Background: Use of open-source automated insulin delivery (AID) is associated with improved psychosocial outcomes among people with type 1 diabetes (T1D) . However, research to date has been qualitative or used study-specific single items. There is a need for quantitative research using validated measures in larger samples.
Method: We conducted an international online survey to examine the psychosocial outcomes of open-source AID users and non-users. Validated questionnaires assessed diabetes-specific quality of life (QoL) , impact of the COVID-pandemic on diabetes-specific QoL, diabetes specific-positive well-being, diabetes treatment satisfaction, diabetes distress, fear of hypoglycaemia, general emotional well-being, and subjective sleep quality.
Results: 587 participants completed at least one questionnaire, including 447 adults using open-source AID (mean age 43, 42% women) and 140 non-users (mean age 40, 64% women) . Table 1 shows significant between-group differences for all questionnaire scores.
Discussion: Adults with T1D using open-source AID report significantly better psychosocial outcomes than non-users. Due to the cross-sectional design of this study, we cannot make any causal inferences about the use of these devices. Further research is needed to examine the reasons for these differences.
J.Schipp: None. T.C.Skinner: None. J.Speight: Advisory Panel; Insulet Corporation, Research Support; Novo Nordisk, Sanofi. C.Hendrieckx: None. K.Braune: None. S.O'donnell: None. H.Ballhausen: None. B.Cleal: None. M.Wäldchen: None. C.Knoll: None. K.A.Gajewska: None.
European Commission Horizon 2020 (823902)