Estimating health-state utility values for patients with recurrent ovarian cancer using Functional Assessment of Cancer Therapy - General mapping algorithms.

ABSTRACT:

Objectives

In the absence of EuroQol 5D data, mapping algorithms can be used to predict health-state utility values (HSUVs) for use in economic evaluation. In a placebo-controlled Phase II study of olaparib maintenance therapy (NCT00753545), health-related quality of life was measured using the Functional Assessment of Cancer Therapy - Ovarian (FACT-O) questionnaire. Our objective was to generate HSUVs from the FACT-O data using published mapping algorithms.

Materials and methods

Algorithms were identified from a review of the literature. Goodness-of-fit and patient characteristics were compared to select the best-performing algorithm, and this was used to generate base-case HSUVs for the intention-to-treat population of the olaparib study and for patients with breast cancer

SUBMITTER: Hettle R 

PROVIDER: S-EPMC4664440 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature