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Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018

Authors :
Leitmeyer, Katrin
Espinosa, Laura
Broberg, Eeva K.
Struelens, Marc J.
Allerberger, Franz
Dupont, Yves
Van Gucht, Steven
Quoilin, Sophie
Christova, Iva
Hunjak, Blaženka
Karagiannis, Christos
Křížová, Pavla
Částková, Jitka
Nielsen, Eva Møller
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 A
Dahle, Ulf R
Vold, Line
Skoczyńska, Anna
Machado, Jorge
Ionescu, Gabriel
Madarova, Lucia
Avdičová, Mária
Paragi, Metka
Vazquez, Julio Moreno
Wisell, Karin Tegmark
Zambon, Maria
Source :
Eurosurveillance
Publication Year :
2020

Abstract

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Eurosurveillance
Accession number :
edsair.doi.dedup.....d152d86526e561d7187308782b26a6aa