(INTERNATIONAL DFE COMPETITION) - THE COST-EFFECTIVENESS OF MUSIC THERAPY FOR CHILDREN AND YOUNG PEOPLE WITH BEHAVIOURAL AND EMOTIONAL PROBLEMS


   School of Nursing and Midwifery

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr F Lynn  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

This PhD opportunity will build on a trial-based economic evaluation previously conducted alongside a randomised controlled trial into the cost-effectiveness of music therapy versus standard care for children and young people with behavioural and emotional problems attending Child and Adolescent Mental Health Services.

Background

In 2014, a randomised controlled trial and economic evaluation assessed the effect and cost-effectiveness of music therapy plus standard care versus standard care alone. Over 250 children and young people with behavioural and emotional problems were recruited from Child and Adolescent Mental Health Services in Northern Ireland. Outcomes assessed at 13 and 26-weeks’ post-randomisation included communication, social functioning and health-related quality of life. A limitation of the cost-effectiveness analysis was that it was trial-based with a <1-year time horizon.

Aim

To assess the longer-term cost-effectiveness of music therapy for children and young people with behavioural and emotional problems.

Objectives

Project objectives are to (i) design a model to estimate the cost-effectiveness of music therapy using a life time approach and a provider perspective (ii) collect 10-year follow-up data from routine sources on resource use, (iii) conduct a focused literature search for relevant evidence to populate the model, and (iii) estimate the incremental cost-effectiveness of music therapy versus standard care in terms of cost per quality-adjusted life year gained.

Methodology

The methodology will include secondary data collection and analysis, literature reviews, Markov modelling, sensitivity analyses, subgroup analyses, and underpinned by stakeholder engagement. The student may also explore the transferability of the model to alternative settings using country-specific parameters.

Expected outcomes

The PhD student will be trained to independently design and conduct trial- and model-based economic evaluations of interventions of effect. Outputs will include conference presentations, peer-reviewed publications and an infographic for policymakers and advocates for child and adolescent mental health.

How to Apply

Complete the online application via the Direct Access Portal. Applicants must supply a cover letter (2 pages max) detailing your interest and experience applicable to this PhD and you should attach this when prompted to upload a proposal.

Closing date: 2 February 2024

Anticipated interview date: 6 March 2024

Start date: 16 September 2024

For further information please contact Dr Fiona Lynn at [Email Address Removed]

APPLY NOW

Funding Information

The School of Nursing and Midwifery at Queen’s University Belfast is offering one Department for the Economy (DfE) studentship which is open to INTERNATIONAL STUDENTS ONLY for September 2024 entry. The studentship will cover tuition fees and stipend. The current studentship for 23/24 academic year is £18,622 but the amount for the academic year 24/25 is to be confirmed. More information on DfE studentships can be found here.

Please note that this is a competitive award – there are 8 advertised projects for 1 International DfE Award

Applications are also considered throughout the year from applicants who have secured external funding or are willing to self-fund the project.

Essential criteria

IELTS (or equivalent) of 7.0, and a 2.1 class honours degree (or equivalent).

Experience of empirical data collection and analysis.

Desirable criteria

A 1st class honours degree (or equivalent) in a relevant subject.


Biological Sciences (4) Creative Arts & Design (9) Psychology (31)

 About the Project