Type 1 DiabetesWSTNCT04439903
Web-Based Simulation Tool For Self-Management Support In Type 1 Diabetes Mellitus
A study testing Web-based Simulation Tool in people with Type 1 Diabetes, run by University of Virginia at 1 site in United States.
Trial summary
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). Read more about this study
- Who is it for?
- Ages 21 to 65 years
- Conditions the study is for
- Type 1 Diabetes
- What is being tested?
- Web-based Simulation Tool
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 18 participants
- Where
- 1 siteUnited States
- Study dates
- 12 Oct 2020to 22 Feb 2021
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 21 to 65 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age ≥21 and ≤65 years old at time of consent.
- Clinical diagnosis, based on investigator assessment, of T1D for at least one year.
- Using insulin for at least 1 year prior to study enrollment.
- Using an insulin pump for at least 6 months prior to study enrollment.
- Currently using a CGM for at least 6 months.
- Willingness to use a Dexcom G6 CGM during the study; a study Dexcom CGM will be provided if needed.
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- Current user of the Tandem t:slim X2 insulin pump.
- Willingness to switch to lispro (Humalog) or aspart (Novolog) if not using already, and to use no other insulin besides lispro (Humalog) or aspart (Novolog) during the study.
- Total daily insulin (TDI) dose at least 10 U/day.
- HbA1c ≤9.0% at screening; if HbA1c <6.0%, then TDI must be ≥ 0.5 U/kg.
- Having access to internet (Wi-Fi or 3G, 4G, 5G, or similar).
- Willingness to interact with a computer program.
- An understanding of and willingness to follow the protocol and sign the informed consent form (ICF).
Who cannot join
- Participants who are not able to read and complete questionnaires on the computer or interact with a program for which they will be trained because of language, reading, or cognitive issues.
- Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment.
- History of a seizure disorder (except hypoglycemic seizure), unless written clearance is received from a neurologist and not currently on a seizure medication.
- Pregnancy, breast-feeding, or intention of becoming pregnant over time of study procedures.
- If female and sexually active, must agree to use a form of contraception to prevent pregnancy while a participant in the study. A negative urine pregnancy test will be required for all premenopausal women who are not surgically sterile. Subjects who become pregnant will be discontinued from the study.
- A known medical condition that in the judgment of the investigator might interfere with the completion of the study.*
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- Abuse of alcohol or recreational drugs.
- Infectious process not anticipated to resolve prior to study procedures (e.g. meningitis, pneumonia, osteomyelitis, etc).
- Uncontrolled arterial hypertension (resting diastolic blood pressure >90 mmHg and/or systolic blood pressure >160 mmHg).
- A recent injury to body or limb, muscular disorder, use of any medication, any carcinogenic disease, or other significant medical disorder if that injury, medication or disease in the judgment of the investigator will affect the completion of the protocol.
- Current use of the following drugs and supplements:
- Any drug other than insulin to treat diabetes.
- Any other medication that according to the investigator's criteria is a contraindication for the subject's participation.
- Note: The software implementation, in the current development status, is designed to interact with subjects with T1D that only use insulin for diabetes treatment and do not present any comorbidity related to diabetes.
Trial locations and contacts
1 site in 1 country.
United States1 site
University of Virginia - Center for Diabetes Technology
Charlottesville, Virginia, 22903
About this study
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).
Read the detailed description
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.
- Conditions
- Type 1 Diabetes
- Being tested
- Web-based Simulation Tool
- Keywords
- Web-based Simulation Tool (WST), Continuous Glucose Monitoring (CGM), Glucose Metabolism Model, Insulin Pump
- Medical subject headings
- Diabetes Mellitus, Type 1
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Web-based Simulation ToolOther
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.
| Study group | Role | What they receive |
|---|---|---|
| Web-based Simulation Tool (WST) | Experimental | Not described Receives: Other: Web-based Simulation Tool |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: Baseline and Week 5 (Post-intervention)
Secondary outcomes (1)
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.
Measured: Baseline and Week 5 (Post-intervention)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Jun 2020
- Study start12 Oct 2020
- Primary completion22 Feb 2021
- Study completion22 Feb 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Type 1 DiabetesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- Single-arm, single center, non-randomized, uncontrolled pilot clinical trial
- Masking
- None (open label)
- Enrolment
- 18 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Virginia
- Sponsor type
- University, hospital or other
- Collaborators
- Juvenile Diabetes Research Foundation, Tandem Diabetes Care, Inc.
- Responsible party
- Principal investigator, Boris Kovatchev, PhD, University of Virginia
- Investigators
- Patricio Colmegna, PhD, Principal investigator, University of Virginia, Center for Diabetes Technology
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04439903
- Sponsor's protocol ID
- 200157
- Acronym
- WST
- Status last verified
- Oct 2024
- First submitted
- 14 Jun 2020
- Last updated
- 14 Nov 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: No plan to share IPD.
