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.

Thursday, 9 July 2020

New HEDS Discussion Paper - Development of the Microsimulation Model in Cancer of the Bowel (MiMiC-Bowel), an Individual Patient Simulation Model for Investigation of the Cost-effectiveness of Personalised Screening and Surveillance Strategies

New HEDS Discussion Paper - Development of the Microsimulation Model in Cancer of the Bowel (MiMiC-Bowel), an Individual Patient Simulation Model for Investigation of the Cost-effectiveness of Personalised Screening and Surveillance Strategies
Chloe Thomas, Olena Mandrik and Sophie Whyte

Picture of Chloe Thomas
Dr Chloe Thomas

Microsimulation Model in Cancer of the Bowel (MiMiC-Bowel) is an individual patient simulation model built in the R programming language, which has been designed to enable comparison of the effectiveness, cost-effectiveness and resource use of different personalised screening and surveillance strategies for colorectal cancer (CRC). The model simulates the life course of patients representing the population of England, who each have a set of individual characteristics which determines their cancer risk and response to screening and surveillance. The model has a lifetime horizon and takes an NHS perspective.

Download the HEDS Discussion Paper here

Monday, 6 July 2020

Latest Publications from HEDS in June


Here are the latest publications from April, including those 'In Press' by HEDS colleagues and their collaborators.

Cover of BMJ Global Health Journal
Cooper, C., Garside, R., Varley-Campbell, J., Talens-Bou, J., Booth, A. and Britten, N., 2020. ‘it has no meaning to me’. How do researchers understand the effectiveness of literature searches? A qualitative analysis and preliminary typology of understandings. Research Synthesis Methods. [online] Doi: https://www.ncbi.nlm.nih.gov/pubmed/32495989.

Davis, S., Simpson, E., Hamilton, J., James, M..-S., Rawdin, A., Wong, R., Goka, E., Gittoes, N. and Selby, P., 2020. Denosumab, raloxifene, romosozumab and teriparatide to prevent osteoporotic fragility fractures: a systematic review and economic evaluation. Health Technology Assessment, 24(29). Doi:https://doi.org/10.1016/j.bone.2019.115081.

·   Kharroubi, S.A., Beyh, Y., Abdul Fattah, E. and Young, T., 2020. The importance of accounting for parameter uncertainty in SF-6D value sets and its impact on studies that use the SF-6D to measure health utility. International Journal of Environmental Research and Public Health, [online] 17(11). Doi: 0.3390/ijerph17113949.
·        
Ku, C.-C., Chen, C.-C., Dixon, S., Lin, H.H. and Dodd, P.J., 2020. Patient pathways of tuberculosis care-seeking and treatment: an individual-level analysis of National Health Insurance data in Taiwan. BMJ Global Health, 5(6). http://dx.doi.org/10.1136/bmjgh-2019-002187 .

Maidment, I., Lawson, S., Wong, G., Booth, A., Watson, A., Zaman, H., Mullan, J., McKeown, J. and Bailey, S., 2020a. Towards an understanding of the burdens of medication management affecting older people : the MEMORABLE realist synthesis. BMC Geriatr, [online] 20(1). Doi: 10.1186/s12877-020-01568-x.

Maidment, I.D., Lawson, S., Wong, G., Booth, A., Watson, A., McKeown, J., Zaman, H., Mullan, J. and Bailey, S., 2020b. Medication management in older people: the MEMORABLE realist synthesis. Health Services and Delivery Research, 8(26). Doi: 10.3310/hsdr08260.

Moore, S., Allen, D., Amos, Y., Blake, J., Brennan, A., Buykx, P., Goodacre, S., Gray, L., Irving, A., O’Cathain, A., Sivarajasingam, V. and Young, T., 2020. Evaluating alcohol intoxication management services: the EDARA mixed-methods study. Health Services and Delivery Research, 8(24). Doi: 10.3310/hsdr08240.

