Methods Inf Med 2016; 55(02): 166-176
DOI: 10.3414/ME15-01-0016
Original Articles
Schattauer GmbH

Core Standards of the EUBIROD Project[*]

Defining a European Diabetes Data Dictionary for Clinical Audit and Healthcare Delivery
S. G. Cunningham
1   University of Dundee, Scotland
,
F. Carinci
2   Hub for International Health Research, Italy
3   University of Surrey, United Kingdom
,
M. Brillante
1   University of Dundee, Scotland
,
G. P. Leese
1   University of Dundee, Scotland
,
R. R. McAlpine
1   University of Dundee, Scotland
,
J. Azzopardi
4   University of Malta, Malta
,
P. Beck
5   Joanneum Research, Austria
,
N. Bratina
6   University Children’s Hospital Ljubljana, Slovenia
,
V. Bocquet
7   Centre Hospitalier de Luxembourg, Luxembourg
,
K. Doggen
8   Scientific Institute of Public Health, Belgium
,
P. K. Jarosz-Chobot
9   Medical University of Silesia, Poland
,
M. Jecht
10   Havelhöhe Hospital, Germany
,
U. Lindblad
11   University of Gothenburg, Sweden
,
T. Moulton
12   Adelaide and Meath Hospital, Ireland
,
Ž. Metelko
13   Vuk Vrhovac University Clinic for Diabetes, Croatia
,
A. Nagy
14   University of Debrecen, Hungary
,
G. Olympios
15   Ministry of Health, Cyprus
,
S. Pruna
16   Telemedica Consulting, Romania
,
S. Skeie
17   NOKLUS, Norway
,
F. Storms
18   Dutch Institute for Healthcare Improvement (CBO), The Netherlands
,
C. T. Di Iorio
19   Serectrix snc, Italy
,
M. Massi Benedetti
2   Hub for International Health Research, Italy
› Author Affiliations
Further Information

Publication History

received: 29 January 2015

accepted: 10 August 2015

Publication Date:
08 January 2018 (online)

Summary

Background: A set of core diabetes indicators were identified in a clinical review of current evidence for the EUBIROD project. In order to allow accurate comparisons of diabetes indicators, a standardised currency for data storage and aggregation was required. We aimed to define a robust European data dictionary with appropriate clinical definitions that can be used to analyse diabetes outcomes and provide the foundation for data collection from existing electronic health records for diabetes.

Methods: Existing clinical datasets used by 15 partner institutions across Europe were collated and common data items analysed for consistency in terms of recording, data definition and units of measurement. Where necessary, data mappings and algorithms were specified in order to allow partners to meet the standard definitions. A series of descriptive elements were created to document metadata for each data item, including recording, consistency, completeness and quality.

Results: While datasets varied in terms of consistency, it was possible to create a common standard that could be used by all. The minimum dataset defined 53 data items that were classified according to their feasibility and validity. Mappings and standardised definitions were used to create an electronic directory for diabetes care, providing the foundation for the EUBIROD data analysis repository, also used to implement the diabetes registry and model of care for Cyprus.

Conclusions: The development of data dictionaries and standards can be used to improve the quality and comparability of health information. A data dictionary has been developed to be compatible with other existing data sources for diabetes, within and beyond Europe.

* Supplementary online material published on our website http://dx.doi.org/10.3414/ME15-01-0016