Nominations Are Open

Deadline to Submit: Monday, July 1, 2024

Submit a Nomination

About the Award

The ISPOR LMIC (Low- and Middle-Income Countries) Health Economics and Outcomes Research Excellence Award recognizes individuals with demonstrated outstanding research achievements in the area of health economics and outcomes research in LMICs (as defined by the World Bank). 


Evidence of research excellence will be assessed by evaluating the nominee’s body of work in the fields of health economics and outcomes research. Applications should provide a summary of the significant research contributions of the nominee in the methods or applications of health economics or outcomes research in LMICs. If applicable, the applications should also include specific examples of the impact of the nominee’s work on healthcare decision making or health outcomes in LMICs. 

Academicians, decision makers, industry professionals, economists, researchers and others who meet these criteria are eligible. ISPOR promotes the application of professionals newer to HEOR.

• It is strongly encouraged that the recipient be an ISPOR member in good standing for at least 2 consecutive years.
• Evidence of excellence to be assessed by evaluating the nominee's body of technical and scholarly work in the fields of health economics and outcomes research.
• The body of work may include research publications, technical reports and papers, books and book chapters, and other scholarly activities that establish the importance of the nominee's contributions. At least one paper should be published in a peer-reviewed journal indexed in MEDLINE or EMBASE.
• Academicians, decision makers, industry professionals, economists, researchers, and others who meet these criteria are eligible.
• Self-nominations are encouraged.
• A candidate may only be nominated for 1 major ISPOR award in a year.
• An individual may only receive this award once in a lifetime.


Nomination Process:

Nominators or those self-nominating must submit an application, a letter of recommendation by an ISPOR member indicating why the nominee should receive this award, and the nominee’s current curriculum vitae. Applications must be received by the deadline specified above. 


Nature of the Award:

The recipient will receive the award at the Awards Ceremony at the ISPOR Conference. The recipient will receive the following:

  • A complimentary registration to the ISPOR Conference
  • Travel and Accommodation expenses to the ISPOR Conference, per the ISPOR Travel Reimbursement policy
  • A complimentary ISPOR membership for a year
  • An unrestricted grant of $5000 USD

LMIC Health Economics and Outcomes Research Excellence Award Lead

Federico Augustovski, MD, MSc, PhD

Recipients of the LMIC Health Economics Outcomes Research Excellence Award

Vice Head of Department of Health Economics, Hanoi Medical University, Hanoi, Vietnam

2023 - Bach Xuan Tran, PhD

Dr. Bach Tran, Vice Head of Health Economics at Hanoi Medical University and Adjunct Professor at Johns Hopkins University Bloomberg School of Public Health, specializes in decision analytic modeling for health technology and policy development. His extensive research experience spans global health threats in Asia, emphasizing cost-effective interventions, health service assessment, and system strengthening, particularly in HIV/AIDS, substance use, mental health, and the COVID-19 pandemic.

Dr. Tran received a PhD in 2011 in Health Services Policy from the University of Alberta, Canada, followed by a 2013 postdoctoral fellowship at Johns Hopkins University and a 2023 Habilitation from Aix-Marseille University, France, Dr. Tran's expertise is internationally recognized. He's named a 2022 Highly Cited (Top 1%) Researcher by Clarivate, a runner-up for the 2022 APEC Research Prize on Healthy Women, Healthy Economies, and the recipient of the 2022 Rising Star of Science Award from

Professor of Health Economics, Pontificia Universidad Javeriana, Bogotá, Colombia

2022 - Diego Rosselli, MD

Diego Rosselli first got involved in HEOR when he was appointed Director for Scientific and Technological Development in the Colombian Ministry of Health in 1993. He had been teaching basic neuroscience since the early eighties, but his academic position at Javeriana University, since 1997, represented a definitive career change. Many Latin American and Caribbean country has hosted at least one of his courses in the HEOR field. Both the Colombian ISPOR chapter, and the Javeriana ISPOR Student Chapter have been recognized as significant leaders in the region.

Associate Professor, Biostatistics, American University of Beirut, Beirut, Lebanon

2021 - Samer Kharroubi, PhD

Samer Kharroubi, PhD is currently a Tenured Associate Professor of Biostatistics and the Director of the Statistics Support Clinic in the Department of Nutrition and Food Sciences at the American University of Beirut since Spring 2016. He is also an Honorary Reader of Medical Statistics in the School of Health and Related Research at the University of Sheffield, UK. Further, he is a Chartered Statistician, which is a qualification administered by the Royal Statistical Society that recognizes his expertise as a practicing statistician.

His research and academic career started as Post-doctoral Research Associate in the Centre for Bayesian Statistics in Health Economics at Sheffield University in 2002, moving to the University of York (UK) as Lecturer in Statistics in 2006, then becoming a Senior Lecturer in 2011.

His research is in the theory and applications of “Bayesian Statistics”. On the methodological side, his main research area is in the computational aspects of Bayesian statistics and in Bayesian modelling generally.  On the application side, his most significant research advances is in the application of Bayesian Statistics in Health Economics, focusing mainly on two areas: (1) the development of methods for estimating health utility algorithms in a Bayesian framework; and (2) the development of methods for the implementation of value of partial and sample information in decision analytic cost effectiveness models.
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