Morgan, J., Holmes, G., Ward, S., Martin, C., Burton, M., Audisio, R., Leung-Cheung, K., Ring, A., Reed, M. and Wyld, L., 2020. P065: ‘Bridging the age gap in breast cancer’: An analysis of the decision-making preferences of older women with operable breast cancer in the UK. European Journal of Surgical Oncology, 46(6), pp.e28–e28. https://doi.org/10.1016/j.ejso.2020.03.104 .
Cover of European Journal of Surgical Oncology


Mshelia, S.E., Blackmore, C., Archer, R. and Booth, A., 2020. Factors affecting the successful implementation of Global Polio Eradication Initiative (GPEI) in low- and middle-income countries. Journal of Global Health, 10(1). Doi: 10.7189/jogh.10.010322.

Pennington, B.M., Hernández-Alava, M., Hykin, P., Sivaprasad, S., Flight, L., Alshreef, A. and Brazier, J., 2020. Mapping from visual acuity to EQ-5D, EQ-5D with vision bolt-on, and VFQ-UI in patients with macular edema in the LEAVO trial. Value in Health. Doi: https://doi.org/10.1016/j.jval.2020.03.008.

Tew, G.A., Allen, L., Askew, C.D., Chetter, I., Cucato, G., Doherty, P., Garnham, A., Harwood, A., Ingle, L., Jenkins, M., Michaels, J., Pittack, S., Seenan, C. and Trender, H., 2020. Infographic. Exercise for intermittent claudication. British Journal of Sports Medicine, (101930). Doi: http://dx.doi.org/10.1136/bjsports-2019-101930 .

Thokala, P., Dodd, P., Baalbaki, H., Brennan, A., Dixon, S. and Lowrie, K., 2020. Developing Markov models from real-world data: A case study of heart failure modeling using administrative data. Value in Health, 23(6), pp.743–750. Doi: https://doi.org/10.1016/j.jval.2020.02.012.

Vu, T.M., Buckley, C., Bai, H., Nielsen, A., Probst, C., Brennan, A., Shuper, P., Strong, M. and Purshouse, R.C., 2020. Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems. Complexity, 2020, pp.1–20. Doi: https://doi.org/10.1155/2020/8923197.

Winkley, K., Upsher, R., Stahl, D., Pollard, D., Kasera, A., Brennan, A., Heller, S. and Ismail, K., 2020. Psychological interventions to improve self-management of type 1 and type 2 diabetes: a systematic review. Health Technology Assessment, 24(28). Doi: 10.3310/hta24280.



Tuesday, 30 June 2020

5th National PROMS Annual UK Research Conference - 17th June 2021

Image of the PROMS Conference poster

 

Now in its 5th year, the annual PROMs Research Conference will take place at the University of Sheffield on Thursday 17th June 2021.  The conference focuses on researcher-led activities on methodologies around the development, testing and use of PROMs in different contexts and settings.  The event is organised by a scientific group including Professor Tracey Young (School of Health Related Research, University of Sheffield and NIHR ARC Yorkshire and Humber theme co-lead); Dr Trish Holch (Co-lead of the Centre for Psychological Research, Leeds Beckett University and Honorary Research Fellow, University of Leeds) and Dr Jill Carlton (School of Health Related Research, University of Sheffield).   Along with support from clinicians and academics from across the University of Sheffield. 

 

The event includes a mixture of plenary sessions, workshops, oral presentations and posters by PROMs researchers from across the UK and internationally. This event brings together leading experts and early career researchers to engage with the latest advances in the field of PROMs research and implementation. 

 All researchers, health care practitioners/clinicians and PhD students involved in PROMs research are invited to submit abstracts for oral and poster presentations. Calls for papers will open in autumn 2020.   

You can register your interest at ARC_HEEE@sheffield.ac.uk  We look forward to seeing you there.


