Di-BLOOD-UK

Diagnosis of Bloodstream Infections across the UK: Are clinical laboratories in the UK ready to implement rapid testing in the blood culture pathway?

What is this survey for?

This survey aims to investigate the current state of blood culture diagnostic practices in UK microbiology laboratories. The objective is to identify areas for potential improvement in diagnostic protocols.

Why is it needed?

In the past decade, clinical microbiology laboratories have experienced significant advancements in automation and the adoption of rapid diagnostic technologies, such as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), as well as various molecular and phenotypic antimicrobial susceptibility testing. These new diagnostics have shown positive impacts on antimicrobial and patient outcomes. However, there remains considerable variation in the implementation of new technologies for the diagnosis of BSI across different clinical microbiology laboratories in the UK. By identifying areas for improvement and exploring the integration of rapid diagnostic technologies, we aim to facilitate timely and accurate diagnosis of bloodstream infections, ultimately improving patient outcomes.

Who can participate?

We encourage any microbiology and/or infectious diseases trainee to take part in this survey under the supervision and guidance of a Consultant Microbiologist.

How can I participate?

You will receive an invitation to fill out an online questionnaire-based survey via Survey Monkey®, designed to gather information related to practices of microbiological bloodstream infection diagnostics.

We would love to hear from you

Are you enthusiastic about improving the blood culture pathway to enhance patient care? Are you already working towards improving bloodstream infection diagnostics and its clinical impact? We would love to create a network to join forces. Please express your interest by emailing: vanesa.antonvazquez@stgeorges.nhs.uk and/or tim.planche@nhs.net

To find out more

The study featured alongside a segment on NITCAR on the ID:IOTS podcast (episode 66 – “FIS highlights 2”). The episode can be heard here: https://tinyurl.com/4auz2ubu or on other popular podcast platforms (scroll to 25:38 to hear the NITCAR segment).