Workforce Hospital Outcomes (in English Acute Hospitals)

NCT ID: NCT04374812

Last Updated: 2023-05-31

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1706388 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-09-21

Study Completion Date

2022-06-30

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Health Workforce

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Interventions

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Exposure to registered nurses

Change in outcomes associated with a one hour per patient day increase in exposure to registered nurses

Intervention Type OTHER

Exposure to nursing assistants

Change in outcomes associated with a one hour per patient day increase in exposure to nursing assistants

Intervention Type OTHER

Other Intervention Names

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RN staffing level HCA or NA staffing levels

Eligibility Criteria

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Inclusion Criteria

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.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Southampton

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Peter Griffiths

Role: PRINCIPAL_INVESTIGATOR

The University of Southampton

Locations

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Hospital Trust A

London, , United Kingdom

Site Status

Countries

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United Kingdom

References

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Griffiths P, Saville C, Ball J, Culliford D, Jones J, Lambert F, Meredith P, Rubbo B, Turner L, Dall'Ora C. Consequences, costs and cost-effectiveness of workforce configurations in English acute hospitals. Health Soc Care Deliv Res. 2025 Jul;13(25):1-107. doi: 10.3310/ZBAR9152.

Reference Type DERIVED
PMID: 40622683 (View on PubMed)

Meredith P, Turner L, Saville C, Griffiths P. Nurse understaffing associated with adverse outcomes for surgical admissions. Br J Surg. 2024 Aug 30;111(9):znae215. doi: 10.1093/bjs/znae215.

Reference Type DERIVED
PMID: 39313222 (View on PubMed)

Rubbo B, Saville C, Dall'Ora C, Turner L, Jones J, Ball J, Culliford D, Griffiths P. Staffing levels and hospital mortality in England: a national panel study using routinely collected data. BMJ Open. 2023 May 17;13(5):e066702. doi: 10.1136/bmjopen-2022-066702.

Reference Type DERIVED
PMID: 37197808 (View on PubMed)

Provided Documents

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Document Type: Study Protocol

View Document

Other Identifiers

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52957.A1

Identifier Type: OTHER

Identifier Source: secondary_id

NIHR128056

Identifier Type: -

Identifier Source: org_study_id

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