About the Project
Implementation science can be defined as the scientific study of methods to promote the systematic uptake of research findings, and other evidence-based practices, into routine clinical practice, and, hence, to improve the quality and effectiveness of health services. The aim is typically to evaluate an implementation strategy (such as Audit & Feedback), which is typically directed at clinician behaviour and/or organisational change. Implementation labs have recently been proposed as a means of using existing “at scale” service implementation programmes (e.g. National Clinical Audits) to embed sequential experiments that would test different ways of delivering implementation strategies; methodological research to improve the quality of National Clinical Audits is currently a MRC priority. However, despite the most recent Cochrane Review including 140 randomised trials, it remains difficult to recommend one strategy (or combination of components) over another on empirical grounds.
Aims and Objectives
To translate logic models of Audit and Feedback (A&F) and existing data into mathematical models, which can elaborate and refine those logic models and subsequently inform the design of randomised trials of A&F. The specific objectives are:
1. To briefly review the relevant methodological and implementation literature, and to become familiar with the relevant theoretical/logic models;
2. To explore and re-analyse a series of completed randomised trials of A&F and collate existing data on the effects of A&F;
3. To translate existing theoretical/logic models and data into a mathematical model that describes how A&F leads to a range of outcomes under a variety of scenarios;
4. To consider and implement different approaches to eliciting and refining distributions for the parameters in your mathematical model based on clinical or expert opinion;
5. To use your mathematical model to inform the design of a randomised trial that maximises the Value of Information (VoI) gained.
You will receive training in medical statistics, experimental design, mathematical modelling, elicitation methods, VoI analysis and the application to national clinical audits.
You should hold a first degree equivalent to at least a UK upper second class honours degree in a relevant subject, including mathematics, and/or a MSc in statistics or a related area. This project would suit someone with an interest in medical statistics.
The minimum requirements for candidates whose first language is not English are::
• British Council IELTS - score of 6.5 overall, with no element less than 6.0
• TOEFL iBT - overall score of 92 with the listening and reading element no less than 21, writing element no less than 22 and the speaking element no less than 23.
How to apply
To apply for this project applicants should complete a Faculty Scholarship Application Form using the following link. https://medicinehealth.leeds.ac.uk/downloads/download/129/faculty_graduate_school_-_application_form and send this alongside a full academic CV, degree certificates and transcripts (or marks so far if still studying) to the Faculty Graduate School email@example.com. If you are an International applicant please include evidence that you are able to fund the difference in academic fees between the UK/EU and international rate.
We also require 2 academic references to support your application. Please ask your referees to send these references on your behalf, directly to firstname.lastname@example.org by no later than Thursday 3 December 2020.
(2) Collins et al, Ann Behav Med 2005; 30: 65-73.
(3) Walwyn, Gilmour et al, ICTMC, 2015.
(4) Gilmour, Walwyn, IBS-BIR, 2016.
(5) Rohwer et al. 2016 http://www.integrate-hta.eu/downloads/.
(6) Eldridge et al. J Health Serv Res Policy, 2005, 10(3): 133-142.
(7) Greenwood-Lee et al. BMC Medical Research Methodology, 2016, 16:51.
(8) Ivers et al. Cochrane Database of Systematic Reviews, 2012, 6: CD000259.
Why not add a message here
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.