HEDS is part of the School of Health and Related Research (ScHARR) at the University of Sheffield. We undertake research, teaching, training and consultancy on all aspects of health related decision science, with a particular emphasis on health economics, HTA and evidence synthesis.

Wednesday, 3 August 2022

New HEDS Discussion Paper - Value-adaptive clinical trial designs for efficient delivery of research – actions, opportunities and challenges for publicly funded trials

New HEDS Discussion Paper - Value-adaptive clinical trial designs for efficient delivery of research – actions, opportunities and challenges for publicly funded trials

Dr Laura Flight is the lead author on a new published HEDS Discussion Paper; 'Value-adaptive clinical trial designs for efficient delivery of research – actions, opportunities and challenges for publicly funded trials'

Image of HEDS Discussion Paper pre print
HEDS Discussion Paper Series

Abstract

Value-adaptive designs are a set of emerging methods for efficient clinical trial design that aim to maximise expected population health for the money being spent. They involve adaptive data collection processes that consider the costs of research, the expected value of information from data collection, and the health technology assessment decisions around cost-effectiveness. 

This topic is important to clinicians practising in publicly funded healthcare systems as they rely on evidence-based treatment strategies that have been shown to be effective in comparison to alternative interventions. Therefore, more efficient, and accurate research studies potentially offered by value-adaptive designs can feed into real decisions and implementation in the care provided by the National Health Service (NHS). Doing so offers the potential to save research costs, to bring the better technology to patients sooner, and to reduce the number of patients randomised into the trial. 

In this article, we review these emerging methodologies, summarise recent methodological advances, and assess the opportunities they offer for improving the efficiency of publicly funded trials. We also discuss the steps that might be taken by funders, clinicians, trial teams, the public and healthcare decision makers to successfully deploy these methods.

Download the publication via our White Rose Open Access Repository

HEDS Discussion Paper Series

Dr Laura Flight


Monday, 25 July 2022

Job Vacancies - Research Assistants

We are currently advertising for two Research Assistants to join the Health Economics and Decision Science (HEDS) Section to provide support on a range of applied policy and methodological research.


ScHARR, Regent Court



Reference NumberUOS033854
Salary: Grade 6
Details: Part-time (17.5 hours per week) and fixed-term until September 2024
Closing Date: 3 August 2022 
 
The vacancy and ATJ can be found can be found here

You will work within the Health Economics and Decision Science (HEDS) Section (www.shef.ac.uk/scharr/sections/heds) as part of a multidisciplinary team providing support to health economics/decision modelling research staff on a range of applied policy and methodological research with a particular focus on cost-effectiveness of healthcare and public health interventions. 


The work will involve contribution and support to a range of projects funded by research grants and knowledge exchange consultancy. The projects involve designing and undertaking health economic, statistical, and epidemiological modelling based analyses for policy appraisal. The work is for a wide range of decision makers. The funders/customers include the Department of Health and Social Care and related agencies, major UK research councils such as NIHR. Local NHS and government organisations and commercial organisations. Analysis of complex datasets and design of health economic models are key activities, as is methodological development to support cost-effectiveness analysis. Approaches used within the projects include decision analytic modelling (e.g. Markov and discrete event simulations), optimisation techniques, and econometrics and multivariate statistical analyses. 


You will provide support to senior health economists and modellers, contribute to the design of evaluations, undertake supervised analyses and contribute to peer-reviewed reports, journals and conference presentations. The successful applicant will also contribute to writing research and consultancy tenders. You will also contribute to the Section’s teaching responsibilities by delivering tutorials. A graduate qualification in a numerate subject (e.g. statistics, economics, operational research, mathematics, or quantitative applied sciences or social sciences) is essential and a post-graduate qualification or equivalent experience is desirable. 


