[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100656666":3},{"organization":4,"outcomesModule":7,"designInfo":27,"detailedDescription":26,"studyPopulation":26,"armGroups":33,"interventions":44,"overallOfficials":26,"centralContacts":50,"locations":56,"responsibleParty":69,"collaborators":26,"id":71,"slug":72,"hasResults":73,"nctId":74,"briefTitle":75,"officialTitle":75,"acronym":26,"eligibilityCriteria":76,"healthyVolunteers":73,"sex":77,"minAge":78,"maxAge":79,"enrollmentInfo":80,"targetDuration":26,"studyType":83,"phases":84,"briefSummary":86,"conditions":87,"keywords":26,"overallStatus":59,"whyStopped":26,"lastUpdateSubmitDate":93,"lastUpdatePostDateStruct":94,"startDateStruct":97,"completionDateStruct":99,"leadSponsor":101,"locationsCount":102},{"fullName":5,"class":6},"Sheba Medical Center","OTHER_GOV",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":26},[9],{"measure":10,"description":11,"timeFrame":12},"Glycemic control","CGM data - TIR - time in range, TIIR- time in tight range , hypoglycemia and hyperglycemia events, GMI, CV","Baseline (prior to receipt of the first WhatsApp alert) and monthly assessments after the first alert, at 1 month, 2 months, and 3 months post-enrollment.",[14,17,19,23],{"measure":15,"description":16,"timeFrame":12},"Adherence to Treatment","Time of CGM use",{"measure":18,"description":18,"timeFrame":12},"Number of emergency room visits with diabetic ketoacidosis (DKA) or hypoglycemia",{"measure":20,"description":21,"timeFrame":22},"Satisfaction score","A satisfaction questionnaire of the digital tool","3 months post-enrollment.",{"measure":24,"description":24,"timeFrame":25},"Number of hospitalizations","3 months past enrollment",null,{"allocation":28,"interventionModel":29,"interventionModelDescription":26,"primaryPurpose":30,"observationalModel":26,"timePerspective":26,"maskingInfo":31},"RANDOMIZED","PARALLEL","TREATMENT",{"masking":32,"maskingDescription":26,"whoMasked":26},"NONE",[34,40],{"label":35,"type":36,"description":37,"interventionNames":38},"intervention","EXPERIMENTAL","trends (e.g., hyperglycemia, hypoglycemia) and send automated WhatsApp alerts",[39],"Behavioral: Tele-diabetes Remote System",{"label":41,"type":42,"description":43,"interventionNames":26},"Control","NO_INTERVENTION","Participants in this arm will continue with standard care for managing Type 1 Diabetes",[45],{"type":46,"name":47,"description":48,"armGroupLabels":49,"otherNames":26},"BEHAVIORAL","Tele-diabetes Remote System","The tele-diabetes system is a digital platform designed for remote glucose monitoring in patients with Type 1 Diabetes. The system utilizes a smart algorithm to analyze real-time glucose levels, detect trends of hyperglycemia or hypoglycemia, and send automated WhatsApp alerts to participants. These alerts provide actionable insights aimed at improving glycemic control and treatment adherence between routine clinic visits.\n\nThe system also includes a monitoring dashboard accessed by researchers and clinicians, enabling them to track the alerts sent. The medical team follows a structured escalation protocol:\n\nAfter two consecutive alerts: A registered dietitian contacts the participant to provide personalized dietary and behavioral guidance.\n\nIf an additional alert is detected after this contact: A virtual physician consultation is scheduled to adjust treatment as needed.\n\nIf another alert follows: The participant is invited for an in-clinic visit for detailed evaluation and intervention",[35],[51],{"name":52,"role":53,"phone":54,"phoneExt":26,"email":55},"Noah Gruber, MD","CONTACT","+97235305015","noah.gruber@sheba.health.gov.il",[57],{"facility":58,"status":59,"city":60,"state":26,"zip":26,"country":61,"countryCode":62,"cosmosGeoPoint":63,"geoPoint":68,"contacts":26},"Sheba medical center","RECRUITING","Ramat Gan","Israel","IL",{"type":64,"coordinates":65},"Point",[66,67],34.81065,32.08227,{"lat":67,"lon":66},{"type":70,"investigatorFullName":26,"investigatorTitle":26,"investigatorAffiliation":26,"oldNameTitle":26,"oldOrganization":26},"SPONSOR","100656666","feasibility-and-effectiveness-of-tele-diabetes-remote-system-on-glycemic-control-and-quality-of-life-of-children-and-youth-with-type-1-diabetes-100656666",false,"NCT07828106","Feasibility and Effectiveness of Tele-diabetes Remote System on Glycemic Control and Quality of Life of Children and Youth With Type 1 Diabetes","Inclusion Criteria:\n\n* Participants must have a confirmed diagnosis of Type 1 Diabetes Mellitus (T1DM).\n* Participants must use Dexcome Continuous Glucose Monitoring (CGM)\n* Must have access to a smartphone capable of receiving WhatsApp messages.\n* Participants must use a closed-loop insulin pump system (also known as an artificial pancreas system) omnipod DIY or Tandem.\n\nExclusion Criteria:\n\n* Participants who are not using Dexcome Continuous Glucose Monitoring (CGM) and a closed-loop insulin pump system","ALL","1 Year","25 Years",{"count":81,"type":82},100,"ESTIMATED","INTERVENTIONAL",[85],"NA","The goal of this clinical trial is to examine the feasibility and effectiveness of a tele-diabetes remote monitoring system on managing type 1 diabetes (T1DM) among children and adolescents. The study aims to assess whether this system, which incorporates a WhatsApp-based alert system, can improve clinical outcomes, increase adherence to treatment, enhance quality of life, and reduce healthcare utilization in this population. The main questions it aims to answer are:\n\nDoes the tele-diabetes remote system improve glycemic control (e.g., time in range \\[TIR\\], frequency of hypoglycemia and hyperglycemia, HbA1c levels)? Does it enhance adherence to treatment and overall quality of life for children and youth with T1DM? Does the system reduce the number of emergency room visits for diabetic ketoacidosis (DKA) or severe hypoglycemia, hospitalizations, and overall medical costs? Researchers will compare participants who receive WhatsApp notifications (intervention group) with those receiving standard care (control group) to evaluate differences in clinical outcomes, quality of life, and healthcare burden.\n\nParticipants will:\n\nReceive notifications via WhatsApp messages sent by a system developed by the research team, which monitors glucose trends in real-time and sends alerts when patterns (e.g., hypoglycemia, hyperglycemia) are detected.\n\nParticipate in follow-ups supported by the hybrid medical team between routine clinic visits.",[88,89,90,91,92],"Diabetes Mellitus, Type 1 Diabetes","Mobile Health Platform","Mobile Health Technology (mHealth)","Mobile Health","Telemedicine","2026-09-14",{"date":95,"type":96},"2026-09-18","ACTUAL",{"date":98,"type":96},"2026-08-25",{"date":100,"type":82},"2027-05-30",{"name":5,"class":6},1]