30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A mixed methods examination of knowledge brokers and their use of theoretical frameworks and evaluative practices

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Knowledge brokering is a knowledge translation approach that includes making connections between researchers and decision-makers to facilitate the latter’s use of evidence in health promotion and the provision of healthcare. Despite knowledge brokering being well-established in Canada, many knowledge gaps exist, including understanding what theoretical frameworks have been developed and which evaluative practices knowledge brokers (KBs) use.

          Methods

          This study used a mixed methods design to examine how KBs in Canada (1) use frameworks, models and theories in their practice and (2) how they evaluate knowledge brokering interventions. We gathered interview and survey data from KB practitioners to better understand their perspectives on effective practices. Our analysis focused on understanding the theoretical frameworks used by KBs.

          Results

          This study demonstrates that KBs in Canada tend not to rely on theories or models that are specific to knowledge brokering. Rather, study participants/respondents draw on (sometimes multiple) theories and models that are fundamental to the broader field of knowledge translation – in particular, the Knowledge to Action model and the Promoting Action Research in Health Sciences framework. In evaluating the impact of their own knowledge brokering practice, participants/respondents use a wide variety of mechanisms. Evaluation was often seen as less important than supporting knowledge users and/or paying clients in accessing and utilising evidence.

          Conclusions

          Knowledge brokering as a form of knowledge translation continues to expand, but the impact on its targeted knowledge users has yet to be clearly established. The quality of engagement between KBs and their clients might increase – the knowledge brokering can be more impactful – if KBs made efforts to describe, understand and evaluate their activities using theories or models specific to KB.

          Related collections

          Most cited references19

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Evaluating the successful implementation of evidence into practice using the PARiHS framework: theoretical and practical challenges

          Background The PARiHS framework (Promoting Action on Research Implementation in Health Services) has proved to be a useful practical and conceptual heuristic for many researchers and practitioners in framing their research or knowledge translation endeavours. However, as a conceptual framework it still remains untested and therefore its contribution to the overall development and testing of theory in the field of implementation science is largely unquantified. Discussion This being the case, the paper provides an integrated summary of our conceptual and theoretical thinking so far and introduces a typology (derived from social policy analysis) used to distinguish between the terms conceptual framework, theory and model – important definitional and conceptual issues in trying to refine theoretical and methodological approaches to knowledge translation. Secondly, the paper describes the next phase of our work, in particular concentrating on the conceptual thinking and mapping that has led to the generation of the hypothesis that the PARiHS framework is best utilised as a two-stage process: as a preliminary (diagnostic and evaluative) measure of the elements and sub-elements of evidence (E) and context (C), and then using the aggregated data from these measures to determine the most appropriate facilitation method. The exact nature of the intervention is thus determined by the specific actors in the specific context at a specific time and place. In the process of refining this next phase of our work, we have had to consider the wider issues around the use of theories to inform and shape our research activity; the ongoing challenges of developing robust and sensitive measures; facilitation as an intervention for getting research into practice; and finally to note how the current debates around evidence into practice are adopting wider notions that fit innovations more generally. Summary The paper concludes by suggesting that the future direction of the work on the PARiHS framework is to develop a two-stage diagnostic and evaluative approach, where the intervention is shaped and moulded by the information gathered about the specific situation and from participating stakeholders. In order to expedite the generation of new evidence and testing of emerging theories, we suggest the formation of an international research implementation science collaborative that can systematically collect and analyse experiences of using and testing the PARiHS framework and similar conceptual and theoretical approaches. We also recommend further refinement of the definitions around conceptual framework, theory, and model, suggesting a wider discussion that embraces multiple epistemological and ontological perspectives.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Enabling the implementation of evidence based practice: a conceptual framework

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              A description of a knowledge broker role implemented as part of a randomized controlled trial evaluating three knowledge translation strategies

              Background A knowledge broker (KB) is a popular knowledge translation and exchange (KTE) strategy emerging in Canada to promote interaction between researchers and end users, as well as to develop capacity for evidence-informed decision making. A KB provides a link between research producers and end users by developing a mutual understanding of goals and cultures, collaborates with end users to identify issues and problems for which solutions are required, and facilitates the identification, access, assessment, interpretation, and translation of research evidence into local policy and practice. Knowledge-brokering can be carried out by individuals, groups and/or organizations, as well as entire countries. In each case, the KB is linked with a group of end users and focuses on promoting the integration of the best available evidence into policy and practice-related decisions. Methods A KB intervention comprised one of three KTE interventions evaluated in a randomized controlled trial. Results KB activities were classified into the following categories: initial and ongoing needs assessments; scanning the horizon; knowledge management; KTE; network development, maintenance, and facilitation; facilitation of individual capacity development in evidence informed decision making; and g) facilitation of and support for organizational change. Conclusion As the KB role developed during this study, central themes that emerged as particularly important included relationship development, ongoing support, customized approaches, and opportunities for individual and organizational capacity development. The novelty of the KB role in public health provides a unique opportunity to assess the need for and reaction to the role and its associated activities. Future research should include studies to evaluate the effectiveness of KBs in different settings and among different health care professionals, and to explore the optimal preparation and training of KBs, as well as the identification of the personality characteristics most closely associated with KB effectiveness. Studies should also seek to better understand which combination of KB activities are associated with optimal evidence-informed decision making outcomes, and whether the combination changes in different settings and among different health care decision makers.
                Bookmark

                Author and article information

                Contributors
                kristine.newman@ryerson.ca
                ryan.t.deforge@gmail.com
                dvaneerd@iwh.on.ca
                yan.mok@ryerson.ca
                evelyn.cornelissen@ubc.ca
                Journal
                Health Res Policy Syst
                Health Res Policy Syst
                Health Research Policy and Systems
                BioMed Central (London )
                1478-4505
                27 March 2020
                27 March 2020
                2020
                : 18
                : 34
                Affiliations
                [1 ]GRID grid.68312.3e, ISNI 0000 0004 1936 9422, Daphne Cockwell School of Nursing, , Ryerson University, ; Toronto, Canada
                [2 ]GRID grid.267455.7, ISNI 0000 0004 1936 9596, World Health Innovation Network, Odette School of Business, , University of Windsor, ; Windsor, Canada
                [3 ]GRID grid.414697.9, ISNI 0000 0000 9946 020X, Institute for Work & Health, ; Toronto, Canada
                [4 ]GRID grid.17091.3e, ISNI 0000 0001 2288 9830, Department of Family Practice, Faculty of Medicine, , University of British Columbia, ; Vancouver, Canada
                Article
                545
                10.1186/s12961-020-0545-8
                7099818
                32216781
                46fedbfd-94d1-4e8f-9d77-bdae9d5a1edc
                © The Author(s). 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 9 May 2019
                : 25 February 2020
                Funding
                Funded by: Ryerson Health Research Fund
                Award ID: 130473
                Award Recipient :
                Funded by: Faculty of Community Services, Ryerson University
                Award ID: 131857
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Health & Social care
                healthcare,implementation and dissemination,knowledge broker,knowledge translation,mixed methods

                Comments

                Comment on this article