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Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea.

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Title: Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea.
Authors: Choi, HeeKyoung, Choi, Won Suk, Han, Euna
Source: Scientific Reports; 5/27/2021, Vol. 11 Issue 1, p1-10, 10p
Subject Terms: DRUG utilization, ANTITUSSIVE agents, INFLUENZA treatment, ANTIPYRETICS, ANTIGENIC shift, NATIONAL health insurance
Abstract: Influenza is an important public health concern. We propose a new real-time influenza-like illness (ILI) surveillance system that utilizes a nationwide prospective drug utilization monitoring in Korea. We defined ILI-related claims as outpatient claims that contain both antipyretic and antitussive agents and calculated the weekly rate of ILI-related claims, which was compared to weekly ILI rates from clinical sentinel surveillance data during 2014–2018. We performed a cross-correlation analysis using Pearson's correlation, time-series analysis to explore actual correlations after removing any dubious correlations due to underlying non-stationarity in both data sets. We used the moving epidemic method (MEM) to estimate an absolute threshold to designate potential influenza epidemics for the weeks with incidence rates above the threshold. We observed a strong correlation between the two surveillance systems each season. The absolute thresholds for the 4-years were 84.64 and 86.19 cases per 1000claims for claims data and 12.27 and 16.82 per 1000 patients for sentinel data. The epidemic patterns were more similar in the 2016–2017 and 2017–2018 seasons than the 2014–2015 and 2015–2016 seasons. ILI claims data can be loaded to a drug utilization review system in Korea to make an influenza surveillance system. [ABSTRACT FROM AUTHOR]
Copyright of Scientific Reports is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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  Data: Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea.
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  Data: <searchLink fieldCode="AR" term="%22Choi%2C+HeeKyoung%22">Choi, HeeKyoung</searchLink><br /><searchLink fieldCode="AR" term="%22Choi%2C+Won+Suk%22">Choi, Won Suk</searchLink><br /><searchLink fieldCode="AR" term="%22Han%2C+Euna%22">Han, Euna</searchLink>
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  Data: Scientific Reports; 5/27/2021, Vol. 11 Issue 1, p1-10, 10p
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  Data: <searchLink fieldCode="DE" term="%22DRUG+utilization%22">DRUG utilization</searchLink><br /><searchLink fieldCode="DE" term="%22ANTITUSSIVE+agents%22">ANTITUSSIVE agents</searchLink><br /><searchLink fieldCode="DE" term="%22INFLUENZA+treatment%22">INFLUENZA treatment</searchLink><br /><searchLink fieldCode="DE" term="%22ANTIPYRETICS%22">ANTIPYRETICS</searchLink><br /><searchLink fieldCode="DE" term="%22ANTIGENIC+shift%22">ANTIGENIC shift</searchLink><br /><searchLink fieldCode="DE" term="%22NATIONAL+health+insurance%22">NATIONAL health insurance</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Influenza is an important public health concern. We propose a new real-time influenza-like illness (ILI) surveillance system that utilizes a nationwide prospective drug utilization monitoring in Korea. We defined ILI-related claims as outpatient claims that contain both antipyretic and antitussive agents and calculated the weekly rate of ILI-related claims, which was compared to weekly ILI rates from clinical sentinel surveillance data during 2014–2018. We performed a cross-correlation analysis using Pearson's correlation, time-series analysis to explore actual correlations after removing any dubious correlations due to underlying non-stationarity in both data sets. We used the moving epidemic method (MEM) to estimate an absolute threshold to designate potential influenza epidemics for the weeks with incidence rates above the threshold. We observed a strong correlation between the two surveillance systems each season. The absolute thresholds for the 4-years were 84.64 and 86.19 cases per 1000claims for claims data and 12.27 and 16.82 per 1000 patients for sentinel data. The epidemic patterns were more similar in the 2016–2017 and 2017–2018 seasons than the 2014–2015 and 2015–2016 seasons. ILI claims data can be loaded to a drug utilization review system in Korea to make an influenza surveillance system. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Scientific Reports is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1038/s41598-021-90511-0
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        Text: English
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      – SubjectFull: DRUG utilization
        Type: general
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      – SubjectFull: INFLUENZA treatment
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      – TitleFull: Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea.
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            NameFull: Choi, HeeKyoung
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            – D: 27
              M: 05
              Text: 5/27/2021
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              Y: 2021
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