Core Standards of the EUBIRO Project Defining a European Diabetes Data Dictionary for Clinical Audit and Healthcare Delivery
Core Standards of the EUBIRO Project Defining a European Diabetes Data Dictionary for Clinical Audit and Healthcare Delivery
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DOI：
10.3414/me15-01-0016
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发表时间：
2016-01-01
影响因子：
1.7
通讯作者：
Benedetti, M. Massi
中科院分区：
文献类型：
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作者：
Cunningham, S. G.;Carinci, F.;Benedetti, M. Massi
背景：在对EUBIROD项目现有证据的临床综述中确定了一组核心糖尿病指标。为了准确比较糖尿病指标，需要一种标准化的数据存储和汇总货币。我们的目的是定义一个强大的欧洲数据字典与适当的临床定义，可用于分析糖尿病的结果和现有的电子健康记录为diabetes.Methods的数据收集提供基础：现有的临床数据集使用的15个合作伙伴机构在欧洲进行了整理和常见的数据项分析记录，数据定义和计量单位的一致性。在必要时，还规定了数据映射和算法，以使合作伙伴能够满足标准定义。创建了一系列描述性要素，以记录每个数据项的元数据，包括记录、一致性、完整性和质量。最小数据集定义了53个数据项，根据其可行性和有效性进行分类。映射和标准化的定义被用来创建一个电子目录糖尿病护理，提供了基础的EUBIROD数据分析存储库，也用于实施糖尿病登记和护理模式为Cyprus.Conclusions：数据字典和标准的发展可以用来提高健康信息的质量和可比性。已经开发了一个数据字典，与欧洲内外其他现有的糖尿病数据源兼容。
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.