Ignite Creation Date:
2024-05-06 @ 7:17 PM
Last Modification Date:
2024-10-26 @ 3:04 PM
Study NCT ID:
NCT05963360
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2023-07-28
First Post:
2023-07-18
Brief Title:
Planning for Frailty Optimal Health and Social Care Workforce Organisation Using Demand-led Simulation Modelling
Sponsor:
University of Southampton
Organization:
University of Southampton
Study Overview
Official Title:
Planning for Frailty Optimal Health and Social Care Workforce Organisation Using Demand-led Simulation Modelling FLOWS
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2023-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
FLOWS
Brief Summary:
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:
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
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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None