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


Journal

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
ISSN: 1560-7917
Titre abrégé: Euro Surveill
Pays: Sweden
ID NLM: 100887452

Informations de publication

Date de publication:
10 2020
Historique:
entrez: 2 10 2020
pubmed: 3 10 2020
medline: 6 1 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33006301
doi: 10.2807/1560-7917.ES.2020.25.39.1900591
pmc: PMC7531069
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Investigateurs

Franz Allerberger (F)
Yves Dupont (Y)
Steven Van Gucht (S)
Sophie Quoilin (S)
Iva Christova (I)
Blazenka Hunjak (B)
Christos Karagiannis (C)
Pavla Křížová (P)
Jitka Částková (J)
Eva Møller Nielsen (E)
Jonas Kähler (J)
Rita Peetso (R)
Saara Salmenlinna (S)
Teemu Möttönen (T)
Bruno Coignard (B)
Michaela Diercke (M)
Alkiviadis Vatopoulos (A)
Ákos Tóth (Á)
Karl Gustaf Kristinsson (KG)
Eleanor McNamara (E)
Annalisa Pantosi (A)
Violeta Mavcutko (V)
Algirdas Griškevičius (A)
Joël Mossong (J)
Christopher Barbara (C)
Titia Kortbeek (T)
Dominique Caugant (D)
Ulf Dahle (U)
Line Vold (L)
Anna Skoczyńska (A)
Jorge Machado (J)
Gabriel Ionescu (G)
Lucia Madarova (L)
Mária Avdičová (M)
Metka Paragi (M)
Julio Moreno Vazquez (J)
Karin Tegmark Wisell (K)
Maria Zambon (M)

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Auteurs

Katrin Claire Leitmeyer (KC)

European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

Laura Espinosa (L)

European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

Eeva Kaarina Broberg (EK)

European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

Marc Jean Struelens (MJ)

European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
The ECDC National Focal Points laboratory e-reporting survey group members are listed at the end of the article.

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