Wednesday, 24 June 2020

Website of the Month for June - Aerialod

Every month we like to highlight a useful website, dataset or app that we think readers of this blog will find useful. This month we deviate from the path a little, following a stream of engaging Tweets by our own Colin Angus. Colin is an alcohol policy modeller in HEDS and has increasingly been expanding his modelling skills portfolio using a set of tools and data to model everything from his alcohol research to places he has climbed. If you follow Colin on Twitter you'll see a stream of eye catching models and visualisations, with many looking at the impact of COVID in various communities up and down the UK. His inspiration to carry out this work came from another Sheffield colleague, Professor Alasdair Rae from the Department of Urban Studies and Planning. Alasdair wrote a blog article earlier this year that explains how to visualise 3D landscapes and cities using a piece of free software called Aerialod. The original post is below and was published under a Creative Commons licence - many thanks to Alasdair for sharing.

Image of Stats, Maps n Pix Blog


Making 3D landscape and city models with Aerialod

This is my second post on Aerialod - the interactive path tracing 
renderer for height maps, by @ephtracy. It's available in 32 and 
64-bit versions on Windows and it's super-lightweight but you can
 do some really amazing things with it. My previous post covers 
more of the basics, including controls and interface settings, so 
here I'll share some more information on how to tweak the settings
 (of which there are many) to create nice looking vistas. But as a 
quick reminder, hold down your right mouse button to rotate the 
map and use the space bar plus the left mouse button to move it 
around. Scroll wheel to zoom in and out. Keyboard shortcuts are 
here.

First I'll show you some new visuals I created in Aerialod, then I'll 
show you some of the settings I used to create them - in 
screenshots and in a small slide set. All the images I've posted
below are in a shared folder, as well as a sample Lidar dataset for Cheddar Gorge in England that you can just drop in to Aerialod and
then tweak the settings as you wish. You can of course create these 
kinds of images in other software (notably Blender) but Aerialod
 is much easier to use, though can be confusing at first.
So, let's begin with the highest peaks in Scotland, England a
nd
Wales, plus one other view that I like.

I did this using a 5m DTM (not open data)

See the curved horizon? - that's the SG lens setting

A very nice looking mountain

I've added Glen Etive because it's so lovely

But of course we don't always have to map things like mountains. If we have good quality Lidar data, as we do in much of the UK, we can create quite interesting cityscapes, as you can see below.


Here's a little Salford Sunset to get things rolling

A Newcastle-Gateshead vista, along the Tyne

The example data I've put in the shared folder is of Cheddar Gorge in the south west of England, and it looks like this once you fiddle with a few settings.

Sun low in the sky, dusky effect

I've tweaked some of the settings here to make it glow

Different angle, light filtering through the gorge

A foggier, early morning effect

So how do you do all this?
If you've not used Aerialod before then you'll really need to read my first blog post on it in order to get to grips with the controls, etc. Once you've done this, look closely at the screenshots below as the settings in them show you how I achieved the effects in the four images above. Study them closely and then see further below for a short slide set with more annotation on the settings options in Aerialod.

Take some time to Google some of the different terms and they'll begin to make a lot more sense - e.g. the Rayleigh setting refers to Rayleigh scattering, which relates to the blue colour we see in the sky. So, using the default Rayleigh setting in Aerialod you'll see a blue sky but if you reduce the number to, say 10, it will become more blue and if you put it up to 90, for example, it will look a lot less blue and instead more like a lovely glowing orange/yellow sunset. 

This relates to the first Cheddar Gorge image

This also relates to the first image

Notice the glowing light at the corners here

This is the fourth Cheddar Gorge image above

In addition to reading this, it's a good idea to check out the @ephtracy Twitter account for other tips, plus the #aerialod hashtag on Twitter. There are also now a few good video tutorials online, including this one by Steven Scott.

Here is the small set of slides, with annotated screenshots, that I made in order to help you get to grips with the settings a little better - direct link here.




All this, including the data, can be found in the Aerialod tutorial folder I made for this short blog post. Just drag and drop the .asc file I provided into Aerialod and start playing around.

