Literature DB >> 26666452

Core Standards of the EUBIROD Project. Defining a European Diabetes Data Dictionary for Clinical Audit and Healthcare Delivery.

S G Cunningham1, F Carinci, M Brillante, G P Leese, R R McAlpine, J Azzopardi, P Beck, N Bratina, V Bocquet, K Doggen, P K Jarosz-Chobot, M Jecht, U Lindblad, T Moulton, Ž Metelko, A Nagy, G Olympios, S Pruna, S Skeie, F Storms, C T Di Iorio, M Massi Benedetti.   

Abstract

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.

Entities:  

Keywords:  Data dictionary; common dataset; diabetes; interoperability; standardised definitions

Mesh:

Year:  2015        PMID: 26666452     DOI: 10.3414/ME15-01-0016

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  7 in total

1.  Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes.

Authors:  Deepak K Sharma; Harold R Solbrig; Eric Prud'hommeaux; Jyotishman Pathak; Guoqian Jiang
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  Adherence to General Diabetes and Foot Care Processes, with Prompt Referral, Are Associated with Amputation-Free Survival in People with Type 2 Diabetes and Foot Ulcers: A Scottish National Registry Analysis.

Authors:  Bernardo Meza-Torres; Scott G Cunningham; Christian Heiss; Mark Joy; Michael Feher; Graham P Leese; Simon de Lusignan; Fabrizio Carinci
Journal:  J Diabetes Res       Date:  2022-06-14       Impact factor: 4.061

Review 3.  Using Large Diabetes Databases for Research.

Authors:  Sarah Wild; Colin Fischbacher; John McKnight
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

4.  Improvement in Quality of Care for Patients with Type 2 Diabetes in Hungary Between 2008 and 2016: Results from Two Population-Based Representative Surveys.

Authors:  Attila Nagy; Nóra Kovács; Anita Pálinkás; Valéria Sipos; Ferenc Vincze; Gergő Szőllősi; Róza Ádány; Árpád Czifra; János Sándor
Journal:  Diabetes Ther       Date:  2019-02-15       Impact factor: 2.945

5.  Health service organisation impact on lower extremity amputations in people with type 2 diabetes with foot ulcers: systematic review and meta-analysis.

Authors:  Bernardo Meza-Torres; Fabrizio Carinci; Christian Heiss; Mark Joy; Simon de Lusignan
Journal:  Acta Diabetol       Date:  2021-02-06       Impact factor: 4.280

Review 6.  Understanding the Nature of Metadata: Systematic Review.

Authors:  Hannes Ulrich; Ann-Kristin Kock-Schoppenhauer; Noemi Deppenwiese; Robert Gött; Jori Kern; Martin Lablans; Raphael W Majeed; Mark R Stöhr; Jürgen Stausberg; Julian Varghese; Martin Dugas; Josef Ingenerf
Journal:  J Med Internet Res       Date:  2022-01-11       Impact factor: 5.428

7.  Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium.

Authors:  Buffel Veerle; Danhieux Katrien; Philippe Bos; Remmen Roy; Van Olmen Josefien; Wouters Edwin
Journal:  BMC Health Serv Res       Date:  2022-10-18       Impact factor: 2.908

  7 in total

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