DigiDiab Evaluation Domiciliary Nursing Care

NCT06616779 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2025-08-01

No results posted yet for this study

Summary

GlucoTab is a stand-alone software system to support healthcare professionals in the care of patients with diabetes mellitus or newly diagnosed hyperglycaemia who are treated with insulin and/or other glucose-lowering drugs or of patients only requiring glucose monitoring.

It provides a therapy algorithm for subcutaneous basal insulin therapy of patients with type 2 diabetes, which will be used in this study.

Conditions

  • Type 2 Diabetes
  • Type 2 Diabetes Mellitus (T2DM)
  • Type 2 Diabetes, Insulin Requiring

Interventions

DEVICE

GlucoTab

Insulin therapy will be started and adjusted according to the GlucoTab system with incorporated software algorithm. The goal of the basal insulin algorithm is to maintain blood glucose (BG) within acceptable targets according to the predefined health status. For a limited time period after therapy start, three BG measurements per day are suggested by the algorithm to determine blood glucose. Insulin dosage titration will be performed according to the algorithm in GlucoTab under supervision of the nurses of domiciliary nursing care. Correctional bolus insulin will be administered at defined time-points according to BG targets in the predefined health status. Nurses and nursing assistants will be trained in the use of the GlucoTab system.

OTHER

Diabetes Treatment

Diabetes Standard Care

Sponsors & Collaborators

  • Medical University of Graz

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-11-30
Primary Completion
2025-03-31
Completion
2025-04-15

Countries

  • Austria

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06616779 on ClinicalTrials.gov