Evaluation of a Decision Support System for People With Diabetes Who Use Multiple Daily Insulin Injections- Feasibility and Proof of Concept Studies
NCT ID: NCT04653961
Last Updated: 2024-03-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
NA
48 participants
INTERVENTIONAL
2020-06-01
2025-10-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The study will include screening, a 2-4-week run-in period and 10-12 weeks intervention period. Subjects will be asked to record their insulin delivery during basal/bolus insulin treatment (using dedicated apps ) and their daily activities (meals, physical activity etc.) using electronic log (implemented on Dedicated Apps), for a total period of 12-16 weeks.
The goal of this study is to evaluate the safety of a decision support system for adjustment of insulin treatment plan for people with diabetes using multiple daily injections and monitoring glucose by SMBG or intermittent CGM
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
DreaMed Advisor Pro System in Subjects With Type 1 Diabetes Treated With MDI Therapy
NCT04043260
Observational, Data Collection Study for Subjects With Diabetes Using Insulin Injections
NCT04013919
Prospective Evaluation of a Dose Guidance System for People With Diabetes Initiating Basal Insulin or Using Insulin Injections
NCT06966427
Determination of Automated Multiple Insulin Dose Injections Settings Using the MDI/SMBG Advisor for Patients With Type 1 Diabetes -Data Collection, Observational & Proof of Concept Study
NCT04014569
Personalized Automated Determination of Insulin Pump Setting for Subjects With Type 1 Diabetes Switching From MDI to Pump Therapy and Vice Versa- Safety and Efficacy Feasibility Study
NCT03574558
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Intervention
Subject's glucose and insulin data will be transferred to the DreaMed Advisor Pro system. Optimization of insulin treatment plan will be done using the DreaMed Advisor Pro Decision Support System-MDI algorithm. During the feasibility segment an approval of the study physician (may override the suggestions for safety reasons) will be required prior to sending the recomendations to participants. During the Proof of Concept segment, the recomendations will be sent directly to participants. Participants will be asked to follow the tretment plan for the following 2.5 weeks.
DreaMed Advisor Pro DSS-MDI algorithm
The DreaMed Advisor Pro software is a proprietary algorithm, designed to provide a comprehensive analysis of individual diabetes data which consists of glucose levels and insulin delivery history. the Advisor Pro algorithm identifies glucose patterns and their possible causes, which may hamper the patient's glucose control, and recommend on adjustment to the patient-specific insulin treatment profiles as well as suggestions for personalized diabetes management tips (such as timing of meal boluses, bolus delivery compliance and personalized glucose targets).
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
DreaMed Advisor Pro DSS-MDI algorithm
The DreaMed Advisor Pro software is a proprietary algorithm, designed to provide a comprehensive analysis of individual diabetes data which consists of glucose levels and insulin delivery history. the Advisor Pro algorithm identifies glucose patterns and their possible causes, which may hamper the patient's glucose control, and recommend on adjustment to the patient-specific insulin treatment profiles as well as suggestions for personalized diabetes management tips (such as timing of meal boluses, bolus delivery compliance and personalized glucose targets).
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Aged ≥ 14 years
* HbA1c of 6.5 ≤ A1c ≤ 10%
* Using basal-bolus MDI therapy:
1. Basal insulin: Glargine, Degludec, or detemir and up to sum of 72 units of basal insulin
2. Bolus insulin: regular insulin, rapid analogues or ultra-rapid analogues
* Subjects willing to follow study instructions:
1. For SMBG users (only for segment 1): measure capillary blood glucose at least 4 times a day . Document blood glucose level, insulin delivery, meals and daily activities. Wear CGM.
2. For CGM users (FGM with a reader or real-time CGM): Use CGM according to manufacture instructions, document insulin delivery, meals and daily activities.
* Subjects using CGM or SMBG that are compatible with data transmission to the study diabetes management system (i.e. for CGM, FGM with a reader).
* Fasting glucose target is \< = 180 mg/dl (T2D)
* Subjects have home computer connected to the internet.
* Subjects have a smart phone compatible with study requirements.
* Subjects willing and able to sign a written informed consent form.
Exclusion Criteria
* Concomitant diseases/ treatment that influence metabolic control or any significant diseases /conditions including psychiatric disorders and substance abuse that in the opinion of the investigator is likely to affect the subject's ability to complete the study or compromise patients' safety
* Relevant severe organ disorders (diabetic nephropathy, diabetic retinopathy, diabetic foot syndrome) or any secondary disease or complication of diabetes mellitus, such as:
* Subject has unstable or rapidly progressive renal disease or is receiving dialysis
* Subject has active proliferative retinopathy
* Active gastroparesis
* Subject has loss of kidney function as measured by estimated Glomerular Filtration Rate (eGFR) \<45 in the previous 3 months 4. Participation in any other interventional study 5. Female subject who is pregnant or planning to become pregnant within the planned study duration
* Subject is in the "honeymoon" phase - i.e. less than 0.5 insulin units/kg per day.
* Drug or alcohol abuse.
14 Years
75 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
The Leona M. and Harry B. Helmsley Charitable Trust
OTHER
DreaMed Diabetes
INDUSTRY
Rabin Medical Center
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Moshe Phillip, MD
Role: STUDY_DIRECTOR
Rabin Medical Center
Revital Nimri, MD
Role: PRINCIPAL_INVESTIGATOR
Rabin Medical Center
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
schneider children medical center of Israel
Petah Tikva, , Israel
Rabin Medical Center- Belinson
Petah Tikva, , Israel
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
RMC096020ctil
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.