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

BackgroundAutomated insulin delivery (AID) systems have been shown to be safe and effective in reducing hyperglycemia and hypoglycemia but are not universally available, accessible, or affordable. Therefore, user-driven open-source AID systems are becoming increasingly popula...

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Main Authors: Braune, Katarina, Gajewska, Katarzyna Anna, Thieffry, Axel, Lewis, Dana Michelle, Froment, Timothée, O'Donnell, Shane, Speight, Jane, Hendrieckx, Christel, Schipp, Jasmine, Skinner, Timothy, Langstrup, Henriette, Tappe, Adrian, Raile, Klemens, Cleal, Bryan
Format: Article
Language:English
Published: JMIR Publications 2021-06-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/6/e25409
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spelling doaj-01a85a079f334ee2b6564aa3524031282021-06-07T13:32:30ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-06-01236e2540910.2196/25409Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational SurveyBraune, KatarinaGajewska, Katarzyna AnnaThieffry, AxelLewis, Dana MichelleFroment, TimothéeO'Donnell, ShaneSpeight, JaneHendrieckx, ChristelSchipp, JasmineSkinner, TimothyLangstrup, HenrietteTappe, AdrianRaile, KlemensCleal, Bryan BackgroundAutomated insulin delivery (AID) systems have been shown to be safe and effective in reducing hyperglycemia and hypoglycemia but are not universally available, accessible, or affordable. Therefore, user-driven open-source AID systems are becoming increasingly popular. ObjectiveThis study aims to investigate the motivations for which people with diabetes (types 1, 2, and other) or their caregivers decide to build and use a personalized open-source AID. MethodsA cross-sectional web-based survey was conducted to assess personal motivations and associated self-reported clinical outcomes. ResultsOf 897 participants from 35 countries, 80.5% (722) were adults with diabetes and 19.5% (175) were caregivers of children with diabetes. Primary motivations to commence open-source AID included improving glycemic outcomes (476/509 adults, 93.5%, and 95/100 caregivers, 95%), reducing acute (443/508 adults, 87.2%, and 96/100 caregivers, 96%) and long-term (421/505 adults, 83.3%, and 91/100 caregivers, 91%) complication risk, interacting less frequently with diabetes technology (413/509 adults, 81.1%; 86/100 caregivers, 86%), improving their or child’s sleep quality (364/508 adults, 71.6%, and 80/100 caregivers, 80%), increasing their or child’s life expectancy (381/507 adults, 75.1%, and 84/100 caregivers, 84%), lack of commercially available AID systems (359/507 adults, 70.8%, and 79/99 caregivers, 80%), and unachieved therapy goals with available therapy options (348/509 adults, 68.4%, and 69/100 caregivers, 69%). Improving their own sleep quality was an almost universal motivator for caregivers (94/100, 94%). Significant improvements, independent of age and gender, were observed in self-reported glycated hemoglobin (HbA1c), 7.14% (SD 1.13%; 54.5 mmol/mol, SD 12.4) to 6.24% (SD 0.64%; 44.7 mmol/mol, SD 7.0; P<.001), and time in range (62.96%, SD 16.18%, to 80.34%, SD 9.41%; P<.001). ConclusionsThese results highlight the unmet needs of people with diabetes, provide new insights into the evolving phenomenon of open-source AID technology, and indicate improved clinical outcomes. This study may inform health care professionals and policy makers about the opportunities provided by open-source AID systems. International Registered Report Identifier (IRRID)RR2-10.2196/15368https://www.jmir.org/2021/6/e25409
collection DOAJ
language English
format Article
sources DOAJ
author Braune, Katarina
Gajewska, Katarzyna Anna
Thieffry, Axel
Lewis, Dana Michelle
Froment, Timothée
O'Donnell, Shane
Speight, Jane
Hendrieckx, Christel
Schipp, Jasmine
Skinner, Timothy
Langstrup, Henriette
Tappe, Adrian
Raile, Klemens
Cleal, Bryan
spellingShingle Braune, Katarina
Gajewska, Katarzyna Anna
Thieffry, Axel
Lewis, Dana Michelle
Froment, Timothée
O'Donnell, Shane
Speight, Jane
Hendrieckx, Christel
Schipp, Jasmine
Skinner, Timothy
Langstrup, Henriette
Tappe, Adrian
Raile, Klemens
Cleal, Bryan
Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey
Journal of Medical Internet Research
author_facet Braune, Katarina
Gajewska, Katarzyna Anna
Thieffry, Axel
Lewis, Dana Michelle
Froment, Timothée
O'Donnell, Shane
Speight, Jane
Hendrieckx, Christel
Schipp, Jasmine
Skinner, Timothy
Langstrup, Henriette
Tappe, Adrian
Raile, Klemens
Cleal, Bryan
author_sort Braune, Katarina
title Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey
title_short Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey
title_full Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey
title_fullStr Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey
title_full_unstemmed Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey
title_sort why #wearenotwaiting—motivations and self-reported outcomes among users of open-source automated insulin delivery systems: multinational survey
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2021-06-01
description BackgroundAutomated insulin delivery (AID) systems have been shown to be safe and effective in reducing hyperglycemia and hypoglycemia but are not universally available, accessible, or affordable. Therefore, user-driven open-source AID systems are becoming increasingly popular. ObjectiveThis study aims to investigate the motivations for which people with diabetes (types 1, 2, and other) or their caregivers decide to build and use a personalized open-source AID. MethodsA cross-sectional web-based survey was conducted to assess personal motivations and associated self-reported clinical outcomes. ResultsOf 897 participants from 35 countries, 80.5% (722) were adults with diabetes and 19.5% (175) were caregivers of children with diabetes. Primary motivations to commence open-source AID included improving glycemic outcomes (476/509 adults, 93.5%, and 95/100 caregivers, 95%), reducing acute (443/508 adults, 87.2%, and 96/100 caregivers, 96%) and long-term (421/505 adults, 83.3%, and 91/100 caregivers, 91%) complication risk, interacting less frequently with diabetes technology (413/509 adults, 81.1%; 86/100 caregivers, 86%), improving their or child’s sleep quality (364/508 adults, 71.6%, and 80/100 caregivers, 80%), increasing their or child’s life expectancy (381/507 adults, 75.1%, and 84/100 caregivers, 84%), lack of commercially available AID systems (359/507 adults, 70.8%, and 79/99 caregivers, 80%), and unachieved therapy goals with available therapy options (348/509 adults, 68.4%, and 69/100 caregivers, 69%). Improving their own sleep quality was an almost universal motivator for caregivers (94/100, 94%). Significant improvements, independent of age and gender, were observed in self-reported glycated hemoglobin (HbA1c), 7.14% (SD 1.13%; 54.5 mmol/mol, SD 12.4) to 6.24% (SD 0.64%; 44.7 mmol/mol, SD 7.0; P<.001), and time in range (62.96%, SD 16.18%, to 80.34%, SD 9.41%; P<.001). ConclusionsThese results highlight the unmet needs of people with diabetes, provide new insights into the evolving phenomenon of open-source AID technology, and indicate improved clinical outcomes. This study may inform health care professionals and policy makers about the opportunities provided by open-source AID systems. International Registered Report Identifier (IRRID)RR2-10.2196/15368
url https://www.jmir.org/2021/6/e25409
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