Our teams: METHODS

I am a Professor of Epidemiology at Université Paris Cité and the Assistance Publique Hôpitaux de Paris.

My research involves the development of 1) Minimally Disruptive Medicine, and especially how novel technologies such as wearable biometric monitoring devices and artificial intelligence may help patients better cope with their chronic conditions; and 2) novel methods for Citizen Science that allow to capture and analyse the perspective of large number of participants with open-text questions.

I am co-PI of the ComPaRe e-cohort, a large e-cohort of 50 000 patients with chronic conditions ih France.

Research interests

  • Multimorbidity
  • Minimally Disruptive Medicine
  • Patient Reported Outcome Measures
  • Citizen Sciences
  • Digital medicine

Key publications

  • Tran VT, Barnes C, Montori VM, Falissard B, Ravaud P. Taxonomy of the burden of treatment: a multicountry Web-based qualitative study of patients with chronic conditions. BMC Medicine. 2015.
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  • Tran VT, Porcher R, Tran VC, Ravaud P. Predicting data saturation in qualitative surveys with mathematical models from ecological research. Journal of Clinical Epidemiology. 2017
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  • Chevance A, Ravaud P, Tomlinson A, Le Berre C, Teufer B, Touboul S, Fried EI, Gartlehner G, Cipriani A, Tran VT. Identifying outcomes for depression that matter to patients, informal caregivers, and health-care professionals: qualitative content analysis of a large international online survey. The Lancet Psychiatry 2020.
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  • Tran VT, Porcher R, Pane I, Ravaud P. Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort. Nature communications 2022.
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  • Phi NTT, Oikonomidi T, Ravaud P, Tran VT. Assessment of US Food and Drug Administration-Approved Digital Medical Devices for Just-in-Time Interventions: A Systematic Review. JAMA Intern Med 2023

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