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.
Showing posts with label HEDS. Show all posts
Showing posts with label HEDS. Show all posts

Monday, 28 November 2022

Job vacacy at ScHARR - Research Programme Coordinator

The Health Economics and Decision Science (HEDS) Section are currently advertising for a Research Programme Coordinator to the National Institute for Health and Care Excellence (NICE) funded Decision Support Unit (DSU) and The Policy Research Unit in Economic Evaluation of Health and Social Care Interventions (EEPRU).


ScHARR, Regent Court



Job Reference Number: UOS035392

Contract Type: Fixed-term for 28 months

Working Pattern: Part-time, working 24.5 hours per week, days of working to be agreed

Faculty: Faculty of Medicine

Department: Health Economics and Decision Science (HEDS)

School of Health and Related Research (ScHARR)

Salary: Grade 6: £28,762 - £33,314 per annum pro-rata. Potential to progress to

£36,386 per annum through sustained exceptional contribution

Closing Date: 5th December 2022

 

The vacancy and ATJ can be found can be found here.

Friday, 4 November 2022

Latest HEDS Publications - August to October 2022

Here is our regular monthly trawl for new publications from HEDS in collaboration with colleagues in ScHARR and further afield. Many of these are currently in press, you can find much of our work in its open access form via our institutional repository. Find them here

Hnynn Si, P.E., Gair, R., Barnes, T., Dunn, L., Lee, S., Ariss, S., Walters, S.J., Wilkie, M. and Fotheringham, J., 2022. Symptom burden according to dialysis day of the week in three times a week haemodialysis patients. PloS one17(9), https://doi.org/10.1371/journal.pone.0274599


Mayland, C. R., Sunderland, K. A., Cooper, M., Taylor, P., Powell, P. A., Zeigler, L. & Fraser, L. K. (2022). Measuring quality of dying, death and end-of-life care for children and young people: A scoping review of available tools. Palliative medicine36(8), 1186-1206. https://doi-org.sheffield.idm.oclc.org/10.1177/02692163221105599



Gray, Laura A., Penny R. Breeze, and Elizabeth A. Williams. "BMI trajectories, morbidity, and mortality in England: a two‐step approach to estimating consequences of changes in BMI." Obesity 30.9 (2022): 1898-1907. https://doi-org.sheffield.idm.oclc.org/10.1002/oby.23510


Beyer, F.R., Kenny, R.P., Johnson, E., Caldwell, D.M., Garnett, C., Rice, S., Simpson, J., Angus, C., Craig, D., Hickman, M. and Michie, S., 2022. Practitioner and digitally delivered interventions for reducing hazardous and harmful alcohol consumption in people not seeking alcohol treatment: a systematic review and network meta‐analysis. Addiction. https://doi-org.sheffield.idm.oclc.org/10.1111/add.15999



McGrath, M., Gray, L. A., Rek, B., Davies, K. C., Savage, Z., McLean, J., ... & Zahedi, S. (2022). Can microprocessor knees reduce the disparity in trips and falls risks between above and below knee prosthesis users?. PloS one17(9), e0271315. https://doi.org/10.1371/journal.pone.0271315



See-Toh, R. S. E., Wong, X. Y., Mahboobani, K. S. K. H., Soon, S. S., Kearns, B., Cooper, K., ... & Ng, K. (2022). Cost-effectiveness of transcatheter aortic valve implantation in patients with severe symptomatic aortic stenosis of intermediate surgical risk in Singapore. BMC health services research22(1), 1-12. https://doi.org/10.1186/s12913-022-08369-5


Keetharuth, A.D., Hussain, H., Rowen, D. et al. Assessing the psychometric performance of EQ-5D-5L in dementia: a systematic review. Health Qual Life Outcomes 20, 139 (2022). https://doi.org/10.1186/s12955-022-02036-3


Daniels, S. L., Morgan, J., Lee, M. J., Wickramasekera, N., Moug, S., Wilson, T. R., ... & Wyld, L. (2022). Surgeon preference for treatment allocation in older people facing major gastrointestinal surgery: an application of the discrete choice experiment methodology. Colorectal Disease. https://doi-org.sheffield.idm.oclc.org/10.1111/codi.16296



Angus, Colin. "Evidence to inform effective alcohol pricing policies in the European Union." medRxiv (2022). https://doi.org/10.1101/2022.07.28.22277988