This post is designed to undertake project work half-time and at the same time undertake parttime education on our Masters in Health Economics and Decision Modelling (http://www.shef.ac.uk/scharr/prospective_students/masters/hedm). There is also the option for a candidate who is already fully qualified in Health Economic Modelling to take the role part-time without undertaking the MSc. 

Monday, 18 July 2022

Fully-funded Wellcome PhD Studentship - Starting September 2022

We are currently advertising one fully-funded studentship to join our Wellcome Doctoral Training Centre in Public Health Economics and Decision Science in September 2022.  

This is a rapid recruitment process and is separate to our annual recruitment round (which will run later in the year as normal).  It is only open to UK or Irish applicants who are eligible for home tuition fees.  

The Wellcome DTC it is an exciting cohort-based four-year programme that provides students with a unique experience including masters modules, research attachments, and opportunities to question senior scientists and public health leaders.  It provides a fully-funded four-year studentship including:

  • Tuitions fees
  • A tax-free living costs stipend at the generous Wellcome rates
  • An extremely generous research training and support grant of £53,500
  • Transition funding to support the student's next steps post-PhD of at least £36,160

For more information about the programme, please see our website and the FindAPhD advert.  The deadline for applications is midnight on Friday 29th July.  Interviews will take place on 8th and 9th August. 


Tuesday, 21 June 2022

The Spring/Summer 2022 issue of the HEDS Newsletter is out!

The newsletter you've all been waiting for! The Spring/Summer 2022 issue of the HEDS Newsletter is now available and includes:


  • International development of a new measure of Health and Wellbeing,
  • HEDS hosts the 100th Health Economists' Study Group (HESG) meeting,
  • A new framework to identify quality of mental healthcare,
  • And the latest publications by HEDS staff 

HEDS Newsletter 17.1
HEDS Newsletter 17.1



Thursday, 9 June 2022

Two Job Vacancies at ScHARR - Research Assistants

We are currently advertising for two Research Assistants to join the Health Economics and Decision Science (HEDS) Section as part of the Sheffield Alcohol Research Group (SARG).


** Closing date Monday 27th June **

ScHARR, Regent Court

Are you interested in working for a world top 100 University?

We have an exciting opportunity in the School of Health and Related Research (ScHARR) to join the Health Economics and Decision Science (HEDS) Section as part of the Sheffield Alcohol Research Group (SARG). You will work as part of a multidisciplinary team providing support to health economics/decision modelling research staff on a range of applied policy and methodological research with a particular focus on the effects of alcohol and of tobacco.

The post is funded as part of the UK Prevention Research programme:- Shaping public health policies to reduce inequalities and harm (SPECTRUM). The projects involve designing and undertaking health economic, statistical, and epidemiological modelling-based analyses for policy appraisal.

Analysis of complex datasets and design of health economic models are key activities, as is methodological development to support the policy appraisal process. You will also contribute to writing research and consultancy tenders, and contribute to the Section’s teaching responsibilities by delivering tutorials.

You will have a graduate qualification in a numerate subject (e.g. statistics, economics, operational research, mathematics, or quantitative applied sciences or social sciences). A post-graduate qualification or equivalent experience is desirable.

This post is designed to undertake project work half-time and at the same time undertake parttime education on our Masters in Health Economics and Decision Modelling (with an option for a candidate who is already fully qualified to take the role part-time without undertaking the MSc). 


Reference NumberUOS033256
Contract Type: Fixed-term for 2 years, 26 September 2022 - 25 September 2024
Working Pattern: Part-time: working 17.5 hours per week, working pattern to be agreed.
Faculty: Faculty of Medicine, Dentistry and Health
Department: School of Health and Related Research (ScHARR)
Salary: Grade 6
Closing DateMonday 27 June 2022

The vacancy and ATJ can be found here.

Tuesday, 26 April 2022

ScHARR ONLINE COURSE Systematic Approaches to Searching for Evidence (NEW)

 ONLINE course: Tuesday, 28th June AND Tuesday, 12th July 2022 
(1 day course over 2 x half days)




This interactive online course will cover the key principles of searching for published and unpublished evidence in a systematic, transparent way. 

