Estimating the disease burden of lung cancer attributable to residential radon exposure in Korea during 2006–2015: A socio-economic approach

Juhwan Noh, Heeseon Jang, Jaelim Cho, Dae Ryong Kang, Tae Hyun Kim, Dong Chun Shin, Changsoo Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Estimating the lung cancer disease burden can provide evidence for public health practitioners, researchers, and policymakers. This study uses claim data from lung cancer patients for 2006–2015 from the Korean National Health Insurance Service to estimate the lung cancer burdens attributable to residential radon in Korea using disability-adjusted life years (DALY) and patients' annual economic burden with societal perspectives using the cost-of-illness (COI) method. The number of patients increased during our study period (from 35,866 to 59,168). The disease burden and that attributable to residential radon, respectively, increased from 517.57 to 695.74 and 64.62 (95%; CIs 61.33–67.69) to 86.99 (95%; CIs 82.7–91.1) DALYs per 100,000 patients. The percentage of years lost due to disability among the DALY doubled from 8% to 17%. The cost for all the patients was US$2.33 billion, with US$292 (95%; CIs 278–306) million attributable to residential radon. During the last decade, the lung cancer disease burden increased by 1.34 times, with a doubled percentage of non-fatal burden and average annual growth rate of 9.5% of the total cost. Hence, the burden and cost of lung cancer in Korean provinces have been steadily increasing. The findings could be used as input data for future cost-effectiveness analysis of policies regarding radon reduction.

Original languageEnglish
Article number141573
JournalScience of the Total Environment
Volume749
DOIs
Publication statusPublished - 2020 Dec 20

Bibliographical note

Funding Information:
This study used NHIS-NSC data (NHIS-2016-1-168; NHIS-2016-2-037; NHIS-2016-2-038) provided by the National Health Insurance Service (NHIS). The dataset and code are not available for replication because the Korean NHIS database was used under a data user agreement. The authors are also grateful to Dr. Hyunmin Kim who provided helpful advice on various technical issues examined in this paper. This work was supported by the Korea Ministry of Environment as a part of the Environmental Health Action Program [grant number 2015001350002]. The funding source had no involvement in the study design, collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Funding Information:
This work was supported by the Korea Ministry of Environment as a part of the Environmental Health Action Program [grant number 2015001350002 ]. The funding source had no involvement in the study design, collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Publisher Copyright:
© 2020 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

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