In the information world we are overwhelmed with various medical systems and institution that collect diabetes data for different purposes, including clinical and scientific analysis, insurance evaluation and monitoring, financial compensation etc. Although not all data are suitable for epidemiological and public health purposes, some of them can be very useful and are already utilised in some areas on a regular basis. Existing data sources for clinical epidemiology and secondary data together with primary studies can improve data, and supplement the sources to enable better insight into the patient-centred diabetes care.
This Research Topic aims to present current knowledge in the field of diabetes data in clinical epidemiology including available sources, routes of collection, and protocols for quality improvements as well as challenges of existing clinical and population based datasets and registries. Besides reviews of existing knowledge and examples of good practices, patient views and expectation from the diabetes data and registries as well as impact of diabetes data collection and registries on quality of diabetes care and health outcomes are very welcome.
In the information world we are overwhelmed with various medical systems and institution that collect diabetes data for different purposes, including clinical and scientific analysis, insurance evaluation and monitoring, financial compensation etc. Although not all data are suitable for epidemiological and public health purposes, some of them can be very useful and are already utilised in some areas on a regular basis. Existing data sources for clinical epidemiology and secondary data together with primary studies can improve data, and supplement the sources to enable better insight into the patient-centred diabetes care.
This Research Topic aims to present current knowledge in the field of diabetes data in clinical epidemiology including available sources, routes of collection, and protocols for quality improvements as well as challenges of existing clinical and population based datasets and registries. Besides reviews of existing knowledge and examples of good practices, patient views and expectation from the diabetes data and registries as well as impact of diabetes data collection and registries on quality of diabetes care and health outcomes are very welcome.
