Background: A urinary tract infection (UTI) is a common infection that affects the bladder (cystitis), urethra (urethritis) or kidneys (pyelonephritis). They are more prevalent in women, and the incidence in women over 65 years old is double the rate compared with the overall female population. Catheterisation is known to affect the likelihood of infection. The National Institute for Clinical Excellence suggests that UTIs in the elderly are often over-diagnosed and over-treated. This has led to NHS England requiring a reduction in the number of Trimethoprim prescriptions prescribed to patients over 70 years old.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million and includes a diverse ethnic and socio-economic mix.

EHR: UHB is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary and secondary care record (Your Care Connected) and a patient portal “My Health”.

Scope: All hospitalised patients from 2000 onwards, curated to focus on Urinary tract infection. Longitudinal and individually linked, so that the preceding and subsequent health journey can be mapped and healthcare utilisation prior to and after admission understood. The dataset includes highly granular patient demographics and co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards and triage). Along with presenting complaints, outpatients admissions, microbiology results, referrals, procedures, therapies, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations and others), all blood results (urea, albumin, platelets, white blood cells and others). This dataset includes all prescribed and administered treatments including antibiotics, bacterial resistance patterns from microbiology assessments and outcomes. Linked images are also available (radiographs, CT scans, MRI).

Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data.

Available supplementary support: Analytics, Model build, validation and refinement; A.I.; Data partner support for ETL (extract, transform and load) process, Clinical expertise, Patient and end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.