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

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Standard

Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems : Multinational Survey. / Braune, Katarina; Gajewska, Katarzyna Anna; Thieffry, Axel; Lewis, Dana Michelle; Froment, Timothee; O'Donnell, Shane; Speight, Jane; Hendrieckx, Christel; Schipp, Jasmine; Skinner, Timothy; Langstrup, Henriette; Tappe, Adrian; Raile, Klemens; Cleal, Bryan.

I: Journal of Medical Internet Research, Bind 23, Nr. 6, 25409, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

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 2021, 'Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey', Journal of Medical Internet Research, bind 23, nr. 6, 25409. https://doi.org/10.2196/25409

APA

Braune, K., Gajewska, K. A., Thieffry, A., Lewis, D. M., Froment, T., O'Donnell, S., Speight, J., Hendrieckx, C., Schipp, J., Skinner, T., Langstrup, H., Tappe, A., Raile, K., & Cleal, B. (2021). Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey. Journal of Medical Internet Research, 23(6), [25409]. https://doi.org/10.2196/25409

Vancouver

Braune K, Gajewska KA, Thieffry A, Lewis DM, Froment T, O'Donnell S o.a. Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey. Journal of Medical Internet Research. 2021;23(6). 25409. https://doi.org/10.2196/25409

Author

Braune, Katarina ; Gajewska, Katarzyna Anna ; Thieffry, Axel ; Lewis, Dana Michelle ; Froment, Timothee ; 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. I: Journal of Medical Internet Research. 2021 ; Bind 23, Nr. 6.

Bibtex

@article{b7bd53872b594a4cb6a87509ae3880aa,
title = "Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey",
abstract = "Background: Automated 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.Objective: This 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.Methods: A cross-sectional web-based survey was conducted to assess personal motivations and associated self-reported clinical outcomes.Results: Of 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 (HbA(1c)), 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; PConclusions: These 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.",
keywords = "diabetes, artificial pancreas, automated insulin delivery, open-source, patient-led, user-led, peer support, online communities, diabetes technology, digital health, mobile health, medical device regulation, motivation, sleep quality, do-it-yourself, SLEEP-DEPRIVATION, GLYCEMIC CONTROL, METAANALYSIS, DEPRESSION, DURATION, TIME",
author = "Katarina Braune and Gajewska, {Katarzyna Anna} and Axel Thieffry and Lewis, {Dana Michelle} and Timothee Froment and Shane O'Donnell and Jane Speight and Christel Hendrieckx and Jasmine Schipp and Timothy Skinner and Henriette Langstrup and Adrian Tappe and Klemens Raile and Bryan Cleal",
year = "2021",
doi = "10.2196/25409",
language = "English",
volume = "23",
journal = "Journal of Medical Internet Research",
issn = "1439-4456",
publisher = "JMIR Publications",
number = "6",

}

RIS

TY - JOUR

T1 - Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems

T2 - Multinational Survey

AU - Braune, Katarina

AU - Gajewska, Katarzyna Anna

AU - Thieffry, Axel

AU - Lewis, Dana Michelle

AU - Froment, Timothee

AU - O'Donnell, Shane

AU - Speight, Jane

AU - Hendrieckx, Christel

AU - Schipp, Jasmine

AU - Skinner, Timothy

AU - Langstrup, Henriette

AU - Tappe, Adrian

AU - Raile, Klemens

AU - Cleal, Bryan

PY - 2021

Y1 - 2021

N2 - Background: Automated 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.Objective: This 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.Methods: A cross-sectional web-based survey was conducted to assess personal motivations and associated self-reported clinical outcomes.Results: Of 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 (HbA(1c)), 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; PConclusions: These 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.

AB - Background: Automated 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.Objective: This 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.Methods: A cross-sectional web-based survey was conducted to assess personal motivations and associated self-reported clinical outcomes.Results: Of 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 (HbA(1c)), 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; PConclusions: These 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.

KW - diabetes

KW - artificial pancreas

KW - automated insulin delivery

KW - open-source

KW - patient-led

KW - user-led

KW - peer support

KW - online communities

KW - diabetes technology

KW - digital health

KW - mobile health

KW - medical device regulation

KW - motivation

KW - sleep quality

KW - do-it-yourself

KW - SLEEP-DEPRIVATION

KW - GLYCEMIC CONTROL

KW - METAANALYSIS

KW - DEPRESSION

KW - DURATION

KW - TIME

U2 - 10.2196/25409

DO - 10.2196/25409

M3 - Journal article

C2 - 34096874

VL - 23

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

SN - 1439-4456

IS - 6

M1 - 25409

ER -

ID: 272399480