Status:
NOT_YET_RECRUITING
Predicting Nurse Staffing Requirements From Routinely Collected Data
Lead Sponsor:
University of Southampton
Collaborating Sponsors:
Imperial College London
Imperial College Healthcare NHS Trust
Conditions:
Nursing Workload
Eligibility:
All Genders
Brief 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...
Detailed Description
Background: Having enough nurses on hospital wards is vital for patient safety but planning for varying numbers and needs of patients is hard. Almost all acute NHS Trusts in England use the NICE-endor...
Eligibility Criteria
Inclusion
- National survey Inclusion Criteria:
- safe staffing lead/nurse with responsibility for safe staffing or CNIO/nurse with responsibility for IT/electronic records
- Workshops Inclusion Criteria:
- nursing manager with safe staffing remit/IT remit. OR
- clinical nurse with experience of completing Safer Nursing Care Tool ratings. OR
- NHS IT manager with familiarity of hospital Trust's systems for storing patient data. OR
- representative of company who provide rostering or patient information system services to hospitals.
Exclusion
Key Trial Info
Start Date :
May 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
May 30 2026
Estimated Enrollment :
80 Patients enrolled
Trial Details
Trial ID
NCT06923943
Start Date
May 1 2025
End Date
May 30 2026
Last Update
April 11 2025
Active Locations (0)
Enter a location and click search to find clinical trials sorted by distance.
No Results Found
We couldn’t find results for the location/zipcode entered or within the selected range. Please check your input or adjust your search.