Combining problem structuring methods to conduct applied research: a mixed methods approach to studying fitness-to-drive in the UK

Abstract

This paper describes a mixed methods approach using problem structuring methods to conduct applied research into fitness-to-drive arrangements within the UK Department for Transport. Computer-supported group causal mapping was used to collect and structure qualitative data from stakeholder groups concerning the delivery of medical standards on fitness-to-drive. The data were subsequently coded and analysed using the modelling language of soft systems methodology. This enabled data to be linked to the concept of a ‘fitness-to-drive system’ and developed further in the form of systems models based on alternative worldviews. The paper reports on the process of developing and implementing the approach and discusses issues concerning the conduct of mixed methods research using problem structuring methods.

Keywords:

• problem structuring methods
• mixed methods research
• causal mapping
• soft systems methodology

Acknowledgements

The work reported here was part of a larger research project conducted by the University of Warwick on behalf of the UK Department of Transport. We thank Dr Carol Hawley (principal investigator, Warwick Medical School) and Professor Jonathan Rosenhead (Advisor to the Department of Transport, London School of Economics) for their support and feedback during our involvement in the research.