We will look at turning a research idea into a viable, structured search question; scoping the literature; choosing sources; developing effective strategies and documenting your searches so they can be reproduced.  

The course will draw on ScHARR’s decades of experience at the forefront of evidence synthesis, in addition to highlighting the latest available search tools and emerging techniques from the relevant methodological literature.

The programme will be as follows:

Preliminary session: an exclusive pre-recorded video lecture by Professor Andrew Booth, lead author of Systematic Approaches to a Successful Literature Review, 3rd edition (Sage, 2021).

Session 1 (28th June) will look at:

  • the role of the literature search in the evidence review process;
  • scoping the literature and choosing sources
  • matching your search approach to the a particular review method
  • turning a research question into a search strategy

PLEASE NOTE: Delegates will be given a search task to complete in their own time and submit within 7 days (please allow approximately 1 hour for this)

Session 2 (12th July) will look at:

  • Common pitfalls of searching (including feedback on search task)
  • Reporting searches
  • Beyond the “big bang” search - complementary and iterative methods, and when to use them
  • Emerging techniques
  • Knowing when to stop

Who will benefit from the course?:

Anyone with an interest in conducting or supporting systematic reviews or similar evidence synthesis projects, especially:

  • Postgraduate students
  • Early career researchers
  • Librarians and Information Specialists

We will draw on examples not just from health but also from evidence synthesis in the social sciences and public policy.

For more information visit the course webpage

Course faculty:

ScHARR Information Science Research

                                        

                                                             Mark Clowes

   


BOOK NOW

Monday, 25 April 2022

ScHARR ONLINE Course - Communicating your research using social media, video, podcasts, blogs and infographics


Tuesday, 24th & Wednesday, 25th May 2022 (2-3 half day sessions) 





Communicating your research has never been more important in this ever changing digital world. This two half day course (with optional third half day) will guide you through the practical ways in which you can effectively disseminate your research outputs to wider audiences.

Who will benefit from this course?

  • Researchers
  • Masters and PhD students
  • Research support staff and managers
  • Library and information professionals
  • Communications and marketing professionals


Course schedule


Session 1:  1pm - 4pm

  • How research is changing in the 21st Century
  • Social networks - What they are and which ones should you join
  • Managing your reputation online
  • Maximising Twitter’s potential as a research communication platform 

Session 2:  9:30am - 12:30pm

  • Creating research communication podcasts
  • Creating infographics and eye-catching posters
  • Getting visual - tools to help you turn a piece of research into a video presentation, screencast or animation.

Session 3: 1:30pm - 4:30pm (Optional extra)

  • Research blogging and working with the media - how to turn a piece of research into a blog/media article
  • Altmetrics and alternative indicators of scholarly interest
  • Creating a campaign and putting it together
  • 1% increments to enhance your research communications


Course Faculty:

Andy Tattersall, Jisc Social Media Superstar in UK Higher Education for 2017

If you require any further information, please do not hesitate to contact ScHARR Short Course Unit via email at scharr-scu@sheffield.ac.uk.

Tuesday, 5 April 2022

Job vacancy at ScHARR - Research Associate or a Research Fellow in Health Economics and Decision Modelling

Fancy working in a world-class research department?  Well look no further as we have a vacancy for a Research Associate or a Research Fellow in Health Economics and Decision Modelling. 


ScHARR @ Regent Court

You will support research and consultancy programmes in the Section of Health Economics and Decision Science (HEDS). The work will be focused on applied cost-effectiveness analysis and health economic modelling working on a range of projects and with a range of consultancy and research funders including NHS organisations, government bodies and agencies, healthcare and pharmaceutical companies, both nationally and internationally. The mix of work will be determined both by the needs of those work programmes and the expertise and interests of the successful candidate. 

