Background and Aims

The advantages of technology-based management are important, but until a technological system will be able to autocorrect all the variations that occur in T1DM, the human factor plays a very important role.

This study quantifies through an innovative indicator the general condition of a patient with T1DM, both from a medical point of view and a life with diabetes perspective, aiming to generate a useful tool for determining the best candidate and the best moment to start technology in T1DM management.

Methods

We quantified 22 factors in order to calculate this indicator: HbA1c, TIR, Hypoglycemia, Compliance, Self-control, Weight, Disease understanding and knowledge, News updates, Family, Economical, Social, Education, Depression, Retinopathy, Renal, Neuropathy, BP, LDLc, eGFR, Urea, Triglycerides.

The ROMPEDET method was used to calculate the general status quantification indicator (GSQI) of a patient with T1D. GSQI will be calculated based on a Cobb - Douglas type function::

Results

Data was acquired through clinical and biological evaluation and specific questionnaires, on a group of 84 patients (38 on CGMS and CSII and 46 on MDI and SMBG).

GSQI was tested and revealed accuracy in over 97%of cases.

GSQI calculated shows that management using technology offers a better level of satisfaction than conventional management. On certain subgroups, there is an initial decrease of GSQI followed by an improvement, with the maximum after 2 years.

Conclusions

GSQI is a reliable indicator evaluating a map of diabetes status and diabetes interference in daily life, allowing the physician to choose the perfect moment for technological management transition.