacoepidemiol Drug Saf, 24, pp.11~18 (2015)
- Dregan A, "Validity of cancer diagnosis in a primary care database compared with linked cancer registrations in England. Population-based cohort study", Cancer Epidemiol, 36, pp.425~429 (2012)
- Lund H, "Hydatidiform mole : validity of the registration in the Danish National Patient Registry, the Danish Cancer Registry, and the Danish Pathology Registry 1999-2009", Clin Epidemiol, 10, pp.1223~1231 (2018)
- Sarfati D, "Cancer-specific administrative data-based comorbidity indices provided valid alternative to Charlson and National Cancer Institute Indices", J Clin Epidemiol, 67, pp.586~595 (2014)
- Kao WH, "Validity of cancer diagnosis in the National Health Insurance database compared with the linked National Cancer Registry in Taiwan", Pharmacoepidemiol Drug Saf, 27, pp.1060~1066 (2018)
- Stolzenbach LF, "External beam radiation therapyimproves survival in low-volume metastatic prostate cancerpatients : a North American population-based study", ProstateCancer Prostatic Dis, 24, pp.253~260 (2021)
- Wenzel HH, "Survival of patients with early-stage cervical cancer after abdominal or laparoscopic radical hysterectomy : a nationwide cohort study and literature review", Eur JCancer, 133, pp.14~21 (2020)
- 김영애, "Socioeconomic Burden of Cancer in Korea from 2011 to 2015", Cancer Research and Treatment, 52(3), pp.896~906 (2020), 대한암학회[DOI]
- A study on the manipulative definition of disease based onNational Healthcare Insurance claims, "Kim DW", NationalHealthcare Insurance Service Ilsan Hospital, ~ (2017)
- 정일용, "Nationwide Analysis of Treatment Patterns for Korean Breast Cancer Survivors Using National Health Insurance Service Data", Journal of Korean Medical Science, 33(44), pp.1~10 (2018), 대한의학회
- Choi H, "Mortalitydifferences by surgical volume among patients with stomachcancer : a threshold for a favorable volume-outcome relationship", World J Surg Oncol, 15, pp.134~ (2017)
- Tsai CH, "Effect of time intervalfrom diagnosis to treatment for non-small cell lung canceron survival : a national cohort study in Taiwan", BMJ Open, 10, pp.e034351~ (2020)
- Chen CP, "Effect of time interval from diagnosis to treatment for cervical cancer on survival : anationwide cohort study", PLoS One, 14, pp.e0221946~ (2019)
- Kim M, "The effect of the look-back period for estimating incidenceusing administrative data", BMC Health Serv Res, 20, pp.166~ (2020)
- Couris CM, "Breast cancer incidence using administrative data : correction with sensitivity and specificity", J Clin Epidemiol, 62, pp.660~666 (2009)