You will contribute to the writing of research and consultancy proposals and conduct analyses as part of a broad portfolio of studies. We would expect those appointed to Research Fellow to lead proposals. You may also develop methodological work and provide associated training on those methods. You will disseminate findings in peer-reviewed journals and contribute to/ ensure wider impact with decision makers. 

Applicants should have research experience in health economics and decision modelling. A track record of publication in peer-reviewed journals and conference presentation is desirable (essential for Research Fellow). You should expect to develop existing methodological research interests, complementary to those within HEDS. You will also contribute to the development and delivery of Masters level teaching, supervision of postgraduate students and the provision of other types of training. You should have a Masters Degree or equivalent in a numerate subject, for example, mathematics, operational research, statistics or economics.


Reference Number UOS032523

Salary: Grade 7/8

Details: Full-time and fixed-term for 2 years 

Closing Date: Thursday 28 April 2022 

The vacancy and About The Job can be found here.

Thursday, 31 March 2022

ScHARR ONLINE course - Systematic Reviews and Meta-analysis

The aim of this popular and intensive course is to provide participants with an introduction to methods for conducting systematic reviews and meta-analysis in health care.




Sessions will be delivered by ScHARR staff experienced in systematic review methods and health technology assessment. The course will be interactive and practical, with delivery of sessions based on lectures and individual and small group practical exercises.

When?

Monday 25th April (pm), Tuesday 26th April (am and pm), Tuesday 3rd May (am and pm) and Wednesday 4th May (pm). Specific times to be confirmed

The course comprises live online sessions, plus a series of short, self-directed exercises to be undertaken in addition to the live sessions.

Who will benefit from the course?

The course is suitable for researchers who require an introduction to methods for conducting systematic reviews in health care, and professionals who need to develop the ability to interpret and asses the quality of systematic reviews. The course is also suitable for:

  • Clinicians wanting to undertake their own systematic review
  • PhD students with a significant review component to their thesis
  • Members of academic systematic review teams
  • Pharmaceutical companies and consultancies requiring an understanding of review methods

No previous knowledge of systematic reviews or meta-analysis is assumed.

This course is relevant to anyone involved in systematic reviews. If you are specifically interested in qualitative evidence synthesis only, please see our ESQUIRE course.

Learning outcomes:

By the end of this course participants should be able to:

  • identify the key stages of the systematic review process
  • define a review question and understand how to develop a review protocol
  • describe methods for identifying sources of evidence for systematic reviews
  • develop a search strategy to identify relevant studies for a specific review question and understand how to conduct a literature search
  • apply inclusion criteria to identify relevant studies
  • undertake critical appraisal of evidence using standardised quality checklists
  • develop a data extraction form and extract relevant outcomes from reported studies
  • select appropriate methods of evidence synthesis and be able to describe and summarise key results
  • be familiar with statistical methods for analysis of quantitative data
  • explore the use of meta-analysis in data synthesis using computer software (RevMan)
  • understand potential sources of heterogeneity between included studies
  • be familiar with good practice in reporting of systematic reviews
  • critically appraise a systematic review.

Faculty

Professor Andrew Booth

                                                                                                                                                                             

Marrissa Martyn-St James

                

Other members of ScHARR staff to be confirmed

For more details and to book your place visit this page


Job vacancy at ScHARR - Research Associate in Statistics

Come join us at ScHARR! We have a job opportunity in HEDS for a Research Associate with a strong background in statistics/mathematics and an interest in Bayesian statistics and health technology assessment. 


Regent Court, home of ScHARR


Reference Number:  UOS032508

Salary: Grade 7

Details: Full-time and fixed-term until 31 March 2027

Closing Date: Sunday 1 May 2022 

The vacancy and ATJ can be found here.

To find out what makes the University of Sheffield a remarkable place to work, watch this short film and follow @sheffielduni and @ShefUniJobs on Twitter for more information.