Shifting participation power: embedding community research link workers in equitable periconception care(code A1.2_Sheffield)

Capacity Development

The MDC capacity development programme aims to build the next generation of maternity disparities research leaders, strengthen the workforce to deliver and sustain impact across the UK and deliver on the government priorities including the Women’s Health Strategy for England and 10 Year Health Plan for England.  

The Consortium focuses on growing long-term research capacity and expertise, especially within underrepresented disciplines, professions and underserved communities; inspiring and supporting the next generation of researchers with the right skills mix to work across clinical, practice and research sectors.  

The Opportunity

We are offering up to 13 funded PhD studentships (1 co-funded with the NIHR School for Public Health Research) across a range of potential projects at universities across our Consortium. We are specifically looking to grow research capacity in methodological areas, including but not limited to, health economics, statistics, trial design, digital research, data science, implementation science and co-production methods where expertise is currently limited. 

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

The Project

This project is co-funded by The NIHR Inequalities Challenge: Maternity Disparities Consortium (MDC) and the NIHR School for Public Health Research.

Rationale and Expected Impact

Preconception and interpregnancy health are critical determinants of maternal, neonatal and long-term child outcomes. However, access to high-quality preconception care remains inequitable, particularly for women from minoritised ethnic communities, socioeconomically disadvantaged groups, and those experiencing systemic barriers within maternity systems. Communication gaps, fragmented service pathways and limited community engagement contribute to delayed access and suboptimal health optimisation before pregnancy.

This PhD will investigate how access, communication and experience of preconception and interpregnancy services can be improved through co-produced, community-informed and digitally enabled models of care in South Yorkshire. The project will generate actionable evidence to support prevention-focused, community-based maternal health strategies aligned with national maternity policy and NIHR priorities.

Aims

  1. To map current access pathways, barriers, and facilitators to preconception/interpregnancy care.
  2. To explore the lived experiences of service users and professionals.
  3. To co-produce and evaluate recommendations for improved, equitable care pathways incorporating digital tools where appropriate.

Methods: Using community-based participatory research and implementation science frameworks, the study will work in partnership with local Voluntary, Community and Social Enterprise (VCSE) organisations to:

1. Train and embed Community Research Link Workers (CRLWs) from underserved communities to facilitate focus groups, recruit participants and co-produce culturally grounded engagement strategies.

2. Co-design adaptations to periconception and interpregnancy interventions (e.g., folic acid uptake, medication optimisation, smoking cessation, pregnancy planning support).

3. Evaluate the impact of CRLW-led engagement on equitable reach, uptake and early outcomes using mixed methods and equity-stratified routine data analysis (with DELTA support).

Data will be analysed using thematic analysis and implementation science frameworks. Where appropriate, routinely collected data may be used to examine disparities in access and outcomes. By shifting research participation power to community members, the project will strengthen trust, cultural safety and representativeness in implementation.

Capacity Development: The student will gain training in mixed methods research, community co-production, health inequalities research, implementation science, patient and public involvement (PPIE), and digital health evaluation. The project will strengthen interdisciplinary capability across maternal health, public health and health services research.

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

  • First/Upper Second-Class Honours degree (2:1 or above) in a relevant subject. 
  • A Master’s degree or equivalent in a relevant field. Exceptional candidates without a Master’s degree but with significant research experience may also be considered.
  • 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. 
  • Strong quantitative research skills and experience analysing complex datasets, ideally including routinely collected data.
  • Experience (academic or applied) in qualitative or mixed-methods research.
  • Ability to work collaboratively with community and professional stakeholders.
  • 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 in patient and public involvement (PPIE) or co-production.
  • Knowledge of NHS maternity systems or public health policy.
  • Experience working with underserved or marginalised populations.
  • Interest in digital health or service innovation.
  • Training in data analysis software (e.g., NVivo, R, Stata, SPSS or similar).
  • We strongly encourage applications from candidates from underrepresented backgrounds and those with lived or community experience relevant to the project.

*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 by 5pm 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

Explore more opportunities

View more Methodology PhD Studentships

Return to the category landing page to view related opportunities, guidance and application information.

Back to Methodology PhD Studentships