KINGS COLLEGE LONDON

Research Associate in Digital Assessment of Frailty

Location
London (Greater)
Salary
£38,826-£44,427 pro rata per annum, including London Weighting Allowance
Posted
Tuesday, 7 December 2021
End of advertisement period
Friday, 7 January 2022
Ref
038066
Job Type
Research Related
Contract Type
Fixed Term
Hours
Part Time

Job description

We are looking for a Research Associate to join us to work on a project funded by a NIHR Programme Development Grant: Digital and Remote Enhancements for the Assessment and Management of older people living with frailty (DREAM). The purpose of the project is to design an enhanced Comprehensive Geriatric Assessment (eCGA) intervention which will be tested in a future trial. Intervention development will involve a combination of stakeholder engagement, focus groups, evidence synthesis and theory development. This project has four workstreams which will be managed through the University of Exeter and King’s College London including: 

 

1.      Defining the elements of eCGA 

2.      Establishing feasibility, acceptability, and outcomes of eCGA  

3.      Developing Programme Theory 

4.      Designing a future programme of research to evaluate eCGA 

 

The post holder will work on workstream 1, which involves defining the elements of eCGA. This will be achieved by planning and undertaking a series of evidence reviews of potential components of eCGA. The nature and type of reviews will depend on outcomes from stakeholder and focus group feedback as the project sequentially completes a taxonomy to define the eCGA process.   

 

The post holder will work with Dr Julie Whitney in the department of Population Health Sciences. There will also be close links with the research team at University of Exeter with respect to the stakeholder engagement and focus group findings.

 

Candidates must have experience in, and knowledge of evidence synthesis and be able to analyse both qualitative and quantitative findings. This project would be ideal for someone with an interest in the issues affecting frail older people and an understanding of contemporary health and social care provision for this group. Comprehensive Geriatric Assessment (CGA), in its current form is a highly complex intervention. This project seeks to find ways to enhance the processes involved in CGA, looking to identify better methods or modes of delivery for individual constituents of the intervention. Proposed intervention components will be evaluated for reliability, accuracy and feasibility and acceptability for patients. Therefore, experience in designing or evaluating complex interventions is essential.  

 

This post will be offered on a fixed term contract for 10 months 

This is a  part-time post - 40% full time equivalent / 14 hours per week

 

Key responsibilities

•        Undertaking evidence synthesis; preforming database searches, evidence selection and extraction.  

•        Analysing the data collected using relevant quantitative and qualitative methods 

•        Supporting stakeholder consultation and focus group activities and using the findings to guide search strategies  

•        Contribute to writing and dissemination activities 

•        Developing ideas for the future DREAM study programme 

 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post. 

Skills, knowledge, and experience 

Essential criteria  

1.      PhD or equivalent qualification / extensive experience in health services research. 

2.      Knowledge and experience of evidence synthesis 

3.      Knowledge and experience in the development of complex interventions including use of taxonomies to describe these interventions 

4.      Experience of presenting research findings to a variety of audiences 

5.      Able to develop productive working relationships with project partners and collaborators from health care and independent sectors. 

6.      Able to balance the pressures of research, administrative demands and competing deadlines. 

7.      Committed to equality, diversity and inclusion, actively addressing areas of potential bias 

 

Desirable criteria

8.      Masters degree in relevant subject or equivalent.  

9.      Able to use a range of computer software packages  

10.  Understanding of health service issues related to older people and underserved groups 

 

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 

Further information

Candidates are strongly encouraged to specifically address the essential criteria outlined in the Person Specification in their covering letter.  

 

The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, diabetes, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF 2014 was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six Departments 

 

About the Faculty:   https://www.kcl.ac.uk/lsm/index.aspx 

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