Aims The aim of the article is to describe the method for creating a close to ideal
diabetes database. The MÉRY Diabetes Database (MDD) consists of a large quantity of
reliable, well-maintained, precise and up-to-date data suited for clinical research
with the intention to improve diabetes care in terms of maintaining targeted blood
glucose levels, avoiding hypoglycemic episodes and complications and improving patient
compliance and quality of life. Methods Based on the analysis of the databases found
in the literature and the experience of our research team, nine important characteristics
were identified as critical to an ideal diabetes database. The data for our database
is collected using MÉRYkék glucometers, a device that meets all requirements of international
regulations and measures blood glucose levels within the normal range with appropriate
precision (10 %). Results Using the key characteristics defined, we were able to create
a database suitable for the analysis of a large amount of data regarding diabetes
care and outcomes. Conclusions The MDD is a reliable and ever growing database which
provides stable and expansive foundation for extensive clinical investigations that
hold the potential to significantly influence the trajectory of diabetes care and
enhance patient outcomes.
