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Study Overview : DEDINTT

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A New Model for Diabetes Care

The Delhi Diabetes INTervention Trial (DEDINTT) is a large-scale, community-based research initiative designed to evaluate innovative approaches to improving diabetes care in India. The study focuses on a culturally tailored, community leader-driven model of diabetes self-management education (DSME), supported by a structured toolkit (EK-DIN) and digital interface.

By combining community engagement, standardized education, and scalable delivery mechanisms, DEDINTT aims to bridge the gap between clinical recommendations and real-world diabetes care practices—particularly in resource-constrained urban settings.

DEDINTT Study Overview Infographic

The Problem

Why Diabetes Care Is Failing

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Diabetes continues to be a growing public health challenge in India, with over 100 million individuals affected and rising incidence rates. Despite the availability of evidence-based treatment guidelines, real-world outcomes remain suboptimal due to poor adherence, limited awareness, and gaps in quality of care delivery.

Community surveys in Delhi (DEDICOM and DEDICOM-II) have highlighted persistently poor glycemic control, with a significant proportion of patients exhibiting dangerously high HbA1c levels. Traditional healthcare models—primarily dependent on clinical settings and specialists—have struggled to deliver sustained behavior change at scale.

A critical gap lies in effective diabetes self-management education (DSME), especially in low-resource settings where access to trained educators is limited. There is a need for scalable, culturally relevant, and community-driven interventions that empower patients beyond the clinic.

Objective

Better Way to Manage Diabetes

The primary objective of the DEDINTT study is to develop and evaluate a culturally adapted,community-led diabetes self-management education model using the EK-DIN toolkit and digital platform.

Specifically, the study aims to:

  • Assess the effectiveness of community leader-led DSME in improving glycemic control(HbA1c levels)
  • Evaluate its impact on cardiovascular risk factors and preventive care practices
  • Determine cost-effectiveness and scalability of the intervention
  • Measure improvements in patient quality of life and long-term sustainability of outcomes
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Study Design & Methodology

Real-World Evidence, Rigorously Tested

Study Design and Methodology

DEDINTT follows a sequential mixed-methods design, combining qualitative research, intervention development, and a robust quantitative trial.

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Phase 1: Qualitative Research

  • In-depth interviews with diabetes patients across socio-economic groups
  • Identification of barriers, facilitators, and patient needs
  • Thematic analysis to inform intervention design
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Phase 2: Intervention Development

  • Co-creation of the EK-DIN toolkit and mobile application
  • Stakeholder engagement including clinicians, public health experts, patients, and technologists
  • Development of a culturally relevant, standardized DSME delivery model
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Phase 3: Implementation & Evaluation

  • A stepped wedge cluster randomized trial across 30 community clusters in Delhi
  • Sequential rollout of the intervention across clusters to ensure both control and intervention comparisons
  • Training of community leaders to deliver structured DSME sessions using EK-DIN kits

Participants are monitored at baseline, during intervention, and through longitudinal follow-ups, with clinical, behavioral, and quality-of-life data collected systematically.This design enables rigorous evaluation while maintaining real-world applicability and scalability.

Intervention:

  • Community-led diabetes education
  • EK-DIN structured learning toolkit
  • Group sessions for peer engagement
  • Scalable, tech-enabled care model

Outcome Measures:

  • HbA1c improvement (glycemic control)
  • Clinical & cardiovascular risk indicators
  • Adherence to treatment and preventive care
  • Quality of life, cost, and patient engagement

Key Findings

What the Evidence Shows

While the study is designed as an evaluation protocol, it is expected to generate high-quality evidence across multiple dimensions:

  • Clinical Outcomes: Improvement in glycemic control (HbA1c), lipid profiles, and blood pressure
  • Behavioral Outcomes: Enhanced self-management practices, adherence to treatment, and preventive care uptake
  • Quality of Life: Measurable improvements using validated tools (QOLID)
  • Economic Impact: Reduced cost burden through improved disease management and prevention of complications
  • Scalability & Sustainability: Demonstration of a replicable, community-driven model for large-scale public health implementation
  • If successful, the DEDINTT model has the potential to redefine diabetes care delivery by shifting from a provider-centric approach to a patient-empowered, community-led ecosystem, with strong implications for public health policy and nationwide adoption.
Key Findings Infographic
Real-World Impact Infographic

Impact

Better Care, Beyond Clinics

DEDINTT is designed to go beyond clinical outcomes and deliver real-world, scalable impact:

  • Empowers patients to actively manage their condition
  • Reduces dependency on overburdened healthcare systems
  • Enables community-based health ownership
  • Improves long-term disease outcomes and reduces complications
  • Demonstrates a cost-effective alternative to traditional care models
  • The study has the potential to shift diabetes care from a reactive, clinic-based model to a proactive, community-led ecosystem.

Highlight

Standardized Education + Community Delivery = Better Diabetes Care

Global Significance

A Model for the World

The DEDINTT model addresses a universal challenge—how to deliver effective chronic disease management at scale in resource-constrained settings.Its implications extend beyond India:

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Provides a replicable framework for low- and middle-income countries (LMICs)

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Aligns with global priorities on patient empowerment and community health systems

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Demonstrates how task-shifting to trained community members can improve outcomes

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Supports integration of digital health with grassroots delivery models

Why This Study is Globally Relevant

This approach could inform national health programs, WHO frameworks, and global diabetes strategies, contributing to more equitable and accessible care worldwide.

dedintt Research Team
About The Research Team

Experts Behind the
Research

The DEDINTT study is led by a multidisciplinary team from the Sitaram Bhartia Institute of Science and Research (SBISR), New Delhi, with expertise spanning clinical medicine, public health, behavioral science, and health systems research.

The team includes:

  • Senior clinicians and diabetologists
  • Public health and epidemiology experts
  • Research scientists and statisticians
  • Community engagement specialists
  • Technology and design collaborators

The study is funded by the Indian Council of Medical Research (ICMR) and builds on prior large-scale community research (DEDICOM studies), ensuring strong scientific grounding and contextual relevance. The team’s approach emphasizes rigor, collaboration, and real-world impact, with a clear focus on translating research into actionable public health solutions.

Publication Authority

Published in Open Access Research Protocols

This recognition strengthens the study’s positioning as a high-quality, policy-relevant research initiative with potential for both national and global impact.

JMIR Research Protocols Journal

Be Part of the Next Phase of Community Health Innovation

We welcome collaborations with:

  • Research institutions
  • Public health organisations
  • Funding partners
  • Policy-makers

By supporting initiatives like DEDINTT, you contribute to advancing research that can transform diabetes care, inform policy, and improve outcomes at scale.

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