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  1. About Us
    1. About Us
    2. The Team
    3. Member Organisations
    4. Governance
  2. Research & Knowledge Mobilisation
    1. Research & Knowledge Mobilisation
    2. Impact
    3. Social Care and Social Work
      1. Social Care and Social Work
      2. Social Care - Kent, Surrey & Sussex Region
    4. Starting Well: Children's Mental Health
      1. Starting Well: Children's Mental Health
      2. Meet the team
    5. Primary and Community Health Services
      1. Primary and Community Health Services
      2. Meet the team
    6. Living Well with Dementia
      1. Living Well with Dementia
      2. Meet the team
    7. Co-production
      1. Co-production
      2. Meet the team
    8. Public Health
      1. Public Health
      2. Meet the team
    9. Digital Innovation
      1. Digital Innovation
      2. Meet the team
    10. Economics of Health and Social Care
      1. Economics of Health and Social Care
      2. Meet the team
    11. Implementation
      1. Implementation
      2. Meet the team
    12. Rapid Evidence Synthesis
      1. Rapid Evidence Synthesis
      2. Meet the team
    13. Knowledge Mobilisation
      1. Knowledge Mobilisation
      2. Meet the team
  3. Public and Community Involvement
    1. Public and Community Involvement
    2. What is PCIE?
    3. Getting Involved
    4. Support for researchers
    5. Resources
    6. PCIE Guide
      1. PCIE Guide
      2. Contents
      3. Introduction
        1. Introduction
        2. An overview of ARC KSS
        3. Who can help you with PCIE?
        4. Terminology and PCIE
      4. Why and When to do PCIE
        1. Why and When to do PCIE
        2. Why involve members of the public in research?
        3. Why do members of the public want to get involved in research?
        4. When to get members of the public involved?
      5. How to do PCIE
        1. How to do PCIE
        2. Communication and Accessibility
        3. Budgeting
        4. Planning for involvement and engagement
        5. How to recruit members of the public
        6. Inclusive Research
        7. Approaches – different options for undertaking PCIE
        8. Facilitating meetings and Group dynamics
        9. Ethics
        10. Feedback
        11. Impact and Evaluation
      6. Examples/Case Studies
      7. Appendix/Useful tools
  4. Learning and Development
    1. Learning and Development
    2. ARC KSS AcademyARC KSS Academy
    3. Learning and DevelopmentLearning and Development
      1. Learning and Development
      2. Learning and Development Finder
      3. Researchers Journeys
    4. MentorshipMentorship
    5. Research communities of practiceResearch communities of practice
    6. Research Week Research Week
      1. Research Week
      2. Research Week 2025: Poster Competition
      3. Previous Research Weeks
    7. NIHR Health and Care Professional Internship Programme South EastNIHR Health and Care Professional Internship Programme South East
  5. Resource Library
  6. Events
  7. News
  8. Contact Us

We’re updating our website

We are currently updating the ARC KSS website to reflect our new funding and the changes it brings to our programme of work.  These changes will take place over the course of the next few months.

Please bear with us while we work behind the scenes to make these improvements. We thank you for your patience.

In the meantime, if you need help finding anything, please contact spft.arcksscommunications@nhs.net

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Molly Hodges

PhD Student (University of Surrey) Primary and Community Health Services

Molly Hodges

Molly completed her Undergraduate studies at the university of Bath Graduating with an MSci(Hons) in Sport and Exercise Science.

Molly then went on to work as a Research Officer at the University of Brighton before joining the University of Surrey where she is studying for a PhD. Molly’s research aims to use upper extremity movement analysis to inform the treatment of shoulder pain. The project will involve biomechanical analysis of shoulder pain patients and hopes to utilise conventional statistical analysis as well as novel machine learning approaches.
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