I've put everything in here

The information above should be all you need to create more realistic, impressive 3D landscape or city models. It all depends of course upon being able to get good quality data at a high resolution - I've provided an example in the folder, but you can get a lot more on the Defra Lidar download page for England. You can use the OpenDem searcher to find suitable data for other parts of the world.

To end, I'm just going to post a few more images that I haven't shared anywhere else before, before a few final comments.


This is done by keeping the 'Map' option on in Grid settings

In the example above, I have all the options on in the Grid settings (Map, Ground, Vertical) and then I have used a value in the 'Step' settings on the right to match the resolution of the underlying data (in this case 5 metres) so that I get a blocky kind of effect - see below.


This works if you want to Minecraft your map

The Western Highlands of Scotland

In the image above, I just used a 1:50,000 Land-Form dataset shared by Carol Blackwood to render the Western Highlands of Scotland - I added the labels using GIMP. You can get the individual tiles as open data from Ordnance Survey as well (OS Terrain 50).


This city is home to two football teams, as you can see here

In the example above, I've just taken some Lidar open data of Liverpool and created a view looking down on Anfield and Goodison - home to Liverpool and Everton respectively. They are very close together and the densely packed terraced housing nearby also makes for an interesting example use case with this kind of data.

And, last but not least, St Kilda - a very wild and remote archipelago off the Western Isles of Scotland that is now a World Heritage Site.


In this example, I've added some fog

Notes: you can add a single file to Aerialod (it can handle PNG, JPG, TIF, IMG and ASC formats) or you can add multiple files at once using the little button on the top right that looks like a folder. That is covered in my previous blog post. If you try to load humongous bytes of data then it may crash. Sometimes it won't crash but just won't load. Generally I find it just works and the Scotland 1:50,000 terrain model above is over 600MB and worked fine for me. Just remember that when you hover over any of the tools in Aerialod you will get information on what it is and what it does at the bottom of the window. 

Citation: Blackwood, Carol. (2017). Scotland Land-Form PANORAMA® DTM, [Dataset]. EDINA. https://doi.org/10.7488/ds/1929.

Tuesday, 23 June 2020

EEPRU Publication: Economic analysis of the prevalence and clinical and economic burden of medication error in England


Economic analysis of the prevalence and clinical and economic burden of medication error in England


This paper's objective is to provide national estimates of the number and clinical and economic burden of medication errors in the National Health Service (NHS) in England.



To read the publication, please click here.

For the project page, please click here.


To sign up to the EEPRU mailing list, please visit http://www.eepru.org.uk/ and scroll down to "subscribe".

Monday, 22 June 2020

New Instructions for the remote use of ReQoL-10 ReQoL-20 during routine clinical contact


For many mental health professionals, the coronavirus pandemic will have had a profound impact on their clinical practice which may now include a greater number of online or telephone contacts. For many, the collection of patient reported outcome measures (PROMs) such as ReQoL is an important and integral part of the support they offer. In response to queries from members of our Community of Practice, we have developed guidance on the practicalities of collecting ReQoL remotely (e.g. via telephone or video link). We hope that, in the coming months, as we all get to grips with new communication platforms and different ways of working, we can continue to use the CoP on-line forum to share what is working and learn from each other.

The following instructions are for the use of ReQoL-10 and ReQoL-20 questionnaires during remote clinical contact (i.e. routine clinical contact via telephone or video). These instructions are intended for use by healthcare professionals.

Please download the instructions here.

The instructions have been developed with our partners from Oxford University Innovation (UoO) who manage the ReQoL licence. Our ScHARR contact is Dr Lizzie Taylor Buck.


