Literature DB >> 34785000

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

Katarina Braune1, Rayhan A Lal2, Lenka Petruželková3, Gary Scheiner4, Per Winterdijk5, Signe Schmidt6, Linda Raimond6, Korey K Hood7, Michael C Riddell8, Timothy C Skinner9, Klemens Raile10, Sufyan Hussain11.   

Abstract

Open-source automated insulin delivery systems, commonly referred to as do-it-yourself automated insulin delivery systems, are examples of user-driven innovations that were co-created and supported by an online community who were directly affected by diabetes. Their uptake continues to increase globally, with current estimates suggesting several thousand active users worldwide. Real-world user-driven evidence is growing and provides insights into safety and effectiveness of these systems. The aim of this consensus statement is two-fold. Firstly, it provides a review of the current evidence, description of the technologies, and discusses the ethics and legal considerations for these systems from an international perspective. Secondly, it provides a much-needed international health-care consensus supporting the implementation of open-source systems in clinical settings, with detailed clinical guidance. This consensus also provides important recommendations for key stakeholders that are involved in diabetes technologies, including developers, regulators, and industry, and provides medico-legal and ethical support for patient-driven, open-source innovations.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Year:  2021        PMID: 34785000      PMCID: PMC8720075          DOI: 10.1016/S2213-8587(21)00267-9

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  77 in total

1.  Glycaemic control in individuals with type 1 diabetes using an open source artificial pancreas system (OpenAPS).

Authors:  Andreas Melmer; Thomas Züger; Dana M Lewis; Scott Leibrand; Christoph Stettler; Markus Laimer
Journal:  Diabetes Obes Metab       Date:  2019-07-05       Impact factor: 6.577

2.  "It Is Definitely a Game Changer": A Qualitative Study of Experiences with In-home Overnight Closed-Loop Technology Among Adults with Type 1 Diabetes.

Authors:  Christel Hendrieckx; Lucinda A Poole; Amin Sharifi; Dilshani Jayawardene; Margaret M Loh; Jodie C Horsburgh; Leon A Bach; Peter G Colman; Kavita Kumareswaran; Alicia J Jenkins; Richard J MacIsaac; Glenn M Ward; Benyamin Grosman; Anirban Roy; David N O'Neal; Jane Speight
Journal:  Diabetes Technol Ther       Date:  2017-05-24       Impact factor: 6.118

Review 3.  Efficacy, safety, and user experience of DIY or open-source artificial pancreas systems: a systematic review.

Authors:  N A M Asarani; A N Reynolds; M Elbalshy; M Burnside; M de Bock; D M Lewis; B J Wheeler
Journal:  Acta Diabetol       Date:  2020-10-31       Impact factor: 4.280

4.  Excellent Glycemic Control Maintained by Open-Source Hybrid Closed-Loop AndroidAPS During and After Sustained Physical Activity.

Authors:  Lenka Petruzelkova; Jan Soupal; Veronika Plasova; Pavlina Jiranova; Vit Neuman; Lukas Plachy; Stepanka Pruhova; Zdenek Sumnik; Barbora Obermannova
Journal:  Diabetes Technol Ther       Date:  2018-10-04       Impact factor: 6.118

5.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

6.  Participants' Experiences of, and Views About, Daytime Use of a Day-and-Night Hybrid Closed-Loop System in Real Life Settings: Longitudinal Qualitative Study.

Authors:  Julia Lawton; Maxine Blackburn; David Rankin; Janet M Allen; Fiona M Campbell; Lalantha Leelarathna; Martin Tauschmann; Hood Thabit; Malgorzata E Wilinska; Daniela Elleri; Roman Hovorka
Journal:  Diabetes Technol Ther       Date:  2019-02-05       Impact factor: 6.118

7.  Do-It-Yourself Artificial Pancreas Systems in Type 1 Diabetes: Perspectives of Two Adult Users, a Caregiver and Three Physicians.