Maheswaran R, Tong T, Michaels J, Brindley P, Walters S, Nawaz S. Socioeconomic disparities in abdominal aortic aneurysm repair rates and survival. Br J Surg. 2022 Sep 9;109 (10):958-967. doi: 10.1093/bjs/znac222. https://doi.org/10.1093/bjs/znac222



Cardoso Pinto, A., Ranasinghe, L., Dodd, P. J., Budhathoki, S. S., Seddon, J. A., & Whittaker, E. (2022). Disruptions to routine childhood vaccinations in low-and middle-income countries during the COVID-19 pandemic: A systematic review. Frontiers in pediatrics, 1349. file:///C:/Users/cm4mjb/Downloads/fped-10-979769.pdf



Palmer S, Borget I, Friede T, Husereau D, Karnon J, Kearns B, Medin E, Peterse EFP, Klijn SL, Verburg-Baltussen EJM, Fenwick E, Borrill J. A Guide to Selecting Flexible Survival Models to Inform Economic Evaluations of Cancer Immunotherapies. Value Health. 2022 Aug 13:S1098-3015(22)02105-2. https://doi-org.sheffield.idm.oclc.org/10.1016/j.jval.2022.07.009



Angus, C., Holmes, J., Purshouse, R., Meier, P. S., & Brennan, A. (2022). Does your measure matter? A comparison of alcohol availability measures in Great Britain. medRxiv. doi: https://doi.org/10.1101/2022.08.18.22278948



Jung S, Uttley L, Huang J. Housing With Care for Older People: A Scoping Review Using the CASP Assessment Tool to Inform Optimal Design. HERD: Health Environments Research & Design Journal. 2022; 15 (4):299-322. doi:10.1177/19375867221113359


Broadley M, Chatwin H, Søholm U, Amiel SA, Carlton J, De Galan BE, Hendrieckx C, McCrimmon RJ, Skovlund SE, Pouwer F, Speight J; Hypo-RESOLVE Consortium. The 12-Item Hypoglycemia Impact Profile (HIP12): psychometric validation of a brief measure of the impact of hypoglycemia on quality of life among adults with type 1 or type 2 diabetes. BMJ Open Diabetes Res Care. 2022 Aug; 10 (4):e002890. doi: 10.1136/bmjdrc-2022-002890


Howdon, D., Hinde, S., Lomas, J., & Franklin, M. (2022). Economic evaluation evidence for resource-allocation decision making: bridging the gap for local decision makers using English case studies. Applied Health Economics and Health Policy20(6), 783-792. https://doi-org.sheffield.idm.oclc.org/10.1007/s40258-022-00756-7



Powell, P.A., Carlton, J. A comprehensive qualitative framework for health-related quality of life in Duchenne muscular dystrophy. Qual Life Res (2022). https://doi.org/10.1007/s11136-022-03240-w


Metcalfe D, Parsons NR, Costa ML. Sterile versus non-sterile gloves for traumatic wounds in the ED. Emerg Med J. 2022 Sep; 39(9):648-649. doi: 10.1136/emermed-2022-212517


Oortwijn W, Husereau D, Abelson J, Barasa E, Bayani DD, Canuto Santos V, Culyer A, Facey K, Grainger D, Kieslich K, Ollendorf D, Pichon-Riviere A, Sandman L, Strammiello V, Teerawattananon Y. Designing and Implementing Deliberative Processes for Health Technology Assessment: A Good Practices Report of a Joint HTAi/ISPOR Task Force. Value Health. 2022 Jun;25(6):869-886. doi: 10.1016/j.jval.2022.03.018


Schurz, H., Naranbhai, V., Yates, T., Gilchrist, J., Parks, T., Dodd, P., …& Yang, Y. (2022). Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture. medRxiv. doi: https://doi.org/10.1101/2022.08.26.22279009



Beecher C, Toomey E, Maeso B, Whiting C, Stewart DC, Worrall A, Elliott J, Smith M, Tierney T, Blackwood B, Maguire T, Kampman M, Ling B, Gill C, Healy P, Houghton C, Booth A, Garritty C, Thomas J, Tricco AC, Burke NN, Keenan C, Devane D. Priority III: top 10 rapid review methodology research priorities identified using a James Lind Alliance Priority Setting Partnership. J Clin Epidemiol. 2022 Aug 28;151:151-160. doi: 10.1016/j.jclinepi.2022.08.002


