Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies

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Date:

Monday, February 8, 2016

Type:

Publication

Description:

A conceptual framework was created distinguishing three steps in local data processing: (1) data reorganization into a data structure common across the network; (2) derivation of study variables not present in original data; and (3) application of study design to transform longitudinal data into aggregated data sets for statistical analysis.

Materials:

eGEMS; Volume 8, Issue 4, Page 1189, DOI: 10.13063/2327-9214.1189

Contributors

Author(s):

Rosa Gini PhD; Martijn Schuemie PhD; Jeffrey Brown PhD; Patrick Ryan PhD; Edoardo Vacchi PhD; Massimo Coppola; Walter Cazzola PhD; Preciosa Coloma MD, PhD; Roberto Berni; Gayo Diallo PhD; José Luis Oliveira PhD; Paul Avillach MD, PhD; Gianluca Trifirò MD, PhD; Peter Rijnbeek PhD, MSc; Mariadonata Bellentani; Johan van Der Lei MD, PhD; Niek Klazinga MD, PhD; Miriam Sturkenboom PhD, MS

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Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies

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