Planning for Frailty: Optimal Health and Social Care Workforce Organisation Using Demand-led Simulation Modelling

NCT ID: NCT05963360

Last Updated: 2025-05-04

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

ACTIVE_NOT_RECRUITING

Total Enrollment

50000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-11-01

Study Completion Date

2025-10-31

Brief Summary

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What is the present, and expected, size and composition of the health and social care workforce required to provide care for the frail older population? As the population ages, robust workforce planning to meet future demands for health and social care by older people is needed. A lack of evidence in this areas has led to a mis-match between the health and social care demand from the ageing population and the current workforce capacity. The proposed study will use demand-led simulation modelling of the workforce required to address the specific challenge of providing health and social care for the growing numbers of older people living with frailty.

Detailed Description

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Research Question: What is the present, and expected, size and composition of the health and social care workforce required to provide care for the frail older population? Background: As the population ages, robust workforce planning to meet future demands for health and social care by older people is needed. A lack of evidence in this area has led to a mis-match between the health and social care demand from the ageing population and the current workforce capacity. The proposed study will use demand-led simulation modelling of the workforce required to address the specific challenge of providing health and social care for the growing numbers of older people living with frailty.

Aims \& Objectives: The aim of the study is to use simulation modelling to explore long-term trends in frailty-related health and social care use in the ageing population and its implications for future workforce size and competencies to support high quality care. The primary objective of this study is the creation of a simulation model that will inform service and workforce planning to meet health and social care needs associated with frailty.

Methods: The study will use a System Dynamics design to develop and test the simulation model.

Work packages comprise a scoping review, gathering of public and professional perspectives on service provision via a survey and stakeholder engagement activities, and analysis of linked health and social care data, all of which inform the simulation modelling work package and development of a workforce planning toolkit.

Timelines for delivery: The scoping review will be completed in year 1. Routine health and social care data specification and extraction will occur in year 1, as will service mapping and classification and survey preparation. Survey data collection and analysis will occur in year 2. Simulation modelling will commence in year 2, with validation, sensitivity analyses and scenario modelling in year 3.

Development of workforce guidelines and toolkit will occur in year 3 Stakeholder engagement, including patient public involvement, will run throughout the study, reviewing study results and informing development of the other work packages.

Anticipated impact \& dissemination: This study will provide new, direct evidence about the impact of frailty on health and social care workforce requirements within the ageing population The improved understanding of workforce requirements offered by this study will inform workforce planning for frailty services across health and social care, ensuring future benefit for patients through provision of timely and appropriate care and a workforce planning toolkit to support local decision-making.

Conditions

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Frailty in Aging Older People

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Frailty in Older people

Older people, 50 and above.

No interventions assigned to this group

Eligibility Criteria

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Exclusion Criteria

\*Age below 50yrs
Minimum Eligible Age

50 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Bournemouth University

OTHER

Sponsor Role collaborator

Tameside Hospital NHS Foundation Trust

OTHER

Sponsor Role collaborator

Southern Health NHS Foundation Trust

OTHER

Sponsor Role collaborator

University of Southampton

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Bronagh M Walsh/Professor, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Southampton

Locations

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University of Southampton

Southampton, , United Kingdom

Site Status

Countries

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United Kingdom

Related Links

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Other Identifiers

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71937

Identifier Type: -

Identifier Source: org_study_id

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