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Abstract

Standard approaches to modelling outcomes commonly include a range of predictors such as age, sex and co-morbidities. However, there is growing evidence that quality-of-life (QoL) is also an important predictor of
mortality.

Whilst the effects of standard risk factors have been adequately captured to describe mortality in most models, the omission of QoL indicates the assumption of full independence between QoL and life expectancy (LE). This omission could give rise to systematic bias when measuring quality-adjusted life years (QALYs).

Using data from a registry cohort of patients undergoing total knee replacement (TKR), potential correlations between baseline utility, change in utility and survival are explored using parametric survival models. Outcomes such as LE, QALYs, and incremental cost-effectiveness ratios (ICERs) were calculated and compared.

Forthcoming events

Infectious Disease Seminar Series: What can we learn from fakes?”

Monday, 05 June 2023, 1pm to 2pm @ BDI Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Infectious Disease Seminar Series: Evidence on the effectiveness of non-pharmaceutical interventions

Monday, 12 June 2023, 1pm to 2pm @ BDI/OxPop Building Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Alcohol phenotypes and how they are related to fMRI derived brain health measurements

Tuesday, 13 June 2023, 11am to 12pm @ Big Data Institute LG 0 Seminar room

Folic acid fortification and disease prevention

Tuesday, 13 June 2023, 1pm to 2pm @ Richard Doll Lecture Theatre, Richard Doll Building, Old Road Campus, OX3 7LF