Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
Diabetes Mellitus - Type 1
Type
Interventional
Phase
Not Applicable
Design
Allocation: RandomizedIntervention Model: Factorial AssignmentIntervention Model Description: The study will use an 8-arm full factorial design. In arms 1-3 participants will receive 1 of the 3 intervention components, arms 4-6 receive a combination of 2 components, arm 7 receives all 3 components, and arm 8 is the standard care control. The study will use the mixed effects linear model for the ANOVA of a factorial design powered on the main effects to identify the intervention components that significantly contribute to a clinically significant improvement in HbA1c. Each model will include a random intercept and slope and fixed effects for treatment combinations and time, as well as the stratification variable. The component selection experiment will result in empirical evidence supporting the efficacy of an autonomy support intervention composed of one or more components to improve metabolic control.Masking: Single (Outcomes Assessor)Masking Description: The outcomes assessor/data collector will be kept blind to treatment assignments to the extent possible in a behavioral trial.Primary Purpose: Treatment

Participation Requirements

Age
Between 16 years and 25 years
Gender
Both males and females

Description

This project will use the multiphase optimization strategy (MOST) approach to test the efficacy of an autonomy supportive behavioral intervention to improve metabolic control among older adolescents and emerging adults (16-25) with T1D. Youth this age demonstrate chronic poor metabolic control that ...

This project will use the multiphase optimization strategy (MOST) approach to test the efficacy of an autonomy supportive behavioral intervention to improve metabolic control among older adolescents and emerging adults (16-25) with T1D. Youth this age demonstrate chronic poor metabolic control that persists into adulthood leading to the premature emergence of short- and long-term diabetes complications. Developmentally, adolescence and emerging adulthood is a time when the need for independence and autonomy are particularly salient. This new intervention will leverage youths' desire for autonomy by designing an intervention to support diabetes self-management autonomy. This intervention is guided by self-determination theory (SDT) which suggests that autonomous (i.e., self-initiated, driven by intrinsic versus extrinsic motivation) diabetes management depends upon three conditions: 1) the perception that one's behavior is self-directed, 2) feelings of competence, or self-efficacy, and 3) the existence of caring relationships supportive of the behavior. The investigators have identified three intervention components that target the SDT constructs. A question prompt list (QPL) is a simple, inexpensive tool comprised of a list of questions that patients might consider asking their health care provider during a clinic visit. QPLs empower patients to assume a more active role (asking questions and stating concerns) during clinic visits. The Motivation Enhancing System (MES) is an eHealth intervention to increase intrinsic motivation for health behavior change. MES content is based on the Motivational Interviewing (MI) framework and the Information-Motivation-Behavioral Skills (IMB) model of health behavior change which posits that behavior change results from the joint function of three critical components: accurate information about risk behaviors or their replacement health behaviors, motivation to change behavior, and behavioral skills necessary to perform the behavior (self-efficacy). Text message reminders (TXT) are a strategy to encourage youth to complete their diabetes self-care that also lead to gains in self-efficacy and a stronger relationship with diabetes care providers through greater communication and satisfaction. The investigators will test the efficacy of these intervention components toward improving metabolic control in a component selection experiment (N=320). The experiment will use a full factorial research design with random assignment to determine which intervention components contribute to a clinically significant improvement (?0.5%) in HbA1c. The result of this research will be an optimized, multi-component intervention with effect size estimates that will be used to inform a large scale, fully powered effectiveness trial. This theory-driven intervention will be scalable to a variety of chronic illness contexts and the knowledge gained from this research will inform self-determination theory and behavioral interventions targeting this population (for which there currently are none).

Tracking Information

NCT #
NCT04066959
Collaborators
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Investigators
Principal Investigator: April Carcone, PhD Wayne State University