Publications by authors named "M Le Breton"

Using a multistep machine-learning procedure, add virtual continuous glucose monitoring (CGM) traces to the original sparse data of the landmark Diabetes Control and Complications Trial (DCCT). Assess the association of CGM metrics with the microvascular complications of type 1 diabetes observed during the DCCT and establish time-in-range (TIR) as a viable marker of glycemic control. Utilizing the DCCT glycated hemoglobin data obtained every 1 or 3 months plus quarterly 7-point blood glucose (BG) profiles in a multistep procedure: (i) utilized archival BG traces to model interday BG variability and estimate glycated hemoglobin; (ii) trained across the DCCT BG profiles and associated each profile with an archival BG trace; and (iii) used previously identified CGM "motifs" to associate a CGM trace to a BG trace, for each DCCT participant.

View Article and Find Full Text PDF

Background: This study aimed to develop an organizational typology of Interprofessional Primary Care (IPC) teams in Quebec, Canada, by describing their organizational profiles and assessing the association between the characteristics of the populations served and the organizational profiles.

Methods: This cross-sectional study was carried out using a finite mixture model of the 2021 financial monitoring data from the Ministry of Health and Social Services of Quebec. The population consisted of all IPC teams in Quebec (N = 368).

View Article and Find Full Text PDF

Canada is experiencing an unprecedented primary care crisis, with 6.5 million Canadians reporting lacking a family physician, including 31% of the Quebec population. To address this problem, the province of Quebec implemented Primary Care Access Points (GAPs) to help unattached patients navigate and access primary care services while awaiting attachment.

View Article and Find Full Text PDF

Rationale: Awareness of their standing relative to best practices motivates primary healthcare (PHC) teams to improve their practices. However, gathering the data necessary to create such a portrait is a challenge. An effective way to support the improvement of the practices of PHC teams is to simplify the availability of data portraying aspects of their practices that might need improvement.

View Article and Find Full Text PDF

Automated insulin delivery (AID) is widely available to people with type 1 diabetes (T1D), providing superior glycemic control versus traditional methods. The next generation of AID devices focus on minimizing user/device interactions, especially around meals ("full closed loop," [FCL]). Our goal was to assess the postprandial glycemic impact of the bolus priming system (BPS), an algorithm delivering fixed insulin doses based on the likelihood of a meal having occurred, in conjunction with UVA's latest AID.

View Article and Find Full Text PDF