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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.

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2020-10-01
2024-12-23
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Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=Katrin+Claire+Leitmeyer&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Leitmeyer Katrin Claire</a>, <a href="/search?value1=Laura+Espinosa&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Espinosa Laura</a>, <a href="/search?value1=Eeva+Kaarina+Broberg&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Broberg Eeva Kaarina</a>, <a href="/search?value1=Marc+Jean+Struelens&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Struelens Marc Jean</a>, <a href="/search?value1=the+ECDC+National+Focal+Points+laboratory+e-reporting+survey+group+members&option1=author&noRedirect=true" class="nonDisambigAuthorLink">the ECDC National Focal Points laboratory e-reporting survey group members</a></span>. Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018. <a href="/content/ecdc">Euro Surveill.</a> 2020;25(39):pii=1900591. <a href="https://doi.org/10.2807/1560-7917.ES.2020.25.39.1900591" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2020.25.39.1900591</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 24 Sept 2019;&nbsp;&nbsp; <span class="generated">Accepted</span>: 21 Feb 2020 </span> </p>
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