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