Workforce Hospital Outcomes (in English Acute Hospitals) (WHOs)

May 30, 2023 updated by: University of Southampton

Consequences, Costs and Cost-effectiveness of Different Workforce Configurations in English Acute Hospitals: a Longitudinal Retrospective Study Using Routinely Collected Data

Background: The NHS is facing significant challenges in recruiting and retaining staff, particularly registered nurses (RNs). Recruiting unregistered staff is often adopted as a solution to the RN shortage; however recent research found a negative effect of low RN staffing levels on mortality with no evidence that high levels of assistant staff could mitigate the increased risk. Economic modelling suggested that increases in skill mix were potentially cost-effective, but these findings derive from a single NHS hospital Trust with limited cost and outcome data.

Aims and objectives: This project aims to estimate the consequences, costs and cost effectiveness of variation in the size and composition of the staff on hospital wards in England. In order to provide estimates that are more likely to apply across the NHS, this study will include at least four hospitals and consider a wider range of outcomes and sources of costs, including death within 30 days of admission, adverse events such as infections, length of hospital stay, readmissions and rates of staff sickness.

Methods: This retrospective longitudinal observational study will use routinely collected data on ward and shift level nurse staffing, and patient outcomes. Data will be derived from the E-Roster systems, used by hospitals to record all planned and worked shifts. The investigators will consider all rostered direct care staff. These data will be linked to patient data derived from the hospital patient administration system (PAS); and other clinical systems and databases of adverse events (e.g. datix). Relationships between RN and assistant staffing levels and outcomes will be explored using survival models incorporating mixed effects. The investigators will use the results of these analyses to model the costs and consequences of different staffing configurations and to estimate the incremental cost-effectiveness associated with change. Our study will provide evidence to inform staffing levels and skill mix planning in the NHS, highlighting potential cost savings, and offering improved patient safety and reduced adverse staff outcomes.

Study Overview

Detailed Description

Note that for this study, "Study start" means the date the first hospital Trust was recruited. "Primary completion" is the date by which the investigators anticipate data analysis for the primary outcomes will be complete. "Study completion" is the data by which investigators anticipate data analysis for secondary outcomes will be complete.

The investigators cannot name the hospital Trusts participating because the investigators do not have their consent and this would breach GDPR.

Study Type

Observational

Enrollment (Actual)

1706388

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients staying on inpatient wards in acute hospital Trusts in England

Description

Eligibility criteria for hospitals:

  • acute hospital Trust in England
  • willingness and ability to provide anonymised patient data and the ability to provide electronic roster data for a minimum period of 1 year prior to the commencement of the study.

Eligibility criteria for patients:

  • stayed on at least one acute inpatient ward / admissions unit (including High Dependency Unit and Intensive Care Unit) during the study period.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Patient deaths
Time Frame: 30 days
Adjusted hazard ratio for death from all causes within 30 days of hospital admission
30 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Peter Griffiths, The University of Southampton

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 21, 2020

Primary Completion (Actual)

April 30, 2022

Study Completion (Actual)

June 30, 2022

Study Registration Dates

First Submitted

April 20, 2020

First Submitted That Met QC Criteria

April 30, 2020

First Posted (Actual)

May 5, 2020

Study Record Updates

Last Update Posted (Actual)

May 31, 2023

Last Update Submitted That Met QC Criteria

May 30, 2023

Last Verified

May 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • NIHR128056
  • 52957.A1 (Other Identifier: Southampton University ERGO II)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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