GlycoQuest: An AI-Adaptive CGM-Integrated Serious Game for Pediatric Type 1 Diabetes
GlycoQuest
GlycoQuest: Glycemic and Psychosocial Outcomes of a CGM-Integrated, AI-Adaptive Serious Game Digital Therapeutic in Newly Diagnosed Pediatric Type 1 Diabetes: A Parallel-Group Randomized Controlled Trial
3 other identifiers
interventional
110
1 country
1
Brief Summary
Type 1 diabetes diagnosed in childhood requires rapid acquisition of complex self-management skills while children and caregivers are also adapting emotionally and socially to a chronic condition. Standard diabetes education is often delivered early after diagnosis, is information intensive, and is not usually personalized to real-time glucose patterns, emotional state, child developmental stage, or family communication needs. This study will evaluate GlycoQuest, an AI-adaptive, continuous glucose monitoring-integrated serious game digital therapeutic for children and adolescents newly diagnosed with type 1 diabetes and their primary caregivers. GlycoQuest uses CGM-linked gameplay, a glucose-responsive digital avatar, AI-personalized learning pathways, parent-child collaborative modules, adaptive hypoglycemia and insulin decision simulations, and psychosocial adaptation content addressing diabetes distress, fear of hypoglycemia, stigma, illness acceptance, and autonomy transition. This randomized controlled trial will enroll 110 parent-child dyads. Children aged 6 to 17 years with type 1 diabetes diagnosed within the previous 3 months will be randomized 1:1 to GlycoQuest plus standard care or enhanced digital psychoeducation plus standard care. The intervention period will be 6 months, with follow-up to 8 months. The co-primary outcomes are change in CGM-derived time in range, defined as 70 to 180 mg/dL, and child diabetes distress at 8 months. Secondary outcomes include time below range, glycemic variability, HbA1c, severe hypoglycemia, diabetic ketoacidosis readmissions, insulin omission, quality of life, fear of hypoglycemia, parental stress, diabetes family conflict, self-efficacy, engagement, and implementation outcomes.
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 Jun 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 26, 2026
CompletedStudy Start
First participant enrolled
June 1, 2026
CompletedFirst Posted
Study publicly available on registry
July 24, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
November 30, 2026
July 24, 2026
July 1, 2026
5 months
May 26, 2026
July 21, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in CGM-Derived Time in Range at 8 Months
Change from baseline to 8 months in the percentage of time spent in the glucose target range of 70 to 180 mg/dL, measured using continuous glucose monitoring data.
Baseline to 8 months
Secondary Outcomes (8)
Change in Pediatric Diabetes Distress at 8 Months
Baseline to 8 months
Change in CGM-Derived Time Below 70 mg/dL
Baseline to 8 months
Change in CGM-Derived Time Above 180 mg/dL
Baseline to 8 months
Change in CGM-Derived Glucose Coefficient of Variation
Baseline to 8 months
Change in HbA1c
Baseline, 6 and 8 months
- +3 more secondary outcomes
Other Outcomes (16)
Number of Diabetic Ketoacidosis Hospital Readmissions
Baseline to 8 months
Insulin Omission Frequency
Baseline to 8 months
Change in Fear of Hypoglycemia
Baseline to 8 months
- +13 more other outcomes
Study Arms (2)
Behavioral: GlycoQuest Digital Therapeutic
EXPERIMENTALParticipants randomized to this arm will receive GlycoQuest in addition to standard pediatric diabetes care. GlycoQuest is an AI-adaptive, CGM-integrated serious game digital therapeutic for children and adolescents newly diagnosed with type 1 diabetes and their caregivers. The platform uses CGM-linked gameplay, a glucose-responsive digital avatar, AI-personalized learning pathways, parent-child collaborative modules, adaptive hypoglycemia and insulin decision simulations, and psychosocial adaptation content. The intervention is delivered over 6 months, with follow-up to 8 months.