Tuesday, 16 June 2020

Join us for our next Online Open Day - 14th July - 12pm GMT

Image of a student at a computer
ScHARR is well known as a provider of excellent online learning programmes in public health, health management and health technology assessment. With the current shift to home-working for many people, the possibility of also learning from home is an opportunity worth considering. Our online programmes at ScHARR meet the same high academic standard as our campus-based programmes here at the University of Sheffield. As a top 100 international university, we ensure our online programmes are rigorous and engaging, but also flexible, enabling students to combine study with work and other commitments. 

Thanks to our in-house learning technologists, we are able to use a range of teaching techniques including recorded lectures, live webinars, interactive quizzes and content pages and more to provide an engaging learning experience which still allows students to interact with their fellow online students. Our programmes are taught by highly experienced international researchers and tutors with a passion for online teaching.

Our graduates go on to a range of careers with healthcare, the pharmaceutical industry, NGOs, and healthcare consulting, having developed both a sound theoretical knowledge and highly practical applied skills which are highly valued by employers. 

If you'd like to learn more about studying online with ScHARR, sign up for one of our upcoming webinars- the next is on 14th July, 12pm UK time.

Thursday, 11 June 2020

Study team appointed for the new UK EQ-5D-5L valuation study

Image of Dr Donna Rowen
Dr Donna Rowen from ScHARR has been appointed as Principal investigator for the new UK EQ-5D-5L valuation study. The ScHARR team also includes Dr Clara Mukuria and Professor John Brazier. ScHARR will be collaborating with researchers from Bangor University, PHMR, Queens University Belfast, University of Leeds and University of Oxford. ScHARR is one of the collaborating sites conducting interviews.

Image of https://euroqol.org/ website

The Principal Investigator, Donna Rowen, welcomed the appointments; “The UK research team working across 6 sites are looking forward to collaborating together to generate the much needed EQ-5D-5L value set for the UK.” 

The Steering Group has representatives from National Institute for Health and Care Excellence (NICE), Department of Health and Social Care, NHS England, the EuroQol Research Foundation and academic experts. Independent Quality Control will be built in to every stage of the project. Data collection is expected to begin in early 2021.

For further details including the wider study team see:

The following is taken from the Euroqol website

NICEs current position on EQ-5D-5L: Prior to the completion and publication of the new valuation study, the interim position in England regarding the use of the EQ-5D-5L for companies, academic groups, and others preparing evidence submissions for NICE can be viewed on their website.

Steering Group: The Steering Group comprises representatives from the EuroQol Research Foundation, National Institute for Health and Care Excellence (NICE), Department of Health and Social Care, NHS England and academic experts. The list of members can be found on the Blog.

About valuation studies: The new valuation study will provide a UK value set for the EQ-5D-5L. The value set will provide values (weights) for EQ-5D-5L health state descriptions according to the preferences of the UK general population. These are used in the calculation of quality adjusted life years (QALYs) that inform economic evaluations of healthcare interventions.

About EuroQol: The EuroQol Group is committed to supporting scientific endeavours that further the measurement and valuation of health and advance the use of measures like the EQ-5D-5L to benefit patients and inform decision makers

https://euroqol.org/


Monday, 8 June 2020

'Evidence-based injustices' by Jonathan Michaels, Honorary Professor of Clinical Decision Science

Picture of Professor Jonathan Michaels
Professor Jonathan Michaels    


This blog post originated in the Journal of Medical Ethics. The published version is available at: https://blogs.bmj.com/medical-ethics/2020/05/29/evidence-based-injustices/

 In healthcare, and many other areas of endeavour, policy and guidance claims legitimacy on the basis that it is evidence-based and follows the best scientific advice. Expert advisory committees collect, consider    and interpret extensive, and often complex, scientific   evidence. As we have seen in the diverse responses to Covid-19, evidence and expertise does not necessarily lead to purely ‘objective’ responses or unequivocal decisions. Instead, it may provide a veneer of scientific authority that masks a host of underlying subjective influences, uncertainties, biases, and value judgements.

