Can-Pain-a digital intervention to optimise cancer pain control in the community : development and feasibility testing

Adam, R., Bond, C.M., Burton, C.D. orcid.org/0000-0003-0233-2431 et al. (2 more authors) (2020) Can-Pain-a digital intervention to optimise cancer pain control in the community : development and feasibility testing. Supportive Care in Cancer. ISSN 0941-4355

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. 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/.
Keywords: Cancer; Pain; Palliative care; Health informatics; Intervention mapping; Behaviour change
Dates:
  • Accepted: 5 May 2020
  • Published: 28 May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 16 Jun 2020 12:22
Last Modified: 16 Jun 2020 12:22
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1007/s00520-020-05510-0

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