Author
Mike Saks
Judith Allsop

Pub Date: 04/2007
Pages: 432

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Mike Saks and Judith Allsop
Chapter 16 - Mixed Methods and Multidisciplinary Research in Health Care
Jonathan Tritter
 
 
Contributor biography
Jonathan Tritter is Chief Executive of the NHS Centre for Involvement and Reader in The Institute of Governance and Public Management at Warwick Business School, UK. His main research interests are patient and carer experiences of illness and their involvement in the evaluation and development of services. He continues to work with colleagues in Finland and across the Nordic countries.
 
Chapter overview
This chapter examines the benefits and limitations of mixed methods and multidisciplinary research in health care. It describes mixed methods and multidisciplinary research, outlining the strengths and weakness of the approach. It then considers the implications for research design and project management.
 
Chapter links

Chapter 2 - Competing Paradigms and Health Research
Chapter 20 - Comparative Health Research

 
Suggested Online Readings
Lucke, J.C., Donald, M., Dower, J., Raphael, B. (2001) ‘Considerations in the Design of a Mixed-Method Cluster Evaluation of a Community Programme for 'At-Risk' Young People’, Evaluation, 7 (1): 110-31.
This article discusses the design of a comprehensive evaluation of a community development programme for young people 'at-risk' of self-harming behaviour. It outlines considerations in the design of the evaluation and focuses on the complexities and difficulties associated with the evaluation of a community development programme. The strengths and limitations of a mixed-method evaluation plan are discussed and recommendations made for the evaluation of practice in future.
 
Johnstone, P.L. (2004) ‘Mixed Methods, Mixed Methodology Health Services Research in Practice’, Qualitative Health Research, 14 (2): 259-71.
This paper explores the mixed methods and mixed methodology approach to studying organisational consequences of new artefact adoption in surgery in five Australian hospitals. The quantitative and qualitative data were analyzed using inductive and/or deductive reasoning.
 
Parrado, E.A., McQuiston, C. and Flippen, C.A. (2005) ‘Participatory Survey Research: Integrating Community Collaboration and Quantitative Methods for the Study of Gender and HIV Risks Among Hispanic Migrants’, Sociological Methods & Research, 34 (2): 204-39.
The article outlines a research strategy for studying difficult-to-reach migrant populations that combines community collaboration, targeted random sampling, and parallel sampling in both sending and receiving areas. This methodology was applied to the study of gender, migration, and HIV risks among Hispanic migrants in Durham, North Carolina. It is argued that community collaboration is useful in both developing a survey design and providing a context for understanding of research findings. The bias that would have resulted from conducting the study with convenience samples as opposed to a targeted random sampling technique is also discussed.
 
Further Reading
Dixon-Woods, M., Fitzpatrick, R. and Roberts, K. (2001) ‘Including Qualitative Research in Systematic Reviews: Opportunities and Problems’, Journal of Evaluation in Clinical Practice, 7: 125-33.
This is an interesting consideration of how qualitative and quantitative evidence can be synthesized together and influence clinical practice.
 
Strauss, A. and Corbin, J. (eds.) (1997) Grounded Theory in Practice. London: Sage.
This book engages explicitly with the issues of integrating the analysis of different kinds of data – exemplified by different research projects with diverse designs and objects of study.
 
Yin, R. and Campbell, D. (2003) Case Study Research: Design and Methods. 3rd edition. London: Sage.
This definitive book on the case study as a form of research usefully illustrates how to bring together a range of methods to generate a holistic understanding of specific areas.