Over my career as a vascular surgeon I developed an interest in decision theory, perhaps in the expectation that it would give me reassurance in the complex decisions affecting life and limb that the specialty demands. Instead, rather than providing clarity in such questions, it helped to highlight the underlying structure of decisions, which depend both upon predictive evidence and the value judgements inherent in dealing with uncertainty and the necessary trade-offs between potentially conflicting objectives. Through this interest I became involved in the development of guidelines and technology appraisals carried out by the National Institute of Health and Care Excellence (NICE) in the UK.

Over the years, I observed the growing political and commercial influence on all aspects of such processes, from the selection of subject matter, through the generation and interpretation of evidence, to the value frameworks and decision-making criteria that determine the final outcomes. Complex decision-making processes, a culture of expertise, formal and bureaucratic processes and an extensive ‘case-law’ have developed over the years. This has the effect of excluding those without the necessary background knowledge, economic resources and academic credibility from contributing to, or challenging, such decisions.

A few years ago, I came across Miranda Fricker’s description of epistemic injustice. She suggests that “there is a distinctively epistemic genus of injustice, in which someone is wronged specifically in their capacity as a knower”. This results in individuals or groups being systematically disadvantaged through exclusion from the processes that generate the knowledge upon which so many decisions depend. This resonated with my own experience of the way in which evidence-based principles appear to be applied in healthcare decisions, particularly those involving rationing of scarce resources.

In exploring the principles of distributive and procedural justice that underpin healthcare policy and guidance, I highlight the factors that may lead to injustices and consider how these might be addressed. Evidential failures may occur due to distortion in the selection of subject matter for research, the limitations of preferred research methods, the choice of comparators and outcome measures, or the reporting and interpretation of results. Epistemic exclusion may result in the failure of guidance to reflect the interests and values of particular patient, service-user, societal or professional groups. Opportunities to contribute to or challenge decisions may be inaccessible to those most likely to be disadvantaged by the outcome.

Apart from the many underlying biases and distortions that are inherent in the published evidence, there are implicit and explicit value judgements in the decision-making processes that may remain obscured or reflect unwarranted epistemic privilege assigned to particular groups. Some of the potential remedies, such as the regulation of trial design and transparent reporting, are well documented, but still fail to be implemented. Significant improvement in other aspects may require a fundamental shift in the research agenda to reflect areas of societal concern, greater emphasis on independent evaluation of all the evidence, including explicit adjustment for likely biases, and a means to represent the interests of marginalised or excluded stakeholders.

Download the full paper from the Journal of Medical Ethics: 
https://jme.bmj.com/content/early/2020/05/26/medethics-2020-106171


Thursday, 4 June 2020

Latest Publications from HEDS in May


Once again we explore what new publications have been produced by HEDS in collaboration with colleagues in ScHARR and further afield. Many of these are currently in press, so you can find much of our work in its open access form via our institutional repository. You can view them and many others here.


British journal of clinical pharmacology cover
British Journal of Clinical Pharmacology 
Chambers, D., Cantrell, A., Baxter, S., Turner, J. and Booth, A., 2020. Effects of service changes affecting distance / time to access urgent and emergency care facilities on patient outcomes : a systematic review. BMC Medicine, 18(1). Doi: 10.1186/s12916-020-01580-3

Davies, M., Kristunas, C.A., Huddlestone, L., Alshreef, A., Bodicoat, D., Dixon, S., Eborall, H., Glab, A., Hudson, N., Khunti, K., Martin, G., Northern, A., Patterson, M., Pritchard, R., Schreder, S., Stribling, B., Turner, J. and Gray, L.J., 2020. Increasing uptake of structured self-management education programmes for type 2 diabetes in a primary care setting: a feasibility study. Pilot and Feasibility Studies, 6(1). Doi: 10.1186/s40814-020-00606-0

Emery, K., Roy, S., Thokala, P., Partridge, L., Garg, P., MacNeil, S., Monk, P. and Karunakaran, E., 2020. Establishing a porcine ex vivo cornea model for studying drug treatments against bacterial keratitis. Journal of Visualized ExperimentsDoi:10.3791/61156   

