2021
DOI: 10.3389/fcdhc.2021.744516
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Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes: The EUBIROD Review of Diabetes Registries and Data Sources in Europe

Abstract: BackgroundRegistries and data sources contain information that can be used on an ongoing basis to improve quality of care and outcomes of people with diabetes. As a specific task of the EU Bridge Health project, we carried out a survey of diabetes-related data sources in Europe.ObjectivesWe aimed to report on the organization of different sources of diabetes information, including their governance, information infrastructure and dissemination strategies for quality control, service planning, public health, pol… Show more

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Cited by 5 publications
(2 citation statements)
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“…Electronic health records should be considered, whenever available, to assess the level of adherence to optimal care packages, as it can be used to identify high-risk patients. The approach here presented can be adopted by diabetes registries and data sources from different health systems [ 42 , 43 ] to extract comparable longitudinal cohorts and safely share essential information [ 44 46 ] to compare care packages under varying conditions.…”
Section: Discussionmentioning
confidence: 99%
“…Electronic health records should be considered, whenever available, to assess the level of adherence to optimal care packages, as it can be used to identify high-risk patients. The approach here presented can be adopted by diabetes registries and data sources from different health systems [ 42 , 43 ] to extract comparable longitudinal cohorts and safely share essential information [ 44 46 ] to compare care packages under varying conditions.…”
Section: Discussionmentioning
confidence: 99%
“…Anyone involved in data collection must be aware of potential security issues and data protection requirements, including the General Data Protection Regulation (GDPR) [42] . There is also a risk that inadequate data quality, data access, data interoperability, and representativeness of data may foster health inequalities [13,43] .…”
Section: Optimising Use Of Datamentioning
confidence: 99%