Dimagi's Research Team

Rigorous research on what makes digital health work

Dimagi's Research team builds and evaluates digital tools for low-resource communities, then studies what makes them work.

Who we are

Research that makes digital solutions better

We build and evaluate digital tools for low-resource communities worldwide, using mixed methods to learn what works. Our research spans emerging technology, including AI and large language models, and turns program data into insights that make healthcare programs better.

Dimagi researchers running a card-sorting session with community members during field research

12+ partners

We partner with universities and academic medical centers to study how digital technology affects health.

Mixed methods

From randomized controlled trials to human-centered design, we match the method to the question.

Shared openly

Findings are peer-reviewed and shared with the wider health, ICT4D, and informatics communities.

Focus

What we study

Digital health tools

Designing and evaluating mobile and web solutions built for low-resource, underserved communities.

AI & large language models

Investigating how emerging AI can be applied responsibly and improved for global health.

Data & analytics

Turning program data into insights that strengthen healthcare delivery and outcomes.

Mixed-methods evaluation

Rigorously assessing the usability, feasibility, acceptability, and impact of digital tools.

Publications

Selected publications

Peer-reviewed work with more than a dozen universities and academic medical centers on the impact of digital technology on health.

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2024

Designing an App to Support Measurement-Based Peer Supervision of Frontline Health Workers Delivering Brief Psychosocial Interventions in Texas: Multimethod Study

Gibson DG, Muyoyeta M, Simulundu E, Mukusya S, Banda R, Chavula C, Mutale W, Biemba G, and Yeung S

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2024

Journal of Medical Internet Research – Chatbots That Deliver Contraceptive Support: Systematic Review

Dulli LS, Ridgeway K, Govindasamy D, Saidu Y, Pillay D, and Bekker LG

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2024

Development and Pilot Testing of PracticePal, a Conversational Agent to Support the delivery of a brief behavioural activation treatment for depression in rural India

Tripathy JP, Singh B, Walia K, Jeyashree K, Lakshmi K, Mishra J, Makkar N, Lesh N, and Sinha DN

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2024

Human Review for Post-Training Improvement of Low-Resource Language Performance in Large Language Models

Rao G, Kumar R, Aggarwal A, Sharma R, Pal A, Lesh N, and Bhargava A

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2022

How a Digital Case Management Platform Affects Community-Based Palliative Care of Sub-Saharan African Cancer Patients

Vasan A, Palazuelos D, Delaire T, and Dworkis D

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2021

A Mobile App to Improve Symptom Control and Information Exchange Among Specialists and Local Health Workers Treating Tanzanian Cancer Patients: Human-Centered Design Approach

Morse RS, Lambden K, Quinn E, Ngoma T, Mushi B, Ho YX, Ngoma M, Mahuna H, Sagan SB, Mmari J, Miesfeldt S

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2021

A Mobile Health Tool for Peer Support of Individuals Reentering Communities After Incarceration

Fuller, JM, Ho, YX, Morse, R, Fix, G, Cutrona, SL, Gaziano, T, … McInnes, DK.

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2016

Closing the Feedback Loop : A 12-month Evaluation of ASTA, a Self-Tracking Application for ASHAs

DeRenzi B, Wacksman J, Dell N, Lee S, Lesh N, Borriello G, and Ellner A

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2016

Effect of Performance Feedback on Community Health Workers’ Motivation and Performance in Madhya Pradesh, India: A Randomized Controlled Trial

Kaphle S, Matheke-Fischer M, Lesh N

View Publication

Looking for evidence on CommCare?

Explore 130+ studies on CommCare's impact in the CommCare Evidence Base.

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Work with us

Let's study what works, together

Our research and data team is looking for new partners, from AI chatbots to health data analytics. If you need a strong research and implementation partner at any scale, we would love to hear from you.

Get in touch