Diabetes Learning in Virtual Environments Just in Time for Community Reentry
LIVE JustICE
1 other identifier
interventional
128
1 country
2
Brief Summary
The proposed study will use a randomized clinical trial design with non-equivalent control group and longitudinal design to evaluate the feasibility, acceptability, and preliminary effects of the Diabetes LIVE JustICE application. The design will incorporate repeated measures at 0, 6, and 12 weeks. Outcome variables will include recruitment assessments, participation, engagement, user experience, and measures proximally related to behavior change - e.g., diabetes knowledge, diabetes-related distress, diabetes self-care, and social support and clinical outcomes -e.g., glycemic control. Focus group interviewing will be conducted to evaluate acceptability among intervention group participants.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Apr 2023
Longer than P75 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 24, 2022
CompletedFirst Posted
Study publicly available on registry
March 18, 2022
CompletedStudy Start
First participant enrolled
April 30, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 15, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 15, 2026
July 28, 2025
July 1, 2025
3.5 years
February 24, 2022
July 23, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (24)
Demographics
Demographic data (race/ethnicity, marital status, income (categorical), educational attainment, employment, age, sex, and disease duration).
baseline
Potential Confounding Effects
We will send weekly text messages to experimental group participants. 1. In the past week, how many minutes did you talk to someone about your diabetes self-management? Multiple choice: minutes 2. Do you have anything else to tell us? (open-ended)
week 1
Potential Confounding Effects
We will send weekly text messages to experimental group participants. 1. In the past week, how many minutes did you talk to someone about your diabetes self-management? Multiple choice: minutes 2. Do you have anything else to tell us? (open-ended)
week 2
Potential Confounding Effects
We will send weekly text messages to experimental group participants. 1. In the past week, how many minutes did you talk to someone about your diabetes self-management? Multiple choice: minutes 2. Do you have anything else to tell us? (open-ended)
week 3
Potential Confounding Effects
We will send weekly text messages to experimental group participants. 1. In the past week, how many minutes did you talk to someone about your diabetes self-management? Multiple choice: minutes 2. Do you have anything else to tell us? (open-ended)
week 4
Potential Confounding Effects
We will send weekly text messages to experimental group participants. 1. In the past week, how many minutes did you talk to someone about your diabetes self-management? Multiple choice: minutes 2. Do you have anything else to tell us? (open-ended)
week 5
Potential Confounding Effects
We will send weekly text messages to experimental group participants. 1. In the past week, how many minutes did you talk to someone about your diabetes self-management? Multiple choice: minutes 2. Do you have anything else to tell us? (open-ended)
week 6
Metabolic Indicator
Metabolic control will be measured as glycosylated hemoglobin (HbA1c) through central laboratory measures (Quest Labs) \[78\], indicating average glucose levels over the prior three months. The reliability and validity of the lab measures are improved by utilizing a central laboratory for sample analysis (Quest Labs).
baseline
Metabolic Indicator
Metabolic control will be measured as glycosylated hemoglobin (HbA1c) through central laboratory measures (Quest Labs) \[78\], indicating average glucose levels over the prior three months. The reliability and validity of the lab measures are improved by utilizing a central laboratory for sample analysis (Quest Labs).
week 12
Diabetes Knowledge
Diabetes knowledge will be measured by the 10 item Spoken Knowledge in Low Literacy for Diabetes scale (SKILLD).51 It takes less than 10 minutes to administer. Coefficients of internal reliability for the SKILLD have been reported at 0.72 (Kuder Richardson Coefficient of reliability) When used to evaluate knowledge in a population of incarcerated persons with diabetes, Cronbach's alpha was 0.6520-.0.70 respectively.7,6 Content validity was confirmed in previous research by experts in correctional health.
baseline
Diabetes Knowledge
Diabetes knowledge will be measured by the 10 item Spoken Knowledge in Low Literacy for Diabetes scale (SKILLD).51 It takes less than 10 minutes to administer. Coefficients of internal reliability for the SKILLD have been reported at 0.72 (Kuder Richardson Coefficient of reliability) When used to evaluate knowledge in a population of incarcerated persons with diabetes, Cronbach's alpha was 0.6520-.0.70 respectively.7,6 Content validity was confirmed in previous research by experts in correctional health.
week 6
Diabetes Knowledge
Diabetes knowledge will be measured by the 10 item Spoken Knowledge in Low Literacy for Diabetes scale (SKILLD).51 It takes less than 10 minutes to administer. Coefficients of internal reliability for the SKILLD have been reported at 0.72 (Kuder Richardson Coefficient of reliability) When used to evaluate knowledge in a population of incarcerated persons with diabetes, Cronbach's alpha was 0.6520-.0.70 respectively.7,6 Content validity was confirmed in previous research by experts in correctional health.
week 12
Diabetes-Related Emotional Distress
Distress will be measured with PAID (Problem Areas in Diabetes) scale, 52with 20 items using a 6-point Likert scale; higher scores indicate higher levels of distress. Internal consistency \>0.902.
baseline
Diabetes-Related Emotional Distress
Distress will be measured with PAID (Problem Areas in Diabetes) scale, 52with 20 items using a 6-point Likert scale; higher scores indicate higher levels of distress. Internal consistency \>0.902.
week 6
Diabetes-Related Emotional Distress
Distress will be measured with PAID (Problem Areas in Diabetes) scale, 52with 20 items using a 6-point Likert scale; higher scores indicate higher levels of distress. Internal consistency \>0.902.
