Book Appointment Health Check-ups Lab Reports Home Sample Collection

Study Overview : DEDICOM

Evaluating the Real-World Quality of Diabetes Care in Delhi

This study presents a comprehensive evaluation of the quality of diabetes care (QOC) among patients in Delhi using data from the DEDICOM-II community survey.

Unlike facility-based studies, this research captures real-world care delivery across diverse socio-economic groups, reflecting how diabetes is actually managed outside structured healthcare systems.

It provides critical insights into:

  • Glycaemic, blood pressure, and lipid control
  • Adherence to recommended clinical practices
  • Gaps in preventive and monitoring care

The study highlights the disconnect between established clinical guidelines and real-world practice, offering a clear picture of care delivery at the population level.

DEDINTT Study Overview Infographic

The Problem

A Widening Gap Between Guidelines and Care Delivery

img

Despite well-established standards for diabetes management, their translation into routine care remains significantly deficient, especially in low- and middle-income settings.

Key challenges include:

  • Poor adherence to evidence-based clinical guidelines
  • Lack of routine monitoring and preventive assessments
  • Fragmented healthcare delivery systems
  • High dependence on general practitioners with variable expertise
  • Limited access to comprehensive diabetes care facilities

In India, community-level data on quality of care is scarce, making it difficult to measure performance, identify gaps, and drive improvement.

Objective

Assessing Quality of Care in Real-World Settings

The primary objective of the study is to:

  • Evaluate the quality of diabetes care in known patients
  • Measure adherence to
    • Clinical guidelines
    • Monitoring protocols
    • Preventive care practices
  • Assess:
    • Glycaemic control
    • Blood pressure and lipid management
    • Process-of-care indicators

The study aims to generate representative, community-level evidence to inform healthcare improvements.

research-objective-dedintt

Study Design & Methodology

A Cluster-Randomized Community Survey Approach

Study Design and Methodology

Intervention:

  • Existing patterns of care delivery
  • Clinical management practices
  • Preventive care adherence

The study was conducted using a two-stage cluster randomized sampling design across Delhi.

01

Key Methodology Elements:

  • 30 clusters selected from 150 wards (Probability Proportionate to Size)
  • House-to-house survey across selected colonies
  • Inclusion:
  • Adults aged 35–65 years
  • Known diabetes ≥1 year
  • Sample size:
  • 843 participants
  • 800 with laboratory data
02

Data Collection Included:

  • Key Methodology Elements:
  • 30 clusters selected from 150 wards (Probability Proportionate to Size)
  • House-to-house survey across selected colonies
  • Inclusion:
  • Adults aged 35–65 years
  • Known diabetes ≥1 year
  • Sample size:
  • 843 participants
  • 800 with laboratory data

This methodology ensures representative, population-level insights into diabetes care quality.

Outcome Measures:

Clinical Outcomes

  • Glycaemic control (HbA1c levels) , Blood pressure control, Lipid profile management

Process-of-Care Outcomes

  • Frequency of:
    • HbA1c testing, Eye examination, Foot examination, Lipid testing
  • Medication use:
    • Oral drugs, insulin, Aspirin, Lipid-lowering therapy Composite Quality Indicators
  • ABCD control:
    • HbA1c, Blood pressure, Cholesterol, Smoking status

Key Findings

Poor Control, Low Monitoring and Major Gaps in Care

The study reveals a critical care gap:

Poor Glycaemic Control

  • ~58% had HbA1c >8%
  • ~33% had HbA1c >10%

High Burden of Risk Factors

  • ~57% hypertensive
  • ~67% with high LDL levels
  • Majority with dyslipidemia

Extremely Low Preventive Care

  • HbA1c testing (last year): ~25%
  • Eye examination: ~2.4%
  • Foot examination: ~4.1%
  • Microalbuminuria testing: ~1.2%

Low Use of Essential Therapies

  • Lipid-lowering drugs: ~16%
  • Aspirin use: ~9%

Very Poor Overall Control

  • Only ~4.3% achieved full ABCD control
Key Findings Infographic
Real-World Impact Infographic

Impact

A System-Level Failure in Chronic Disease Management

The findings indicate:

  • Widespread poor disease control
  • Inadequate preventive care practices
  • Significant missed opportunities for early intervention

Health System Implications

  • Urgent need to strengthen primary diabetes care
  • Improve screening and monitoring systems
  • Standardize care delivery across providers
  • Increase access to specialized diabetes care
  • Enhance patient awareness and education

Highlight

Only ~4% of patients achieved complete diabetes control-highlighting a critical gap between clinical guidelines and real-world care

Global Significance

A Wake-Up Call for Diabetes Care in LMICs

This study has broader relevance for global health systems:

01

Demonstrates the gap between guidelines and implementation

02

Highlights challenges in community-level care delivery

03

Emphasizes need for standardized care systems

04

Reinforces importance of data-driven healthcare improvement

Why This Study is Globally Relevant

Provides a scalable framework for evaluating and improving diabetes care quality in low-resource settings

dedintt Research Team
About The Research Team

Leaders in Clinical Epidemiology and Community Health Research

This study was conducted by researchers from:

Sitaram Bhartia Institute of Science and Research (SBISR), New Delhi

The team specializes in:

  • Diabetes epidemiology
  • Health systems research
  • Community-based clinical studies
  • Evidence-driven healthcare design

Their work focuses on generating real-world evidence to improve healthcare delivery and equity.

Publication Authority

Published in Diabetic Medicine (Diabetes UK Journal), 2021

This is a high-impact, peer-reviewed journal, reinforcing the scientific validity and global relevance of the findings.

JMIR Research Protocols Journal

Closing the Gap Between Knowledge and Care

We welcome collaborations with:

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

Improving diabetes outcomes begins with improving the quality of care—at scale, and at the community level..

Chat with us