Adam, RosalindBond, Christine M.Burton, Christopher D.de Bruin, MarijnMurchie, Peter2021-03-302021-03-302021-02Adam, 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/s00520-020-05510-00941-4355ORCID: /0000-0003-3082-6578/work/76975954ORCID: /0000-0001-9968-5991/work/83704244PubMedCentral: PMC7767903https://hdl.handle.net/2164/16154Open 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.111371994engSDG 3 - Good Health and Well-beingBehaviour changeCancerHealth informaticsIntervention mappingPainPalliative careR MedicineRC0254 Neoplasms. Tumors. Oncology (including Cancer)OncologyChief Scientist Office (CSO)CAF/14/02Supplementary DataRRC0254Can-Pain - a digital intervention to optimise cancer pain control in the community : development and feasibility testingJournal article10.1007/s00520-020-05510-0http://www.scopus.com/inward/record.url?scp=85085625852&partnerID=8YFLogxK292