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Implementation of Support in the Care of Adults Living With Type 1 Diabetes

Using the Support Online Platform for Self-management Education of Adults Living With Type 1 Diabetes as Part of Usual Care or Independently: an Implementation Study

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06069583
Enrollment
322
Registered
2023-10-06
Start date
2024-05-05
Completion date
2027-10-31
Last updated
2025-09-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Autoimmune Diseases, Endocrine System Diseases, Immune System Diseases, Metabolic Disease, Type 1 Diabetes

Keywords

self-management education, Hemaglobin A1c, Online education, adults, type 1 diabetes

Brief summary

The investigators will conduct a trial to evaluate if an online training and support platform can help adults living with type 1 diabetes (T1D) in their diabetes self-management. Investigators will compare a group that has access to the Support platform through their usual medical care to a group that accesses the platform independently. The first group will be recruited through four participating clinics in the province of Quebec (Canada). The second group will be composed of adults living with T1D across Canada. Participants will have access to the platform for 12 months and will be asked to complete online questionnaires at the beginning and after 6 and 12 months, and share their glucose reader data with the research team. A subgroup of participants as well as healthcare professionals from the four clinics will be invited to participate in an individual interview aiming to understand the barriers and facilitators of integration Support in clinical care.

Detailed description

Type 1 diabetes (T1D) is a chronic condition which requires life-sustaining insulin therapy as well as knowledge, skills and confidence to self-manage. Tailored diabetes self-management education (DSME) should be offered to all people living with diabetes (PWT1D) at diagnosis, but also in a timely manner according to needs. DSME has the potential to improve quality of life and decrease diabetes complications. Despite the positive outcomes of other DSME programs, participation rates of DSME vary greatly perhaps because access remains sub-optimal. Also, healthcare professionals (HCPs) face a challenge to remain aware of the particularities of T1D and stay up-to-date on the rapidly evolving evidence-based knowledge, technologies and therapies available. The investigators propose to examine an online training and peer support platform, called Support as a potential alternative for DSME. The overall purpose of this hybrid effectiveness-implementation study is to investigate if integrating the Support platform to routine medical care of adults living with T1D (i.e., diabetes team referring to the Support platform during appointments) can improve diabetes self- management, in comparison with navigating the Support platform independently of usual care (i.e., the platform not being discussed during appointment) (Effectiveness), and to study the factors affecting its implementation in real-life settings (Implementation). This study is a mixed-method multi-site, 2 arms, non-randomized, type 1 hybrid effectiveness-implementation trial. ARM 1: PWT1D participants will have access to Support as part of their regular care (their HCPs will use Support in their care). PWT1D participants in ARM 1 are followed in one of the 4 participating clinics either in-person or remotely or hybrid. ARM 2: PWT1D participants will have access to Support, independently from their regular care (they may initiate discussion about the platform with their diabetes care team who might register themselves on the platform, but will not prompt to any specific section on the platform and will not receive any training about the platform). PWT1D participants in ARM 2 can be followed in any other clinics in Canada. Implementation data will be gathered through HCP participants in the participating clinics. Participants will have to answer online surveys at baseline, 6 months and 12 months. After completing the baseline questionnaire, they will receive an access to the platform. A subgroup of participants as well as participating HCPs will be invited for individual interviews to discuss their experience in using the platform.

Interventions

BEHAVIORALSupport platform

The study will be conducted over a 12-month period. This should allow participants to see their medical team 2 to 3 times during this timeframe. Participants of arms 1 and 2 will have access to the Support platform and will receive a monthly newsletter, informing them of news on the platform and acting as a reminder to log in. Several features are included in this responsive-designed platform to enhance participation, such as a visual of personal progress, ability to bookmark content, change their avatar. Support contains 3 main components: Educational material, News blog written by HCPs weekly in collaboration with patient-partners on up-to-date topics related to T1D, a peer-to-peer discussion forum which is moderated daily by a HCP specializing in T1D.

Sponsors

Institut de Recherches Cliniques de Montreal
CollaboratorOTHER
Centre Hospitalier de l'Universite Laval (CHUL)
CollaboratorUNKNOWN
Centre hospitalier de l'Université de Montréal (CHUM)
CollaboratorOTHER
Centre de médecine métabolique de Lanaudière
CollaboratorUNKNOWN
McGill University
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

mixed-method multi-site, 2 arms, non-randomized, type 1 hybrid effectiveness-implementation trial

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Diagnosis of T1D (including LADA - latent autoimmune diabetes in adults) * Have access to Internet * Use of an active email address * Comprehension of English or French * Live in Canada

Exclusion criteria

\- Unable to use the Support platform

Design outcomes

Primary

MeasureTime frameDescription
Self-efficacy for diabetes management0, 6 and 12 monthsDiabetes Self-Management Questionnaire-Revised (DSMQ-R; 27-items, score on 10)

