Implementing a digital patient feedback system: an analysis using normalisation process theory

Ong, B.N., Hodgson, D. orcid.org/0000-0002-9292-5945, Small, N. et al. (2 more authors) (2020) Implementing a digital patient feedback system: an analysis using normalisation process theory. BMC Health Services Research, 20 (1). 387. ISSN 1472-6963

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Copyright, Publisher and Additional Information: © The Author(s). 2020. 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.
Keywords: Digital methods; Patient feedback; Primary care; Acute care; Mental health; Normalisation process theory
Dates:
  • Accepted: 16 April 2020
  • Published (online): 7 May 2020
  • Published: 7 May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield)
Funding Information:
FunderGrant number
NIHR Health Services and Delivery Research (HS&DR) programme14/156/16
Depositing User: Symplectic Sheffield
Date Deposited: 15 May 2020 16:06
Last Modified: 15 May 2020 16:06
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12913-020-05234-1
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