Authors:  Dominic C Marshall; Melissa Holloway; Mendy Korer; James Woodman; Anna Brackenridge; Sufyan Hussain
Journal:  Diabetes Ther       Date:  2019-08-22       Impact factor: 2.945

8.  Safety Evaluation of the MiniMed 670G System in Children 7-13 Years of Age with Type 1 Diabetes.

Authors:  Gregory P Forlenza; Orit Pinhas-Hamiel; David R Liljenquist; Dorothy I Shulman; Timothy S Bailey; Bruce W Bode; Michael A Wood; Bruce A Buckingham; Kevin B Kaiserman; John Shin; Suiying Huang; Scott W Lee; Francine R Kaufman
Journal:  Diabetes Technol Ther       Date:  2018-12-26       Impact factor: 6.118

Review 9.  Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.

Authors:  Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

10.  Full closed loop open-source algorithm performance comparison in pigs with diabetes.

Authors:  Rayhan A Lal; Caitlin L Maikawa; Dana Lewis; Sam W Baker; Anton A A Smith; Gillie A Roth; Emily C Gale; Lyndsay M Stapleton; Joseph L Mann; Anthony C Yu; Santiago Correa; Abigail K Grosskopf; Celine S Liong; Catherine M Meis; Doreen Chan; Joseph P Garner; David M Maahs; Bruce A Buckingham; Eric A Appel
Journal:  Clin Transl Med       Date:  2021-04
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  9 in total

1.  Artificial Intelligence-Driven Intrusion Detection in Software-Defined Wireless Sensor Networks: Towards Secure IoT-Enabled Healthcare Systems.

Authors:  Shimbi Masengo Wa Umba; Adnan M Abu-Mahfouz; Daniel Ramotsoela
Journal:  Int J Environ Res Public Health       Date:  2022-04-28       Impact factor: 4.614

2.  Qualitative Study of User Experiences with Loop, an Open-Source Automated Insulin Delivery System.

Authors:  Sakinah C Suttiratana; Jessie J Wong; Monica S Lanning; Adrienne Dunlap; Sarah J Hanes; Korey K Hood; Rayhan A Lal; Diana Naranjo
Journal:  Diabetes Technol Ther       Date:  2022-05-12       Impact factor: 7.337

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

Authors:  Drew Cooper; Tebbe Ubben; Christine Knoll; Hanne Ballhausen; Shane O'Donnell; Katarina Braune; Dana Lewis
Journal:  JMIR Diabetes       Date:  2022-03-31

4.  Association of British Clinical Diabetologists, Diabetes Technology Network UK and Association of Children's Diabetes Clinicians Survey of UK Healthcare Professional Attitudes Towards Open-Source Automated Insulin Delivery Systems.

Authors:  Thomas S J Crabtree; Pratik Choudhary; Alistair Lumb; Peter Hammond; A McLay; Fiona Campbell; Sze M Ng; Emma G Wilmot; Sufyan Hussain
Journal:  Diabetes Ther       Date:  2022-01-31       Impact factor: 2.945

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

Authors:  Katarina Braune; Niklas Krug; Christine Knoll; Hanne Ballhausen; Axel Thieffry; Yanbing Chen; Shane O'Donnell; Klemens Raile; Bryan Cleal
Journal:  J Med Internet Res       Date:  2022-07-14       Impact factor: 7.076

6.  Re-framing type 1 diabetes care through open-source automated insulin delivery: 'The (expert) patient will see you now, doctor'.

Authors:  Sean F Dinneen; Liam McMorrow
Journal:  Diabet Med       Date:  2022-04-10       Impact factor: 4.213

Review 7.  A scoping review of Do-It-Yourself Automated Insulin Delivery system (DIY AID) use in people with type 1 diabetes.

Authors:  Amy E Morrison; Kimberley Chong; Peter A Senior; Anna Lam
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

8.  Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes.

Authors:  Dana M Lewis; Sufyan Hussain
Journal:  Diabetes Ther       Date:  2022-08-01       Impact factor: 3.595

Review 9.  Automated insulin delivery: benefits, challenges, and recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association.

Authors:  Jennifer L Sherr; Lutz Heinemann; G Alexander Fleming; Richard M Bergenstal; Daniela Bruttomesso; Hélène Hanaire; Reinhard W Holl; John R Petrie; Anne L Peters; Mark Evans
Journal:  Diabetologia       Date:  2022-10-06       Impact factor: 10.460

  9 in total

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