COMPARING THE METHODS OF INCORPORATING THE HEALTH RELATED QUALITY OF LIFE OF ADVANCED CANCER PATIENTS IN ECONOMIC MODELS
Author(s)
O'Connor J, Hodgson R, Claxton L
University of York, York, UK
OBJECTIVES: : Considering quality of life in oncology is particularly important, given that extension of life provided by treatments are often associated with large disutilities. There are currently several methods and opinions on the best predictor of health-related quality of life (HRQL) for patients with advanced cancers. We describe and assess the methods being used in recently published economic models, the predictors of HRQL chosen (if available) and the pros and cons associated with these methods. METHODS: Recently published NICE Technology Appraisal Guidance reports relating to advanced cancer were chosen as a sample of recently undertaken economic models. The following information was extracted for each of these models from the available reports: how HRQL was modelled and what information and data the HRQL estimates were based. RESULTS: EORTC QLC-C30) However, some models simply used utility estimates derived from published literature. Some of the submissions provided detail on the approaches used to estimate the best predictor of utility within their models. Two submissions linked disease progression to HRQL; another included both time to death and disease progression. Finally, another included fixed covariates for progression status, treatment arm and an interaction variable. CONCLUSIONS: The results showed no clearly recognised best practice for incorporating HRQL in the oncology economic modelling literature reviewed. There are several methods being used and there are advantages and disadvantages associated with each technique. These include data limitations, small samples and lack of the correct data being collected. There are also statistical issues with HRQL associated with time to death in models that use Markov model framework.
Conference/Value in Health Info
2017-11, ISPOR Europe 2017, Glasgow, Scotland
Value in Health, Vol. 20, No. 9 (October 2017)
Code
PRM183
Topic
Methodological & Statistical Research
Topic Subcategory
PRO & Related Methods
Disease
Oncology