Outcomes of Patients’ Evidence With Novel, Do-It-Yourself Artificial Pancreas Technology

Informazioni relative al progetto

OPEN

ID dell’accordo di sovvenzione: 823902

DOI 10.3030/823902

Progetto chiuso

Data della firma CE 1 Ottobre 2018

Data di avvio 1 Febbraio 2019

Data di completamento 30 Aprile 2023

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 1 021 200,00

Contributo UE € 1 021 200,00

Coordinato da

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Ireland

Pubblicazioni

Peer reviewed articles (12)

Variability of Glycemic Outcomes and Insulin Requirements Throughout the Menstrual Cycle: A Qualitative Study on Women With Type 1 Diabetes Using an Open-Source Automated Insulin Delivery System

Autori: Mewes D, Wäldchen M, Knoll C, Raile K, Braune K
Pubblicato in: Journal of Diabetes Science and Technology, Numero 2022 Mar 7, 2022, ISSN 1932-3107
Editore: SAGE
DOI: 10.1177/19322968221080199

"Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey"

Autori: Braune K, Gajewska KA, Thieffry A, Lewis DM, Froment T, O’Donnell S, Speight J, Hendrieckx C, Schipp J, Skinner T, Langstrup H, Tappe A, Raile K, Cleal B
Pubblicato in: Journal of Medical Internet Research, Numero 2021 Jun 7;23(6), 2021, Pagina/e e25409, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/25409

Barriers to Uptake of Open-Source Automated Insulin Delivery Systems: Analysis of Socioeconomic Factors and Perceived Challenges of Caregivers of Children and Adolescents With Type 1 Diabetes From the OPEN Survey

Autori: Antonia Huhndt, Yanbing Chen,Shane O’Donnell, Drew Cooper, Hanne Ballhausen, Katarzyna A. Gajewska, Timothée Froment, Mandy Wäldchen, Dana M. Lewis, Klemens Raile, Timothy C. Skinner, and Katarina Braune
Pubblicato in: Frontiers in Clinical Diabetes and Healthcare, 2022, ISSN 2673-6616
Editore: Frontiers
DOI: 10.3389/fcdhc.2022.876511

Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis

Autori: Zafar, Ahtsham; Lewis, Dana; Shahid, Arsalan
Pubblicato in: Healthcare, Numero 11, 6, 1, 2023, Pagina/e 1-21, ISSN 2227-9032
Editore: MDPI
DOI: 10.3390/healthcare11060779

Real-world evidence on clinical outcomes of people with type 1 diabetes using open-source and commercial automated insulin dosing systems: A systematic review

Autori: Knoll C, Peacock S, Wäldchen M, Cooper D, Aulakh SK, Raile K, Hussain S, Braune K
Pubblicato in: Diabetic Medicine, 2021, ISSN 1464-5491
Editore: Wiley-Blackwell Publishing Ltd.
DOI: 10.1111/dme.14741

Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems

Autori: Shahid, Arsalan; Lewis, Dana
Pubblicato in: Nutrients, 2023, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14091906

Emotional and Physical Health Impact in Children and Adolescents and Their Caregivers Using Open-source Automated Insulin Delivery: Qualitative Analysis of Lived Experiences

Autori: Braune, Katarina; Krug, Niklas; Knoll, Christine; Ballhausen, Hanne; Thieffry, Axel; Chen, Yanbing; O'Donnell, Shane; Raile, Klemens; Cleal, Bryan
Pubblicato in: Journal of Medical Internet Research, Numero 24, 7, 2022, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/37120

Barriers to uptake of Open-Source automated insulin delivery Systems: Analysis of socioeconomic factors and perceived challenges of adults with type 1 diabetes from the OPEN survey

Autori: O'Donnell, Shane; Cooper, Drew; Chen, Yanbing; Froment, Timothée; Gajewska Katarzyna Anna; Tappe Adrian; Skinner, Timothy ; Cleal, Bryan; Braune, Katarina
Pubblicato in: Diabetes Research and Clinical Practice, Numero 197,1,7, 2023, Pagina/e 1-7, ISSN 0168-8227
Editore: Elsevier BV
DOI: 10.1016/j.diabres.2022.110235

Evidence on User-Led Innovation in Diabetes Technology (The OPEN Project): Protocol for a Mixed Methods Study

Autori: Shane O'Donnell, Dana Lewis, María Marchante Fernández, Mandy Wäldchen, Bryan Cleal, Timothy Skinner, Klemens Raile, Adrian Tappe, Tebbe Ubben, Ingrid Willaing, Bastian Hauck, Saskia Wolf, Katarina Braune
Pubblicato in: JMIR Research Protocols, Numero 8/11, 2019, Pagina/e e15368, ISSN 1929-0748
Editore: JMIR
DOI: 10.2196/15368

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

Autori: Katarina Braune, Shane O'Donnell, Bryan Cleal, Dana Lewis, Adrian Tappe, Ingrid Willaing, Bastian Hauck, Klemens Raile
Pubblicato in: JMIR mHealth and uHealth, Numero 7/7, 2019, Pagina/e e14087, ISSN 2291-5222
Editore: JMIR mHealth and uHealth
DOI: 10.2196/14087

An Open-Source Web Portal for Managing Self-reported Data and Real-world Data Donation in Diabetes Research: Feasibility Study.

Autori: Drew Cooper; Tebbe Ubben; Christine Knoll; Hanne Ballhausen; Shane O'Donnell; Katarina Braune; Dana Lewis
Pubblicato in: JMIR Diabetes, Numero 10.2196/33213, 2022, ISSN 2371-4379
Editore: JMIR Publications inc.
DOI: 10.2196/33213

Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals

Autori: Braune K, Lal RA, Petruželková L, Scheiner G, Winterdijk P, Schmidt S, Raimond L, Hood KK, Riddell MC, Skinner TC, Raile K, Hussain S
Pubblicato in: Lancet Diabetes & Endocrinoly, Numero 2022 Jan 1;10(1), 2021, Pagina/e 58-74, ISSN 2213-8587
Editore: Elsevier BV
DOI: 10.1016/s2213-8587(21)00267-9