Lead the implementation of evidence-based care for people with complex advanced and chronic care needs
Implementation Science addresses one of the biggest challenges in health and social care today - how to get the best of what we know delivered in routine practice. This is vital for people to get the treatments and care for which there is evidence of real benefit.
Bringing together knowledge from research and practice, this module will equip you with the skills to critically research, select, and adapt the implementation strategies needed to deliver evidence-based care to people with complex advanced and chronic care needs.
About the module
From simple interventions to complex service change, and from linear ‘push and pull’ models of knowledge translation to systems change, this module is designed to help you develop your critical skills in implementation science. You will have the opportunity to learn from experts in advanced and chronic care through lectures, small group work, and online activities.
The module will provide in-depth introductions to different approaches to implementing evidence in advanced and chronic care. You will also learn about the use of implementation and knowledge mobilisation theories and frameworks, stakeholder engagement in intervention and implementation strategy development, and methodological skills for evaluating the complex open systems in which implementation takes place. Assessment will take the form of project, giving you the opportunity to apply approaches to implementing evidence you have learnt to a particular situation which addresses your clinical or research interests.
The content of this module is mapped to the Medical Research Council’s Complex Interventions Framework, so your learning will align with the priorities of service delivery and major research funders.
Ideal for clinicians or researchers who are looking to develop their implementation expertise, you can take the module on its own or as part of a postgraduate research degree at Hull York Medical School (MSc, MD, or PhD).
Who is this module for?
The module is ideal for graduates in health or social care (Medicine, Nursing, Physiotherapy, Occupational Therapy, or Social Work) or in a science applied to human or organisational behaviour (e.g. graduates of psychology or sociology).
The module is also suitable for NIHR Doctoral Fellows and Trainees (e.g. those on the NIHR Integrated Academic Training Programme).
How is the module assessed?
The assessment for this module is a 4000 word implementation strategy proposal.
What qualification to students receive?
Students receive 20 Level 7 credits on successfully completing this module.
About your module lead
Dr Mark Pearson
Mark is a Senior Lecturer in Implementation Science and Knowledge Mobilisation. A researcher in the Wolfson Palliative Care Research Centre, Mark’s research and teaching focuses on how to get the best of what we know about treatments and care delivered in routine practice.
Mark worked clinically as an Adult Nurse in acute medicine, rehabilitation, and medical oncology, before moving to social science research. His move from practice to research was motivated by a desire to understand, and change, the many things that stop knowledge being used to inform practice.
Applicants must have previous training in a health or social care profession (e.g. graduates of Medicine, Nursing, Physiotherapy, Occupational Therapy, or Social Work) or in a science applied to human or organisational behaviour (e.g. graduates of psychology or sociology).
Applicants whose first language is not English will be required to demonstrate evidence of proficiency in English Language with an IELTS score of 6.5 in the academic test, with minimum score of 6.0 in all four language competences (listening, reading, speaking and writing).
Intercalating medical students must have successfully completed a minimum of three years of an MB BS or comparable medical qualification.
- Home/EU students: £1040
- Overseas students: £1737
How to apply
Please contact the module lead Dr Mark Pearson:
Email Dr Mark Pearson