Alison L Kitson1. 1. Green Templeton College, University of Oxford, UK. alk23@btinternet.com
Abstract
BACKGROUND: Despite over 40 years' work on general systems theory, informed by critical social science, there is a mismatch between the theories used to explain and influence clinical practice in nursing and the way in which transferring new knowledge into practice is articulated. DATA SOURCES: The analysis and emerging propositions were based on a critique of seminal texts published in English up to 2008 covering critical social science, action science, diffusion of innovations, practice development and the management of innovations. DISCUSSION: There is an implicit adherence to the world view that healthcare systems operate like machines, and much of the science generated around knowledge translation research tends to be logico-deductive. This is in direct contrast to the prevailing arguments of general systems theorists, who view the system more as an organism. Five propositions are posited: knowledge translation is a necessary but not sufficient mechanism to transform systems; the 'system-as-machine' metaphor is profoundly unhelpful to knowledge translation; the healthcare system is best viewed as a complex entity; successful innovation is a function of the level of local autonomy experienced by individuals, teams and the unit involved; innovation is most effective when it involves key stakeholders. CONCLUSION: The purposeful integration of systems theory with knowledge translation theories and models may enable the application of research and new knowledge to practice to be speeded up.
BACKGROUND: Despite over 40 years' work on general systems theory, informed by critical social science, there is a mismatch between the theories used to explain and influence clinical practice in nursing and the way in which transferring new knowledge into practice is articulated. DATA SOURCES: The analysis and emerging propositions were based on a critique of seminal texts published in English up to 2008 covering critical social science, action science, diffusion of innovations, practice development and the management of innovations. DISCUSSION: There is an implicit adherence to the world view that healthcare systems operate like machines, and much of the science generated around knowledge translation research tends to be logico-deductive. This is in direct contrast to the prevailing arguments of general systems theorists, who view the system more as an organism. Five propositions are posited: knowledge translation is a necessary but not sufficient mechanism to transform systems; the 'system-as-machine' metaphor is profoundly unhelpful to knowledge translation; the healthcare system is best viewed as a complex entity; successful innovation is a function of the level of local autonomy experienced by individuals, teams and the unit involved; innovation is most effective when it involves key stakeholders. CONCLUSION: The purposeful integration of systems theory with knowledge translation theories and models may enable the application of research and new knowledge to practice to be speeded up.
Authors: Sandra A Mitchell; Cheryl A Fisher; Clare E Hastings; Leanne B Silverman; Gwenyth R Wallen Journal: Nurs Outlook Date: 2010 Nov-Dec Impact factor: 3.250
Authors: Kristy B Arbogast; Allison E Curry; Kristina B Metzger; Ronni S Kessler; Jeneita M Bell; Juliet Haarbauer-Krupa; Mark R Zonfrillo; Matthew J Breiding; Christina L Master Journal: Clin Pediatr (Phila) Date: 2017-05-19 Impact factor: 1.168