Unknown

Dataset Information

0

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).


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.

Trial registration number

ISRCTN66682918.

SUBMITTER: Henley J 

PROVIDER: S-EPMC10748988 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

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).

Henley Josie J   Brookes-Howell Lucy L   Euden Joanne J   Pallmann Philip P   Llewelyn Martin M   Howard Philip P   Powell Neil N   Dark Paul P   Szakmany Tamas T   Hellyer Thomas P TP   Albur Mahableshwar M   Hamilton Ryan R   Prestwich Graham G   Ogden Margaret M   Maboshe Wakunyambo W   Sandoe Jonathan J   Thomas-Jones Emma E   Carrol Enitan E  

BMJ open 20231219 12


<h4>Objective</h4>To explore and model factors affecting antibiotic prescribing decision-making early in the pandemic.<h4>Design</h4>Semistructured qualitative interview study.<h4>Setting</h4>National Health Service (NHS) trusts/health boards in England and Wales.<h4>Participants</h4>Clinicians from NHS trusts/health boards in England and Wales.<h4>Method</h4>Individual semistructured interviews were conducted with clinicians in six NHS trusts/health boards in England and Wales as part of the Pr  ...[more]

Similar Datasets

| S-EPMC9786133 | biostudies-literature
2021-12-09 | GSE189610 | GEO
| S-EPMC9850552 | biostudies-literature
| S-EPMC9598521 | biostudies-literature
| S-EPMC8916484 | biostudies-literature
| S-EPMC10132833 | biostudies-literature
| S-EPMC7286278 | biostudies-literature
| S-EPMC7785281 | biostudies-literature
| S-EPMC9825803 | biostudies-literature
| S-EPMC8569441 | biostudies-literature