How transdisciplinary research teams learn to do knowledge translation (KT), and how KT in turn impacts transdisciplinary research: a realist evaluation and longitudinal case study

dc.contributor.authorArchibald, Mandy
dc.contributor.authorLawless, Michael T.
dc.contributor.authorde Plaza, Maria A.P.
dc.contributor.authorKitson, Alison L.
dc.date.accessioned2023-05-01T16:01:48Z
dc.date.available2023-05-01T16:01:48Z
dc.date.issued2023-03-21
dc.date.updated2023-04-04T17:42:15Z
dc.description.abstractAbstract Background Transdisciplinary research and knowledge translation are increasingly regarded as key concepts underpinning applied research across the health and social sciences, due to their presumed potential in addressing complex, “wicked” problems and improving the use of research in practice and policy, respectively. Despite sharing an impact mandate, the relationship between transdisciplinary research collaboration and knowledge translation remains unclear. In response, we examined the relationship between transdisciplinary collaboration and knowledge translation to generate these understandings with a view towards maximizing the impact of collaborative efforts. Methods We undertook a realist evaluation and longitudinal case study of a 5-year National Health and Medical Research Council-funded Centre of Research Excellence in Transdisciplinary Frailty Research. Data were collected between February 2017 and March 2020 over three rounds of theory development, refinement and testing using interviews, observation, document review and visual elicitation as data sources. The Human Research Ethics Committee of the University of Adelaide approved this study. Results Iterative analysis of narrative interviews and visual data led to the development of three overarching programme theories explicating the reciprocal relationship between KT understandings and transdisciplinary team process. These programme theories revolve around the concept of a network, which we define in alignment with extant theoretical literature on network mechanisms and complex networks as graphically representable networks of agents/people (nodes) joined by social relationships (links). Our findings demonstrate that under the right contextual conditions, transdisciplinary team members respond through an improved ability to (1) navigate the network, (2) negotiate the network and (3) mobilize the network. Conclusions This research demonstrates the reciprocity and mutually supportive relationship between transdisciplinary research and knowledge translation. Our findings suggest that embedding a collaborative knowledge translation framework and providing resources such as facilitation and distributed leadership within a transdisciplinary team can improve collaboration and support transdisciplinary research objectives.en_US
dc.identifier.citationHealth Research Policy and Systems. 2023 Mar 21;21(1):20
dc.identifier.citationHealth Research Policy and Systems. 2023 Mar 21;21(1):20
dc.identifier.urihttps://doi.org/10.1186/s12961-023-00967-x
dc.identifier.urihttp://hdl.handle.net/1993/37324
dc.language.isoengen_US
dc.language.rfc3066en
dc.publisherBioMed Central (BMC)en_US
dc.rightsopen accessen_US
dc.rights.holderThe Author(s)
dc.titleHow transdisciplinary research teams learn to do knowledge translation (KT), and how KT in turn impacts transdisciplinary research: a realist evaluation and longitudinal case studyen_US
dc.typejournal articleen_US
local.author.affiliationRady Faculty of Health Sciences::College of Nursingen_US
oaire.citation.issue1en_US
oaire.citation.startPage20en_US
oaire.citation.titleHealth Research Policy and Systemsen_US
oaire.citation.volume21en_US
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