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. 2024 May;84(2):441-449.
doi: 10.1007/s12020-023-03605-2. Epub 2023 Nov 23.

Digital technology and healthcare delivery in insulin-treated adults with diabetes: a proposal for analysis of self-monitoring blood glucose patterns using a dedicated platform

Concetta Irace  1 , Elena Acmet  2 , Antonio Cutruzzolà  3 , Martina Parise  4 , Paola Ponzani  5 , Antonietta Maria Scarpitta  6 , Riccardo Candido  7
Affiliations

Digital technology and healthcare delivery in insulin-treated adults with diabetes: a proposal for analysis of self-monitoring blood glucose patterns using a dedicated platform

Concetta Irace et al. Endocrine. 2024 May.

Abstract

Purpose: A remote platform for diabetes care (Roche Diabetes® Care Platform, RDCP) has been developed that allows combined face-to-face consultations and remote patient monitoring (RPM).

Methods: A dedicated flowchart is proposed as a clinical approach to help healthcare professionals in the appropriate interpretation of structured self-monitoring blood glucose data, as visualized on the RDCP during the visits, and in the optimal management of patients using the integrated RDCP-RPM tools.

Results: The platform organizes patterns in different blocks: (i) hypoglycemia; (ii) hyperglycemia; (iii) blood glucose variability; (iv) treatment adherence, which identifies a possible individual pattern according to glycemic control challenges, potential causal factors, and behavioral type patterns. The flowchart proposed for use of the RDCP-RPM is self-explanatory and entails 3 steps: (1) evaluation of quality and quantity of self-monitoring blood glucose data; (2) pattern analysis; (3) personalized suggestions and therapy changes.

Conclusion: The main aim of the remote treatment flowchart proposed is to support healthcare professionals in the identification of hypoglycemic and hyperglycemic patterns using the RDCP regardless of the HbA1c value and ongoing treatment, which however, become crucial in combination with pattern analysis in the therapeutical choice.

Keywords: Diabetes management; Digital health; Digital technology; Glycemic pattern; Self-monitoring of blood glucose.

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Conflict of interest statement

C.I. has provided advisory board services for Novo Nordisk, Lilly, Roche Diabetes Care Italy, Abbott, Menarini, Ascensia, and Senseonics and has received speaker fees for Novo Nordisk, Roche Diabetes Care Italy, Abbott, Ascensia, Lilly, and Boehringer Ingelheim Pharmaceuticals. E.A. is employee of Roche Diabetes Care (Italy). A.C., M.P., and P.P. have no conflicts of interest to declare that are relevant to the content of this article. AM. S. has received speaking fees from Sanofi. R.C. has received speaking fees from Astra Zeneca, Boehringer Ingelheim, Eli-Lilly, Novo Nordisk, Sanofi-Aventis, Abbott, MSD Italia, Menarini, Ascensia Diabetes and has received consultancy fees from Boehringer Ingelheim, Eli-Lilly, Novo Nordisk, Bayer, Sanofi-Aventis, Roche Diabetes Care, MSD Italia, Abbott.

Figures

Fig. 1
Fig. 1
Diabetes management flowchart with SMBG data in T2D using the RDCP with pattern analysis
Fig. 2
Fig. 2
Example to evaluate the quantity and quality of SMBG data using the RDCP
Fig. 3
Fig. 3
Example of defining the hypoglycemic pattern and illustrating the pattern using the RDCP
See this image and copyright information in PMC

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