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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | BMC Health Services Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12913-022-08625-8 |
| _version_ | 1828217935759409152 |
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| author | Buffel Veerle Danhieux Katrien Philippe Bos Remmen Roy Van Olmen Josefien Wouters Edwin |
| author_facet | Buffel Veerle Danhieux Katrien Philippe Bos Remmen Roy Van Olmen Josefien Wouters Edwin |
| author_sort | Buffel Veerle |
| collection | DOAJ |
| description | 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 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. |
| first_indexed | 2024-04-12T15:55:48Z |
| format | Article |
| id | doaj.art-1b2502f7d1a24a33b6305c5bce7abd7c |
| institution | Directory Open Access Journal |
| issn | 1472-6963 |
| language | English |
| last_indexed | 2024-04-12T15:55:48Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj.art-1b2502f7d1a24a33b6305c5bce7abd7c2022-12-22T03:26:22ZengBMCBMC Health Services Research1472-69632022-10-0122111710.1186/s12913-022-08625-8Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of BelgiumBuffel Veerle0Danhieux Katrien1Philippe Bos2Remmen Roy3Van Olmen Josefien4Wouters Edwin5Department of Sociology, University of AntwerpDepartment of family medicine and population health, University of AntwerpDepartment of Sociology, University of AntwerpDepartment of family medicine and population health, University of AntwerpDepartment of family medicine and population health, University of AntwerpDepartment of Sociology, University of AntwerpAbstract 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 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.https://doi.org/10.1186/s12913-022-08625-8Primary careRoutinely Collected DataQuality of HealthcareType 2 DiabetesIntegrated Delivery Systems |
| spellingShingle | Buffel Veerle Danhieux Katrien Philippe Bos Remmen Roy Van Olmen Josefien Wouters Edwin Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium BMC Health Services Research Primary care Routinely Collected Data Quality of Healthcare Type 2 Diabetes Integrated Delivery Systems |
| title | Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium |
| title_full | Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium |
| title_fullStr | Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium |
| title_full_unstemmed | Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium |
| title_short | Development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of Belgium |
| title_sort | development and operationalization of a data framework to assess quality of integrated diabetes care in the fragmented data landscape of belgium |
| topic | Primary care Routinely Collected Data Quality of Healthcare Type 2 Diabetes Integrated Delivery Systems |
| url | https://doi.org/10.1186/s12913-022-08625-8 |
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