Methodology for the development of international clinical data standards for common cardiovascular conditions: European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart).
Batra G., Aktaa S., Wallentin L., Maggioni AP., Wilkinson C., Casadei B., Gale CP.
AIMS: Data standards are consensual specifications for the representation of data arising from different sources. If provided with internationally harmonised variables, permissible values, and clinical definitions they have the potential to enable reliable between and within country analysis of care and outcomes. The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) is a European Society of Cardiology (ESC) project that allows participating countries to collect patient data to undertake quality improvement, observational studies, drug and device surveillance, and registry-based randomised controlled trials for cardiovascular conditions. This document describes the methodology for development of harmonised data standards for EuroHeart. METHODS AND RESULTS: We adopted a five-step process for the development of harmonised data standards. The process includes: (1) identification of clinical domains for data standard development by evaluating specific cardiovascular conditions with high prevalence and opportunities for quality improvement; (2) construction of data standard specifications by systematic review of the literature; (3) selection of variables by a domain specific Working Group using a modified Delphi method; (4) validation of data standards by a domain specific Reference Group; and (5) implementation of the developed data standards into an IT platform. CONCLUSION: This document describes the approach adopted by EuroHeart for the development of clinical data standards for cardiovascular disease. The methodology has been developed and is used by EuroHeart to create a suite of international data standards for cardiovascular diseases. The EuroHeart data standards may be used to systematically capture individual patient data about clinical care and for research.