Keetharuth, D. and Rowen, D., 2020. Mapping the Health of Nation Outcomes Scale (HoNOS) onto the Recovering Quality of Life Utility Index (ReQoL-UI). School of Health and Related Research, University of Sheffield. http://eprints.whiterose.ac.uk/160930/

Keetharuth, D., Rowen, D., Bjorner, J.B. and Brazier, J., 2020. Estimating a Preference-Based Index for mental health from the Recovering Quality of Life (ReQoL) measure: Valuation of ReQoL-UI. Sheffield: School of Health and Related Research, University of Sheffied. http://eprints.whiterose.ac.uk/160447/

MartynSt James, M., Faria, R., Wong, R. and Scope, A., 2020. Evidence for the impact of interventions and medicines reconciliation on problematic polypharmacy in the UK: a rapid review of systematic reviews. British Journal of Clinical Pharmacologyhttp://eprints.whiterose.ac.uk/161268/

Michaels, J., 2020. Potential for epistemic injustice in evidence-based healthcare policy and guidance. Journal of Medical Ethics. Doi: 0.1136/medethics-2020-106171 
Journal of Medical Ethic cover
Journal of Medical Ethics


Palmer, R., Dimairo, M., Latimer, N., Cross, E., Brady, M., Enderby, P., Bowen, A., Julious, S., Harrison, M., Alshreef, A., Bradley, E., Bhadhuri, A., Chater, T., Hughes, H., Witts, H., Herbert, E. and Cooper, C., 2020. Computerised speech and language therapy or attention control added to usual care for people with long-term post-stroke aphasia : the Big CACTUS three-arm RCT. Health Technology Assessment, 24(19), pp.1–176. Doi: 10.3310/hta24190

Rogers, H.J., Gilchrist, F., Marshman, Z., Rodd, H.D. and Rowen, D., 2020. Selection and validation of a classification system for a child-centred caries-specific utility measure. School of Health and Related Research, University of Sheffield. http://eprints.whiterose.ac.uk/160762/

Rutter, M.D., Bretthauer, M., Hassan, C., Jover, R., Adami, H.-O., Corley, D.A., Cubiella, J., Cross, A.J., Evelien Dekker, P.D., Gupta, S., Kalager, M., Løberg, M., Matsuda, T., Moss, A., Pellisé, M., Rabeneck, L., Rex, D.K., Schoen, R., Senore, C. and Whyte, D.S., 2020. Principles for Evaluation of Surveillance After Removal of Colorectal Polyps: Recommendations From the World Endoscopy Organization. Gastroenterology, 158(6), pp.1529-1533.e4. Doi: 10.1053/j.gastro.2019.12.052

Journal of the Endocrine Society cover
Journal of the Endocrine Society
Taylor Buck, E., Smith, C.M., Lane, A., Keetharuth, A.D., Young, T. and Cooke, J., 2020. Use of a modified World Café process to discuss and set priorities for a Community of Practice supporting implementation of ReQoL a new mental health and quality of life Patient Reported Outcome Measure (PROM). Journal of Patient-Reported Outcomes, 4(1). https://doi.org/10.1186/s41687-020-00202-z

Vilaca, T., Schini, M., Harnan, S., Poku, E., Cummings, S.R. and Eastell, R., 2020. SUN-622 The Risk of Hip and Non-Vertebral Fractures in Diabetes: A Systematic Review and Meta-Analysis Update. Journal of the Endocrine Society, 4(Supplement_1). Doi: 10.1210/jendso/bvaa046.1684

Yuen, C.M., Seddon, J.A., Keshavjee, S. and Dodd, P.J., 2020. Risk-benefit analysis of tuberculosis infection testing for household contact management in high-burden countries : a mathematical modelling study. The Lancet Global Health, 8, pp.e672–e680. https://doi.org/10.1016/S2214-109X(20)30075-9