Using health economics to improve preconception care and reduce maternity disparities(code T1.2_Southampton)

Capacity Development

The Opportunity

  • International students are welcome to apply but must secure alternative funding for the difference between UK and Overseas tuition fees.

The Project

Rationale
Maternity disparities generate substantial economic costs to the NHS. Women from
Core20PLUS groups experience higher rates of unplanned pregnancy, sub-optimal management
of pre-existing conditions, and reduced access to timely care. The DHSC roadmap to eliminating
maternity disparities highlights the importance of health before pregnancy, but economic
evidence to guide integrated, preventive systems is lacking.
Embedded within Theme-1, this PhD project will focus on the health economics aspects of the
primary and community care components of a system-wide blueprint for preconception and
interpregnancy care that will be implemented and evaluated. Primary care is a critical entry point
for reducing maternity disparities, for example through pregnancy intention discussions,
medication optimisation, contraception pathways, and referral to community and third-sector
services. This project will develop and apply an economic framework to evaluate the costs, cost
effectiveness, and equity impacts of these preconception intervention components, strengthening
the economic case for action to reduce maternity disparities.

Methods
The project will use an iterative approach to develop and apply an economic modelling
framework to support the evaluation of the primary and community care components of the blueprint:

  • Systematic reviews of economic evaluations of preconception and interpregnancy care, with
    particular attention to methods for capturing equity impacts and relevance to Core20PLUS
    groups.
  • Secondary data analysis to estimate current patterns of service use, spending, costs and
    outcomes, including disparities across Core20PLUS groups.
  • Stakeholder-engaged conceptual modelling, working with a Stakeholder Advisory Group to
    identify potential programmes for investment, and agree relevant outcomes and prioritisation
    criteria.

Expected impact

The development of an economic modelling framework will generate interim deliverables during
the PhD studentship, including:

  • Estimates of current spending and inequities in preconception/interpregnancy care.
  • Rapid evidence briefs for health and care boards, and primary care networks, on
    investment priorities.
  • Interim economic metrics to support local commissioning and resource allocation
    decisions.

Longer-term scalable impact includes improved targeting of primary and community care resources
to reduce maternity disparities, stronger alignment of prevention spending with population needs,
and integration of economic evidence into wider system modelling.

Supervisor- Danielle Schoenaker: [email protected]

Who is a MDC PhD studentship for? 

We welcome applications from individuals passionate about maternal health equity with particular methodology knowledge and experience. We are committed to building a supportive, inclusive, and caring research community. We particularly encourage applications from: 

Eligibility Criteria

Essential

  • Masters degree in health economics or another relevant quantitative discipline.
  • Understanding of and commitment to tackling maternity inequalities. 
  • Relevant previous research experience – this experience may be relevant to either the research or methodological area. 
  • Excellent written and verbal communication skills. 
  • Highly motivated. 
  • Able to work both independently and as part of a team. 
  • Able to plan and manage own work. 
  • International applicants are welcome to apply for studentships, but applicants who are selected for interview must be able to provide proof of funding for international fees and immigration costs prior to their interview.   
  • English language requirement which can be found on individual university postgraduate admission web pages.

Desirable

  • Experience of literature reviewing.
  • Experience of quantitative research methods and data analysis.

*All students will be expected to be based at their host university and meet the individual university PhD studentship regulations. Please check individual university postgraduate admissions.

Stage One: Application – Please complete and submit an application form b5pm Monday 7th September 2026. You may apply for a maximum of two projects. You may choose to submit one covering letter or one covering letter for each project, if you are applying for more than one. 

  • Please upload a two-page CV and at least one covering letter (max. 1 page).  We also ask that you identify two referees (one must be an academic referee). Please name your CV and covering letter using the following naming convention: 
  • Surname_CV_project code
  • Surname_CL_project code 

Stage Three: University Placement – Successful candidates will be required to register for a PhD at the host institution.  Please note that you must also meet the specific entry requirements of the host institution. More information can be found on individual institution websites and by contacting the lead supervisor on the project.  

PhD studentships will start January 2027 

Apply here

Deadline 5pm Monday 7th September

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