Literature DB >> 24635221

Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how?

G Trifirò1, P M Coloma, P R Rijnbeek, S Romio, B Mosseveld, D Weibel, J Bonhoeffer, M Schuemie, J van der Lei, M Sturkenboom.   

Abstract

A growing number of international initiatives (e.g. EU-ADR, Sentinel, OMOP, PROTECT and VAESCO) are based on the combined use of multiple healthcare databases for the conduct of active surveillance studies in the area of drug and vaccine safety. The motivation behind combining multiple healthcare databases is the earlier detection and validation, and hence earlier management, of potential safety issues. Overall, the combination of multiple healthcare databases increases statistical sample size and heterogeneity of exposure for postmarketing drug and vaccine safety surveillance, despite posing several technical challenges. Healthcare databases generally differ by underlying healthcare systems, type of information collected, drug/vaccine and medical event coding systems and language. Therefore, harmonization of medical data extraction through homogeneous coding algorithms across highly different databases is necessary. Although no standard procedure is currently available to achieve this, several approaches have been developed in recent projects. Another main challenge involves choosing the work models for data management and analyses whilst respecting country-specific regulations in terms of data privacy and anonymization. Dedicated software (e.g. Jerboa) has been produced to deal with privacy issues by sharing only anonymized and aggregated data using a common data model. Finally, storage and safe access to the data from different databases requires the development of a proper remote research environment. The aim of this review is to provide a summary of the potential, disadvantages, methodological issues and possible solutions concerning the conduct of postmarketing multidatabase drug and vaccine safety studies, as demonstrated by several international initiatives.
© 2014 The Association for the Publication of the Journal of Internal Medicine.

Keywords:  claims database; drug monitoring; electronic health records; postmarketing; product surveillance; vaccine

Mesh:

Substances:

Year:  2014        PMID: 24635221     DOI: 10.1111/joim.12159

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  46 in total

1.  Social Media Listening for Routine Post-Marketing Safety Surveillance.

Authors:  Gregory E Powell; Harry A Seifert; Tjark Reblin; Phil J Burstein; James Blowers; J Alan Menius; Jeffery L Painter; Michele Thomas; Carrie E Pierce; Harold W Rodriguez; John S Brownstein; Clark C Freifeld; Heidi G Bell; Nabarun Dasgupta
Journal:  Drug Saf       Date:  2016-05       Impact factor: 5.606

2.  Improving the safety of vaccine delivery.

Authors:  Huw P Evans; Alison Cooper; Huw Williams; Andrew Carson-Stevens
Journal:  Hum Vaccin Immunother       Date:  2016-02-22       Impact factor: 3.452

3.  Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.

Authors:  Shirley V Wang; Olga V Patterson; Joshua J Gagne; Jeffrey S Brown; Robert Ball; Pall Jonsson; Adam Wright; Li Zhou; Wim Goettsch; Andrew Bate
Journal:  Drug Saf       Date:  2019-11       Impact factor: 5.606

4.  Using Multiple Pharmacovigilance Models Improves the Timeliness of Signal Detection in Simulated Prospective Surveillance.

Authors:  Rolina D van Gaalen; Michal Abrahamowicz; David L Buckeridge
Journal:  Drug Saf       Date:  2017-11       Impact factor: 5.606

Review 5.  The Role of European Healthcare Databases for Post-Marketing Drug Effectiveness, Safety and Value Evaluation: Where Does Italy Stand?

Authors:  Gianluca Trifirò; Rosa Gini; Francesco Barone-Adesi; Ettore Beghi; Anna Cantarutti; Annalisa Capuano; Carla Carnovale; Antonio Clavenna; Mirosa Dellagiovanna; Carmen Ferrajolo; Matteo Franchi; Ylenia Ingrasciotta; Ursula Kirchmayer; Francesco Lapi; Roberto Leone; Olivia Leoni; Ersilia Lucenteforte; Ugo Moretti; Alessandro Mugelli; Luigi Naldi; Elisabetta Poluzzi; Concita Rafaniello; Federico Rea; Janet Sultana; Mauro Tettamanti; Giuseppe Traversa; Alfredo Vannacci; Lorenzo Mantovani; Giovanni Corrao
Journal:  Drug Saf       Date:  2019-03       Impact factor: 5.606

6.  Use of azithromycin and risk of ventricular arrhythmia.

Authors:  Gianluca Trifirò; Maria de Ridder; Janet Sultana; Alessandro Oteri; Peter Rijnbeek; Serena Pecchioli; Giampiero Mazzaglia; Irene Bezemer; Edeltraut Garbe; Tania Schink; Elisabetta Poluzzi; Trine Frøslev; Mariam Molokhia; Igor Diemberger; Miriam C J M Sturkenboom
Journal:  CMAJ       Date:  2017-04-18       Impact factor: 8.262

7.  Information Technology for Clinical, Translational and Comparative Effectiveness Research. Findings from the Yearbook 2015 Section on Clinical Research Informatics.

Authors:  C Daniel; R Choquet
Journal:  Yearb Med Inform       Date:  2015-08-13

8.  Converting to a common data model: what is lost in translation? : Commentary on "fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model".

Authors:  Peter R Rijnbeek
Journal:  Drug Saf       Date:  2014-11       Impact factor: 5.606

9.  Antibiotic use varies substantially among adults: a cross-national study from five European Countries in the ARITMO project.

Authors:  Anil Mor; Trine Frøslev; Reimar Wernich Thomsen; Alessandro Oteri; Peter Rijnbeek; Tania Schink; Edeltraut Garbe; Serena Pecchioli; Francesco Innocenti; Irene Bezemer; Elisabetta Poluzzi; Miriam C Sturkenboom; Gianluca Trifirò; Mette Søgaard
Journal:  Infection       Date:  2015-04-01       Impact factor: 3.553

10.  Impact of risk minimisation measures on the use of strontium ranelate in Europe: a multi-national cohort study in 5 EU countries by the EU-ADR Alliance.

Authors:  K Berencsi; A Sami; M S Ali; K Marinier; N Deltour; S Perez-Gutthann; L Pedersen; P Rijnbeek; J Van der Lei; F Lapi; M Simonetti; C Reyes; M C J M Sturkenboom; D Prieto-Alhambra
Journal:  Osteoporos Int       Date:  2019-11-06       Impact factor: 4.507

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