Abstract

BackgroundIn knowledge translation, complex interventions may be implemented in the attempt to improve uptake of research-based knowledge in practice. Traditional evaluation efforts that focus on aggregate effectiveness represent an oversimplification of both the environment and the interventions themselves. However, theory-based approaches to evaluation, such as realist evaluation (RE), may be better-suited to examination of complex knowledge translation interventions with a view to understanding what works, for whom, and under what conditions. It is the aim of the present state-of-the-art review to examine current literature with regard to the use of RE in the assessment of knowledge translation interventions implemented within healthcare environments.MethodsMultiple online databases were searched from 1997 through June 2013. Primary studies examining the application or implementation of knowledge translation interventions within healthcare settings and using RE were selected for inclusion. Varying applications of RE across studies were examined in terms of a) reporting of core elements of RE, and b) potential feasibility of this evaluation method.ResultsA total of 14 studies (6 study protocols), published between 2007 and 2013, were identified for inclusion. Projects were initiated in a variety of healthcare settings and represented a range of interventions. While a majority of authors mentioned context (C), mechanism (M) and outcome (O), a minority reported the development of C-M-O configurations or testable hypotheses based on these configurations. Four completed studies reported results that included refinement of proposed C-M-O configurations and offered explanations within the RE framework. In the few studies offering insight regarding challenges associated with the use of RE, difficulties were expressed regarding the definition of both mechanisms and contextual factors. Overall, RE was perceived as time-consuming and resource intensive.ConclusionsThe use of RE in knowledge translation is relatively new; however, theory-building approaches to the examination of complex interventions in this area may be increasing as researchers attempt to identify what works, for whom and under what circumstances. Completion of the RE cycle may be challenging, particularly in the development of C-M-O configurations; however, as researchers approach challenges and explore innovations in its application, rich and detailed accounts may improve feasibility.Electronic supplementary materialThe online version of this article (doi:10.1186/s13012-014-0115-y) contains supplementary material, which is available to authorized users.

Highlights

  • In knowledge translation, complex interventions may be implemented in the attempt to improve uptake of research-based knowledge in practice

  • From 127 citations retrieved from searches performed in 4 databases, a total of 18 articles representing 14 studies were identified for inclusion

  • In two cases [27,28], the article identified in the initial search provided a description of a realist evaluation associated with a randomized controlled trial

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Summary

Introduction

Complex interventions may be implemented in the attempt to improve uptake of research-based knowledge in practice. Knowledge Translation, according to the Canadian Institutes of Health Research, may be defined as the ‘exchange, synthesis and ethically-sound application of knowledge within a complex system of interactions among researchers and users – to accelerate the capture of the benefits of research for Canadians through improved health, more human reaction and reasoning on the part of both the intervention recipients and the individual(s) providing the intervention to achieve outcomes [4,5,6] Under these conditions, traditional evaluation efforts that focus on aggregate effectiveness represent a vast oversimplification of both the environment and the interventions themselves [7]. In the real world, this oversimplified model of assessment provides little information about the effectiveness of complex interventions within uncontrolled, context-rich settings and may be insufficient to inform future implementation efforts [4,5,7,12]

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