Pandor A, Daru J, Hunt BJ, Rooney G, Hamilton J, Clowes M, Goodacre S, Nelson-Piercy C, Davis S. Risk assessment models for venous thromboembolism in pregnancy and in the puerperium: a systematic review. BMJ Open. 2022 Oct 12;12(10):e065892. doi: 10.1136/bmjopen-2022-065892



Evans C, Evans K, Booth A, et alRealist inquiry into Maternity care @ a Distance (ARM@DA): realist review protocol BMJ Open 2022;12:e062106. doi: 10.1136/bmjopen-2022-062106


Campbell, F., Blank, L., Cantrell, A. et al. Factors that influence mental health of university and college students in the UK: a systematic review. BMC Public Health 22, 1778 (2022). https://doi.org/10.1186/s12889-022-13943-x



Tuck CZ, Akparibo R, Gray LA, et alWhat influences cancer treatment service access in Ghana? A critical interpretive synthesis BMJ Open 2022;12:e065153. doi: 10.1136/bmjopen-2022-065153


Cooper, C., Booth, A., Husk, K., Lovell, R., Frost, J., Schauberger, U., Britten, N., & Garside, R. (2022). A Tailored Approach: A model for literature searching in complex systematic reviews. Journal of Information Science, 0(0). https://doi.org/10.1177/01655515221114452



Lu H, Zhang C, Wu W, et al. MCPIP1 restrains mucosal inflammation by orchestrating the intestinal monocyte to macrophage maturation via an ATF3-AP1S2 axisGut Published Online First: 08 September 2022. doi: 10.1136/gutjnl-2022-327183


Saßmannshausen, M., Behning, C., Isselmann, B. et al. Relative ellipsoid zone reflectivity and its association with disease severity in age-related macular degeneration: a MACUSTAR study report. Sci Rep 12, 14933 (2022). https://doi.org/10.1038/s41598-022-18875-5



Ahern AL, Breeze P, Fusco F, Sharp SJ, Islam N, Wheeler GM, Hill AJ, Hughes CA, Duschinsky R, Thomas C, Bates S, Woolston J, Stubbings M, Whittle F, Boothby C, Bostock J, Jebb S, Aveyard P, Boyland E, Halford JCG, Morris S, Brennan A, Griffin SJ. Effectiveness and cost-effectiveness of referral to a commercial open group behavioural weight management programme in adults with overweight and obesity: 5-year follow-up of the WRAP randomised controlled trial. Lancet Public Health. 2022 Oct;7(10):e866-e875. doi: 10.1016/S2468-2667(22)00226-2


Kik J, Heijnsdijk EAM, Mackey AR, et al. Availability of data for cost-effectiveness comparison of child vision and hearing screening programmes. Journal of Medical Screening. 2022;0(0). doi:10.1177/09691413221126677


Carmona, C., Baxter, S. & Carroll, C. The conduct and reporting of qualitative evidence syntheses in health and social care guidelines: a content analysis. BMC Med Res Methodol 22, 267 (2022). https://doi.org/10.1186/s12874-022-01743-1


Munn Z, Pollock D, Barker TH, et alThe Pandora’s Box of Evidence Synthesis and the case for a living Evidence Synthesis TaxonomyBMJ Evidence-Based Medicine Published Online First: 14 October 2022. doi: 10.1136/bmjebm-2022-112065


Dodd, Pete, et al. "Transmission modeling to infer tuberculosis incidence, prevalence, and mortality in settings with generalized HIV epidemics." medRxiv (2022). doi: https://doi.org/10.1101/2022.10.07.22280817



Tesfaye S, Sloan G, Petrie J, White D, Bradburn M, Young T, Rajbhandari S, Sharma S, Rayman G, Gouni R, Alam U, Julious SA, Cooper C, Loban A, Sutherland K, Glover R, Waterhouse S, Turton E, Horspool M, Gandhi R, Maguire D, Jude E, Ahmed SH, Vas P, Hariman C, McDougall C, Devers M, Tsatlidis V, Johnson M, Bouhassira D, Bennett DL, Selvarajah D. Optimal pharmacotherapy pathway in adults with diabetic peripheral neuropathic pain: the OPTION-DM RCT. Health Technol Assess. 2022 Oct;26(39):1-100. doi: 10.3310/RXUO6757



