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Nationwide analysis of treatment patterns for Korean breast cancer survivors using National Health Insurance Service Data

  • Study of Multi-disciplinARy Teamwork of breast cancer survivorSHIP (SMARTSHIP) Group
  • University of Ulsan
  • Soonchunhyang University
  • National Health Insurance Corporation Ilsan Hospital

Research output: Contribution to journalJournal articlepeer-review

Abstract

Background: The National Health Insurance Service (NHIS) established a healthcare claim database for all Korean citizens. This study aimed to analyze the NHIS data and investigate the patterns of breast cancer treatments. Methods: We constructed a retrospective female breast cancer cohort by analyzing annual incident cases. The annual number of newly diagnosed female breast cancer was compared between the NHIS data and Korea National Cancer Incidence Database (KNCIDB). The annual treatment patterns including surgery, chemotherapy, radiation therapy, endocrine therapy and targeted therapy were analyzed. Results: A total of 148,322 women with newly diagnosed invasive breast cancer during 2006-2014 was identified. The numbers of newly diagnosed invasive breast cancer cases were similar between the NHIS data and KNCIDB, which demonstrated a strong correlation (r = 0.995; P < 0.001). The age distribution of the breast cancer cases in the NHIS data and KNCIDB also showed a strong correlation (r = 1.000; P < 0.001). About 85% of newly diagnosed breast cancer patients underwent operations. Although the proportions of chemotherapy use have not changed during 2006-2014, the total number of chemotherapy prescriptions sharply increased during this period. The proportions of radiotherapy and anti-hormonal therapy increased. Among the anti-hormonal agents, tamoxifen was the most frequently prescribed medication, and letrozole was the most preferred endocrine treatment in patients aged ≥ 50 years. Conclusion: Along with the increased breast cancer incidence in Korea, the frequencies of breast cancer treatments have increased. The NHIS data can be a feasible data source for future research.

Original languageEnglish
Article numbere276
JournalJournal of Korean Medical Science
Volume33
Issue number44
DOIs
StatePublished - 2018.10.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast Neoplasms
  • Database
  • Epidemiology
  • Incidence
  • Population

Quacquarelli Symonds(QS) Subject Topics

  • Medicine

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