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

N. Hughes*, P. R. Rijnbeek, K. Van Bochove, T. Duarte-Salles, C. Steinbeisser, Vizcaya, D. Prieto-Alhambra, P. Ryan

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Objective: We 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 Methods: A 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. Results: A 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. Conclusions: A 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.

Original languageEnglish
Article numberooac100
JournalJAMIA Open
Issue number4
Publication statusPublished - Dec 2022

Bibliographical note

Research conducted and discussed was in part funded via The European Health Data & Evidence Network (EHDEN), which has received
funding from the Innovative Medicines Initiative 2 Joint Undertaking
(JU) under grant agreement No 806968. The JU receives support from
the European Union’s Horizon 2020 research and innovation programme and EFPIA. This funding mechanism applies to the authors
PRR, KvB and DP-A

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the American Medical Informatics Association.


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