NCT07470905

Brief Summary

Type 1 Diabetes Mellitus (T1DM) in children requires precise insulin dose adjustments and reliable sick-day decision-making on a daily basis. In real-world practice, families frequently make errors in both domains, predisposing children to hypoglycemia, suboptimal glycemic control, and diabetic ketoacidosis (DKA). Access to structured diabetes education and specialist support is limited in India, creating an unmet need for accessible point-of-care decision support. DiaBuddy™ is a comprehensive mobile decision-support application for pediatric T1DM developed at Regency Center for Diabetes, Endocrinology and Research, Kanpur. It integrates seven modules aligned with ISPAD 2022 clinical practice guidelines: Insulin Wizard (basal titration, bolus dosing, and correction doses), Sick-Day Guide (stepwise intercurrent illness management), Sugar Tracker (glucose logging with alerts), EatRite (meal planning with carbohydrate quantification using an India-specific food database of 10,245 foods), PlayRite (physical activity guidance), SleepRite (sleep hygiene monitoring), and Knowledge Base (patient and family education). This study evaluated DiaBuddy™ in two sequential phases. Phase 1 was a preclinical vignette-based validation in which 37 families of children with T1DM independently completed 40 standardized clinical scenarios - 20 insulin-dosing and 20 sick-day - with responses compared against a blinded independent pediatric endocrinologist gold standard. Phase 2 was a prospective single-arm pilot clinical study in which 25 children aged 5 to 18 years with T1DM received structured DiaBuddy™ training and unrestricted home access for three months, with hemoglobin A1c, continuous glucose monitoring metrics, and health-related quality of life assessed at baseline and at three months. The study aimed to establish whether DiaBuddy™ produces guideline-aligned insulin dosing and sick-day recommendations, whether it outperforms unaided family decision-making, and whether its use over three months is associated with improvements in glycemic control and quality of life in children with T1DM

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
25

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Jul 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 1, 2025

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2025

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

March 10, 2026

Completed
3 days until next milestone

First Posted

Study publicly available on registry

March 13, 2026

Completed
Last Updated

March 13, 2026

Status Verified

March 1, 2026

Enrollment Period

6 months

First QC Date

March 10, 2026

Last Update Submit

March 10, 2026

Conditions

Keywords

DiaBuddyClinical decision supportSick dayInsulin doseType 1 Diabetes

Outcome Measures

Primary Outcomes (1)

  • Hemoglobin A1c

    Change in Hemoglobin A1c

    Over three months

Secondary Outcomes (2)

  • CGM metric

    3 months

  • Quality of life score

    Three months

Study Arms (1)

DiaBuddy™ mobile decision-support application.

EXPERIMENTAL

Participants recieved DiaBuddy™ mobile decision-support application.

Device: Access to DiaBuddy tool

Interventions

Children recieved access to DiaBuddy for insulin guidance and sick day management

DiaBuddy™ mobile decision-support application.

Eligibility Criteria

Age5 Years - 18 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64)

You may qualify if:

  • Diagnosed Type 1 Diabetes Mellitus for more than 1 year Age 5 to 18 years Attending pediatric endocrinology outpatient clinic at Regency Center for Diabetes Endocrinology and Research, Kanpur Caregiver willing and able to use a smartphone application Written informed consent from parent or guardian and assent from participant where applicable

You may not qualify if:

  • Type 2 diabetes or other forms of diabetes Significant comorbidity is known to independently affect glycemic control No smartphone access in the household Prior use of the DiaBuddy application Incomplete follow-up data at 3 months

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Regency Hospital

Kanpur, Uttar Pradesh, 208001, India

Location

Related Publications (1)

  • Mahapatra A, Paimode S, Banerjee S, Shukla P, Sachan N, Yadav V, Bajpai A. Development and Preclinical Validation of DiaBuddy, a Point-of-Care Decision Support Tool for Children with Type 1 Diabetes: A Pilot Clinical Study. Horm Res Paediatr. Under review. Preprint: medRxiv 2026; MEDRXIV/2026/347874.

    RESULT

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Model Details: DiaBuddy™ mobile decision-support application. Participants received structured training at enrollment followed by unrestricted home access for 3 months.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Senior Consultant

Study Record Dates

First Submitted

March 10, 2026

First Posted

March 13, 2026

Study Start

July 1, 2025

Primary Completion

December 30, 2025

Study Completion

December 30, 2025

Last Updated

March 13, 2026

Record last verified: 2026-03

Data Sharing

IPD Sharing
Will not share

DescriptionIndividual participant data will not be shared publicly, given the pilot nature of the study and small sample size

Locations