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dc.contributor.authorAdam, Rosalind
dc.contributor.authorBond, Christine M.
dc.contributor.authorBurton, Christopher D.
dc.contributor.authorde Bruin, Marijn
dc.contributor.authorMurchie, Peter
dc.date.accessioned2021-03-30T11:24:01Z
dc.date.available2021-03-30T11:24:01Z
dc.date.issued2021-02
dc.identifier.citationAdam , R , Bond , C M , Burton , C D , de Bruin , M & Murchie , P 2021 , ' Can-Pain - a digital intervention to optimise cancer pain control in the community : development and feasibility testing ' , Supportive Care in Cancer , vol. 29 , no. 2 , pp. 759-769 . https://doi.org/10.1007/s00520-020-05510-0en
dc.identifier.issn0941-4355
dc.identifier.otherPURE: 162599707
dc.identifier.otherPURE UUID: cd6ed680-f78e-4fa9-af12-d9dd74608e97
dc.identifier.otherScopus: 85085625852
dc.identifier.otherPubMed: 32468132
dc.identifier.otherORCID: /0000-0003-3082-6578/work/76975954
dc.identifier.otherWOS: 000559595300002
dc.identifier.otherORCID: /0000-0001-9968-5991/work/83704244
dc.identifier.otherPubMedCentral: PMC7767903
dc.identifier.urihttps://hdl.handle.net/2164/16154
dc.descriptionOpen Access Via the Springer Compact Agreement Acknowledgements The authors would like to acknowledge the patients, their caregivers and clinicians who volunteered their time to contribute to intervention development and testing, and Stephanie Inglis, a computer scientist, who completed software programming for the intervention. Funding This work was supported by the Chief Scientist Office (CSO), Scottish Government (grant number CAF/14/02), and sponsored by the University of Aberdeen. Neither the funders nor the sponsors had any role in the study design, data collection, data analysis, decision to publish or preparation of the manuscript.en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofSupportive Care in Canceren
dc.rightsOpen 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/.en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectBehaviour changeen
dc.subjectCanceren
dc.subjectHealth informaticsen
dc.subjectIntervention mappingen
dc.subjectPainen
dc.subjectPalliative careen
dc.subjectR Medicineen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectOncologyen
dc.subjectChief Scientist Office (CSO)en
dc.subjectCAF/14/02en
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.subject.lccRC0254en
dc.titleCan-Pain - a digital intervention to optimise cancer pain control in the community : development and feasibility testingen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Clinical Medicineen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Data Safe Havenen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1007/s00520-020-05510-0
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85085625852&partnerID=8YFLogxKen


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