An interdisciplinary theory of implementation, embedding and integration: the development of normalization process theory

May, Carl R., Mair, Frances, Finch , Tracy, MacFarlane, Anne, Dowrick, Christopher, Treweek, Shaun, Rapley, Tim, Ballini, Luciana, Ong, Bie Nio, Rogers, Anne, Murray, Elizabeth, Elwyn, Glyn, Legare, France, Gunn, Jane and Montori, Victor M. (2009) An interdisciplinary theory of implementation, embedding and integration: the development of normalization process theory. Implementation Science, 4, (29) (doi:10.1186/1748-5908-4-29). (PMID:2693517).


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Background: Theories are important tools in the social and natural sciences. The methods by which they are derived are rarely described and discussed. Normalization Process Theory explains how new technologies, ways of acting, and ways of working become routinely embedded in everyday practice, and has applications in the study of implementation processes. This paper describes the process by which it was built.

Methods: Between 1998 and 2008, we developed a theory. We derived a set of empirical generalizations from analysis of data collected in qualitative studies of healthcare work and organization. We developed an applied theoretical model through analysis of empirical generalizations. Finally, we built a formal theory through a process of extension and implication analysis of the applied theoretical model.

Results: Each phase of theory development showed that the constructs of the theory did not conflict with each other, had explanatory power, and possessed sufficient robustness for formal testing. As the theory developed, its scope expanded from a set of observed regularities in data with procedural explanations, to an applied theoretical model, to a formal middle-range theory.

Conclusion: Normalization Process Theory has been developed through procedures that were properly sceptical and critical, and which were opened to review at each stage of development. The theory has been shown to merit formal testing.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1186/1748-5908-4-29
ISSNs: 1748-5908 (print)
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > School of Health Sciences
ePrint ID: 167283
Accepted Date and Publication Date:
21 May 2009Published
Date Deposited: 11 Nov 2010 11:46
Last Modified: 31 Mar 2016 13:30

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