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Impact of COVID-19 on Antibiotic Prescribing in North West London

Safe People

Organisation name

Imperial College London

Organisation sector

Academic Institute

Applicant name(s)

Paul Aylin

Funders/ Sponsors

Alison Holmes

DEA accredited researcher?

Unknown

Sub-licence arrangements (if any)?

No

Safe Projects

Project ID

NIBDAPC_2022_0017

Lay summary

Antibiotics are medications used to treat bacterial infections, which are very common in England. If antibiotics were not provided when needed, infection might get worse and sometimes be vital. However, if using antibiotics when unnecessary, the pathogens will become resistant to the medication and make treating future infections impossible. Therefore we must carefully monitoring how antibiotics are used. The COVID-19 pandemic has affected how infections were managed and treated with antibiotics, for example, some hospitalised COVID-19 patients were treated with antibiotics despite such medication cannot cure COVID-19 which is a viral infection. On the other hand, increased work pressure on hospital laboratories might have delayed the confirmation of bacterial infections that required antibiotic treatment. In this project, we have been supported by the individual level de-identifided patient data collected from three hospitals from ICHT, to continue monitoring whether antibiotic prescribing was appropriate. We also aimed to assess the impact of multiple complex factors, such as different COVID-19 variant, hospital admission patient mix, changes in guidelines, might have influenced other infectious diseases other than COVID-19.

Public benefit statement

Tackling AMRis one of the nation’s highest public health priorities. Our work is in line with UK’s 20 year vision of AMR, and England’s national strategy for infectious diseases. Benefited from the unique setting of our research group (NIHR HPRU in HCAI and AMR), which is a close collaboration between Imperial College, UKHSA, and local NHS trusts, research outputs can be disseminated and translated to policy and patient management guidelines rapidly to enhance the quality of care. In addition, the highly granular patient level data in iCARE environment provides knowledge complementary to the data produced by UKHSA at national level (covered larger population but less detailed). This work will help identify any sub-optimal prescribing practices in secondary care, any newly emerged drug resistant infections, and any unintended conseuqnces associated with national prescribing guidelines and prescribing interventions.

Request category type

Public Health Research

Other approval committees

Project start date

01/12/2022

Latest approval date

21/09/2022

Safe Data

Dataset(s) name

ICHT COVID-19 Research Dataset

Data sensitivity level

De-Personalised

Common Law Duty of Confidentiality

Not applicable

National data opt-out applied?

Not applicable

Request frequency

One-off

Release/Access date

01/12/2022

Safe Setting

Access type

TRE

Safe Outputs