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Chapter 5 - Refining Realist Theory through Process Evaluations

Published online by Cambridge University Press:  08 February 2024

Chris Bonell
Affiliation:
London School of Hygiene and Tropical Medicine
G. J. Melendez-Torres
Affiliation:
University of Exeter
Emily Warren
Affiliation:
London School of Hygiene and Tropical Medicine
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Summary

It is important to limit statistical testing of context–mechanism–outcome configurations (CMOCs) to those which are most plausible. This is because testing too many hypotheses will lead to some false positive conclusions. Qualitative research conducted within process evaluations is a useful way to inform refinement of CMOCs before they are tested using quantitative data. Process evaluations aim to examine intervention implementation and the mechanisms that arise from this. They involve a mixture of quantitative (for example, logbooks completed by intervention providers) and qualitative (for example, interviews or focus groups with recipients) research. Qualitative research can be useful in assessing and refining CMOCs because intervention providers and recipients will have insights into how intervention mechanisms might interact with context to generate outcomes. These insights might be explored directly (for example, by asking participants how they think the interventions works) or indirectly (for example, by asking participants about their experiences of an interventions, and the conditions and consequences of this). Sampling for such qualitative research should ensure that a diversity of different participant accounts is explored. Analyses of these accounts can draw on grounded theory approaches which aim to build or refine theory based on qualitative data.

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Realist Trials and Systematic Reviews
Rigorous, Useful Evidence to Inform Health Policy
, pp. 37 - 50
Publisher: Cambridge University Press
Print publication year: 2024

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