Database for Infectious Disease Surveillance Models
Research type
Research Database
IRAS ID
169519
Contact name
Paul Aylin
Contact email
Research summary
Health Protection Research Unit - Healthcare Associated Infections and Antimicrobial Resistance
REC name
London - Chelsea Research Ethics Committee
REC reference
15/LO/0746
Date of REC Opinion
18 May 2015
REC opinion
Favourable Opinion
Data collection arrangements
Data to be stored
We will be using de-identified patient data taken from Imperial College Healthcare NHS Trust data. This will include patient information collected on admission, radiology data and pathology data. Routinely collected, non-identifiable primary and secondary care data of patients within North West London's Healthcare Economy will be utilised as well as de-identified patient information from national databases supplied by organisations like Public Health England. This database will allow us to investigate, in detail, healthcare associated infections and antimicrobial resistance, like Escherichia coli (E. coli) infections of the blood.
We will not use nor have access to any information that will enable us to identify individual patients. All records will be de-identified by Imperial College Healthcare NHS Trust staff.
Data collection arrangements
De-identified patient data will periodically be taken from Imperial College Healthcare NHS Trust and be made available for the National Institute for Health Research (NIHR) Health Protection Research Unit (HRPU) in Healthcare Associated Infections (HCAIs) and Antimicrobial Resistance (AMR) at Imperial College London database. These records will be collected and uploaded onto the HPRU database by the Data Manager.
Research programme
This database will support the NIHR HPRU in HCAIs and AMR. This is a partnership between Imperial College London and Public Health England. The HPRU has been tasked with investigating Healthcare Associated Infections (HCAI) and Antimicrobial Resistance (AMR), for example E. coli infections in the blood. Healthcare Associated Infections are an increasing problem for the NHS, especially those caused by bacteria that are resistant to treatment. This is because they are more difficult and expensive to treat. Reducing the number of HCAIs will not only help to increase quality of life for patients but will also decrease the financial burden of disease for the NHS. Public Health England (PHE) has identified tacking antimicrobial resistance as one of their seven priorities in a five year plan published in 2014. Appropriate interventions are required to reduce HCAIs and AMR. Routinely collected patient data provides a wealth of data on HCAIs and AMR, however this information is yet to be fully utilised. This database will help us to better understand the risk factors leading to these infections and will enable the development of sophisticated models for specific HCAIs and AMR risk factors. These models can be used by policy makers, within health organisations like the NHS and PHE, to make informed decisions on reducing HCAIs and AMR.
Research database title
Health Protection Research Unit - Healthcare Associated Infections and Antimicrobial Resistance
Establishment organisation
Imperial College London
Establishment organisation address
Charing Cross Campus
Reynolds Building
St Dunstan's Road
W6 8RP