The overall goal of this research program is to evaluate the effectiveness of a Technology-Enabled Collaborative Care program. In this study, we examine the feasibility of such a program, called the Technology-Enabled Collaborative Care (TECC) for type 2 diabetes designed to support patients with diabetes and mental health concerns during COVID-19.
There is growing concern regarding the impact of COVID-19 and social isolation on mental
health and wellbeing, particularly adults living with type 2 diabetes (T2DM), who are at
greater risk for mental health issues than the general population. Self-management education
and support for healthy eating, physical activity, glucose monitoring, medication adherence
and problem solving are vital components of diabetes care. Due to social distancing and
limited care and resources, that are likely to persist in the post pandemic phase other
innovative service models should be developed and adopted to improve service delivery. The
overall goal of this research program is to evaluate the effectiveness of a
Technology-Enabled Collaborative Care program. In this study, we examine the feasibility of
such a program, called the Technology-Enabled Collaborative Care (TECC) for T2DM designed to
support patients with diabetes and mental health concerns during COVID-19.
Behavioral: Intervention for TECC Model
The Care Coordinator (CC) will provide brief coaching sessions (15 to 20 minutes) to each participant once per week for 8 weeks. Participants can identify topics for discussion and the CC and participant can decide if a video session via WebEx is required versus a phone call. Also, participants will be given peer support and will be indirectly monitored by a virtual care team of experts.
Inclusion Criteria:
- Age: 18 years and older
- Clinician diagnosis of Type 2 diabetes for at least one year
- A1C level of 7.5% or higher within the last 6 months (benchmark is 7%)
- Access to telephone or internet through computer or mobile
- Experiencing some distress, score of ** on Perceived Stress Scale
Exclusion Criteria:
- Unable to provide consent
- Unable to understand English
- Pregnant or planning to get pregnant during the course of the study
CAMH
Toronto, Ontario, Canada