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Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea
Surveillance remains an important tool for timely outbreak detection and response. Many countries, including Korea, have established national infectious disease surveillance systems with clinical notification. We aimed to evaluate the National Health Insurance Claims-based Surveillance (NHICS) compa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584579/ https://www.ncbi.nlm.nih.gov/pubmed/31217476 http://dx.doi.org/10.1038/s41598-019-45409-3 |
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author | Jung, Jaehun Im, Jae Hyoung Ko, Young-Jin Huh, Kyungmin Yoon, Chang-gyo Rhee, Chulwoo Kim, Young-Eun Go, Dun-Sol Kim, Arim Jung, Yunsun Radnaabaatar, Munkhzul Yoon, Seok-Jun |
author_facet | Jung, Jaehun Im, Jae Hyoung Ko, Young-Jin Huh, Kyungmin Yoon, Chang-gyo Rhee, Chulwoo Kim, Young-Eun Go, Dun-Sol Kim, Arim Jung, Yunsun Radnaabaatar, Munkhzul Yoon, Seok-Jun |
author_sort | Jung, Jaehun |
collection | PubMed |
description | Surveillance remains an important tool for timely outbreak detection and response. Many countries, including Korea, have established national infectious disease surveillance systems with clinical notification. We aimed to evaluate the National Health Insurance Claims-based Surveillance (NHICS) compared to conventional passive report-based National Infectious Diseases Surveillance (NIDS). Reported to claimed cases ratios (R/C ratio) were evaluated from monthly notifiable disease cases captured by NIDS and NHICS. The relationships between 26 infectious diseases and each surveillance system were analysed using Pearson’s correlation analysis and linear regression. There was an overall increase in R/C ratio from 2010–2017 (0.37 to 0.78). In 22 infectious diseases, there was a correlation between NIDS and NHICS. Moreover, claim-based surveillance showed less fluctuating disease incidence rates than report-based surveillance for specific infectious diseases, such as varicella, mumps, and scarlet fever. However, for infectious diseases with episodic outbreaks or low incidence, it was difficult to assess NHICS usefulness. Claim-based surveillance is less affected by limitations of conventional report-based surveillance systems, such as reporting rate. Given delays in claim systems, a claim-based surveillance is expected to be complementary to conventional systems for the detection of various infectious diseases with the advancement of bio-information technology. |
format | Online Article Text |
id | pubmed-6584579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65845792019-06-26 Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea Jung, Jaehun Im, Jae Hyoung Ko, Young-Jin Huh, Kyungmin Yoon, Chang-gyo Rhee, Chulwoo Kim, Young-Eun Go, Dun-Sol Kim, Arim Jung, Yunsun Radnaabaatar, Munkhzul Yoon, Seok-Jun Sci Rep Article Surveillance remains an important tool for timely outbreak detection and response. Many countries, including Korea, have established national infectious disease surveillance systems with clinical notification. We aimed to evaluate the National Health Insurance Claims-based Surveillance (NHICS) compared to conventional passive report-based National Infectious Diseases Surveillance (NIDS). Reported to claimed cases ratios (R/C ratio) were evaluated from monthly notifiable disease cases captured by NIDS and NHICS. The relationships between 26 infectious diseases and each surveillance system were analysed using Pearson’s correlation analysis and linear regression. There was an overall increase in R/C ratio from 2010–2017 (0.37 to 0.78). In 22 infectious diseases, there was a correlation between NIDS and NHICS. Moreover, claim-based surveillance showed less fluctuating disease incidence rates than report-based surveillance for specific infectious diseases, such as varicella, mumps, and scarlet fever. However, for infectious diseases with episodic outbreaks or low incidence, it was difficult to assess NHICS usefulness. Claim-based surveillance is less affected by limitations of conventional report-based surveillance systems, such as reporting rate. Given delays in claim systems, a claim-based surveillance is expected to be complementary to conventional systems for the detection of various infectious diseases with the advancement of bio-information technology. Nature Publishing Group UK 2019-06-19 /pmc/articles/PMC6584579/ /pubmed/31217476 http://dx.doi.org/10.1038/s41598-019-45409-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jung, Jaehun Im, Jae Hyoung Ko, Young-Jin Huh, Kyungmin Yoon, Chang-gyo Rhee, Chulwoo Kim, Young-Eun Go, Dun-Sol Kim, Arim Jung, Yunsun Radnaabaatar, Munkhzul Yoon, Seok-Jun Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea |
title | Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea |
title_full | Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea |
title_fullStr | Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea |
title_full_unstemmed | Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea |
title_short | Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea |
title_sort | complementing conventional infectious disease surveillance with national health insurance claims data in the republic of korea |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584579/ https://www.ncbi.nlm.nih.gov/pubmed/31217476 http://dx.doi.org/10.1038/s41598-019-45409-3 |
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