Dowd, J. B., Angus, C., Zajacova, A., & Tilstra, A. (2022). Mid-life'Deaths of Despair'Trends in the US, Canada, and UK, 2001-2019: Is the US an Anomaly?. medRxiv. doi: https://doi.org/10.1101/2022.10.10.22280916



Rickman, H.M., Kamchedzera, W., Schwalb, A., Phiri, M.D., Ruhwald, M., Shanaube, K., Dodd, P.J., Houben, R.M., Corbett, E.L. and MacPherson, P., 2022. Know your tuberculosis epidemic–Is it time to add Mycobacterium tuberculosis immunoreactivity back into global surveillance?. PLOS Global Public Health2(10), p.e0001208. https://doi.org/10.1371/journal.pgph.0001208




Tuesday, 18 October 2022

Job vacancy - Research Assistant/Research Associate

We are currently advertising for a Research Assistant/Associate who will work on applied and methodological research projects relating to interventions for obesity and prevention of diabetes and cardiovascular disease. 



ScHARR, Regent Court


Job Reference Number: UOS034891

Job Title: Research Assistant/Research Associate

Contract Type: Fixed-term for 2 years

Faculty: Faculty of Medicine

Department: Health Economics and Decision Science (HEDS), School of Health and Related Research (ScHARR)

Salary: Grade 6: £28,762 - £33,314 per annum pro-rata. Potential to progress to
£36,386 per annum through sustained exceptional contribution.
Grade 7: £35,333 - £43,414 per annum pro-rata. Potential to progress to
£47,423 per annum through sustained exceptional contribution.

Closing Date: 26th October 2022

The vacancy and ATJ can be found can be found here

We have an exciting opportunity in the Health Economics and Decision Science (HEDS) section in the School of Health and Related Research (ScHARR)) to join the team at the forefront of development of public health economic modelling and microsimulation.

As a Research Assistant/Associate in Health Economic Modelling, you will work on applied and methodological research projects relating to interventions for obesity and prevention of diabetes and cardiovascular disease.

In addition to working to develop quantitative analyses of obesity interventions, you will contribute to the writing of research and consultancy proposals, and to the dissemination of research findings in peer-reviewed publications, at conferences and to non-academic audiences, as well as to the development and delivery of Masters level teaching, supervision of postgraduate students and the provision of other types of training.

Ideally you should have a track record of publication in peer-reviewed journals and conference presentation. You should have a Masters Degree or equivalent in a numerate subject, for example, mathematics, operational research, statistics or economics.

We are committed to enabling our employees to work in a hybrid model with flexibility over when, where and how to achieve the required outputs, in discussion with your manager.

We are committed to exploring flexible working opportunities which benefit the individual and University. We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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. 

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, 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, 3 March 2022

HESG2022 - Summer Conference - Sheffield 22nd - 24th June

 

HESG2022 - Summer Conference - Sheffield
22-24 June 2022

 Celebrating 50 years of HESG

www.sheffield.ac.uk/scharr/hesg-2022

Conference registration and abstract submission now open! 

Please visit the HESG website to submit an abstract by   Friday 25th March


Register here to book your place at the 100th Health Economists' Study Group (HESG) meeting, hosted by ScHARR HEDS on Wednesday 22nd to Friday 24th June 2022. Early bird rates are available until Saturday 30th April. 

We are delighted to announce that we will be holding an ECR workshop, 'Introduction to Machine Learning for Causal Inference', on the morning of Wednesday 22nd June, for ECRs attending the conference. 

The conference will be held at the Best Western Plus The Quays Hotel on Sheffield's historic Victoria Quays. Further details can be found on our conference webpage, which is updated regularly. 

If you have any questions, please contact us at 
hesg-summer-2022@sheffield.ac.uk 

We look forward to welcoming you to Sheffield this summer! 

