ACT1VATE: Addressing Emotional Distress to Improve Outcomes Among Diverse Adults With Type 1 Diabetes

Type 1 Diabetes Clinical Trial

Official title:

ACT1VATE: Addressing Emotional Distress to Improve Outcomes Among Diverse Adults With Type 1 Diabetes

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04933851
• Other study ID #: 1R01DK127491
• Secondary ID: R01DK127491
• Status: Recruiting
• Phase: Phase 2
• Start date: October 25, 2021
• Est. completion date: June 2026

Study information

• Verified date: February 2024
• Source: Scripps Whittier Diabetes Institute
• Contact: Haley Sandoval
• Phone: 970-497-6701
• Email: sandoval.haley[@]scrippshealth.org
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

This research will compare a psychological intervention ("ACT1VATE") versus diabetes self-management education and support (DSME/S; usual care) in improving clinical, behavioral, psychosocial, process, and cost outcomes among adults with poorly controlled type 1 diabetes (T1D) who are experiencing significant diabetes-related emotional distress and poor glycemic control in a real world, healthcare environment.

Description:

This randomized controlled trial will compare a telemedicine psychological intervention specifically designed to address diabetes distress ("ACT1VATE") versus traditional diabetes self-management education and support (DSME/S; usual care) in improving glycemic control among N=250 adults with type 1 diabetes (T1D), glycosylated hemoglobin (HbA1c) between 7.5% - 12.5% in the last 90 days, and significant diabetes distress. Capitalizing on existing and real-world processes, the electronic health record (EHR) will be used to identify eligible patients and examine primary outcomes. Participants randomized to the usual care group will be offered standard, 1:1 DSME/S delivered by a Certified Diabetes Care and Education Specialist via telemedicine format. Participants randomized to the ACT1VATE group will be offered 5 group-therapy telemedicine sessions delivered by a Behavioral Health Provider who is an integrated member of the diabetes care team. ACT1VATE is grounded in Acceptance and Commitment Therapy (ACT), which has been delivered effectively in clinics via brief format; implemented via phone and other modalities; and adapted for a wide range of chronic conditions. The primary clinical outcome, HbA1c, assessed as part of quarterly standard-of-care medical visits will be extracted from the EHR over 12 months. Changes in patient-reported behavioral (diabetes self-care) and psychosocial (emotional well-being, quality of life) outcomes will be evaluated via online surveys at baseline, month 6, and month 12. A thorough process evaluation will be conducted to establish reach, acceptability/feasibility, adoption/maintenance, and fidelity of the intervention and will integrate patient and provider perspectives. Cost-effectiveness will also be examined from the health system perspective. By maximizing integration with routine medical care for T1D in a real world, healthcare environment, results will be highly generalizable and hold great potential to inform the future of care for adults living with T1D.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 250
• Est. completion date: June 2026
• Est. primary completion date: June 2026
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Spanish or English-speaking
• Type 1 diabetes
• Glycosylated Hemoglobin (HbA1c) 7.5% - 12.5% in last 90 days
• Screen positive for diabetes distress

Exclusion Criteria:

• Severe medical or psychological conditions that would interfere with participation based on the opinion of a provider
• Plans to move out of the San Diego area in the next 12 months
• Lack of technology capability required to complete online surveys and telemedicine visit

Related Conditions & MeSH terms

• Diabetes Mellitus
• Diabetes Mellitus, Type 1
• Type 1 Diabetes

Intervention

Behavioral:
• ACT1VATE
ACT1VATE, informed by Acceptance and Commitment Therapy (ACT), will consist of five, 90-minute group-based telemedicine therapy sessions delivered by a Behavioral Health Provider.
• DSME/S
Diabetes self-management education and support (DSME/S) will be delivered by a Certified Diabetes Care and Education Specialist via one-on-one telemedicine format.

Locations

Country	Name	City	State
United States	Scripps Whittier Diabetes Institute	San Diego	California

Sponsors (2)

