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Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018
BACKGROUND: Timely reporting of microbiology test results is essential for infection management. Automated, machine-to-machine (M2M) reporting of diagnostic and antimicrobial resistance (AMR) data from laboratory information management systems (LIMS) to public health agencies improves timeliness and...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Centre for Disease Prevention and Control (ECDC)
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531069/ https://www.ncbi.nlm.nih.gov/pubmed/33006301 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.39.1900591 |
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author | Leitmeyer, Katrin Claire Espinosa, Laura Broberg, Eeva Kaarina Struelens, Marc Jean Allerberger, Franz Dupont, Yves Van Gucht, Steven Quoilin, Sophie Christova, Iva Hunjak, Blazenka Karagiannis, Christos Křížová, Pavla Částková, Jitka Møller Nielsen, Eva Kähler, Jonas Peetso, Rita Salmenlinna, Saara Möttönen, Teemu Coignard, Bruno Diercke, Michaela Vatopoulos, Alkiviadis Tóth, Ákos Kristinsson, Karl Gustaf McNamara, Eleanor Pantosi, Annalisa Mavcutko, Violeta Griškevičius, Algirdas Mossong, Joël Barbara, Christopher Kortbeek, Titia Caugant, Dominique Dahle, Ulf Vold, Line Skoczyńska, Anna Machado, Jorge Ionescu, Gabriel Madarova, Lucia Avdičová, Mária Paragi, Metka Moreno Vazquez, Julio Tegmark Wisell, Karin Zambon, Maria |
author_facet | Leitmeyer, Katrin Claire Espinosa, Laura Broberg, Eeva Kaarina Struelens, Marc Jean Allerberger, Franz Dupont, Yves Van Gucht, Steven Quoilin, Sophie Christova, Iva Hunjak, Blazenka Karagiannis, Christos Křížová, Pavla Částková, Jitka Møller Nielsen, Eva Kähler, Jonas Peetso, Rita Salmenlinna, Saara Möttönen, Teemu Coignard, Bruno Diercke, Michaela Vatopoulos, Alkiviadis Tóth, Ákos Kristinsson, Karl Gustaf McNamara, Eleanor Pantosi, Annalisa Mavcutko, Violeta Griškevičius, Algirdas Mossong, Joël Barbara, Christopher Kortbeek, Titia Caugant, Dominique Dahle, Ulf Vold, Line Skoczyńska, Anna Machado, Jorge Ionescu, Gabriel Madarova, Lucia Avdičová, Mária Paragi, Metka Moreno Vazquez, Julio Tegmark Wisell, Karin Zambon, Maria |
author_sort | Leitmeyer, Katrin Claire |
collection | PubMed |
description | BACKGROUND: Timely reporting of microbiology test results is essential for infection management. Automated, machine-to-machine (M2M) reporting of diagnostic and antimicrobial resistance (AMR) data from laboratory information management systems (LIMS) to public health agencies improves timeliness and completeness of communicable disease surveillance. AIM: We surveyed microbiology data reporting practices for national surveillance of EU-notifiable diseases in European Union/European Economic Area (EU/EEA) countries in 2018. METHODS: European Centre for Disease Prevention and Control (ECDC) National Microbiology and Surveillance Focal Points completed a questionnaire on the modalities and scope of clinical microbiology laboratory data reporting. RESULTS: Complete data were provided for all 30 EU/EEA countries. Clinical laboratories used a LIMS in 28 countries. LIMS data on EU-notifiable diseases and AMR were M2M-reported to the national level in 14 and nine countries, respectively. In the 14 countries, associated demographic data reported allowed the de-duplication of patient reports. In 13 countries, M2M-reported data were used for cluster detection at the national level. M2M laboratory data reporting had been validated against conventional surveillance methods in six countries, and replaced those in five. Barriers to M2M reporting included lack of information technology support and financial incentives. CONCLUSION: M2M-reported laboratory data were used for national public health surveillance and alert purposes in nearly half of the EU/EEA countries in 2018. Reported data on infectious diseases and AMR varied in extent and disease coverage across countries and laboratories. Improving automated laboratory-based surveillance will depend on financial and regulatory incentives, and harmonisation of health information and communication systems. |
format | Online Article Text |
id | pubmed-7531069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | European Centre for Disease Prevention and Control (ECDC) |
record_format | MEDLINE/PubMed |