HESG Conference Planning Committee
@HESG2022Shef

Thursday, 20 January 2022

Latest HEDS publications for December 2021

Here is our regular monthly trawl for new publications from HEDS in collaboration with colleagues in ScHARR and further afield. Many of these are currently in press, you can find much of our work in its open access form via our institutional repository. Find them here

Afferri, A., Allen, H., Booth, A., Dierickx, S., Pacey, A., & Balen, J. (n.d.). Barriers and facilitators for          the inclusion of fertility care in reproductive health policies in Africa: a qualitative evidence       synthesis. Human Reproduction Update. https://doi.org/10.1093/humupd/dmab040

Coolen, M., Broadley, M., Hendrieckx, C., Chatwin, H., Clowes, M., Heller, S., de Galan, B. E., Speight, J., & Pouwer, F. (2021). The impact of hypoglycemia on quality of life and related outcomes in children and adolescents with type 1 diabetes: a systematic review. PLoS ONE, 16(12). https://doi.org/10.1371/journal.pone.0260896

Delaney, R. K., Pinto, N. M., Ozanne, E. M., Stark, L. A., Pershing, M. L., Thorpe, A., Witteman, H. O., Thokala, P., Lambert, L. M., Hansen, L. M., Greene, T. H., & Fagerlin, A. (2021). Study protocol for a randomised clinical trial of a decision aid and values clarification method for parents of a fetus or neonate diagnosed with a life-threatening congenital heart defect. BMJ Open, 11(12). https://doi.org/10.1136/bmjopen-2021-055455

Dodd, P. J., Osman, M., Cresswell, F. V, Stadelman, A. M., Lan, N. H., Thuong, N. T. T., Muzyamba, M., Glaser, L., Dlamini, S. S., & Seddon, J. A. (2021). The global burden of tuberculous meningitis in adults : a modelling study. PLoS Global Public Health, 1(12). https://doi.org/10.1371/journal.pgph.0000069

El Badri, S., Tahir, B., Balachandran, K., Bezecny, P., Britton, F., Davies, M., Desouza, K., Dixon, S., Hills, D., Moe, M., Pigott, T., Proctor, A., Shah, Y., Simcock, R., Stansfeld, A., Synowiec, A., Theodoulou, M., Verrill, M., Wadhawan, A., … Wilson, C. (2021). Palbociclib in combination with aromatase inhibitors in patients ≥ 75 years with oestrogen receptor-positive, human epidermal growth factor receptor 2 negative advanced breast cancer : a real-world multicentre UK study. The Breast, 60, 199–205. https://doi.org/10.1016/j.breast.2021.10.010

Flight, L., Julious, S., Brennan, A., & Todd, S. (2021). Expected value of sample information to guide the design of group sequential clinical trials. Medical Decision Making. https://doi.org/10.1177/0272989x211045036

Hesam‐Shariati, N., Chang, W., Wewege, M. A., McAuley, J. H., Booth, A., Trost, Z., Lin, C., Newton‐John, T., & Gustin, S. M. (n.d.). The analgesic effect of electroencephalographic neurofeedback for people with chronic pain: A systematic review and meta‐analysis. European Journal of Neurology. https://doi.org/10.1111/ene.15189

Kwon, J., Squires, H., Franklin, M., Lee, M. Y., & Young, T. (n.d.). Economic Models of Community-Based Falls Prevention: A Systematic Review With Subsequent Commissioning And Methodological Recommendations. Research Square Platform LLC. https://doi.org/10.21203/rs.3.rs-1090843/v1 (preprint)

Lau, K., Diitriadis, P. A., Mitchell, C., Martyn-St-James, M., Hind, D., & Ray, J. (n.d.). Age-related hearing loss and mild cognitive impairment: a meta-analysis and systematic review of population-based studies. The Journal of Laryngology & Otology, 1–33. https://doi.org/10.1017/s0022215121004114

Mandrik, O., Thomas, C., Whyte, S., & Chilcott, J. (2022). CALIBRATING NATURAL HISTORY OF CANCER MODELS IN THE PRESENCE OF DATA INCOMPATIBILITY; PROBLEMS AND SOLUTIONS. PharmacoEconomics. https://link-springer-com.sheffield.idm.oclc.org/article/10.1007/s40273-021-01125-3 

Murray, E. J., Dodd, P. J., Marais, B., Ayles, H., Shanaube, K., Schaap, A., White, R. G., & Bond, V. (2021). Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia. BMJ Open, 11(12). https://doi.org/10.1136/bmjopen-2020-047136