week 12
Self-management behaviors
Self-management behaviors will be assessed using the Summary of Diabetes Self-Care Activities (SDSCA) .53 This 11-item questionnaire assesses the frequency of health behaviors over the last week, including diet, exercise, blood sugar testing, foot care, and smoking. The instrument has acceptable internal consistency
baseline
Self-management behaviors
Self-management behaviors will be assessed using the Summary of Diabetes Self-Care Activities (SDSCA) .53 This 11-item questionnaire assesses the frequency of health behaviors over the last week, including diet, exercise, blood sugar testing, foot care, and smoking. The instrument has acceptable internal consistency
week 6
Self-management behaviors
Self-management behaviors will be assessed using the Summary of Diabetes Self-Care Activities (SDSCA) .53 This 11-item questionnaire assesses the frequency of health behaviors over the last week, including diet, exercise, blood sugar testing, foot care, and smoking. The instrument has acceptable internal consistency
week 12
Perceived Support for Diabetes Management
The 12-item Diabetes Support Scale assesses social support in a diabetes internet intervention and has demonstrated internal consistency 0.90-0.93, and construct validity
baseline
Perceived Support for Diabetes Management
The 12-item Diabetes Support Scale assesses social support in a diabetes internet intervention and has demonstrated internal consistency 0.90-0.93, and construct validity
week 6
Perceived Support for Diabetes Management
The 12-item Diabetes Support Scale assesses social support in a diabetes internet intervention and has demonstrated internal consistency 0.90-0.93, and construct validity
week 12
Perceived Competence Scale
The 4-item PCS assesses the degree to which participants feel confident of meeting the challenges of DSM. A person's score on the PCS is calculated by averaging responses on the four-item 7-poins Likert scale with higher scores indicating higher perceived competence. Alpha reliabilities have been reported as above 0.80.
baseline
Perceived Competence Scale
The 4-item PCS assesses the degree to which participants feel confident of meeting the challenges of DSM. A person's score on the PCS is calculated by averaging responses on the four-item 7-poins Likert scale with higher scores indicating higher perceived competence. Alpha reliabilities have been reported as above 0.80.
week 6
Perceived Competence Scale
The 4-item PCS assesses the degree to which participants feel confident of meeting the challenges of DSM. A person's score on the PCS is calculated by averaging responses on the four-item 7-poins Likert scale with higher scores indicating higher perceived competence. Alpha reliabilities have been reported as above 0.80.
week 12
Study Arms (2)
Control
ACTIVE COMPARATORParticipants randomized to the control group will receive enhanced pre-release diabetes education with registered or licensed practical nurse-delivered diabetes education about medications and insulin administration supplemented with the literacy tailored diabetes education packets used in the principal investigator's prior research.
Intervention
EXPERIMENTALBecause eight avatars plus the educator avatar are allowed in the VE classroom at one time, we will cap enrollment for the feasibility study to allow for CHW and CDE training and the opportunity to work together during LIVE JustICE sessions. The DSMES will consist of six synchronous 1-hour education sessions and an hour support session for participants living in supervised community housing in the experimental group. We will run the six-week series sequentially a total of eleven times over 18 months. LIVE JustICE sessions will be held conveniently for participants, and days/times rotated if needed.
Interventions
Diabetes LIVE JustICE will be an adaptation of the current Diabetes LIVE persistent multi-user online virtual environment built on the Unreal Engine (Epic Games, Inc., Cary, NC) that allows users to talk to each other in real-time and participate in instructor-led synchronous sessions. Users can access the virtual environment through IOS/Android devices. Instructors can show learning material such as Google Docs and PowerPoint. The LIVE JustICE community will contain a community center, a tranquility center, and a message board. This will be an interactive community where participants will communicate in real-time on their mobile device or, if preferred, using their computer via text or audio chat. Access to LIVE will allow participants to utilize resources and links in the application, leave a message on the message board for the diabetes educators, or engage with other participants. Research team members will add and trial gaming activities to the VE during this feasibility study.
Eligibility Criteria
You may qualify if:
- Individuals will be eligible to participate if they:
- have Type 1 or 2 diabetes
- are age 18 and older
- can speak and understand English
- have been released directly from one of five Connecticut prisons to supervised community housing or parole
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Louise Reaganlead
- American Diabetes Associationcollaborator
Study Sites (2)
University of Connecticut
Storrs, Connecticut, 06269, United States
University of Connecticut
Storrs Mansfield, Connecticut, 06269-0001, United States
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BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Lousie Reagan, PhD
University of Connecticut
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
February 24, 2022
First Posted
March 18, 2022
Study Start
April 30, 2023
Primary Completion (Estimated)
November 15, 2026
Study Completion (Estimated)
December 15, 2026
Last Updated
July 28, 2025
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR
- Time Frame
- Data generated from the proposed study would be shared and available to the participating study investigators no later than 6 months post publication or 18 months from the award end date of November 1, 2024.
- Access Criteria
- We also intend to make results available to the community of scientists interested in diabetes self-management education and behavioral research, correctional health research, and virtual environments upon request to avoid unintentional duplication of research. Furthermore, we will welcome collaboration with others who could make use of the study protocols developed in the proposed study. Deidentified datasets will be made readily available for sharing with other qualified researchers after major publications have been accepted
1\. Summary of data outputs and/or resources that the proposed research will generate: The PIs are committed to the open and timely dissemination of research outcomes. We expect that the proposed project will produce the following data: 1. Raw study data, protocols, processed data, quantitative measures and qualitative self-reported data. 2. Data analysis programs in the format of SPSS, SAS, and R. Proposed repository for data sharing: The materials, data, and protocols from the research will be made available to researchers who are interested in reproducing the work and developing original research based on our work. We will prepare our dataset in accordance with the requirements for NIDDK data repository datasets and associated documentation for submission to the NIDDK Information Network(DKnet) in accordance with the Guidelines for NIDDK DKnet data set preparation.