Lead Sponsor	Collaborator
Scripps Whittier Diabetes Institute	National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Cost-effectiveness	Long-term cost-effectiveness of ACT1VATE will use a simulation model. The UKPDS Outcomes Model Risk Engine (UKPDS-OM) developed the predictive equations for diabetes-related complications, mortality, and assigned utilities conditional on disease. Estimated clinical effects + costs of each arm will be inputs into the UKPDS-OM model. Estimated clinical effects (HbA1c change) come from Aim 1. Intervention costs will be estimated using standard accounting methods, process mapping + time-based activity costing. Base case assumes a health system perspective, 40-year time horizon, and 3% discount rate for both QALY and costs. Sensitivity analyses will investigate the influence of the estimated treatment effects and intervention costs, the influence of time horizon and discount rate, and second order uncertainty. UKPDS-OM provides equation parameters derived from bootstrap samples of the original UKPDS population. Estimates will be used to calculate an incremental cost-effectiveness plan.	12 months
Other	Diabetes-Specific Self Compassion Scale	Diabetes-Specific Self-Compassion Scale (D-SCS; range 0-5 with higher scores indicating higher levels of diabetes-specific self-compassion) will be analyzed to evaluate theoretical fidelity. Multilevel models using full information maximum likelihood estimation will be conducted to examine change in the construct over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Other	Acceptance and Action Diabetes Questionnaire	The Acceptance and Action Diabetes Questionnaire (AADQ; a 6-item scale measuring cognitive avoidance related to diabetes with higher scores indicating higher levels of cognitive avoidance) will be analyzed to evaluate theoretical fidelity. Multilevel models using full information maximum likelihood estimation will be conducted to examine change in the construct over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Other	Body Mass Index (BMI)	Body Mass Index (BMI) - will be measured as Weight in kg/Height squared in meters. BMI for up to 5 data points (0, 3, 6, 9, 12 months) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine BMI changes. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 3 months, 6 months, 9 months, 12 months
Primary	Glycosylated Hemoglobin (HbA1c)	HbA1c (%) reflects average glucose over the past 2-3 months, with higher values indicating greater risk for developing diabetes-related complications. HbA1c for up to 5 data points (0, 3, 6, 9, 12 months) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine HbA1c changes. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 3 months, 6 months, 9 months, 12 months
Primary	Diabetes Distress Scale	The Type 1 Diabetes Distress Scale (T1-DDS; 28 items averaged to obtain a total score ranging 1-6, with higher scores indicating greater diabetes-related emotional stress) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine change in diabetes distress over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Summary of Diabetes Self-Care Activities Survey	Seven items regarding dietary and exercise behaviors from the Summary of Diabetes Self-Care Activities scale (SDSCA; items averaged to obtain a total score for each behavioral domain, ranging from 0-7, with higher scores indicating better outcomes/greater adherence to diabetes self-management behaviors) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine behavioral changes. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Generalized Anxiety Disorder Assessment	The Generalized Anxiety Disorder Assessment (GAD-7; 7 items are summed to obtain a total score, ranging from 0 to 21, with higher scores indicating worse outcomes/greater anxiety symptoms) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine anxiety symptom changes over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Patient Health Questionnaire-8	Patient Health Questionnaire (PHQ-8; 8 items averaged to obtain a total score, with higher scores indicating worse outcomes/greater depressive symptomatology) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine depressive symptom changes over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Perceived Stress Scale	Perceived Stress Scale (PSS-4; 4 items are summed to obtain a total score, ranging from 0-16, higher scores indicating worse outcomes/greater levels of perceived stress) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine stress level changes over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	The WHO Well-Being Index	The WHO Well-Being Index (WHO-5; 5 items are summed and multiplied by 4 to obtain a total score ranging from 0-100, with higher scores indicating better outcomes/greater well-being/overall quality of life) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine quality of life changes. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Hypoglycemic Attitudes and Behaviors Scale	Hypoglycemic Attitudes and Behaviors Scale [HABS; a 14-item self-report scale that highlights three dimensions of hypoglycemia-related concerns (anxiety, avoidance, confidence), with higher scores indicating higher levels of patient worry and concerns related to hypoglycemia] will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine changes in hypoglycemic attitudes and behaviors over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Revised Diabetes Knowledge Test	The Diabetes Knowledge Test (DKT; a 23-item multiple-choice questionnaire developed by the University of Michigan, with higher scores reflecting greater diabetes knowledge) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine knowledge changes over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months
Secondary	Diabetes Support and Isolation Questionnaire	The Diabetes Support and Isolation Questionnaire (an 11-item, multiple choice questionnaire developed by University of California, San Francisco to assess available support resources for managing one's diabetes) will be analyzed. Multilevel models using full information maximum likelihood estimation will be conducted to examine changes in support resources over time. Analyses will include the between-subjects factor of group and the within-subjects factor of time. Month 0 will be the referent time-point with post-intervention and follow-up time-points as comparison time-points in dummy-coded predictors. The group by time interaction is of primary interest. If an interaction is found significant, follow-up analyses will determine the nature of differential change between treatment conditions.	Baseline, 6 months, 12 months