Building a European database to gather multi-country evidence on active and latent TB screening for migrants.


Journal

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
ISSN: 1878-3511
Titre abrégé: Int J Infect Dis
Pays: Canada
ID NLM: 9610933

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 09 01 2019
revised: 22 02 2019
accepted: 23 02 2019
pubmed: 4 3 2019
medline: 23 4 2019
entrez: 4 3 2019
Statut: ppublish

Résumé

Screening for active and latent TB among migrants in low TB incidence countries may constitute an important contribution to TB elimination. E-DETECT TB, a European multi-county collaboration, aims to address the present lack of evidence on effectiveness of migrant TB screening by collating data in an international database and perform cross-country pooled and comparative analyses of screening coverage, results and linkage to care. A database was established using migrant TB screening data from participating countries' national screening programs, national screening pilots and local research projects. All partner countries contributed to a common agreed protocol with standardized variables, pooling available numerator and denominator screening data from participating countries and sites. All collaborating members drafted and agreed upon a data sharing accord as well as a protocol that clearly defined responsibilities and data governance principles. The database has been created and data transfer is ongoing. By persistence and focus the project has overcome considerable administrative, practical and legal challenges. This international collaboration provides greater power of analysis of harmonized data and thereby a unique opportunity to contribute migrant TB screening evidence. E-DETECT TB has started to invite other countries to contribute data to the database.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
Screening for active and latent TB among migrants in low TB incidence countries may constitute an important contribution to TB elimination. E-DETECT TB, a European multi-county collaboration, aims to address the present lack of evidence on effectiveness of migrant TB screening by collating data in an international database and perform cross-country pooled and comparative analyses of screening coverage, results and linkage to care.
METHOD METHODS
A database was established using migrant TB screening data from participating countries' national screening programs, national screening pilots and local research projects. All partner countries contributed to a common agreed protocol with standardized variables, pooling available numerator and denominator screening data from participating countries and sites.
RESULTS RESULTS
All collaborating members drafted and agreed upon a data sharing accord as well as a protocol that clearly defined responsibilities and data governance principles. The database has been created and data transfer is ongoing.
CONCLUSION CONCLUSIONS
By persistence and focus the project has overcome considerable administrative, practical and legal challenges. This international collaboration provides greater power of analysis of harmonized data and thereby a unique opportunity to contribute migrant TB screening evidence. E-DETECT TB has started to invite other countries to contribute data to the database.

Identifiants

pubmed: 30826482
pii: S1201-9712(19)30105-5
doi: 10.1016/j.ijid.2019.02.041
pmc: PMC7615139
mid: EMS188477
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

S45-S49

Subventions

Organisme : Wellcome Trust
ID : 206602
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206602/Z/17/Z
Pays : United Kingdom

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Joanna Nederby Öhd (JN)

Department of Public Health Science, Karolinska Institutet, 171 77 Stockholm, Sweden; Department of Communicable Disease Prevention and Control, Stockholm County Council, Smittskydd Stockholm, Box 17533, 118 91 Stockholm, Sweden. Electronic address: joanna.nederby-ohd@sll.se.

Knut Lönnroth (K)

Department of Public Health Science, Karolinska Institutet, 171 77 Stockholm, Sweden.

Ibrahim Abubakar (I)

Institute for Global Health, University College London, 3rd floor, Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK.

Robert W Aldridge (RW)

Public Health Data Science, Institute of Health Informatics, University College London, 222 Euston Road, London NW1 1DA, UK.

Connie Erkens (C)

KNCV Tuberculosis Foundation, Benoordenhoutseweg 46, 2596 BC Den Haag, the Netherlands.

Jerker Jonsson (J)

Public Health Agency, 171 82 Solna, Sweden.

Valentina Marchese (V)

Department of Infectious and Tropical Diseases, WHO Collaborating Centre for TB/HIV and TB Elimination, University of Brescia, Piazzale Spedali Civili, 1, 25123 Brescia, BS, Italy.

Alberto Matteelli (A)

Department of Infectious and Tropical Diseases, WHO Collaborating Centre for TB/HIV and TB Elimination, University of Brescia, Piazzale Spedali Civili, 1, 25123 Brescia, BS, Italy.

Dee Menezes (D)

Public Health Data Science, Institute of Health Informatics, University College London, 222 Euston Road, London NW1 1DA, UK.

Dominik Zenner (D)

Institute for Global Health, University College London, 3rd floor, Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK.

Maria-Pia Hergens (MP)

Department of Public Health Science, Karolinska Institutet, 171 77 Stockholm, Sweden; Department of Communicable Disease Prevention and Control, Stockholm County Council, Smittskydd Stockholm, Box 17533, 118 91 Stockholm, Sweden.

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Classifications MeSH