Webinar: Dr. Brynne Gilmore - Data Extraction and Synthesis in Realist Reviews

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Data extraction and synthesis are amongst the most methodologically demanding stages of a realist review, requiring researchers to make complex, theoretically informed judgements using heterogeneous, and often incomplete, evidence. This one-hour webinar is designed for researchers and academics with an existing foundational knowledge of the realist approach who wish to deepen their understanding of these critical stages. Drawing on established realist methodology and examples, the webinar will explore how to extract evidence of generative causation in the form of CMOCs, and how these CMOCs are subsequently used to refine and test programme theories during the synthesis stage. Through a combination of presentation and worked examples, participants will develop greater confidence and precision in their approach to data extraction and synthesis within realist reviews.

Speaker:

Dr. Brynne Gilmore is Assistant Professor of Health Systems in University College Dublin. Brynne is an applied global health researcher who uses theory-driven methodologies to evaluate and improve health programmes. She has been using realist reviews and evaluations for over 10 years and across numerous contexts. She has conducted or contributed to over 10 realist reviews and rapid realist reviews, and 7 realist evaluations. Brynne has written several realist methodology papers and book chapters, including on data analysis and synthesis, advisory groups and article appraisal. She is currently part of a team developing quality reporting standards for realist reviews, and is an advisor on two large international realist projects. She is a frequent peer reviewer and grant reviewer for realist projects, has supervised PhD students using realist methodologies and has examined realist PhDs.