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Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons
BACKGROUND: Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza. In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system usi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493063/ https://www.ncbi.nlm.nih.gov/pubmed/28666433 http://dx.doi.org/10.1186/s12889-017-4515-1 |
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author | Buda, S. Tolksdorf, K. Schuler, E. Kuhlen, R. Haas, W. |
author_facet | Buda, S. Tolksdorf, K. Schuler, E. Kuhlen, R. Haas, W. |
author_sort | Buda, S. |
collection | PubMed |
description | BACKGROUND: Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza. In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system using case-based data on ICD-10 codes. This first-time description of the system shows its application to the analysis of five influenza seasons. METHODS: Since week 40/2015, weekly updated anonymized data on discharged patients overall and on patients with respiratory illness including ICD-10 codes of primary and secondary diagnoses are transferred from the network data center to RKI. Retrospective datasets were also provided. Our descriptive analysis is based on data of 47 sentinel hospitals collected between weeks 1/2012 to 20/2016. We applied three different SARI case definitions (CD) based on ICD-10 codes for discharge diagnoses of respiratory tract infections (J09 - J22): basic CD (BCD), using only primary diagnoses; sensitive CD (SCD), using primary and secondary diagnoses; timely CD (TCD), using only primary diagnoses of patients hospitalized up to one week. We compared the CD with regard to severity, age distribution and timeliness and with results from the national primary care sentinel system. RESULTS: The 47 sentinel hospitals covered 3.6% of patients discharged from all German hospitals in 2013. The SCD comprised 2.2 times patients as the BCD, and 3.6 times as many as the TCD. Time course of SARI cases corresponded well to results from primary care surveillance and influenza virus circulation. The patients fulfilling the TCD had been completely reported after 3 weeks, which was fastest among the CD. The proportion of SARI cases among patients was highest in the youngest age group of below 5-year-olds. However, the age group 60 years and above contributed most SARI cases. This was irrespective of the CD used. CONCLUSIONS: In general, available data and the implemented reporting system are appropriate to provide timely and reliable information on SARI in inpatients in Germany. Our ICD-10-based approach proved to be useful for fulfilling requirements for SARI surveillance. The exploratory approach gave valuable insights in data structure and emphasized the advantages of different CD. |
format | Online Article Text |
id | pubmed-5493063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54930632017-06-30 Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons Buda, S. Tolksdorf, K. Schuler, E. Kuhlen, R. Haas, W. BMC Public Health Research Article BACKGROUND: Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza. In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system using case-based data on ICD-10 codes. This first-time description of the system shows its application to the analysis of five influenza seasons. METHODS: Since week 40/2015, weekly updated anonymized data on discharged patients overall and on patients with respiratory illness including ICD-10 codes of primary and secondary diagnoses are transferred from the network data center to RKI. Retrospective datasets were also provided. Our descriptive analysis is based on data of 47 sentinel hospitals collected between weeks 1/2012 to 20/2016. We applied three different SARI case definitions (CD) based on ICD-10 codes for discharge diagnoses of respiratory tract infections (J09 - J22): basic CD (BCD), using only primary diagnoses; sensitive CD (SCD), using primary and secondary diagnoses; timely CD (TCD), using only primary diagnoses of patients hospitalized up to one week. We compared the CD with regard to severity, age distribution and timeliness and with results from the national primary care sentinel system. RESULTS: The 47 sentinel hospitals covered 3.6% of patients discharged from all German hospitals in 2013. The SCD comprised 2.2 times patients as the BCD, and 3.6 times as many as the TCD. Time course of SARI cases corresponded well to results from primary care surveillance and influenza virus circulation. The patients fulfilling the TCD had been completely reported after 3 weeks, which was fastest among the CD. The proportion of SARI cases among patients was highest in the youngest age group of below 5-year-olds. However, the age group 60 years and above contributed most SARI cases. This was irrespective of the CD used. CONCLUSIONS: In general, available data and the implemented reporting system are appropriate to provide timely and reliable information on SARI in inpatients in Germany. Our ICD-10-based approach proved to be useful for fulfilling requirements for SARI surveillance. The exploratory approach gave valuable insights in data structure and emphasized the advantages of different CD. BioMed Central 2017-06-30 /pmc/articles/PMC5493063/ /pubmed/28666433 http://dx.doi.org/10.1186/s12889-017-4515-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Buda, S. Tolksdorf, K. Schuler, E. Kuhlen, R. Haas, W. Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons |
title | Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons |
title_full | Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons |
title_fullStr | Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons |
title_full_unstemmed | Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons |
title_short | Establishing an ICD-10 code based SARI-surveillance in Germany – description of the system and first results from five recent influenza seasons |
title_sort | establishing an icd-10 code based sari-surveillance in germany – description of the system and first results from five recent influenza seasons |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493063/ https://www.ncbi.nlm.nih.gov/pubmed/28666433 http://dx.doi.org/10.1186/s12889-017-4515-1 |
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