Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium ...
Abstract Background To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabe... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2022 |
Verlag/Hrsg.: |
figshare
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Schlagwörter: | Medicine / 59999 Environmental Sciences not elsewhere classified / FOS: Earth and related environmental sciences / 39999 Chemical Sciences not elsewhere classified / FOS: Chemical sciences / 69999 Biological Sciences not elsewhere classified / FOS: Biological sciences / Science Policy |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28970917 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.6252782 |
Abstract Background To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabetes care and to operationalize this framework in the fragmented Belgium health care and data landscape. Methods Based on document reviews, iterative working group discussions and expert consultations, theoretical approaches and quality indicators were identified and assessed. After mapping and assessing the validity of existing health information systems and available data sources through expert consultations, the ...