Evaluating a novel approach to stimulate open science collaborations: a case series of “study-a-thon” events within the OHDSI and European IMI communities

Author:

Hughes N1ORCID,Rijnbeek P R2,van Bochove K3,Duarte-Salles T4ORCID,Steinbeisser C5,Vizcaya D6,Prieto-Alhambra D7,Ryan P8

Affiliation:

1. Epidemiology, Janssen R&D , Beerse, Belgium

2. Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands

3. The Hyve , Utrecht, The Netherlands

4. Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol) , Barcelona, Spain

5. Steinbeisser Project Management , Munich, Germany

6. Bayer Pharmaceuticals , Sant Joan Despi, Spain

7. NDORMS, University of Oxford , Oxford, UK

8. Epidemiology, Janssen R&D , Titusville, New Jersey, USA

Abstract

AbstractObjectiveWe introduce and review the concept of a study-a-thon as a catalyst for open science in medicine, utilizing harmonized real world, observation health data, tools, skills, and methods to conduct network studies, generating insights for those wishing to use study-a-thons for future research.Materials and MethodsA series of historical study-a-thons since 2017 to present were reviewed for thematic insights as to the opportunity to accelerate the research method to conduct studies across therapeutic areas. Review of publications and experience of the authors generated insights to illustrate the conduct of study-a-thons, key learning, and direction for those wishing to conduct future such study-a-thons.ResultsA review of six study-a-thons have provided insights into their scientific impact, and 13 areas of insights for those wishing to conduct future study-a-thons. Defining aspects of the study-a-thon method for rapid, collaborative research through network studies reinforce the need to clear scientific rationale, tools, skills, and methods being collaboratively to conduct a focused study. Well-characterized preparatory, execution and postevent phases, coalescing skills, experience, data, clinical input (ensuring representative clinical context to the research query), and well-defined, logical steps in conducting research via the study-a-thon method are critical.ConclusionsA study-a-thon is a focused multiday research event generating reliable evidence on a specific medical topic across different countries and health systems. In a study-a-thon, a multidisciplinary team collaborate to create an accelerated contribution to scientific evidence and clinical practice. It critically accelerates the research process, without inhibiting the quality of the research output and evidence generation, through a reproducible process.

Funder

European Health Data & Evidence Network

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference25 articles.

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2. Waste in COVID-19 research;Glasziou;BMJ,2020

3. Characterizing treatment pathways at scale using the OHDSI network;Hripcsak;Proc Natl Acad Sci U S A,2016

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