spelling | pubmed-75310692020-10-13 Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 Leitmeyer, Katrin Claire Espinosa, Laura Broberg, Eeva Kaarina Struelens, Marc Jean Allerberger, Franz Dupont, Yves Van Gucht, Steven Quoilin, Sophie Christova, Iva Hunjak, Blazenka Karagiannis, Christos Křížová, Pavla Částková, Jitka Møller Nielsen, Eva Kähler, Jonas Peetso, Rita Salmenlinna, Saara Möttönen, Teemu Coignard, Bruno Diercke, Michaela Vatopoulos, Alkiviadis Tóth, Ákos Kristinsson, Karl Gustaf McNamara, Eleanor Pantosi, Annalisa Mavcutko, Violeta Griškevičius, Algirdas Mossong, Joël Barbara, Christopher Kortbeek, Titia Caugant, Dominique Dahle, Ulf Vold, Line Skoczyńska, Anna Machado, Jorge Ionescu, Gabriel Madarova, Lucia Avdičová, Mária Paragi, Metka Moreno Vazquez, Julio Tegmark Wisell, Karin Zambon, Maria Euro Surveill Surveillance BACKGROUND: Timely reporting of microbiology test results is essential for infection management. Automated, machine-to-machine (M2M) reporting of diagnostic and antimicrobial resistance (AMR) data from laboratory information management systems (LIMS) to public health agencies improves timeliness and completeness of communicable disease surveillance. AIM: We surveyed microbiology data reporting practices for national surveillance of EU-notifiable diseases in European Union/European Economic Area (EU/EEA) countries in 2018. METHODS: European Centre for Disease Prevention and Control (ECDC) National Microbiology and Surveillance Focal Points completed a questionnaire on the modalities and scope of clinical microbiology laboratory data reporting. RESULTS: Complete data were provided for all 30 EU/EEA countries. Clinical laboratories used a LIMS in 28 countries. LIMS data on EU-notifiable diseases and AMR were M2M-reported to the national level in 14 and nine countries, respectively. In the 14 countries, associated demographic data reported allowed the de-duplication of patient reports. In 13 countries, M2M-reported data were used for cluster detection at the national level. M2M laboratory data reporting had been validated against conventional surveillance methods in six countries, and replaced those in five. Barriers to M2M reporting included lack of information technology support and financial incentives. CONCLUSION: M2M-reported laboratory data were used for national public health surveillance and alert purposes in nearly half of the EU/EEA countries in 2018. Reported data on infectious diseases and AMR varied in extent and disease coverage across countries and laboratories. Improving automated laboratory-based surveillance will depend on financial and regulatory incentives, and harmonisation of health information and communication systems. European Centre for Disease Prevention and Control (ECDC) 2020-10-01 /pmc/articles/PMC7531069/ /pubmed/33006301 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.39.1900591 Text en This article is copyright of the authors or their affiliated institutions, 2020. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made. |
spellingShingle | Surveillance Leitmeyer, Katrin Claire Espinosa, Laura Broberg, Eeva Kaarina Struelens, Marc Jean Allerberger, Franz Dupont, Yves Van Gucht, Steven Quoilin, Sophie Christova, Iva Hunjak, Blazenka Karagiannis, Christos Křížová, Pavla Částková, Jitka Møller Nielsen, Eva Kähler, Jonas Peetso, Rita Salmenlinna, Saara Möttönen, Teemu Coignard, Bruno Diercke, Michaela Vatopoulos, Alkiviadis Tóth, Ákos Kristinsson, Karl Gustaf McNamara, Eleanor Pantosi, Annalisa Mavcutko, Violeta Griškevičius, Algirdas Mossong, Joël Barbara, Christopher Kortbeek, Titia Caugant, Dominique Dahle, Ulf Vold, Line Skoczyńska, Anna Machado, Jorge Ionescu, Gabriel Madarova, Lucia Avdičová, Mária Paragi, Metka Moreno Vazquez, Julio Tegmark Wisell, Karin Zambon, Maria Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 |
title | Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 |
title_full | Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 |
title_fullStr | Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 |
title_full_unstemmed | Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 |
title_short | Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018 |
title_sort | automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a eu/eea survey, 2018 |
topic | Surveillance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531069/ https://www.ncbi.nlm.nih.gov/pubmed/33006301 http://dx.doi.org/10.2807/1560-7917.ES.2020.25.39.1900591 |
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