Related Experiment Video
Updated: Jun 4, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
Developing and assessing the "MultiLife" intervention: a mobile health-based lifestyle toolkit for cardiometabolic
Sanghamitra Pati1, Jaideep Menon2, Tanveer Rehman3,4
1ICMR Regional Medical Research Centre, Bhubaneswar, Odisha, India. drsanghamitra12@gmail.com.
Background:
Cardiometabolic multimorbidity (CMM), characterized by the coexistence of diabetes, hypertension, and cardiovascular disease, poses a major health challenge in India, particularly in rural areas with limited healthcare resources. Lifestyle interventions can manage cardiometabolic risk factors, yet adherence remains suboptimal. Mobile health (mHealth) interventions offer a scalable approach for managing CMM by promoting behaviour change and medication adherence. We will develop and evaluate the MultiLife intervention, a mHealth-based lifestyle toolkit aimed at improving CMM management among individuals receiving primary care in Eastern India in the year 2025.
Methods:
This study is a two-arm, cluster-randomized controlled trial with a hybrid Type 1 design involving 840 participants across 18 primary health centres in Odisha and Jharkhand. Using the Health Belief Model as a conceptual framework, the MultiLife intervention will deliver daily digital reminders, weekly health education broadcasts, and ongoing primary care support in the intervention arm, while the control group will receive the standard ongoing primary care support care. The trained healthcare workers will recruit 50 CMM patients, with a 6-month intervention period, during routine visits in each cluster. Primary outcomes include changes in HbA1c from baseline (T0) to end-line (T6). Secondary outcomes include blood pressure, body mass index, physical activity, and dietary habits. Qualitative assessments will explore intervention barriers and facilitators. Implementation outcomes, assessed through the RE-AIM QuEST framework, will evaluate MultiFrame's acceptability, adoption, fidelity, and maintenance. A random-effects regression model will be used for difference-in-difference analysis, adjusting for covariates and within-cluster correlations.
Discussion:
The MultiLife trial may provide valuable insights into how mHealth-enabled primary care can enhance patient engagement, adherence, and cardiovascular risk reduction in resource-constrained settings. By integrating patient perspectives, this study could inform scalable digital health strategies for comprehensive CMM management, providing a model for future interventions in similar contexts.
Trial Registration:
CTRI.nic.in, CTRI/2024/10/074559, Registered on 1 October 2024.
Related Concept Videos
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Stress Prevention and Stress Management Techniques VI
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
Diabetes: Management and Pharmacotherapy
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
COPD: Management Using Bronchodilators and Corticosteroids
Errors occurring during blood pressure monitoring
Several factors...

