Evidence map›Paper›PMID 33006301›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2020

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

Katrin Claire Leitmeyer, Laura Espinosa, Eeva Kaarina Broberg, Marc Jean Struelens, ECDC National Focal Points laboratory e-reporting survey group members, ECDC National Focal Points laboratory e-reporting survey group

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Case ascertainment of a potential centrally-implemented, automated system for national surveillance of healthcare-associated infections, England, 2016 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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  7. Will coronavirus disease (COVID-19) have an impact on antimicrobial resistance?Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Katrin Claire LeitmeyerEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Laura EspinosaEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Eeva Kaarina BrobergEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Marc Jean StruelensEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
ECDC National Focal Points laboratory e-reporting survey group membersThe ECDC National Focal Points laboratory e-reporting survey group members are listed at the end of the article.
ECDC National Focal Points laboratory e-reporting survey group
European Centre for Disease Prevention and Control · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundTimely 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.AimWe surveyed microbiology data reporting practices for national surveillance of EU-notifiable diseases in European Union/European Economic Area (EU/EEA) countries in 2018.MethodsEuropean 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.ResultsComplete 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.ConclusionM2M-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.

Indexed as

Electronic Health RecordsAntimicrobial StewardshipClinical Laboratory ServicesDisease NotificationEpidemiological MonitoringEuropeEuropean UnionHumansInformation DisseminationPublic HealthPublic Health Surveillanceantimicrobial resistanceautomated data reportingclinical microbiology testingcommunicable diseasesdigital surveillanceearly-warningelectronic laboratory reportingpublic health surveillance

Identifiers

PMID33006301
PMCPMC7531069
OpenAlexW3090500250

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.