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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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.
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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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