Clinical Trial

Predicting Nurse Staffing Requirements From Routinely Collected Data

Study acronym: PREDICT-NURSE
Active, Not Recruiting
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Record status
This record was last updated February 27, 2026 (before its estimated July 31, 2026 completion). Its status may not reflect the trial's current state.
Summary
The goal of this observational study is to find out if the researchers can predict the number of nurses needed on hospital wards (units) from patient hospital data. The main question it aims to answer is: Is it possible to predict nurse staffing requirements from routinely recorded data in hospital systems? Researchers will ask nurses about their views of nurse staffing tools and what support they need for staffing decisions. They will analyse data from hospital IT systems.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-04-04.
Status change: Not Yet Recruiting → Active, Not Recruiting 2026-02-24
Trial Details
NCT Number NCT06923943
Lead Sponsor University of Southampton
Collaborators: Imperial College London, Imperial College Healthcare NHS Trust, Portsmouth Hospitals NHS Trust, NHS England, Guy's and St Thomas' NHS Foundation Trust
Conditions Nursing Workload
Enrollment 80 participants
Start Date 2025-11-01
Primary Completion 2026-07-31 (estimated)
Study Completion 2026-07-31 (estimated)
Updated on ClinicalTrials.gov 2026-02-27