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      Collective action for implementation: a realist evaluation of organisational collaboration in healthcare

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          Abstract

          Background

          Increasingly, it is being suggested that translational gaps might be eradicated or narrowed by bringing research users and producers closer together, a theory that is largely untested. This paper reports a national study to fill a gap in the evidence about the conditions, processes and outcomes related to collaboration and implementation.

          Methods

          A longitudinal realist evaluation using multiple qualitative methods case studies was conducted with three Collaborations for Leadership in Applied Health Research in Care (England). Data were collected over four rounds of theory development, refinement and testing. Over 200 participants were involved in semi-structured interviews, non-participant observations of events and meetings, and stakeholder engagement. A combined inductive and deductive data analysis process was focused on proposition refinement and testing iteratively over data collection rounds.

          Results

          The quality of existing relationships between higher education and local health service, and views about whether implementation was a collaborative act, created a path dependency. Where implementation was perceived to be removed from service and there was a lack of organisational connections, this resulted in a focus on knowledge production and transfer, rather than co-production. The collaborations’ architectures were counterproductive because they did not facilitate connectivity and had emphasised professional and epistemic boundaries. More distributed leadership was associated with greater potential for engagement. The creation of boundary spanning roles was the most visible investment in implementation, and credible individuals in these roles resulted in cross-boundary work, in facilitation and in direct impacts. The academic-practice divide played out strongly as a context for motivation to engage, in that ‘what’s in it for me’ resulted in variable levels of engagement along a co-operation-collaboration continuum. Learning within and across collaborations was patchy depending on attention to evaluation.

          Conclusions

          These collaborations did not emerge from a vacuum, and they needed time to learn and develop. Their life cycle started with their position on collaboration, knowledge and implementation. More impactful attempts at collective action in implementation might be determined by the deliberate alignment of a number of features, including foundational relationships, vision, values, structures and processes and views about the nature of the collaboration and implementation.

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          Most cited references27

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          Case study research: Design and methods

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            A review of collaborative partnerships as a strategy for improving community health.

            Collaborative partnerships (people and organizations from multiple sectors working together in common purpose) are a prominent strategy for community health improvement. This review examines evidence about the effects of collaborative partnerships on (a) community and systems change (environmental changes), (b) community-wide behavior change, and (c) more distant population-level health outcomes. We also consider the conditions and factors that may determine whether collaborative partnerships are effective. The review concludes with specific recommendations designed to enhance research and practice and to set conditions for promoting community health.
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              Bridges, brokers and boundary spanners in collaborative networks: a systematic review

              Background Bridges, brokers and boundary spanners facilitate transactions and the flow of information between people or groups who either have no physical or cognitive access to one another, or alternatively, who have no basis on which to trust each other. The health care sector is a context that is rich in isolated clusters, such as silos and professional “tribes,” in need of connectivity. It is a key challenge in health service management to understand, analyse and exploit the role of key agents who have the capacity to connect disparate groupings in larger systems. Methods The empirical, peer reviewed, network theory literature on brokerage roles was reviewed for the years 1994 to 2011 following PRISMA guidelines. Results The 24 articles that made up the final literature set were from a wide range of settings and contexts not just healthcare. Methods of data collection, analysis, and the ways in which brokers were identified varied greatly. We found four main themes addressed in the literature: identifying brokers and brokerage opportunities, generation and integration of innovation, knowledge brokerage, and trust. The benefits as well as the costs of brokerage roles were examined. Conclusions Collaborative networks by definition, seek to bring disparate groups together so that they can work effectively and synergistically together. Brokers can support the controlled transfer of specialised knowledge between groups, increase cooperation by liaising with people from both sides of the gap, and improve efficiency by introducing “good ideas” from one isolated setting into another. There are significant costs to brokerage. Densely linked networks are more efficient at diffusing information to all their members when compared to sparsely linked groups. This means that while a bridge across a structural hole allows information to reach actors that were previously isolated, it is not the most efficient way to transfer information. Brokers who become the holders of, or the gatekeepers to, specialised knowledge or resources can become overwhelmed by the role and so need support in order to function optimally.
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                Author and article information

                Contributors
                j.rycroft-malone@bangor.ac.uk
                c.burton@bangor.ac.uk
                j.e.wilkinson@stir.ac.uk
                gillian.harvey@adelaide.edu.au
                BMcCormack@qmu.ac.uk
                rb14@le.ac.uk
                Sue.Dopson@sbs.ox.ac.uk
                igraham@ohri.ca
                Sophie.Staniszewska@warwick.ac.uk
                c.a.thompson@leeds.ac.uk
                s.ariss@sheffield.ac.uk
                lucy.melville-richards@bangor.ac.uk
                lynne.williams@bangor.ac.uk
                Journal
                Implement Sci
                Implement Sci
                Implementation Science : IS
                BioMed Central (London )
                1748-5908
                9 February 2016
                9 February 2016
                2015
                : 11
                : 17
                Affiliations
                [ ]School of Healthcare Sciences, Bangor University, Bangor, UK
                [ ]School of Health Sciences, University of Stirling, Stirling, UK
                [ ]Alliance Manchester Business School, University of Manchester, Manchester, UK
                [ ]School of Nursing, University of Adelaide, Adelaide, Australia
                [ ]Division of Nursing, School of Health Sciences, Queen Margaret University, Musselburgh, UK
                [ ]Department of Health Sciences, University of Leicester, Leicester, UK
                [ ]Said Business School, University of Oxford, Oxford, UK
                [ ]Epidemiology and Community Medicine, University of Ottawa, Ottawa, Canada
                [ ]Royal College of Nursing Research Institute, University of Warwick, Warwick, UK
                [ ]School of Healthcare, Faculty of Medicine and Health, University of Leeds, Leeds, UK
                [ ]ScHARR, University of Sheffield, Sheffield, UK
                Article
                380
                10.1186/s13012-016-0380-z
                4748518
                26860631
                efb0b646-69b4-4194-acc4-3e3407180c8f
                © Rycroft-Malone et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

                History
                : 14 August 2015
                : 4 February 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002001, Health Services and Delivery Research (HS&DR) Programme (GB);
                Award ID: 09-1809-1072
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Medicine
                implementation,collaboration,evidence,co-production,knowledge,realist
                Medicine
                implementation, collaboration, evidence, co-production, knowledge, realist

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