# Evaluating cloudcare, a population health management system, in persons with type 1 diabetes: an observational study

**Authors:** Cornelis A. J. van Beers, Sander Last, Pim Dekker, Erwin Birnie, Nico Riegman, Francisca van der Pluijm, Christine Fransman, Henk J. Veeze, Henk-Jan Aanstoot

PMC · DOI: 10.1186/s12902-025-01905-4 · 2025-03-31

## TL;DR

CloudCare, a population health management system, improves treatment satisfaction for people with type 1 diabetes while reducing healthcare professionals' workload and maintaining good blood sugar control.

## Contribution

This study evaluates the real-world impact of CloudCare on diabetes care outcomes and healthcare workflows.

## Key findings

- Treatment satisfaction of people with type 1 diabetes increased significantly after 6 months of using CloudCare.
- Healthcare professionals had fewer face-to-face contacts with patients, indicating reduced workload.
- Diabetes-related distress decreased over time, but glycemic control remained stable.

## Abstract

Innovations in diabetes technology have consistently improved outcomes of persons with type1 diabetes (PWDs). However, the volumes of data that these technologies yield require different workflows to alleviate healthcare professionals’ (HCPs) workload and prevent losing relevant data in between visits for interpretation and treatment adaptations. CloudCare is a population health management tool that continuously oversees data from groups of individual PWDs, based on remote monitoring, screening and triaging of individual PWDs. This study assesses the effect of CloudCare on treatment satisfaction of PWDs, HCPs’ workload and glycemic control of PWDs.

We evaluated the 6-month follow-up outcomes as part of an ongoing prospective cohort study analyzing the effect of CloudCare. Adult PWDs diagnosed > 6 months before inclusion were enrolled. The primary outcome was the change in PWD treatment satisfaction (DTSQc). Secondary outcomes included the number and type of contacts between HCPs and PWDs, diabetes-related distress (PAID-5), and glycemic control.

In September 2024, 175 participants had baseline data available, with a median age of 29.9 years and a median diabetes duration of 17 years. Differences between baseline and 6 months could be calculated for 119 participants. After 6 months follow-up, the median increase in PWDs’ treatment satisfaction (DTSQc) was + 6.0 (IQR 2–11; p < 0.001). The number of face-to-face contacts per PWD per 3 months decreased from 0.85 at baseline to 0.34 (p < 0.001) at 6 months. Diabetes-related distress was significantly decreased at 3 months (p < 0.001) and at 6 months (p = 0.034), compared with baseline. Glucometrics did not significantly change, with a TIR of 79% at baseline and 78% after 6 months (p = 0.39), and a mean glucose management indicator (GMI) of 50 mmol/mol (6.7%) at all timepoints.

In adult PWDs with good glycemic control, CloudCare decreases workload for HCPs, while increasing PWDs’ treatment satisfaction and maintaining excellent glycemic control during 6 months, showing this concept can be applied in modern diabetes care with high density data availability.

Clinicaltrials.gov identifier: NCT05431140; registration date 21-6-2023.

## Linked entities

- **Diseases:** type 1 diabetes (MONDO:0005147)

## Full-text entities

- **Diseases:** Diabetes (MESH:D003920), type 1 diabetes (MESH:D003922)
- **Chemicals:** glucose (MESH:D005947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11956218/full.md

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Source: https://tomesphere.com/paper/PMC11956218