Use of routine healthcare data in randomised implementation trials: a methodological mixed-methods systematic review

Xie, C.X. orcid.org/0000-0002-0029-9159, Sun, L., Ingram, E. et al. (4 more authors) (2023) Use of routine healthcare data in randomised implementation trials: a methodological mixed-methods systematic review. Implementation Science, 18 (1). 47. ISSN 1748-5908

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Copyright, Publisher and Additional Information: © 2023 The Author(s). 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: Implementation science; Review; Routine healthcare data; Trials; Humans; Delivery of Health Care; Health Facilities; Randomized Controlled Trials as Topic
Dates:
  • Accepted: 5 September 2023
  • Published (online): 2 October 2023
  • Published: December 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Oct 2023 11:45
Last Modified: 09 Oct 2023 11:45
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s13012-023-01300-4
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