This project focuses on embedding the participants' own diabetes data into state-of-the-art technology platforms to constitute a novel educational simulation interface for decision-support in Type 1 Diabetes (T1D) - the Web-based Simulation Tool (WST).
The Web-based Simulation Tool (WST) allows patients with Type 1 Diabetes (T1D) to not only visualize their data, but also to explore changes to their meals and insulin parameters, and easily estimate their potential clinical impact. WST is an educational tool, and as such, it does not have prescriptive power. This platform collects glucose, insulin and meal data from the participants' insulin pump, and generates personalized models of their glucose metabolism. Both data collection and model personalization are backend processes, that is, without user intervention. Participants can interact with WST through a user interface (UI) that is equipped with a dashboard page, where they can: (i) select a particular date range using a calendar to visualize their historical glucose control, such as glucose traces, and time in range; (ii) control the amount of information on the screen - users can show/hide more details, such as glucose variability; (iii) select different insulin therapy parameters: basal rate, insulin sensitivity factor, and carbohydrate ratio; (iv) change their values by moving a slider; (v) select informed meals within the selected date range, and modify their time and size by moving a slider; (vi) run a simulation with the modified insulin therapy parameters and meals by tapping a button; (vii) save the insulin and meal settings of the simulations to compare multiple configurations; and (viii) generate a report from the selected simulation, comparing both original and simulated or replay data.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
18
Glucose, insulin and meal data from the participants' insulin pump will be collected and entered into the WST, which will generate personalized models of the participants' glucose metabolism to enable replay simulations.
University of Virginia - Center for Diabetes Technology
Charlottesville, Virginia, United States
Technology Expectation and Technology Acceptance Questionnaires: Perceived Burdens and Benefits at Baseline and Week 5 (Post-intervention)
Technology Expectation (TE) and Technology Acceptance (TA) questionnaires are made of 27 items. Responses to the TE questionnaire were collected at week 0 (baseline), and responses to the TA questionnaire at week 5 (post-intervention). Each questionnaire has 5 categories: burdens (14 items), benefits (10 items), ease of use, usefulness, and trustworthiness (last 3, 1 item each). Items are scored on a 5-point Likert scale ranging from 1 to 5 (from strongly disagree to strongly agree for burdens and benefits, and from very poor to excellent for ease of use, usefulness, and trustworthiness). Here we report the results for burdens and benefits. The original 1-to-5 scale is converted to a 0-to-4 scale, the mean scores for burdens and benefits are averaged and then converted into a percentage ranging from 0% to 100%. Higher percentages mean a better outcome for benefits and a worse outcome for burdens.
Time frame: Baseline and Week 5 (Post-intervention)
Technology Expectation and Technology Acceptance Questionnaires: Perceived Ease of Use, Usefulness and Trustworthiness of the System at Baseline and Week 5 (Post-intervention)
Technology Expectation (TE) and Technology Acceptance (TA) questionnaires are made of 27 items. Responses to the TE questionnaire were collected at week 0 (baseline), and responses to the TA questionnaire at week 5 (post-intervention). Each questionnaire has 5 categories: burdens (14 items), benefits (10 items), ease of use, usefulness, and trustworthiness (last 3, 1 item each). Items are scored on a 5-point Likert scale ranging from 1 to 5 (from strongly disagree to strongly agree for burdens and benefits, and from very poor to excellent for ease of use, usefulness, and trustworthiness). Here we report the results for ease of use, usefulness, and trustworthiness of the system. Higher scores mean a better outcome.
Time frame: Baseline and Week 5 (Post-intervention)
Diabetes Distress Scale at Baseline and Week 5 (Post-intervention)
The Diabetes Distress Scale (DDS) is a 17-item scale that yields a total diabetes distress score plus 4 subscale scores: Emotional burden (5 items), regimen distress (5 items), interpersonal distress (3 items) and physician distress (4 items). Scores range from 1 to 6 (from Not a problem to A very serious problem). To compute the total diabetes distress score and the 4 subscale scores, participants' responses in each scale are summed and divided by the corresponding number of items. A mean item score lower than 2.0 is considered little or no distress, between 2.0 and 2.9 is considered moderate distress, and higher than 3.0 is considered high distress. Thus, higher scores mean a worse outcome.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: Baseline and Week 5 (Post-intervention)