Pollard, D., Fuller, G., Goodacre, S., van Rein, E. A. J., Waalwijk, J. F., & van Heijl, M. (n.d.). An economic evaluation of triage tools for patients with suspected severe injuries in England. BMC Emergency Medicine. https://assets.researchsquare.com/files/rs-504608/v1/deae977d-e599-4b25-8895-5906d455efe1.pdf?c=1631883095

Rosário, F., Vasiljevic, M., Pas, L., Angus, C., Ribeiro, C., & Fitzgerald, N. (n.d.). Efficacy of a theory‐driven program to implement alcohol screening and brief interventions in primary health care: A cluster randomized controlled trial. Addiction. https://doi.org/10.1111/add.15782

Schneider, P. (2021). The QALY is ableist: on the unethical implications of health states worse than dead. Quality of Life Research. https://doi.org/10.1007/s11136-021-03052-4

Scott, A. J., Webb, T. L., Martyn-St James, M., Rowse, G., & Weich, S. (2021). Improving sleep quality leads to better mental health: A meta-analysis of randomised controlled trials. Sleep Medicine Reviews, 60(101556). https://doi.org/10.1016/j.smrv.2021.101556

Shields, G. E., Pennington, B., Bullement, A., Wright, S., & Elvidge, J. (2021). Out of date or best before? A commentary on the relevance of economic evaluations over time. PharmacoEconomics. https://doi.org/10.1007/s40273-021-01116-4

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Wednesday, 19 January 2022

ScHARR Mini Masterclass in Health Research - Estimating the comparative effectiveness of cancer treatments - Wednesday 16th February 2022

Fact or fiction? Estimating the comparative effectiveness of cancer treatments using UK registry data

Dr Nicholas Latimer

Wednesday 16th February 2022 (Online 13:00 - 14:00 GMT)


Join us online for a monthly online masterclass by one of our health research experts based in The School of Health and Related Research


About this event

In the UK we collect very large amounts of data on cancer patients, held by the National Cancer Registration and Analysis Service (NCRAS). Given that we collect all this data, it makes sense to think about what we can do with it: can we use it to robustly compare the real world effectiveness of cancer treatments? The issue with analysing observational data is that there are lots of potential biases – for example, confounding by indication, where patients who receive one treatment may differ prognostically from patients who receive a different treatment. This makes comparisons of treatment effectiveness difficult. However, using methods from the causal inference literature in a “Target Trial” framework may overcome these problems, if the data used to conduct the analyses are comprehensive enough. In Sheffield a programme of work is being undertaken to investigate whether cancer registry data collected in the UK are sufficient for comparing the effectiveness of cancer treatments used in clinical practice, mirroring work also being done in the US and Canada. I will describe the research and comment on progress made so far.


Join the live session by clicking the link:

below.https://eu.bbcollab.com/guest/fbae374ad6ed4eeea1ed792b69c


Nicholas Latimer

Nick is a Reader in Health Economics. He joined ScHARR in 2008 having previously worked in consultancy and the pharmaceutical industry. He has a degree in Economics from the University of Nottingham (2003), an MSc in Health Economics from the University of York (2004) and a PhD in Health Economics from the University of Sheffield (2012). Since joining ScHARR Nick has worked on a variety of projects, including economic evaluations alongside clinical trials, NICE Technology Appraisals, and consultancy projects. His research has focused on the incorporation of survival analysis in economic evaluations and he has completed NIHR Doctoral and Post-Doctoral Research Fellowships on this topic. In 2019 Nick began a Senior Research Fellowship funded by Yorkshire Cancer Research in which he is investigating the application of causal inference techniques to estimate comparative effectiveness from cancer registry datasets. Nick has authored NICE Decision Support Unit technical support documents on survival analysis (TSD14, 2011), treatment switching (TSD16, 2014), and partitioned survival analysis (TSD19, 2017), and is a member of NICE Technology Appraisal Committee B.


Twitter

Nick's profile


Link to the webinar

https://eu.bbcollab.com/guest/fbae374ad6ed4eeea1ed792b69cc2b6c


The live session takes place in a Collaborate webinar - headphones are advisable and easy to set up. You can join with a computer, tablet or smartphone, Chrome and Firefox offer the best browser experience.You can also use a phone to handle audio while in the session by dialling +44 2033 189610 and entering the PIN: 398 583 2702.


We look forward to seeing you online.