Secondary

MeasureTime frameDescription
Well-being0, 6 and 12 monthsWHO-5 well-being index
Continuous Glucose Monitoring (CGM) - % Time in range0, 6 and 12 months% Time in range (3.9-10.0mmol/L) over the past 4 weeks. Participants may share their account access so the research team will be able to export data or may upload a PDF of their data through REDCap.
Continuous Glucose Monitoring (CGM) - % Time above range0, 6 and 12 months% Time above range (3.9-10.0mmol/L) over the past 4 weeks. Participants may share their account access so the research team will be able to export data or may upload a PDF of their data through REDCap.
Continuous Glucose Monitoring (CGM) - % Time below range0, 6 and 12 months% Time below range (3.9-10.0mmol/L) over the past 4 weeks. Participants may share their account access so the research team will be able to export data or may upload a PDF of their data through REDCap.
Continuous Glucose Monitoring (CGM) - Standard deviation0, 6 and 12 monthsStandard deviation of the past 4 weeks. Participants may share their account access so the research team will be able to export data or may upload a PDF of their data through REDCap.
Continuous Glucose Monitoring (CGM) - % Coefficient of variation0, 6 and 12 months% Coefficient of variation of the past 4 weeks. Participants may share their account access so the research team will be able to export data or may upload a PDF of their data through REDCap.
Hemoglobin A1c0, 6 and 12 monthsself-reported last Hemoglobin A1c (date and value) through online questionnaire
Severe hypoglycemic events0, 6 and 12 monthsSelf-reported severe hypoglycemic events in the past 6 months
Diabetic Ketoacidosis (DKA) events0, 6 and 12 monthsSelf-reported DKA events in the past 6 months
calls to 9110, 6 and 12 monthsSelf-reported number of calls to 911 in the past 6 months
calls to 8110, 6 and 12 monthsSelf-reported number of calls to 811 in the past 6 months
Cost effectiveness (self-efficacy)6 and 12 monthsCost effectiveness of access to Support as part of usual care compared with independent access in terms of incremental cost effectiveness ratio (ICER) for self-efficacy
Cost effectiveness (HbA1c)6 and 12 monthsCost effectiveness of access to Support as part of usual care compared with independent access in terms of incremental cost effectiveness ratio (ICER) for HbA1c

Other

MeasureTime frameDescription
Implementation question0 monthParticipants will be asked where they heard about the platform.
communication with health care team0, 6 and 12 monthsQuestion about type (in-person, phone, video call or email) and frequency of communication with health care team
Engagement with Support platform (T1D patient) - time in minutes on platform6, 12 monthsEngagement metrics will be extracted using Google analytics - time (minutes) spent on the platform
Engagement with Support platform (T1D patient) - total pages viewed6, 12 monthsEngagement metrics will be extracted using Google analytics - total pages viewed from the platform
Engagement with Support platform (T1D patient) - downloaded documents6, 12 monthsEngagement metrics will be extracted using Google analytics - downloaded documents from the platform
Engagement with Support platform (T1D patient) - use of calculators6, 12 monthsEngagement metrics will be extracted using Google analytics - use of calculators on the platform
Engagement with Support platform (Health Care Provider) - time in minutes on platform6, 12 monthsEngagement metrics will be extracted using Google analytics - time (minutes) spent on the platform
Engagement with Support platform (Health Care Provider) - content accessed6, 12 monthsEngagement metrics will be extracted using Google analytics - specific content accessed from the platform
Engagement with Support platform (Health Care Provider) - total pages viewed6, 12 monthsEngagement metrics will be extracted using Google analytics - total pages viewed from the platform
Engagement with Support platform (Health Care Provider) - downloaded documents6, 12 monthsEngagement metrics will be extracted using Google analytics - downloaded documents from the platform
Engagement with Support platform (Health Care Provider) - use of calculators6, 12 monthsEngagement metrics will be extracted using Google analytics - use of calculators on the platform
Satisfaction with Support-t platform - T1D patient6, 12 monthsSatisfaction will be rated on a scale from 1 to 10. Higher scores indicate greater satisfaction with the platform.
Experience with Support platform (Barriers, facilitators, satisfaction, fidelity) - T1D patient12 monthsIndividual interviews to understand the experience in the context of implementation of the Support-t platform (Barriers, facilitators, satisfaction, fidelity) using qualitative descriptive methodology
Experience with Support platform (Barriers, facilitators, satisfaction, fidelity) - Health Care Provider12 monthsIndividual interviews to understand the experience in the context of implementation of the Support-t platform (Barriers, facilitators, satisfaction, fidelity) using qualitative descriptive methodology

Countries

Canada

Contacts

Primary ContactAnne-Sophie Brazeau, PhD
anne-sophie.brazeau@mcgill.ca5143987848
Backup Contactamelie Roy-Fleming, MSc
amelie.roy-fleming@mcgill.ca5147790749

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026