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

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.