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Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data

BACKGROUND: The Belgian Sentinel Network of Laboratories (SNL) was created in 1983 in order to monitor trends in infectious diseases. Given the evolution of the surveillance system, such as the waivers, fusions and adhesions of laboratories over time, it is important to evaluate whether the SNL is s...

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Autores principales: Berger, Nicolas, Muyldermans, Gaetan, Dupont, Yves, Quoilin, Sophie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976472/
https://www.ncbi.nlm.nih.gov/pubmed/27504181
http://dx.doi.org/10.1186/s13690-016-0145-9
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author Berger, Nicolas
Muyldermans, Gaetan
Dupont, Yves
Quoilin, Sophie
author_facet Berger, Nicolas
Muyldermans, Gaetan
Dupont, Yves
Quoilin, Sophie
author_sort Berger, Nicolas
collection PubMed
description BACKGROUND: The Belgian Sentinel Network of Laboratories (SNL) was created in 1983 in order to monitor trends in infectious diseases. Given the evolution of the surveillance system, such as the waivers, fusions and adhesions of laboratories over time, it is important to evaluate whether the SNL is still fit for purpose. This study aims to evaluate aspects of the sensitivity and representativeness of the SNL by means of a test coverage analysis. METHODS: We estimated test coverage of the SNL using the ratio of reimbursed tests performed by participating laboratories to the total number of tests performed between 2007 and 2012, for 12 (groups of) pathogens. We further evaluated the geographical difference coverage of the SNL at regional and provincial levels. RESULTS: We found that test coverage of the SNL was stable over time and close to, or greater than, 50 % for the 12 (groups of) pathogens studied. These results hold for the three regions of Belgium but not for all provinces. We showed that some provinces had a low test coverage for some pathogens and that test coverage was more variable over time at provincial level. CONCLUSIONS: This sensitivity and representativeness study based on test coverage suggests that the SNL is capable to describe trend and to monitor changes in the 12 (groups of) pathogens studied both at national and regional levels. Therefore, the SNL is useful to contribute to estimate the burden of disease and to inform preventive measures. It should however be reinforced to allow to be used as an alert system at provincial level.
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spelling pubmed-49764722016-08-09 Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data Berger, Nicolas Muyldermans, Gaetan Dupont, Yves Quoilin, Sophie Arch Public Health Research BACKGROUND: The Belgian Sentinel Network of Laboratories (SNL) was created in 1983 in order to monitor trends in infectious diseases. Given the evolution of the surveillance system, such as the waivers, fusions and adhesions of laboratories over time, it is important to evaluate whether the SNL is still fit for purpose. This study aims to evaluate aspects of the sensitivity and representativeness of the SNL by means of a test coverage analysis. METHODS: We estimated test coverage of the SNL using the ratio of reimbursed tests performed by participating laboratories to the total number of tests performed between 2007 and 2012, for 12 (groups of) pathogens. We further evaluated the geographical difference coverage of the SNL at regional and provincial levels. RESULTS: We found that test coverage of the SNL was stable over time and close to, or greater than, 50 % for the 12 (groups of) pathogens studied. These results hold for the three regions of Belgium but not for all provinces. We showed that some provinces had a low test coverage for some pathogens and that test coverage was more variable over time at provincial level. CONCLUSIONS: This sensitivity and representativeness study based on test coverage suggests that the SNL is capable to describe trend and to monitor changes in the 12 (groups of) pathogens studied both at national and regional levels. Therefore, the SNL is useful to contribute to estimate the burden of disease and to inform preventive measures. It should however be reinforced to allow to be used as an alert system at provincial level. BioMed Central 2016-08-08 /pmc/articles/PMC4976472/ /pubmed/27504181 http://dx.doi.org/10.1186/s13690-016-0145-9 Text en © The Author(s). 2016 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
Berger, Nicolas
Muyldermans, Gaetan
Dupont, Yves
Quoilin, Sophie
Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data
title Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data
title_full Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data
title_fullStr Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data
title_full_unstemmed Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data
title_short Assessing the sensitivity and representativeness of the Belgian Sentinel Network of Laboratories using test reimbursement data
title_sort assessing the sensitivity and representativeness of the belgian sentinel network of laboratories using test reimbursement data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976472/
https://www.ncbi.nlm.nih.gov/pubmed/27504181
http://dx.doi.org/10.1186/s13690-016-0145-9
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