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.

Monday 3 August 2020

New project - Modelling strategies for minimising health inequalities in bowel cancer screening


Picture of Dr Sophie Whyte
Dr Sophie Whyte
HEDS are leading on this Cancer Research UK funded project. Sophie Whyte, Chloe Thomas and Olena Mandrik developed the research proposal.


Research aims:
 • Quantify the impact of the current screening programme on health inequalities (compared to no screening). 

• Model the potential cost-effectiveness and impact on inequalities of annual re-invitation of  FIT non-attenders, targeting a) the whole population, b) specifically those from the most socioeconomically deprived groups. 

• Carry out a systematic review to identify interventions with significant and measurable impacts in improving uptake of screening or follow-up investigations and model the potential cost-effectiveness and impact on inequalities of these when targeted at either a) the whole population, b) specifically those from the most socioeconomically deprived groups.

Why is this important? Who will benefit?
In the English Bowel Cancer Screening Programme (BCSP), uptake of both screening and follow-up procedures is lower for low socioeconomic status (SES) groups. It is therefore likely that the pre-existing socioeconomic heath inequalities in Colorectal Cancer (CRC) have been exacerbated by CRC screening. The introduction of Faecal Immunochemical Test - FIT screening in England from 2019 is expected to reduce but not eliminate these disparities in screening uptake. Strategies to rebalance socioeconomic differences in CRC health outcomes are therefore required. 

Please click here for the 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 Techical Document