eHealth Tool
Othertext messaging algorithm
NCT Number: NCT05434754
The investigators are testing the effectiveness of an eHealth digital tool co-designed with patients and providers to improve diabetes self-efficacy in young adults as they transition to adult type 1 diabetes care.
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Notify Me17 year–18 year
All sexes
Interventional
Not applicable
Oak Valley Health, Markham, Ontario, Canada
The intervention is an eHealth digital solution co-designed with patients and providers. The intervention is a text message based algorithm that operates similar to a chatbot and will send SMS messages to participants in the experimental arm, consisting of T1D personalized support, education, resources, and a collection of outcome measures. Participants in the control arm will also be onboarded to the KiT algorithm but will only receive text-messages asking them to complete outcome measures at baseline, 6 and 12 months -- all outcome measures will be URL linkouts to REDCap surveys, housed on the SickKids REDCap servers. An embedded process evaluation of high and low engagers will also be conducted to understand how and why the intervention achieved or failed to achieve the desired effects.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
text messaging algorithm
Time frame: 12 months
The primary objective of this study is to compare the effectiveness of a text message-based T1D transition intervention that will personalize transition education and support, as an adjunct to usual T1D transition care versus usual transition care alone on a patient-reported outcome measure (PROM) called the Self-Efficacy for Diabetes Management (SEDM) scale, measured at 12 months after enrollment in the study. The SEDM has scale from 1-10 where 1 denotes 'not at all sure' and 10 denotes 'completely sure' where higher scores mean better outcomes. Minimal clinically important difference is 10%.
Time frame: 6 months
A secondary objective of this study is to compare the effectiveness of a text message-based T1D transition intervention that will personalize transition education and support, as an adjunct to usual T1D transition care versus usual transition care alone on a patient-reported outcome measures (PROM) called the Self-Efficacy for Diabetes Management (SEDM) scale, measured at 6 months.
The SEDM has scale from 1-10 where 1 denotes 'not at all sure' and 10 denotes 'completely sure' where higher scores mean better outcomes.
Minimal clinically important difference is 10%.
Time frame: Baseline
The Self-Efficacy for Diabetes Management (SEDM) scale will be used to measure diabetes self-efficacy at baseline. The SEDM has scale from 1-10 where 1 denotes 'not at all sure' and 10 denotes 'completely sure' where higher scores mean better outcomes.
Minimal clinically important difference is 10%.
Time frame: 12 months
Time frame: 6 months
Time frame: Baseline
Time frame: 12 months
Time frame: 6 months
Time frame: baseline
Time frame: 12 months
Time frame: 6 months
A1c will be self-reported in the following categories of values: < 7%, 7 to < 8%, 8 to < 9%, >9% where higher percentage indicates poorer diabetes management
Time frame: baseline
A1c will be self-reported in the following categories of values: < 7%, 7 to < 8%, 8 to < 9%, >9% where higher percentage indicates poorer diabetes management
Time frame: 12 months
Time frame: baseline
Time frame: 12 months
Time frame: Baseline
Time frame: 12 months
Time frame: 12 months
Time frame: 12 months
Embedded process evaluation using real-time engagement metrics with number of participants who are engaging with intervention messages on Concurrent process evaluation allows for real-time intervention modification to increase and improve user engagement and content delivery
Time frame: 12 months
Embedded process evaluation using real-time engagement metrics looking at which types of messages are the most and least engaged with Concurrent process evaluation allows for real-time intervention modification to increase and improve user engagement and content delivery
Time frame: 12 months
Embedded process evaluation using real-time engagement metrics (i.e. number of participants who are engaging with intervention messages on and which types of messages are the most and least engaged with) Concurrent process evaluation allows for real-time intervention modification to increase and improve user engagement and content delivery
Time frame: 12 months.
The investigators will identify the potential paths and corresponding combination of factors that are associated with trial outcomes using Coincidence Analysis.
The Hospital for Sick Children
Other
Keeping in Touch (KiT) With Youth as They Transition to Adult Type 1 Diabetes Care: a Randomized Control Trial Testing the Effectiveness of an eHealth Text Message-based Intervention to Improve Diabetes Self-efficacy
Acronym: KiT
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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