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Research and Data | Dimagi

DIMAGI RESEARCH

The Research & Data Team

The Research and Data (RAD) team conducts research on digital solutions intended to improve the health and quality of life of individuals living in low-resource, underserved communities around the world. Utilizing a mixed-methods approach, we build and evaluate digital tools and data analytics to inform our understanding of how digital tools are used and/or generate useful insights for improving healthcare programs.

Our research aims to advance the field of digital development through rigorous investigation of how current and emerging technologies, including AI and Large Language Models, are used and how they can be improved. Progress in digital development depends not only on validating digital technologies but also the generation of programmatic insights that can go towards the improvement of digital solutions.

Selected Publications

RAD collaborates closely with subject matter experts across a variety of public health domains, from more than a dozen universities and academic medical centers. Together we study the use and impact of digital technology on health and related socio-behavioral outcomes. Through these collaborations, RAD seeks to share learnings and research studies with the broader health, ICT4D, and informatics communities.

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

2024


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

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

2024


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

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

2024


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

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

2024


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

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

2022


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

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

2021

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

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

2021

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

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

2016

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

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

2016

Kaphle S, Matheke-Fischer M, Lesh N

Collaborations

The RAD team actively seeks new collaborations to design and develop innovative digital health solutions and rigorously study and evaluate the usability, acceptability, feasibility, and impact of digital tools, ranging from AI-powered chatbots to advanced health data analytics tools. If you are looking for a strong research and implementation partner to work with on a small- or large-scale research project

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