Quality of Diabetes Care (Current Levels, Distribution, and Trends) and Challenges in Measuring Quality of Care

Author(s):  
Leonard M. Pogach ◽  
David C. Aron
2013 ◽  
Vol 01 (01) ◽  
pp. 044-047
Author(s):  
Pavika Jain ◽  
Niels Aamand

This article has a global perspective and includes examples from several continents i.e. Latin America, Africa, Asia and Europe. The Changing Diabetes® Barometer (CDB) is a Novo Nordisk initiative that works as a worldwide quality monitoring system for diabetes management to measure the gains made in the fight against diabetes focusing on quality of care and patient outcomes. CDB provides a platform for countries to share local diabetes data and good practices. In doing so it aims to disseminate improved practices of care. CDB is conceptualised as a framework that can help change diabetes. Its three cornerstones are “Measure, Share, Improve” (MSI):• MEASURE the quality of diabetes care through patient outcomes and care processes.• SHARE data on the quality of diabetes care and good practices with all relevant stakeholders.• IMPROVE the quality of diabetes care by identifying and actively spreading good practices in diabetes care and inspire others to adopt and follow best practice examples.Italy and Algeria both constitute best practice examples of CDB initiatives. In Italy a registry solution is already solidly implemented and improvements in patient outcomes have been documented. The initiative in Algeria has recently been initiated including establishment of IT equipment in participating clinics to ensure all relevant measurements. This will enable transparency on current level of quality of diabetes care. Both initiatives have the common goal of driving improvements in quality of care and patient outcomes across clinics. India is another good example where data is collected through the CDB aimed at driving improvement of diabetes care in order to improve quality of life for people with diabetes. CDB in India is implemented in five states (Goa, Bihar, Gujarat, Puducherry and Andhra Pradesh) and is planned to be expanded to five additional states.


2022 ◽  
Author(s):  
Veerle Buffel ◽  
Katrien Danhieux ◽  
Philippe Bos ◽  
Roy Remmen ◽  
Josefien Van Olmen ◽  
...  

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 and iterative 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 theoretical framework was translated in a data framework with measurable quality indicators. The construction of the data base included sampling procedures, data-collection, and several technical and privacy-related aspects of linking and accessing Belgian datasets.Results. To address three dimensions of quality of care, we integrated the chronic care model and cascade of care approach, addressing respectively the structure related quality indicators and the process and outcome related indicators. The corresponding data framework is based on self-collected data at the primary care practice level (using the Assessment of quality of integrated care tool), and linked health insurance data with lab data at the patient level. Conclusion. In this study, we have described the transition of a theoretical quality of care framework to a unique multilevel database, which allows assessing the quality of diabetes care, by considering the complete care continuum (process and outcomes) as well as organizational characteristics of primary care practices.


2010 ◽  
Vol 40 (14) ◽  
pp. 58-59
Author(s):  
MICHELE G. SULLIVAN

Author(s):  
Joanna Mitri ◽  
Takehiro Sugiyama ◽  
Hirokazu Tanaka ◽  
Mitsuru Ohsugi ◽  
Robert A. Gabbay

2021 ◽  
Author(s):  
Xinyun Liang ◽  
Jacob Etches ◽  
Bogdan Pinzaru ◽  
Karen Tu ◽  
Liisa Jaakkimainen ◽  
...  

2007 ◽  
Vol 22 (4) ◽  
pp. 448-452 ◽  
Author(s):  
Catherine Kim ◽  
W. Neil Steers ◽  
William H. Herman ◽  
Carol M. Mangione ◽  
K. M. Venkat Narayan ◽  
...  

BMJ Open ◽  
2012 ◽  
Vol 2 (4) ◽  
pp. e001387 ◽  
Author(s):  
Kornelis J J van Hateren ◽  
Iefke Drion ◽  
Nanne Kleefstra ◽  
Klaas H Groenier ◽  
Sebastiaan T Houweling ◽  
...  

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