[Turing-Southampton] S3RI seminar: Michael Sweeting, Thursday 2-3pm
Helen Ogden
h.e.ogden at soton.ac.uk
Mon Jan 7 09:09:55 GMT 2019
Dear all,
On Thursday (10 January) at 2pm in 54 / 7035 (7B), we have an S3RI
seminar from Michael Sweeting (University of Leicester) on "Discrete
event simulation for assessing the cost-effectiveness of new healthcare
interventions: application to abdominal aortic aneurysm screening".
Details are given below.
The seminar will also be available via a live web-cast at
https://coursecast.soton.ac.uk/Panopto/Pages/Viewer.aspx?id=8fd1f633-c316-4405-9dae-a9ce009662ec
The talk will be followed by tea and cake in the staff reading room on
level 4 of building 54.
All are welcome!
Best wishes,
Helen
Discrete event simulation for assessing the cost-effectiveness of new
healthcare interventions: application to abdominal aortic aneurysm
screening
Michael Sweeting, University of Leicester
Cohort-level Markov models are often used to evaluate the
cost-effectiveness of new healthcare interventions but they are
sometimes not flexible enough to allow accurate modelling or
investigation of alternative scenarios and policies. In this talk I will
describe the Screening Women for Abdominal Aortic Aneurysm (SWAN)
project, where we undertook a health economic assessment of Abdominal
Aortic Aneurysm (AAA) screening in women. A previous multi-state Markov
model of AAA screening in men was adapted to create a more flexible
discrete event simulation (DES) model. Information from published
literature or relevant databases was used to obtain input parameters for
this model relevant to women.
I will describe how the DES model was developed to allow the progression
of AAA to be modelled continuously using a mixed-effects growth model of
aortic diameter. This allowed individual AAAs to grow at different rates
and for different surveillance, diagnosis and intervention strategies
based on observed diameter measurements to be easily compared. Monte
Carlo error in the estimation of incremental costs and effects was
reduced using two complementary approaches; firstly by simulating pairs
of "twins" with similar characteristics, one invited to screening and
one not; and secondly by oversampling individuals who have an AAA at
screening.
Finally, based on findings from this project I will address whether
population AAA screening in women is likely to be cost-effective and
provide recommendations for researchers wishing to conduct their own DES
modelling.
For the current schedule of S3RI seminars, see
https://tinyurl.com/s3riseminar
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