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dc.contributor.authorBockhold, S
dc.contributor.authorFoley, SJ
dc.contributor.authorRainford, LA
dc.contributor.authorCorridori, R
dc.contributor.authorEberstein, A
dc.contributor.authorHoeschen, C
dc.contributor.authorKonijnenberg, MW
dc.contributor.authorMolyneux-Hodgson, S
dc.contributor.authorPaulo, G
dc.contributor.authorSantos, J
dc.contributor.authorMcNulty, JP
dc.date.accessioned2022-03-15T09:38:29Z
dc.date.issued2022-03-18
dc.date.updated2022-03-14T21:13:18Z
dc.description.abstractBackground: Medical applications of ionising radiation and associated radiation protection research often encounter long delays and inconsistent implementation when translated into clinical practice. A coordinated effort is needed to analyse the research needs for innovation transfer in radiation-based high-quality healthcare across Europe which can inform the development of an innovation transfer framework tailored for equitable implementation of radiation research at scale. Methods: Between March and September 2021 a Delphi methodology was employed to gain consensus on key translational challenges from a range of professional stakeholders. A total of three Delphi rounds were conducted using a series of electronic surveys comprised of open-ended and closed-type questions. The surveys were disseminated via the EURAMED Rocc-n-Roll consortium network and prominent medical societies in the field. Approximately 350 professionals were invited to participate. Participants’ level of agreement with each generated statement was captured using a 6-point Likert scale. Consensus was defined as median ≥4 with ≥60% of responses in the upper tertile of the scale. Additionally, the stability of responses across rounds was assessed. Results: In the first Delphi round a multidisciplinary panel of 20 generated 127 unique statements. The second and third Delphi rounds recruited a broader sample of 130 individuals to rate the extent to which they agreed with each statement as a key translational challenge. A total of 60 consensus statements resulted from the iterative Delphi process of which 55 demonstrated good stability. Ten statements were identified as high priority challenges with ≥80% of statement ratings either ‘Agree’ or ‘Strongly Agree’. Conclusion: A lack of interoperability between systems, insufficient resources, unsatisfactory education and training, and the need for greater public awareness surrounding the benefits, risks, and applications of ionising radiation were identified as principal translational challenges. These findings will help to inform a tailored innovation transfer framework for medical radiation research.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.identifier.citationVol. 20, article 137en_GB
dc.identifier.doi10.1186/s12967-022-03344-4
dc.identifier.grantnumber899995en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129055
dc.identifierORCID: 0000-0003-4504-0252 (Molyneux-Hodgson, Susan)
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.rights© The Author(s) 2022. Open Access. This 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.en_GB
dc.subjectTranslational Medical Researchen_GB
dc.subjectDelphi Studyen_GB
dc.subjectIonising Radiationen_GB
dc.subjectRadiation Protectionen_GB
dc.titleExploring the translational challenge for medical applications of ionising radiation and corresponding radiation protection researchen_GB
dc.typeArticleen_GB
dc.date.available2022-03-15T09:38:29Z
dc.identifier.issn1479-5876
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this recorden_GB
dc.descriptionAvailability of Data and Materials: The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.en_GB
dc.identifier.journalJournal of Translational Medicineen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-03-06
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-03-06
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-03-14T21:13:21Z
refterms.versionFCDAM
refterms.dateFOA2022-03-22T15:27:44Z
refterms.panelCen_GB


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© The Author(s) 2022. Open Access. This 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.
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access. This 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.