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ORNET  May 2010

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Subject:

ESRC CASE PhD Studentship: Health Modelling

From:

Stewart Robinson <[log in to unmask]>

Reply-To:

Stewart Robinson <[log in to unmask]>

Date:

Thu, 13 May 2010 08:26:49 +0100

Content-Type:

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text/plain (115 lines)

ESRC CASE PHD Studentship

A Model Selection Framework for NICE Technology Appraisal Reviews 

University of Warwick - Warwick Business School (Operational Research
and Management Sciences Group) and Warwick Medical School (Health
Sciences Research Institute)
Closing Date: 11 June 2010
Interview Date: 22 June 2010 - Held at the University of Warwick
Start Date: 1 October 2010
The successful applicant will receive full fees and a stipend of
£17,290 per annum for 3 years. 
Available to UK and other European Union nationals only

This research aims to develop and evaluate a framework for selecting an
appropriate operational research (OR) model to support decision making
and public understanding of  NICE Technology Appraisal Reviews (TARs) .
There is a significant need for OR modelling to support National
Institute for Health and Clinical Excellence (NICE) decision making with
regard to the introduction of new technologies.  TARs often incorporate
standard models, but there is uncertainty over whether the most
appropriate modelling approach is always selected and whether the scope
and level of detail of such models is correct, in common parlance, are
the models *fit-for-purpose?* Models are widely criticised in the
public press for being incomprehensible, arcane and potentially unfair
to certain groups, for example, those with terminal disease.  This has
led to recent changes, for example, in recommended cost per quality of
life year (QALY) limits for those deemed to be in the last few months of
life.  NICE  have also been criticised by different groups within the
NHS, for example, health commissioners, who suggest that current
technology appraisal models, whilst suited for technical efficiency
decisions for single technologies or diseases, fall down when
improvements in allocative efficiency are being considered. In other
words, multiple relatively expensive technologies approved for use by
NICE can *break the bank* for Primary Care Trusts struggling to make
ends meet.
These problems can be described both in terms of model validity
(sufficient accuracy for purpose) and credibility (client and public
confidence in the models and their outcomes).  This project will
evaluate past TAR modelling work, and using the expertise of the
supervisory team, investigate a framework for identifying the
appropriate modelling approach and the appropriate model.  A key element
will be to aim to identify simpler models or models which are more
immediately appealing to patients, the public and professionals.

SUPERVISION

The studentship will be supervised by Professor Stewart Robinson in the
Operational Research and Management Sciences Group (Warwick Business
School), and by Aileen Clarke, Professor of Public Health & Health
Services Research (Warwick Medical School), and Director of Warwick
Evidence Technology Appraisal Review Team.   This research is part of an
ongoing collaboration between Warwick Business School, Warwick Medical
School and Bazian Ltd. Additional supervisory input will be sought where
appropriate from health economists within the Medical School and the
Department of Economics. 
Warwick Business School is one of the UK's top ranking business
schools, and the Operational Research and Management Sciences Group is
widely recognised as one of the leading centres for research and
teaching in operational research and management science. The Health
Sciences Research Institute covers new and emerging areas of health
research and key health priorities.  At present there are three main
research groups:  one of which covers public health, epidemiology,
psychiatry, child health, medical statistics, knowledge management,
evidence and e-health, led by Aileen Clarke; the second, led by Jackie
Sturt, covers primary care, the primary-secondary care interface and
health care systems; and the third, led by Sallie Lamb, Warwick Clinical
Trials Unit (CTU) is soon to be joined by a Professor of Health
Economics and a support team.
Possible collaborators/advisors within the Warwick University
Department of Economics include those working on: development of health
outcome measures and indices, advancing techniques of cost-benefit,
cost-utility and cost-effectiveness and/or investigating use of other
measures of wellbeing; application of decision theory, including
behavioural decision models, to health care decision making and
interventions designed to influence individual / household health
behaviour.

APPLICATIONS

Candidates should have a minimum 2.1 class undergraduate degree and a
relevant Masters degree or equivalent experience.  This should be in a
quantitative background and preferably operational research/management
science.  Preference will be given to candidates with experience of
operational research modeling, particularly in a health context. 
To apply please use the standard Warwick Business School doctoral
programme application process (see www.wbs.ac.uk/students/doctoral/). 
Clearly state that the supervisors will be Professor Stewart Robinson
and Professor Aileen Clarke, and state the name of the project on your
covering letter.  Also email Professor Robinson to state that you have
applied so we can quickly identify your application form.
You are asked to write a 2,000 word research proposal based on the
topic of the research project.  This will be used to assess your
capability as a PhD researcher.
For further details please contact Professor Stewart Robinson at the
University of Warwick. Email:  [log in to unmask] 





Stewart Robinson
Professor of Operational Research, Associate Dean for Specialist
Masters Programmes
Warwick Business School, University of Warwick, Coventry, CV4 7AL,
UNITED KINGDOM

Tel: 44-(0)2476-522132
Home Page: www.btinternet.com/~stewart.robinson1/sr.htm
New Book on Simulation Conceptual Modelling:
www.routledge.com/books/Conceptual-Modeling-for-Discrete-Event-Simulation-isbn9781439810378

-- 
Scanned for Warwick Business School by iCritical.

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