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

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 appropria...

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Veröffentlicht in:Endocrine 2024-05, Vol.84 (2), p.441-449
Hauptverfasser: Irace, Concetta, Acmet, Elena, Cutruzzolà, Antonio, Parise, Martina, Ponzani, Paola, Scarpitta, Antonietta Maria, Candido, Riccardo
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Sprache:eng
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Zusammenfassung: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 HbA 1c value and ongoing treatment, which however, become crucial in combination with pattern analysis in the therapeutical choice.
ISSN:1559-0100
1355-008X
1559-0100
DOI:10.1007/s12020-023-03605-2