Publications
Colmegna P, Bisio A, McFadden R, Wakeman C, Oliveri MC, Nass R, Breton M. Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. IEEE J Biomed Health Inform. 2023 Jan;27(1):515-525. doi: 10.1109/JBHI.2022.3209090. Epub 2023 Jan 4.
PubMed 36149995Colmegna P, McFadden R, Fabris C, Lobo B, Nass R, Oliveri MC, Brown SA, Kovatchev B. Adaptive Biobehavioral Control: A Pilot Analysis of Human-Machine Coadaptation in Type 1 Diabetes. Diabetes Technol Ther. 2024 Sep;26(9):644-651. doi: 10.1089/dia.2023.0399. Epub 2024 Apr 30.
PubMed 38662425
Study at a glance
From the registry record, last updated by the sponsor on 14 Nov 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Web-Based Simulation Tool For Self-Management Support In Type 1 Diabetes Mellitus
- ClinicalTrials.gov ID
- NCT04439903
- Acronym / sponsor ID
- WST / 200157
- Conditions
- Type 1 Diabetes
- Keywords
- Web-based Simulation Tool (WST), Continuous Glucose Monitoring (CGM), Glucose Metabolism Model, Insulin Pump
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 18 participants (actual)
- Lead sponsor
- University of VirginiaUniversity, hospital or other
- Collaborators
- Juvenile Diabetes Research Foundation, Tandem Diabetes Care, Inc.
- Study start
- 12 Oct 2020 (actual)
- Primary completion
- 22 Feb 2021 (actual)
- Study completion
- 22 Feb 2021 (actual)
- First posted
- 19 Jun 2020 (actual)
- Results
- Posted 4 Dec 2023
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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).
Detailed description
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 design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- Single-arm, single center, non-randomized, uncontrolled pilot clinical trial
| Arm | Type | Receives |
|---|---|---|
| Web-based Simulation Tool (WST) | Experimental | Other: Web-based Simulation Tool |
Who may qualify
- Ages
- 21 to 65 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (13 listed)
- Age ≥21 and ≤65 years old at time of consent.
- Clinical diagnosis, based on investigator assessment, of T1D for at least one year.
- Using insulin for at least 1 year prior to study enrollment.
- Using an insulin pump for at least 6 months prior to study enrollment.
- Currently using a CGM for at least 6 months.
Key exclusion criteria (14 listed)
- Participants who are not able to read and complete questionnaires on the computer or interact with a program for which they will be trained because of language, reading, or cognitive issues.
- Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment.
- History of a seizure disorder (except hypoglycemic seizure), unless written clearance is received from a neurologist and not currently on a seizure medication.
- Pregnancy, breast-feeding, or intention of becoming pregnant over time of study procedures.
- If female and sexually active, must agree to use a form of contraception to prevent pregnancy while a participant in the study. A negative urine pregnancy test will be required for all premenopausal women who are not surgically sterile. Subjects who become pregnant will be discontinued from the study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Web-based Simulation ToolGlucose, 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. | Other | Web-based Simulation Tool (WST) |
Primary outcome
Technology Expectation and Technology Acceptance Questionnaires: Perceived Burdens and Benefits at Baseline and Week 5 (Post-intervention)
Time frame: 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.
Technology Expectation and Technology Acceptance Questionnaires: Perceived Ease of Use, Usefulness and Trustworthiness of the System at Baseline and Week 5 (Post-intervention)
Time frame: 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.
1 secondary outcome
Diabetes Distress Scale at Baseline and Week 5 (Post-intervention)
Time frame: Baseline and Week 5 (Post-intervention)
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Nov 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 36149995Colmegna P, Bisio A, McFadden R, Wakeman C, Oliveri MC, Nass R, Breton M. Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. IEEE J Biomed Health Inform. 2023 Jan;27(1):515-525. doi: 10.1109/JBHI.2022.3209090. Epub 2023 Jan 4.
- Results publication: PubMed 38662425Colmegna P, McFadden R, Fabris C, Lobo B, Nass R, Oliveri MC, Brown SA, Kovatchev B. Adaptive Biobehavioral Control: A Pilot Analysis of Human-Machine Coadaptation in Type 1 Diabetes. Diabetes Technol Ther. 2024 Sep;26(9):644-651. doi: 10.1089/dia.2023.0399. Epub 2024 Apr 30.
- Individual participant dataSharing planned: No. No plan to share IPD.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Patricio Colmegna, PhD principal investigator
University of Virginia, Center for Diabetes Technology
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Web-based Simulation Tool in people with Type 1 Diabetes, run by University of Virginia at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 13 inclusion and 14 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 14 Nov 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 4 Dec 2023). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Technology Expectation and Technology Acceptance Questionnaires: Perceived Burdens and Benefits at Baseline and Week 5 (Post-intervention) (time frame: Baseline and Week 5 (Post-intervention)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04439903, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Nov 2024.