Enhanced Digital Psychoeducation
ACTIVE COMPARATORParticipants randomized to this arm will receive enhanced digital psychoeducation in addition to standard pediatric diabetes care. The comparator consists of a professionally designed digital library of diabetes education materials, including text, illustrations, videos, glossary functions, and links to validated diabetes resources. It is matched to GlycoQuest for general content coverage but does not include serious game mechanics, AI personalization, CGM-linked gameplay, adaptive algorithms, or parent-child co-play features.
Interventions
GlycoQuest is an AI-adaptive, CGM-integrated serious game digital therapeutic designed for children and adolescents newly diagnosed with type 1 diabetes and their caregivers. The intervention includes real-time CGM-linked gameplay, a glucose-responsive digital avatar, AI-personalized content allocation, adaptive insulin and hypoglycemia decision simulations, parent-child collaborative missions, spaced repetition, reward-based learning, self-efficacy reinforcement, and psychosocial adaptation modules addressing diabetes distress, fear of hypoglycemia, stigma, illness acceptance, and autonomy transition. GlycoQuest does not provide autonomous insulin dosing recommendations and does not replace clinical care.
Enhanced Digital Psychoeducation is a study-branded digital education app providing structured diabetes education content for children, adolescents, and caregivers. It includes educational modules, illustrations, videos, glossary functions, and links to validated diabetes resources. The comparator does not include AI personalization, CGM-linked gameplay, serious game mechanics, adaptive algorithms, digital twin functions, or parent-child co-play modules.
Eligibility Criteria
You may qualify if:
- Child or adolescent aged 6 to 17 years at enrollment.
- Diagnosis of type 1 diabetes confirmed by a pediatric endocrinologist according to standard clinical criteria.
- Type 1 diabetes diagnosed within the previous 3 months.
- Primary caregiver aged 18 years or older willing to participate as part of a parent-child dyad.
- Current use of continuous glucose monitoring or willingness to initiate CGM as part of standard diabetes care.
- Household access to a compatible smartphone or tablet, or willingness to use a study-provided device if available.
- Ability of child and caregiver to engage with study procedures and digital intervention content.
- Caregiver able to provide written informed consent.
- Child able to provide age-appropriate assent.
You may not qualify if:
- Type 1 diabetes diagnosed more than 3 months before enrollment.
- Concurrent participation in another intensive diabetes behavioral intervention trial.
- Significant developmental, intellectual, visual, motor, or psychiatric condition that, in the opinion of the clinical team, would preclude meaningful engagement with the digital game interface or study procedures.
- Acute psychiatric instability or safety concern requiring urgent specialist intervention.
- Planned transfer to a different diabetes care provider within 6 months.
- Absence of internet access that cannot be addressed by study support.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Shifa International Hospitallead
- Al Ain Universitycollaborator
Study Sites (1)
Shifa International hospital
Lahore, Punjab Province, Pakistan
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Saima Abbass, MD, PhD
Shifal hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Participants, caregivers, and intervention support staff cannot be blinded because of the nature of the digital behavioral intervention. Laboratory personnel assessing HbA1c, outcome assessors abstracting clinical events, and statisticians conducting primary analyses will be masked to group allocation where feasible.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Medical director
Study Record Dates
First Submitted
May 26, 2026
First Posted
July 24, 2026
Study Start
June 1, 2026
Primary Completion (Estimated)
November 1, 2026
Study Completion (Estimated)
November 30, 2026
Last Updated
July 24, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Time Frame
- Beginning 12 months after publication of the primary trial results and ending 5 years after publication.
- Access Criteria
- Data will be available to qualified researchers who submit a methodologically sound proposal and obtain approval from the study steering committee or designated institutional data access committee. Requestors will be required to sign a data use agreement and comply with applicable privacy, security, and child-protection requirements.
De-identified individual participant data underlying the published primary results will be made available after publication, subject to ethics approval, institutional data-sharing agreements, and protection of participant privacy. Shared data may include de-identified clinical outcomes, CGM-derived outcome metrics, questionnaire scores, and intervention engagement variables. Data that could reasonably identify child participants or families, including raw high-resolution CGM streams linked to timestamps or free-text responses, will not be shared without additional safeguards.