Accuracy of an administrative database for pancreatic cancer by international classification of disease 10th codes: A retrospective large-cohort study

World J Gastroenterol. 2019 Oct 7;25(37):5619-5629. doi: 10.3748/wjg.v25.i37.5619.

Abstract

Background: Korean National Health Insurance (NHI) claims database provides large-cohort. However, studies regarding accuracy of administrative database for pancreatic cancer (PC) have not been reported. We aimed to identify accuracy of NHI database regarding PC classified by international classification of disease (ICD)-10 codes.

Aim: To identify the accuracy and usefulness of administrative database in PC and the accurate ICD codes for PC with location.

Methods: Study and control groups were collected from 2003 to 2016 at Seoul National University Bundang Hospital. Cases of PC were identified in NHI database by international classification of diseases, 10th revision edition (ICD-10 codes) supported with V codes. V code is issued by medical doctors for covering 95% of medical cost by Korean government. According to pathologic reports, definite or possible diagnoses were defined using medical records, images, and pathology.

Results: A total of 1846 cases with PC and controls were collected. Among PC, only 410 (22.2%) cases were identified as specific cancer sites including head in 234 (12.7%) cases, tail in 104 (5.6%) cases and body in 72 (3.9%) cases. Among PC, 910 (49.3%) cases were diagnosed by definite criteria. Most of these were adenocarcinoma (98.0%). The rates of definite diagnosis of PC were highest in head (70.1%) followed by body (47.2%) and tail (43.3%). False-positive cases were pancreatic cystic neoplasm and metastasis to the pancreas. In terms of the overall diagnosis of PC, sensitivity, specificity, positive predictive value, and negative predictive value were 99.95%, 98.72%, 98.70%, and 99.95%, respectively. Diagnostic accuracy was similar both in terms of diagnostic criteria and tumor locations.

Conclusion: Korean NHI claims database collected according to ICD-10 code with V code for PC showed good accuracy.

Keywords: Accuracy; International classification of disease; Korean national health insurance; Pancreatic cancer; Sensitivity; Specificity.

Publication types

  • Evaluation Study

MeSH terms

  • Aged
  • Data Collection / methods*
  • Data Collection / statistics & numerical data
  • Database Management Systems / statistics & numerical data
  • Databases, Factual / statistics & numerical data*
  • Electronic Health Records / statistics & numerical data
  • Female
  • Hospitals, University / statistics & numerical data
  • Humans
  • International Classification of Diseases
  • Male
  • Middle Aged
  • Pancreas / pathology
  • Pancreatic Neoplasms / diagnosis*
  • Pancreatic Neoplasms / epidemiology
  • Pancreatic Neoplasms / pathology
  • Republic of Korea / epidemiology
  • Retrospective Studies
  • Sensitivity and Specificity