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Predicting Nurse Staffing Requirements From Routinely Collected Data

NCT06923943 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 80

Last updated 2026-02-27

No results posted yet for this study

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.

Conditions

  • Nursing Workload

Sponsors & Collaborators

  • Imperial College London

    collaborator OTHER

  • Imperial College Healthcare NHS Trust

    collaborator OTHER

  • Portsmouth Hospitals NHS Trust

    collaborator OTHER_GOV

  • NHS England

    collaborator OTHER_GOV

  • Guy's and St Thomas' NHS Foundation Trust

    collaborator OTHER

  • University of Southampton

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-11-01
Primary Completion
2026-07-31
Completion
2026-07-31

Countries

  • United Kingdom

Study Locations

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Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06923943 on ClinicalTrials.gov