Devarsetty Praveen

About Dr Devarsetty Praveen

Global Strategic Priority Lead - Better Care & Director Primary Health Care

  • Associate Professor, Faculty of Medicine, UNSW Sydney
  • MBBS,
  • MD,
  • PhD

Dr. Devarsetty Praveen is a public health expert with deep knowledge of epidemiological research and a strong focus on using system-based innovations to tackle inequities in chronic disease care. He serves as the Director of the NIHR-funded Global Health Research Center for NCDs and Environmental Changes, as well as the Director of the Primary Health Care Research Consortium Secretariat. In these roles, he leads research efforts that are policy-relevant and aim to strengthen high-quality primary health care systems globally.

Dr. Praveen has extensive experience in designing and implementing large-scale primary care research projects, particularly using digital health strategies (e/m-health) in countries such as India, Indonesia, Bangladesh, Myanmar, and Thailand. He applies mixed-methods research and implementation science to integrate proven evidence into routine practice, improving access to quality health care.

He is the elected Co-Chair of the Hypertension Research Program within the Global Alliance for Chronic Diseases, a network of major research funding agencies dedicated to addressing chronic non-communicable diseases. Dr. Praveen holds a PhD in Medicine from the School of Public Health, University of Sydney.

Perinatal mental health and its social determinants: qualitative findings from rural Telangana

BMC Psychiatry Date published:

Barriers and Facilitators in the Implementation of the Systematic Medical Appraisal, Referral, and Treatment (SMART) Mental Health Digital Intervention in Rural India: Mixed Methods Process Evaluation Study

JMIR Mental Health Date published:

Process evaluation protocol of a trial evaluating app-based post knee arthroplasty telerehabilitation strategy in India

Wellcome Open Research Date published:

Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs

Nature Computational Science Date published:

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