Henley, J. orcid.org/0000-0002-2709-900X, Brookes-Howell, L. orcid.org/0000-0002-8263-7130, Euden, J. orcid.org/0000-0002-2844-6878 et al. (15 more authors) (2023) Developing a model for decision-making around antibiotic prescribing for patients with COVID-19 pneumonia in acute NHS hospitals during the first wave of the COVID-19 pandemic: qualitative results from the Procalcitonin Evaluation of Antibiotic use in COVID-19 Hospitalised patients (PEACH Study). BMJ Open, 13 (12). e077117. ISSN 2044-6055
Abstract
Objective To explore and model factors affecting antibiotic prescribing decision-making early in the pandemic.
Design Semistructured qualitative interview study.
Setting National Health Service (NHS) trusts/health boards in England and Wales.
Participants Clinicians from NHS trusts/health boards in England and Wales.
Method Individual semistructured interviews were conducted with clinicians in six NHS trusts/health boards in England and Wales as part of the Procalcitonin Evaluation of Antibiotic use in COVID-19 Hospitalised patients study, a wider study that included statistical analysis of procalcitonin (PCT) use in hospitals during the first wave of the pandemic. Thematic analysis was used to identify key factors influencing antibiotic prescribing decisions for patients with COVID-19 pneumonia during the first wave of the pandemic (March to May 2020), including how much influence PCT test results had on these decisions.
Results During the first wave of the pandemic, recommendations to prescribe antibiotics for patients with COVID-19 pneumonia were based on concerns about secondary bacterial infections. However, as clinicians gained more experience with COVID-19, they reported increasing confidence in their ability to distinguish between symptoms and signs caused by SARS-CoV-2 viral infection alone, and secondary bacterial infections. Antibiotic prescribing decisions were influenced by factors such as clinician experience, confidence, senior support, situational factors and organisational influences. A decision-making model was developed.
Conclusion This study provides insight into the decision-making process around antibiotic prescribing for patients with COVID-19 pneumonia during the first wave of the pandemic. The importance of clinician experience and of senior review of decisions as factors in optimising antibiotic stewardship is highlighted. In addition, situational and organisational factors were identified that could be optimised. The model presented in the study can be used as a tool to aid understanding of the complexity of the decision-making process around antibiotic prescribing and planning antimicrobial stewardship support in the context of a pandemic.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
Keywords: | PEACH study group (Procalcitonin Evaluation of Antibiotic use in COVID-19 Hospitalised patients); PEACH consortium (Procalcitonin Evaluation of Antibiotic use in COVID-19 Hospitalised patients); Humans; Bacterial Infections; Anti-Bacterial Agents; Hospitals; State Medicine; Pandemics; Procalcitonin; COVID-19; SARS-CoV-2 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Gastroenterology and Surgery The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Jan 2024 11:29 |
Last Modified: | 09 Jan 2024 11:29 |
Published Version: | http://dx.doi.org/10.1136/bmjopen-2023-077117 |
Status: | Published |
Publisher: | BMJ |
Identification Number: | 10.1136/bmjopen-2023-077117 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:207385 |