Alpha 2.0
Login Register
» Articles » PMID: 31364599

Real-World Use of Do-It-Yourself Artificial Pancreas Systems in Children and Adolescents With Type 1 Diabetes: Online Survey and Analysis of Self-Reported Clinical Outcomes

Overview
Journal JMIR Mhealth Uhealth
Specialties Biomedical Engineering
Medical Informatics
Date 2019 Aug 1
PMID 31364599
Citations 43
Authors
Katarina Braune
Shane ODonnell
Bryan Cleal
Dana Lewis
Adrian Tappe
Ingrid Willaing
Bastian Hauck
Klemens Raile
Affiliations
Soon will be listed here.
Abstract

Background: Patient-driven initiatives have made uptake of Do-it-Yourself Artificial Pancreas Systems (DIYAPS) increasingly popular among people with diabetes of all ages. Observational studies have shown improvements in glycemic control and quality of life among adults with diabetes. However, there is a lack of research examining outcomes of children and adolescents with DIYAPS in everyday life and their social context.

Objective: This survey assesses the self-reported clinical outcomes of a pediatric population using DIYAPS in the real world.

Methods: An online survey was distributed to caregivers to assess the hemoglobin A levels and time in range (TIR) before and after DIYAPS initiation and problems during DIYAPS use.

Results: A total of 209 caregivers of children from 21 countries responded to the survey. Of the children, 47.4% were female, with a median age of 10 years, and 99.4% had type 1 diabetes, with a median duration of 4.3 years (SD 3.9). The median duration of DIYAPS use was 7.5 (SD 10.0) months. Clinical outcomes improved significantly, including the hemoglobin A levels (from 6.91% [SD 0.88%] to 6.27% [SD 0.67]; P<.001) and TIR (from 64.2% [SD 15.94] to 80.68% [SD 9.26]; P<.001).

Conclusions: Improved glycemic outcomes were found across all pediatric age groups, including adolescents and very young children. These findings are in line with clinical trial results from commercially developed closed-loop systems.

Citing Articles

Experiences and opinions of adults with type 1 diabetes on the android-based open-source closed-loop system in China: a qualitative study.

Huang Q, Ni Y, Lei M, Ling P, Yan J, Guo X BMJ Open. 2025; 15(1):e094333.

PMID: 39819904 PMC: 11751815. DOI: 10.1136/bmjopen-2024-094333.

Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives.

Cleal B, Chen Y, Waldchen M, Ballhausen H, Cooper D, ODonnell S J Med Internet Res. 2025; 27():e48406.

PMID: 39761553 PMC: 11747533. DOI: 10.2196/48406.

Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data.

Degen I, Robson Brown K, Reeve H, Abdallah Z JMIRx Med. 2024; 5:e44384.

PMID: 39654139 PMC: 11612581. DOI: 10.2196/44384.

Retrospective Comparison of Commercially Available Automated Insulin Delivery With Open-Source Automated Insulin Delivery Systems in Type 1 Diabetes.

Schutz A, Rami-Merhar B, Schutz-Fuhrmann I, Blauensteiner N, Baumann P, Pottler T J Diabetes Sci Technol. 2024; :19322968241230106.

PMID: 38366626 PMC: 11571566. DOI: 10.1177/19322968241230106.

Experiences Among Patients With Cystic Fibrosis in the MucoExocet Study of Using Connected Devices for the Management of Pulmonary Exacerbations: Grounded Theory Qualitative Research.

Morsa M, Perrin A, David V, Rault G, Le Roux E, Alberti C JMIR Form Res. 2024; 8:e38064.

PMID: 38261372 PMC: 10848132. DOI: 10.2196/38064.

References
1.
Harris P, Taylor R, Thielke R, Payne J, Gonzalez N, Conde J . Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2008; 42(2):377-81. PMC: 2700030. DOI: 10.1016/j.jbi.2008.08.010. View
2.
Lovaas K, Cooper J, Sandberg S, Roraas T, Thue G . Feasibility of using self-reported patient data in a national diabetes register. BMC Health Serv Res. 2015; 15:553. PMC: 4678468. DOI: 10.1186/s12913-015-1226-0. View
3.
Lewis D, Leibrand S . Real-World Use of Open Source Artificial Pancreas Systems. J Diabetes Sci Technol. 2016; 10(6):1411. PMC: 5094342. DOI: 10.1177/1932296816665635. View
4.
Tauschmann M, Allen J, Wilinska M, Thabit H, Acerini C, Dunger D . Home Use of Day-and-Night Hybrid Closed-Loop Insulin Delivery in Suboptimally Controlled Adolescents With Type 1 Diabetes: A 3-Week, Free-Living, Randomized Crossover Trial. Diabetes Care. 2016; 39(11):2019-2025. PMC: 5079605. DOI: 10.2337/dc16-1094. View
5.
Garg S, Weinzimer S, Tamborlane W, Buckingham B, Bode B, Bailey T . Glucose Outcomes with the In-Home Use of a Hybrid Closed-Loop Insulin Delivery System in Adolescents and Adults with Type 1 Diabetes. Diabetes Technol Ther. 2017; 19(3):155-163. PMC: 5359676. DOI: 10.1089/dia.2016.0421. View