Prospectively predicting Pseudomonas aeruginosa infection/s using routine data from the UK cystic fibrosis register

Totton, N., Bradburn, M. orcid.org/0000-0002-3783-9761, Hoo, Z.H. et al. (14 more authors) (2021) Prospectively predicting Pseudomonas aeruginosa infection/s using routine data from the UK cystic fibrosis register. Health Science Reports, 4 (4). e381. ISSN 2398-8835

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Health Science Reports published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: adherence; cystic fibrosis; outcome; process; quality improvement
Dates:
  • Accepted: 22 July 2021
  • Published (online): 1 October 2021
  • Published: December 2021
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) > ScHARR - Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 08 Oct 2021 11:00
Last Modified: 08 Oct 2021 11:00
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: https://doi.org/10.1002/hsr2.381

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