Postgraduate research opportunities A Hybrid Simulation Approach for Planning a Sustainable Model of Personalised Home Care

Apply

Key facts

  • Opens: Monday 29 January 2024
  • Deadline: Wednesday 3 April 2024
  • Number of places: 1
  • Funding: Home fee

Overview

This PhD is an exciting opportunity to develop and use cutting-edge systems simulation modelling in tackling the complex challenges in health and social care. The focus of this project is on understanding how personalised, technology-facilitated home care can efficiently meet the current and future demands of health and social care for older adults. Systems simulation modelling has lacked a coherent theory for incorporating health-related behaviour—an aspect crucial to addressing this topic.
Back to opportunity

Eligibility

You should have (or expect to have) a 2:1 Bachelor’s Degree or a Master Degree (Distinction), or equivalent achievements in Operational Research/Management Science, Health Economics, Public Health, or related fields.

Strathclyde Business School is committed to supporting a diverse and inclusive postgraduate research population. We make decisions on entry by assessing the whole person and not relying solely on academic achievements. On that basis, please ensure that your application (via your CV and covering letter) can evidence your resourcefulness, commitment and resilience as demonstrated by broader professional and life experiences. This evidence should be centred on your ability to undertake and complete a PhD and contribute to a positive PhD community.  

If English isn't your first language, you'll need an IELTS score of 6.5 or equivalent with no individual element below 5.5.  

Your application must include:  

  • An updated curriculum vitae  
  • Details of two academic referees, including email addresses  
  • Academic transcripts, which must be certified copies 

There will be a shortlisting and interview process.

THE Awards 2019: UK University of the Year Winner
Back to opportunity

Project Details

This PhD is an exciting opportunity to develop and use cutting-edge systems simulation modelling in tackling the complex challenges in health and social care. The focus of this project is on understanding how personalised, technology-facilitated home care can efficiently meet the current and future demands of health and social care for older adults. Systems simulation modelling has lacked a coherent theory for incorporating health-related behaviour—an aspect crucial to addressing this topic. The student undertaking this research will not only contribute to improving practices in personalised, technology-facilitated home care but will also advance the theory and methodology of systems modelling. Their work involves developing hybrid systems models, informed by behavioural theory, and integrating methods of System Dynamics, Discrete-Event Simulation, and Agent-Based Modelling. The work is situated in the Department of Management Science at Strathclyde Business School with support from the Psychological Sciences Department.

Background

The escalating number of older adults receiving home-based care presents and ongoing challenge for the UK Health and Social Care system. Despite efforts to reshape home care delivery, a sustainable and personalise model remains elusive. The prevailing time-and-task commissioning model, favoured for its political security, has led to fragmented services and limited understanding of older adults' needs. This dominant model emphasizes in-home service provision, neglecting a holistic approach to support independent living and lacks focus on long-term cost measurement or outcomes assessment.

Providers, grappling with complex commissioning processes and strained social care budgets, face instability in the market. Localised innovations, though sporadic, lack consistent efforts for widespread enhancement, with evidence-sharing and scaling of successful strategies remaining scant. The absence of data on impact, implementation costs, efficiency improvements, financial savings, and outcomes for service users further hinders progress.

Home care provision spans diverse interconnected domains, such as health, social care, housing, financing, workforce, and technology. Evaluating the effectiveness and cost-effectiveness of home care models requires a holistic understanding of the entire health and social care system. Deploying models without insight into potential outcomes and unexpected effects can lead to substantial costs. Addressing the complexity of personalized, technology-facilitated home care demands an innovative approach.

Aim

The focus of this project is to comprehend how personalized, technology-facilitated home care can efficiently meet the health and social care demands of older adults in Scotland. The student will pioneer a hybrid simulation approach, integrating health behaviour theories to construct models and simulations. This method, combining System Dynamics, Discrete-Event Simulation, and Agent-Based Modelling, has successfully tackled complex health and social care problems.

In addition to undertaking cutting-edge research, students are also registered for the Postgraduate Certificate in Researcher Development (PGCert), which is a supplementary qualification that develops a student’s skills, networks, and career prospects.

Back to opportunity

Funding details

Fully-funded scholarship for 3 years covers all University tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference. 

Back to opportunity

Supervisors

Dr Nguyen

Dr Le Khanh Ngan Nguyen

Strathclyde Chancellor's Fellow
Management Science

View profile
Dr Megiddo

Dr Itamar Megiddo

Senior Lecturer
Management Science

View profile
Back to course

Apply

Number of places: 1

To read how we process personal data, applicants can review our 'Privacy Notice for Student Applicants and Potential Applicants' on our Privacy notices' web page.

Management Science

Programme: Management Science

PhD
full-time
Start date: Oct 2023 - Sep 2024

Our faculties & departments