The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Is it time to drop the ‘knowledge translation’ metaphor? A critical literature review
Open accessAbstract
The literature on ‘knowledge translation’ presents challenges for the reviewer because different terms have been used to describe the generation, sharing and application of knowledge and different research approaches embrace different philosophical positions on what knowledge is. We present a narrative review of this literature which deliberately sought to highlight rather than resolve tensions between these different framings. Our findings suggest that while ‘translation’ is a widely used metaphor in medicine, it constrains how we conceptualise and study the link between knowledge and practice. The ‘translation’ metaphor has, arguably, led to particular difficulties in the fields of ‘evidence-based management’ and ‘evidence-based policymaking’ – where it seems that knowledge obstinately refuses to be driven unproblematically into practice. Many non-medical disciplines such as philosophy, sociology and organization science conceptualise knowledge very differently, as being (for example) ‘created’, ‘constructed’, ‘embodied’, ‘performed’ and ‘collectively negotiated’ – and also as being value-laden and tending to serve the vested interests of dominant élites. We propose that applying this wider range of metaphors and models would allow us to research the link between knowledge and practice in more creative and critical ways. We conclude that research should move beyond a narrow focus on the ‘know–do gap’ to cover a richer agenda, including: (a) the situation-specific practical wisdom (phronesis) that underpins clinical judgement; (b) the tacit knowledge that is built and shared among practitioners (‘mindlines’); (c) the complex links between power and knowledge; and (d) approaches to facilitating macro-level knowledge partnerships between researchers, practitioners, policymakers and commercial interests.
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Cites
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Cited by
Elwyn, G., Scholl, I., Tietbohl, C., Mann, M., Edwards, A. G., Clay, C., Légaré, F., Weijden, T. V. D., Lewis, C. L., Wexler, R. M., et al. (2013) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-13-s2-s14 · Cited by 502
Artificial intelligence and the implementation challenge
Shaw, J., Rudzicz, F., Jamieson, T., & Goldfarb, A. (2019) · Journal of Medical Internet Research · doi:10.2196/13659 · Cited by 389
Jagosh, J. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044451 · Cited by 346
Engagement of Sectors Other than Health in Integrated Health Governance, Policy, and Action
de Leeuw, E. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044309 · Cited by 293
10 years of mindlines: a systematic review and commentary
Wieringa, S., & Greenhalgh, T. (2015) · Implementation Science · doi:10.1186/s13012-015-0229-x · Cited by 150
Self-citation
Metadata
- Authors
- Greenhalgh, T., & Wieringa, S.
- Venue
- Journal of the Royal Society of Medicine
- Publisher
- SAGE Publications
- Published
- 2011-12
- Volume
- 104
- Issue
- 12
- Pages
- 501-509
- ISSN
- 0141-0768 (ISSN-L)
- 1758-1095
- OpenAlex
- W2154961895
- Cited by
- 543
- References
- 44
- FWCI
- 46.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.