Can Routinely Collected, Patient-Reported Wellness Predict National Early Warning Scores? A Multilevel Modeling Approach

Albutt, A, O'Hara, J orcid.org/0000-0001-5551-9975, Conner, M orcid.org/0000-0002-6229-8143 et al. (1 more author) (2021) Can Routinely Collected, Patient-Reported Wellness Predict National Early Warning Scores? A Multilevel Modeling Approach. Journal of Patient Safety, 17 (8). pp. 548-552. ISSN 1549-8417

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Copyright, Publisher and Additional Information: © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Keywords: clinical deterioration; patient-centered care; multilevel modeling
Dates:
  • Published: December 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds)
Funding Information:
FunderGrant number
NIHR National Inst Health ResearchM24387
Depositing User: Symplectic Publications
Date Deposited: 09 Feb 2022 14:07
Last Modified: 09 Feb 2022 14:07
Status: Published
Publisher: Lippincott, Williams & Wilkins
Identification Number: https://doi.org/10.1097/pts.0000000000000672
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