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    Development of a theory of implementation and integration: normalization process theory

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    Date
    2009-05-21
    Author
    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
    Légaré, France
    Gunn, Jane
    Montori, Victor M
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    Cited 433 times in Scopus (view citations)
    
    Recommended Citation
    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; Légaré, France; Gunn, Jane; Montori, Victor M (2009). Development of a theory of implementation and integration: normalization process theory. Implementation Science 4 ,
    Published Version
    https://implementationscience.biomedcentral.com/track/pdf/10.1186/1748-5908-4-29?site=implementationscience.biomedcentral.com
    Abstract
    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.
    URI
    http://hdl.handle.net/10379/12691
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